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ASTRO Releases New EBRT Guideline for Symptomatic Bone Mets
The guideline was needed to update previous recommendations and incorporate new high-quality evidence for the management of symptomatic bone metastases, Sara Alcorn, MD, PhD, of the University of Minnesota, Minneapolis, and colleagues wrote in Practical Radiation Oncology.
The focus was on the efficacy of EBRT in reducing pain, improving skeletal function, and enhancing quality of life, they wrote in the clinical practice guideline.
In developing their recommendations, the ASTRO task force reviewed evidence from 53 randomized controlled trials (RCTs) and 31 nonrandomized studies, and considered clinical experience.
Indications for Palliative Radiation
EBRT is strongly recommended for reducing pain from osseous metastasis and improving ambulatory status, sphincter function, and reducing pain in patients with spinal metastases causing compression of the spinal cord or cauda equina.
For patients with symptomatic bone metastases and an anticipated life expectancy of at least 4 weeks, EBRT is conditionally recommended to improve quality of life.
Implementation of other Treatments Alongside Palliative Radiation
Instead of RT alone, surgery with postoperative RT is conditionally recommended for patients with compression of the spinal cord or cauda equina.
Postoperative RT is strongly recommended for patients who have undergone surgery for non-spine bone metastases or spine metastases without involving spinal cord or cauda equina compression.
For patients with spinal bone metastases compressing the spinal cord or cauda equina, combining RT with dexamethasone is strongly recommended over RT alone.
Techniques, Dose-Fractionation, and Dose-Constraints for Initial Palliative Radiation
For patients with symptomatic bone metastases undergoing conventional palliative RT, strongly recommended doses are 800 cGy in 1 fraction, 2000 cGy in 5 fractions, 2400 cGy in 6 fractions, or 3000 cGy in 10 fractions.
For patients with spinal bone metastases causing compression of the spinal cord or cauda equina who are not candidates for initial surgical decompression and are treated with conventional palliative RT, strongly recommended doses are 800 cGy in 1 fraction, 1600 cGy in 2 fractions, 2000 cGy in 5 fractions, or 3000 cGy in 10 fractions.
When selecting dose-fractionation, consider patient and disease factors such as prognosis and radiosensitivity, the authors wrote.
Highly conformal planning and delivery techniques, such as intensity-modulated radiation therapy, are conditionally recommended for patients with spinal bone metastases compressing the spinal cord or cauda equina who are receiving dose-escalated palliative RT.
The strongly recommended stereotactic body radiotherapy (SBRT) doses for patients with symptomatic bone metastases are 1200 to 1600 cGy in 1 fraction for non-spine metastases and 2400 cGy in 2 fractions for spine metastases. Other established SBRT dose and fractionation regimens with similar biologically effective doses may be considered based on patient tumor characteristics, normal tissue factors, and physician experience.
For patients with symptomatic bone metastases who have an ECOG PS of 0-2, are not undergoing surgical intervention, and have no neurological symptoms, SBRT is conditionally recommended over conventional palliative RT. Other factors to consider include life expectancy, tumor radiosensitivity, and metastatic disease burden, the guideline says.
Techniques, Dose-Fractionation, and Dose-Constraints for Palliative Reirradiation
For patients with spinal bone metastases requiring reirradiation to the same site, the strongly recommended conventional palliative RT regimens are 800 cGy in 1 fraction, 2000 cGy in 5 fractions, 2400 cGy in 6 fractions, or 2000 cGy in 8 fractions. When determining the RT dose-fractionation, consider the prior RT dose, time interval, and total spinal cord tolerance, the guideline says.
Treatment with SBRT is conditionally recommended for patients with spinal bone metastases needing reirradiation at the same site. When determining if SBRT is appropriate, consider patient factors such as urgency of treatment, prognosis, and radio-resistance. In addition, consider the prior RT dose, time interval, and total spinal cord tolerance when determining the RT dose-fractionation, the authors say.
The strongly recommended options for patients with symptomatic non-spine bone metastases needing reirradiation at the same site are single-fraction RT (800 cGy in 1 fraction) or multifraction conventional palliative RT (2000 cGy in 5 fractions or 2400 cGy in 6 fractions).
Impact of Techniques and Dose-fractionation on Quality of Life and Toxicity
For patients with bone metastases undergoing palliative radiation, it is strongly recommended to use a shared decision-making approach to determine the dose, fractionation, and supportive measures to optimize quality of life.
“Based on published data, the ASTRO task force’s recommendations inform best clinical practices on palliative RT for symptomatic bone metastases,” the guideline panelists said.
Limitations
While the guideline provides comprehensive recommendations, the panelists underscored the importance of individualized treatment approaches. Future research is needed to address gaps in evidence, particularly regarding advanced RT techniques and reirradiation strategies.
Guideline development was funded by ASTRO, with the systematic evidence review funded by the Patient-Centered Outcomes Research Institute. The panelists disclosed relationships with AstraZeneca, Elekta, Teladoc, and others.
The guideline was needed to update previous recommendations and incorporate new high-quality evidence for the management of symptomatic bone metastases, Sara Alcorn, MD, PhD, of the University of Minnesota, Minneapolis, and colleagues wrote in Practical Radiation Oncology.
The focus was on the efficacy of EBRT in reducing pain, improving skeletal function, and enhancing quality of life, they wrote in the clinical practice guideline.
In developing their recommendations, the ASTRO task force reviewed evidence from 53 randomized controlled trials (RCTs) and 31 nonrandomized studies, and considered clinical experience.
Indications for Palliative Radiation
EBRT is strongly recommended for reducing pain from osseous metastasis and improving ambulatory status, sphincter function, and reducing pain in patients with spinal metastases causing compression of the spinal cord or cauda equina.
For patients with symptomatic bone metastases and an anticipated life expectancy of at least 4 weeks, EBRT is conditionally recommended to improve quality of life.
Implementation of other Treatments Alongside Palliative Radiation
Instead of RT alone, surgery with postoperative RT is conditionally recommended for patients with compression of the spinal cord or cauda equina.
Postoperative RT is strongly recommended for patients who have undergone surgery for non-spine bone metastases or spine metastases without involving spinal cord or cauda equina compression.
For patients with spinal bone metastases compressing the spinal cord or cauda equina, combining RT with dexamethasone is strongly recommended over RT alone.
Techniques, Dose-Fractionation, and Dose-Constraints for Initial Palliative Radiation
For patients with symptomatic bone metastases undergoing conventional palliative RT, strongly recommended doses are 800 cGy in 1 fraction, 2000 cGy in 5 fractions, 2400 cGy in 6 fractions, or 3000 cGy in 10 fractions.
For patients with spinal bone metastases causing compression of the spinal cord or cauda equina who are not candidates for initial surgical decompression and are treated with conventional palliative RT, strongly recommended doses are 800 cGy in 1 fraction, 1600 cGy in 2 fractions, 2000 cGy in 5 fractions, or 3000 cGy in 10 fractions.
When selecting dose-fractionation, consider patient and disease factors such as prognosis and radiosensitivity, the authors wrote.
Highly conformal planning and delivery techniques, such as intensity-modulated radiation therapy, are conditionally recommended for patients with spinal bone metastases compressing the spinal cord or cauda equina who are receiving dose-escalated palliative RT.
The strongly recommended stereotactic body radiotherapy (SBRT) doses for patients with symptomatic bone metastases are 1200 to 1600 cGy in 1 fraction for non-spine metastases and 2400 cGy in 2 fractions for spine metastases. Other established SBRT dose and fractionation regimens with similar biologically effective doses may be considered based on patient tumor characteristics, normal tissue factors, and physician experience.
For patients with symptomatic bone metastases who have an ECOG PS of 0-2, are not undergoing surgical intervention, and have no neurological symptoms, SBRT is conditionally recommended over conventional palliative RT. Other factors to consider include life expectancy, tumor radiosensitivity, and metastatic disease burden, the guideline says.
Techniques, Dose-Fractionation, and Dose-Constraints for Palliative Reirradiation
For patients with spinal bone metastases requiring reirradiation to the same site, the strongly recommended conventional palliative RT regimens are 800 cGy in 1 fraction, 2000 cGy in 5 fractions, 2400 cGy in 6 fractions, or 2000 cGy in 8 fractions. When determining the RT dose-fractionation, consider the prior RT dose, time interval, and total spinal cord tolerance, the guideline says.
Treatment with SBRT is conditionally recommended for patients with spinal bone metastases needing reirradiation at the same site. When determining if SBRT is appropriate, consider patient factors such as urgency of treatment, prognosis, and radio-resistance. In addition, consider the prior RT dose, time interval, and total spinal cord tolerance when determining the RT dose-fractionation, the authors say.
The strongly recommended options for patients with symptomatic non-spine bone metastases needing reirradiation at the same site are single-fraction RT (800 cGy in 1 fraction) or multifraction conventional palliative RT (2000 cGy in 5 fractions or 2400 cGy in 6 fractions).
Impact of Techniques and Dose-fractionation on Quality of Life and Toxicity
For patients with bone metastases undergoing palliative radiation, it is strongly recommended to use a shared decision-making approach to determine the dose, fractionation, and supportive measures to optimize quality of life.
“Based on published data, the ASTRO task force’s recommendations inform best clinical practices on palliative RT for symptomatic bone metastases,” the guideline panelists said.
Limitations
While the guideline provides comprehensive recommendations, the panelists underscored the importance of individualized treatment approaches. Future research is needed to address gaps in evidence, particularly regarding advanced RT techniques and reirradiation strategies.
Guideline development was funded by ASTRO, with the systematic evidence review funded by the Patient-Centered Outcomes Research Institute. The panelists disclosed relationships with AstraZeneca, Elekta, Teladoc, and others.
The guideline was needed to update previous recommendations and incorporate new high-quality evidence for the management of symptomatic bone metastases, Sara Alcorn, MD, PhD, of the University of Minnesota, Minneapolis, and colleagues wrote in Practical Radiation Oncology.
The focus was on the efficacy of EBRT in reducing pain, improving skeletal function, and enhancing quality of life, they wrote in the clinical practice guideline.
In developing their recommendations, the ASTRO task force reviewed evidence from 53 randomized controlled trials (RCTs) and 31 nonrandomized studies, and considered clinical experience.
Indications for Palliative Radiation
EBRT is strongly recommended for reducing pain from osseous metastasis and improving ambulatory status, sphincter function, and reducing pain in patients with spinal metastases causing compression of the spinal cord or cauda equina.
For patients with symptomatic bone metastases and an anticipated life expectancy of at least 4 weeks, EBRT is conditionally recommended to improve quality of life.
Implementation of other Treatments Alongside Palliative Radiation
Instead of RT alone, surgery with postoperative RT is conditionally recommended for patients with compression of the spinal cord or cauda equina.
Postoperative RT is strongly recommended for patients who have undergone surgery for non-spine bone metastases or spine metastases without involving spinal cord or cauda equina compression.
For patients with spinal bone metastases compressing the spinal cord or cauda equina, combining RT with dexamethasone is strongly recommended over RT alone.
Techniques, Dose-Fractionation, and Dose-Constraints for Initial Palliative Radiation
For patients with symptomatic bone metastases undergoing conventional palliative RT, strongly recommended doses are 800 cGy in 1 fraction, 2000 cGy in 5 fractions, 2400 cGy in 6 fractions, or 3000 cGy in 10 fractions.
For patients with spinal bone metastases causing compression of the spinal cord or cauda equina who are not candidates for initial surgical decompression and are treated with conventional palliative RT, strongly recommended doses are 800 cGy in 1 fraction, 1600 cGy in 2 fractions, 2000 cGy in 5 fractions, or 3000 cGy in 10 fractions.
When selecting dose-fractionation, consider patient and disease factors such as prognosis and radiosensitivity, the authors wrote.
Highly conformal planning and delivery techniques, such as intensity-modulated radiation therapy, are conditionally recommended for patients with spinal bone metastases compressing the spinal cord or cauda equina who are receiving dose-escalated palliative RT.
The strongly recommended stereotactic body radiotherapy (SBRT) doses for patients with symptomatic bone metastases are 1200 to 1600 cGy in 1 fraction for non-spine metastases and 2400 cGy in 2 fractions for spine metastases. Other established SBRT dose and fractionation regimens with similar biologically effective doses may be considered based on patient tumor characteristics, normal tissue factors, and physician experience.
For patients with symptomatic bone metastases who have an ECOG PS of 0-2, are not undergoing surgical intervention, and have no neurological symptoms, SBRT is conditionally recommended over conventional palliative RT. Other factors to consider include life expectancy, tumor radiosensitivity, and metastatic disease burden, the guideline says.
Techniques, Dose-Fractionation, and Dose-Constraints for Palliative Reirradiation
For patients with spinal bone metastases requiring reirradiation to the same site, the strongly recommended conventional palliative RT regimens are 800 cGy in 1 fraction, 2000 cGy in 5 fractions, 2400 cGy in 6 fractions, or 2000 cGy in 8 fractions. When determining the RT dose-fractionation, consider the prior RT dose, time interval, and total spinal cord tolerance, the guideline says.
Treatment with SBRT is conditionally recommended for patients with spinal bone metastases needing reirradiation at the same site. When determining if SBRT is appropriate, consider patient factors such as urgency of treatment, prognosis, and radio-resistance. In addition, consider the prior RT dose, time interval, and total spinal cord tolerance when determining the RT dose-fractionation, the authors say.
The strongly recommended options for patients with symptomatic non-spine bone metastases needing reirradiation at the same site are single-fraction RT (800 cGy in 1 fraction) or multifraction conventional palliative RT (2000 cGy in 5 fractions or 2400 cGy in 6 fractions).
Impact of Techniques and Dose-fractionation on Quality of Life and Toxicity
For patients with bone metastases undergoing palliative radiation, it is strongly recommended to use a shared decision-making approach to determine the dose, fractionation, and supportive measures to optimize quality of life.
“Based on published data, the ASTRO task force’s recommendations inform best clinical practices on palliative RT for symptomatic bone metastases,” the guideline panelists said.
Limitations
While the guideline provides comprehensive recommendations, the panelists underscored the importance of individualized treatment approaches. Future research is needed to address gaps in evidence, particularly regarding advanced RT techniques and reirradiation strategies.
Guideline development was funded by ASTRO, with the systematic evidence review funded by the Patient-Centered Outcomes Research Institute. The panelists disclosed relationships with AstraZeneca, Elekta, Teladoc, and others.
FROM PRACTICAL RADIATION ONCOLOGY
Obesity and Cancer: Untangling a Complex Web
According to the Centers for Disease Control and Prevention (CDC), over 684,000 Americans are diagnosed with an “obesity-associated” cancer each year.
The incidence of many of these cancers has been rising in recent years, particularly among younger people — a trend that sits in contrast with the overall decline in cancers with no established relationship to excess weight, such as lung and skin cancers.
Is obesity the new smoking? Not exactly.
While about 42% of cancers — including common ones such as colorectal and postmenopausal breast cancers — are considered obesity-related, only about 8% of incident cancers are attributed to excess body weight. People often develop those diseases regardless of weight.
Although plenty of evidence points to excess body fat as a cancer risk factor, it’s unclear at what point excess weight has an effect. Is gaining weight later in life, for instance, better or worse for cancer risk than being overweight or obese from a young age?
There’s another glaring knowledge gap: Does losing weight at some point in adulthood change the picture? In other words, how many of those 684,000 diagnoses might have been prevented if people shed excess pounds?
When it comes to weight and cancer risk, “there’s a lot we don’t know,” said Jennifer W. Bea, PhD, associate professor, health promotion sciences, University of Arizona, Tucson.
A Consistent but Complicated Relationship
Given the growing incidence of obesity — which currently affects about 42% of US adults and 20% of children and teenagers — it’s no surprise that many studies have delved into the potential effects of excess weight on cancer rates.
Although virtually all the evidence comes from large cohort studies, leaving the cause-effect question open, certain associations keep showing up.
“What we know is that, consistently, a higher body mass index [BMI] — particularly in the obese category — leads to a higher risk of multiple cancers,” said Jeffrey A. Meyerhardt, MD, MPH, codirector, Colon and Rectal Cancer Center, Dana-Farber Cancer Institute, Boston.
In a widely cited report published in The New England Journal of Medicine in 2016, the International Agency for Research on Cancer (IARC) analyzed over 1000 epidemiologic studies on body fat and cancer. The agency pointed to over a dozen cancers, including some of the most common and deadly, linked to excess body weight.
That list includes esophageal adenocarcinoma and endometrial cancer — associated with the highest risk — along with kidney, liver, stomach (gastric cardia), pancreatic, colorectal, postmenopausal breast, gallbladder, ovarian, and thyroid cancers, plus multiple myeloma and meningioma. There’s also “limited” evidence linking excess weight to additional cancer types, including aggressive prostate cancer and certain head and neck cancers.
At the same time, Dr. Meyerhardt said, many of those same cancers are also associated with issues that lead to, or coexist with, overweight and obesity, including poor diet, lack of exercise, and metabolic conditions such as diabetes.
It’s a complicated web, and it’s likely, Dr. Meyerhardt said, that high BMI both directly affects cancer risk and is part of a “causal pathway” of other factors that do.
Regarding direct effects, preclinical research has pointed to multiple ways in which excess body fat could contribute to cancer, said Karen M. Basen-Engquist, PhD, MPH, professor, Division of Cancer Prevention and Population Services, The University of Texas MD Anderson Cancer Center, Houston.
One broad mechanism to help explain the obesity-cancer link is chronic systemic inflammation because excess fat tissue can raise levels of substances in the body, such as tumor necrosis factor alpha and interleukin 6, which fuel inflammation. Excess fat also contributes to hyperinsulinemia — too much insulin in the blood — which can help promote the growth and spread of tumor cells.
But the underlying reasons also appear to vary by cancer type, Dr. Basen-Engquist said. With hormonally driven cancer types, such as breast and endometrial, excess body fat may alter hormone levels in ways that spur tumor growth. Extra fat tissue may, for example, convert androgens into estrogens, which could help feed estrogen-dependent tumors.
That, Dr. Basen-Engquist noted, could be why excess weight is associated with postmenopausal, not premenopausal, breast cancer: Before menopause, body fat is a relatively minor contributor to estrogen levels but becomes more important after menopause.
How Big Is the Effect?
While more than a dozen cancers have been consistently linked to excess weight, the strength of those associations varies considerably.
Endometrial and esophageal cancers are two that stand out. In the 2016 IARC analysis, people with severe obesity had a seven-times greater risk for endometrial cancer and 4.8-times greater risk for esophageal adenocarcinoma vs people with a normal BMI.
With other cancers, the risk increases for those with severe obesity compared with a normal BMI were far more modest: 10% for ovarian cancer, 30% for colorectal cancer, and 80% for kidney and stomach cancers, for example. For postmenopausal breast cancer, every five-unit increase in BMI was associated with a 10% relative risk increase.
A 2018 study from the American Cancer Society, which attempted to estimate the proportion of cancers in the United States attributable to modifiable risk factors — including alcohol consumption, ultraviolet rays exposure, and physical inactivity — found that smoking accounted for the highest proportion of cancer cases by a wide margin (19%), but excess weight came in second (7.8%).
Again, weight appeared to play a bigger role in certain cancers than others: An estimated 60% of endometrial cancers were linked to excess weight, as were roughly one third of esophageal, kidney, and liver cancers. At the other end of the spectrum, just over 11% of breast, 5% of colorectal, and 4% of ovarian cancers were attributable to excess weight.
Even at the lower end, those rates could make a big difference on the population level, especially for groups with higher rates of obesity.
CDC data show that obesity-related cancers are rising among women younger than 50 years, most rapidly among Hispanic women, and some less common obesity-related cancers, such as stomach, thyroid and pancreatic, are also rising among Black individuals and Hispanic Americans.
Obesity may be one reason for growing cancer disparities, said Leah Ferrucci, PhD, MPH, assistant professor, epidemiology, Yale School of Public Health, New Haven, Connecticut. But, she added, the evidence is limited because Black individuals and Hispanic Americans are understudied.
When Do Extra Pounds Matter?
When it comes to cancer risk, at what point in life does excess weight, or weight gain, matter? Is the standard weight gain in middle age, for instance, as hazardous as being overweight or obese from a young age?
Some evidence suggests there’s no “safe” time for putting on excess pounds.
A recent meta-analysis concluded that weight gain at any point after age 18 years is associated with incremental increases in the risk for postmenopausal breast cancer. A 2023 study in JAMA Network Open found a similar pattern with colorectal and other gastrointestinal cancers: People who had sustained overweight or obesity from age 20 years through middle age faced an increased risk of developing those cancers after age 55 years.
The timing of weight gain didn’t seem to matter either. The same elevated risk held among people who were normal weight in their younger years but became overweight after age 55 years.
Those studies focused on later-onset disease. But, in recent years, experts have tracked a troubling rise in early-onset cancers — those diagnosed before age 50 years — particularly gastrointestinal cancers.
An obvious question, Dr. Meyerhardt said, is whether the growing prevalence of obesity among young people is partly to blame.
There’s some data to support that, he said. An analysis from the Nurses’ Health Study II found that women with obesity had double the risk for early-onset colorectal cancer as those with a normal BMI. And every 5-kg increase in weight after age 18 years was associated with a 9% increase in colorectal cancer risk.
But while obesity trends probably partly explain the rise in early-onset cancers, there is likely more to the story, Dr. Meyerhardt said.
“I think all of us who see an increasing number of patients under 50 with colorectal cancer know there’s a fair number who do not fit that [high BMI] profile,” he said. “There’s a fair number over 50 who don’t either.”
Does Weight Loss Help?
With all the evidence pointing to high BMI as a cancer risk factor, a logical conclusion is that weight loss should reduce that excess risk. However, Dr. Bea said, there’s actually little data to support that, and what exists comes from observational studies.
Some research has focused on people who had substantial weight loss after bariatric surgery, with encouraging results. A study published in JAMA found that among 5053 people who underwent bariatric surgery, 2.9% developed an obesity-related cancer over 10 years compared with 4.9% in the nonsurgery group.
Most people, however, aim for less dramatic weight loss, with the help of diet and exercise or sometimes medication. Some evidence shows that a modest degree of weight loss may lower the risks for postmenopausal breast and endometrial cancers.
A 2020 pooled analysis found, for instance, that among women aged ≥ 50 years, those who lost as little as 2.0-4.5 kg, or 4.4-10.0 pounds, and kept it off for 10 years had a lower risk for breast cancer than women whose weight remained stable. And losing more weight — 9 kg, or about 20 pounds, or more — was even better for lowering cancer risk.
But other research suggests the opposite. A recent analysis found that people who lost weight within the past 2 years through diet and exercise had a higher risk for a range of cancers compared with those who did not lose weight. Overall, though, the increased risk was quite low.
Whatever the research does, or doesn’t, show about weight and cancer risk, Dr. Basen-Engquist said, it’s important that risk factors, obesity and otherwise, aren’t “used as blame tools.”
“With obesity, behavior certainly plays into it,” she said. “But there are so many influences on our behavior that are socially determined.”
Both Dr. Basen-Engquist and Dr. Meyerhardt said it’s important for clinicians to consider the individual in front of them and for everyone to set realistic expectations.
People with obesity should not feel they have to become thin to be healthier, and no one has to leap from being sedentary to exercising several hours a week.
“We don’t want patients to feel that if they don’t get to a stated goal in a guideline, it’s all for naught,” Dr. Meyerhardt said.
A version of this article appeared on Medscape.com.
According to the Centers for Disease Control and Prevention (CDC), over 684,000 Americans are diagnosed with an “obesity-associated” cancer each year.
The incidence of many of these cancers has been rising in recent years, particularly among younger people — a trend that sits in contrast with the overall decline in cancers with no established relationship to excess weight, such as lung and skin cancers.
Is obesity the new smoking? Not exactly.
While about 42% of cancers — including common ones such as colorectal and postmenopausal breast cancers — are considered obesity-related, only about 8% of incident cancers are attributed to excess body weight. People often develop those diseases regardless of weight.
Although plenty of evidence points to excess body fat as a cancer risk factor, it’s unclear at what point excess weight has an effect. Is gaining weight later in life, for instance, better or worse for cancer risk than being overweight or obese from a young age?
There’s another glaring knowledge gap: Does losing weight at some point in adulthood change the picture? In other words, how many of those 684,000 diagnoses might have been prevented if people shed excess pounds?
When it comes to weight and cancer risk, “there’s a lot we don’t know,” said Jennifer W. Bea, PhD, associate professor, health promotion sciences, University of Arizona, Tucson.
A Consistent but Complicated Relationship
Given the growing incidence of obesity — which currently affects about 42% of US adults and 20% of children and teenagers — it’s no surprise that many studies have delved into the potential effects of excess weight on cancer rates.
Although virtually all the evidence comes from large cohort studies, leaving the cause-effect question open, certain associations keep showing up.
“What we know is that, consistently, a higher body mass index [BMI] — particularly in the obese category — leads to a higher risk of multiple cancers,” said Jeffrey A. Meyerhardt, MD, MPH, codirector, Colon and Rectal Cancer Center, Dana-Farber Cancer Institute, Boston.
In a widely cited report published in The New England Journal of Medicine in 2016, the International Agency for Research on Cancer (IARC) analyzed over 1000 epidemiologic studies on body fat and cancer. The agency pointed to over a dozen cancers, including some of the most common and deadly, linked to excess body weight.
That list includes esophageal adenocarcinoma and endometrial cancer — associated with the highest risk — along with kidney, liver, stomach (gastric cardia), pancreatic, colorectal, postmenopausal breast, gallbladder, ovarian, and thyroid cancers, plus multiple myeloma and meningioma. There’s also “limited” evidence linking excess weight to additional cancer types, including aggressive prostate cancer and certain head and neck cancers.
At the same time, Dr. Meyerhardt said, many of those same cancers are also associated with issues that lead to, or coexist with, overweight and obesity, including poor diet, lack of exercise, and metabolic conditions such as diabetes.
It’s a complicated web, and it’s likely, Dr. Meyerhardt said, that high BMI both directly affects cancer risk and is part of a “causal pathway” of other factors that do.
Regarding direct effects, preclinical research has pointed to multiple ways in which excess body fat could contribute to cancer, said Karen M. Basen-Engquist, PhD, MPH, professor, Division of Cancer Prevention and Population Services, The University of Texas MD Anderson Cancer Center, Houston.
One broad mechanism to help explain the obesity-cancer link is chronic systemic inflammation because excess fat tissue can raise levels of substances in the body, such as tumor necrosis factor alpha and interleukin 6, which fuel inflammation. Excess fat also contributes to hyperinsulinemia — too much insulin in the blood — which can help promote the growth and spread of tumor cells.
But the underlying reasons also appear to vary by cancer type, Dr. Basen-Engquist said. With hormonally driven cancer types, such as breast and endometrial, excess body fat may alter hormone levels in ways that spur tumor growth. Extra fat tissue may, for example, convert androgens into estrogens, which could help feed estrogen-dependent tumors.
That, Dr. Basen-Engquist noted, could be why excess weight is associated with postmenopausal, not premenopausal, breast cancer: Before menopause, body fat is a relatively minor contributor to estrogen levels but becomes more important after menopause.
How Big Is the Effect?
While more than a dozen cancers have been consistently linked to excess weight, the strength of those associations varies considerably.
Endometrial and esophageal cancers are two that stand out. In the 2016 IARC analysis, people with severe obesity had a seven-times greater risk for endometrial cancer and 4.8-times greater risk for esophageal adenocarcinoma vs people with a normal BMI.
With other cancers, the risk increases for those with severe obesity compared with a normal BMI were far more modest: 10% for ovarian cancer, 30% for colorectal cancer, and 80% for kidney and stomach cancers, for example. For postmenopausal breast cancer, every five-unit increase in BMI was associated with a 10% relative risk increase.
A 2018 study from the American Cancer Society, which attempted to estimate the proportion of cancers in the United States attributable to modifiable risk factors — including alcohol consumption, ultraviolet rays exposure, and physical inactivity — found that smoking accounted for the highest proportion of cancer cases by a wide margin (19%), but excess weight came in second (7.8%).
Again, weight appeared to play a bigger role in certain cancers than others: An estimated 60% of endometrial cancers were linked to excess weight, as were roughly one third of esophageal, kidney, and liver cancers. At the other end of the spectrum, just over 11% of breast, 5% of colorectal, and 4% of ovarian cancers were attributable to excess weight.
Even at the lower end, those rates could make a big difference on the population level, especially for groups with higher rates of obesity.
CDC data show that obesity-related cancers are rising among women younger than 50 years, most rapidly among Hispanic women, and some less common obesity-related cancers, such as stomach, thyroid and pancreatic, are also rising among Black individuals and Hispanic Americans.
Obesity may be one reason for growing cancer disparities, said Leah Ferrucci, PhD, MPH, assistant professor, epidemiology, Yale School of Public Health, New Haven, Connecticut. But, she added, the evidence is limited because Black individuals and Hispanic Americans are understudied.
When Do Extra Pounds Matter?
When it comes to cancer risk, at what point in life does excess weight, or weight gain, matter? Is the standard weight gain in middle age, for instance, as hazardous as being overweight or obese from a young age?
Some evidence suggests there’s no “safe” time for putting on excess pounds.
A recent meta-analysis concluded that weight gain at any point after age 18 years is associated with incremental increases in the risk for postmenopausal breast cancer. A 2023 study in JAMA Network Open found a similar pattern with colorectal and other gastrointestinal cancers: People who had sustained overweight or obesity from age 20 years through middle age faced an increased risk of developing those cancers after age 55 years.
The timing of weight gain didn’t seem to matter either. The same elevated risk held among people who were normal weight in their younger years but became overweight after age 55 years.
Those studies focused on later-onset disease. But, in recent years, experts have tracked a troubling rise in early-onset cancers — those diagnosed before age 50 years — particularly gastrointestinal cancers.
An obvious question, Dr. Meyerhardt said, is whether the growing prevalence of obesity among young people is partly to blame.
There’s some data to support that, he said. An analysis from the Nurses’ Health Study II found that women with obesity had double the risk for early-onset colorectal cancer as those with a normal BMI. And every 5-kg increase in weight after age 18 years was associated with a 9% increase in colorectal cancer risk.
But while obesity trends probably partly explain the rise in early-onset cancers, there is likely more to the story, Dr. Meyerhardt said.
“I think all of us who see an increasing number of patients under 50 with colorectal cancer know there’s a fair number who do not fit that [high BMI] profile,” he said. “There’s a fair number over 50 who don’t either.”
Does Weight Loss Help?
With all the evidence pointing to high BMI as a cancer risk factor, a logical conclusion is that weight loss should reduce that excess risk. However, Dr. Bea said, there’s actually little data to support that, and what exists comes from observational studies.
Some research has focused on people who had substantial weight loss after bariatric surgery, with encouraging results. A study published in JAMA found that among 5053 people who underwent bariatric surgery, 2.9% developed an obesity-related cancer over 10 years compared with 4.9% in the nonsurgery group.
Most people, however, aim for less dramatic weight loss, with the help of diet and exercise or sometimes medication. Some evidence shows that a modest degree of weight loss may lower the risks for postmenopausal breast and endometrial cancers.
A 2020 pooled analysis found, for instance, that among women aged ≥ 50 years, those who lost as little as 2.0-4.5 kg, or 4.4-10.0 pounds, and kept it off for 10 years had a lower risk for breast cancer than women whose weight remained stable. And losing more weight — 9 kg, or about 20 pounds, or more — was even better for lowering cancer risk.
But other research suggests the opposite. A recent analysis found that people who lost weight within the past 2 years through diet and exercise had a higher risk for a range of cancers compared with those who did not lose weight. Overall, though, the increased risk was quite low.
Whatever the research does, or doesn’t, show about weight and cancer risk, Dr. Basen-Engquist said, it’s important that risk factors, obesity and otherwise, aren’t “used as blame tools.”
“With obesity, behavior certainly plays into it,” she said. “But there are so many influences on our behavior that are socially determined.”
Both Dr. Basen-Engquist and Dr. Meyerhardt said it’s important for clinicians to consider the individual in front of them and for everyone to set realistic expectations.
People with obesity should not feel they have to become thin to be healthier, and no one has to leap from being sedentary to exercising several hours a week.
“We don’t want patients to feel that if they don’t get to a stated goal in a guideline, it’s all for naught,” Dr. Meyerhardt said.
A version of this article appeared on Medscape.com.
According to the Centers for Disease Control and Prevention (CDC), over 684,000 Americans are diagnosed with an “obesity-associated” cancer each year.
The incidence of many of these cancers has been rising in recent years, particularly among younger people — a trend that sits in contrast with the overall decline in cancers with no established relationship to excess weight, such as lung and skin cancers.
Is obesity the new smoking? Not exactly.
While about 42% of cancers — including common ones such as colorectal and postmenopausal breast cancers — are considered obesity-related, only about 8% of incident cancers are attributed to excess body weight. People often develop those diseases regardless of weight.
Although plenty of evidence points to excess body fat as a cancer risk factor, it’s unclear at what point excess weight has an effect. Is gaining weight later in life, for instance, better or worse for cancer risk than being overweight or obese from a young age?
There’s another glaring knowledge gap: Does losing weight at some point in adulthood change the picture? In other words, how many of those 684,000 diagnoses might have been prevented if people shed excess pounds?
When it comes to weight and cancer risk, “there’s a lot we don’t know,” said Jennifer W. Bea, PhD, associate professor, health promotion sciences, University of Arizona, Tucson.
A Consistent but Complicated Relationship
Given the growing incidence of obesity — which currently affects about 42% of US adults and 20% of children and teenagers — it’s no surprise that many studies have delved into the potential effects of excess weight on cancer rates.
Although virtually all the evidence comes from large cohort studies, leaving the cause-effect question open, certain associations keep showing up.
“What we know is that, consistently, a higher body mass index [BMI] — particularly in the obese category — leads to a higher risk of multiple cancers,” said Jeffrey A. Meyerhardt, MD, MPH, codirector, Colon and Rectal Cancer Center, Dana-Farber Cancer Institute, Boston.
In a widely cited report published in The New England Journal of Medicine in 2016, the International Agency for Research on Cancer (IARC) analyzed over 1000 epidemiologic studies on body fat and cancer. The agency pointed to over a dozen cancers, including some of the most common and deadly, linked to excess body weight.
That list includes esophageal adenocarcinoma and endometrial cancer — associated with the highest risk — along with kidney, liver, stomach (gastric cardia), pancreatic, colorectal, postmenopausal breast, gallbladder, ovarian, and thyroid cancers, plus multiple myeloma and meningioma. There’s also “limited” evidence linking excess weight to additional cancer types, including aggressive prostate cancer and certain head and neck cancers.
At the same time, Dr. Meyerhardt said, many of those same cancers are also associated with issues that lead to, or coexist with, overweight and obesity, including poor diet, lack of exercise, and metabolic conditions such as diabetes.
It’s a complicated web, and it’s likely, Dr. Meyerhardt said, that high BMI both directly affects cancer risk and is part of a “causal pathway” of other factors that do.
Regarding direct effects, preclinical research has pointed to multiple ways in which excess body fat could contribute to cancer, said Karen M. Basen-Engquist, PhD, MPH, professor, Division of Cancer Prevention and Population Services, The University of Texas MD Anderson Cancer Center, Houston.
One broad mechanism to help explain the obesity-cancer link is chronic systemic inflammation because excess fat tissue can raise levels of substances in the body, such as tumor necrosis factor alpha and interleukin 6, which fuel inflammation. Excess fat also contributes to hyperinsulinemia — too much insulin in the blood — which can help promote the growth and spread of tumor cells.
But the underlying reasons also appear to vary by cancer type, Dr. Basen-Engquist said. With hormonally driven cancer types, such as breast and endometrial, excess body fat may alter hormone levels in ways that spur tumor growth. Extra fat tissue may, for example, convert androgens into estrogens, which could help feed estrogen-dependent tumors.
That, Dr. Basen-Engquist noted, could be why excess weight is associated with postmenopausal, not premenopausal, breast cancer: Before menopause, body fat is a relatively minor contributor to estrogen levels but becomes more important after menopause.
How Big Is the Effect?
While more than a dozen cancers have been consistently linked to excess weight, the strength of those associations varies considerably.
Endometrial and esophageal cancers are two that stand out. In the 2016 IARC analysis, people with severe obesity had a seven-times greater risk for endometrial cancer and 4.8-times greater risk for esophageal adenocarcinoma vs people with a normal BMI.
With other cancers, the risk increases for those with severe obesity compared with a normal BMI were far more modest: 10% for ovarian cancer, 30% for colorectal cancer, and 80% for kidney and stomach cancers, for example. For postmenopausal breast cancer, every five-unit increase in BMI was associated with a 10% relative risk increase.
A 2018 study from the American Cancer Society, which attempted to estimate the proportion of cancers in the United States attributable to modifiable risk factors — including alcohol consumption, ultraviolet rays exposure, and physical inactivity — found that smoking accounted for the highest proportion of cancer cases by a wide margin (19%), but excess weight came in second (7.8%).
Again, weight appeared to play a bigger role in certain cancers than others: An estimated 60% of endometrial cancers were linked to excess weight, as were roughly one third of esophageal, kidney, and liver cancers. At the other end of the spectrum, just over 11% of breast, 5% of colorectal, and 4% of ovarian cancers were attributable to excess weight.
Even at the lower end, those rates could make a big difference on the population level, especially for groups with higher rates of obesity.
CDC data show that obesity-related cancers are rising among women younger than 50 years, most rapidly among Hispanic women, and some less common obesity-related cancers, such as stomach, thyroid and pancreatic, are also rising among Black individuals and Hispanic Americans.
Obesity may be one reason for growing cancer disparities, said Leah Ferrucci, PhD, MPH, assistant professor, epidemiology, Yale School of Public Health, New Haven, Connecticut. But, she added, the evidence is limited because Black individuals and Hispanic Americans are understudied.
When Do Extra Pounds Matter?
When it comes to cancer risk, at what point in life does excess weight, or weight gain, matter? Is the standard weight gain in middle age, for instance, as hazardous as being overweight or obese from a young age?
Some evidence suggests there’s no “safe” time for putting on excess pounds.
A recent meta-analysis concluded that weight gain at any point after age 18 years is associated with incremental increases in the risk for postmenopausal breast cancer. A 2023 study in JAMA Network Open found a similar pattern with colorectal and other gastrointestinal cancers: People who had sustained overweight or obesity from age 20 years through middle age faced an increased risk of developing those cancers after age 55 years.
The timing of weight gain didn’t seem to matter either. The same elevated risk held among people who were normal weight in their younger years but became overweight after age 55 years.
Those studies focused on later-onset disease. But, in recent years, experts have tracked a troubling rise in early-onset cancers — those diagnosed before age 50 years — particularly gastrointestinal cancers.
An obvious question, Dr. Meyerhardt said, is whether the growing prevalence of obesity among young people is partly to blame.
There’s some data to support that, he said. An analysis from the Nurses’ Health Study II found that women with obesity had double the risk for early-onset colorectal cancer as those with a normal BMI. And every 5-kg increase in weight after age 18 years was associated with a 9% increase in colorectal cancer risk.
But while obesity trends probably partly explain the rise in early-onset cancers, there is likely more to the story, Dr. Meyerhardt said.
“I think all of us who see an increasing number of patients under 50 with colorectal cancer know there’s a fair number who do not fit that [high BMI] profile,” he said. “There’s a fair number over 50 who don’t either.”
Does Weight Loss Help?
With all the evidence pointing to high BMI as a cancer risk factor, a logical conclusion is that weight loss should reduce that excess risk. However, Dr. Bea said, there’s actually little data to support that, and what exists comes from observational studies.
Some research has focused on people who had substantial weight loss after bariatric surgery, with encouraging results. A study published in JAMA found that among 5053 people who underwent bariatric surgery, 2.9% developed an obesity-related cancer over 10 years compared with 4.9% in the nonsurgery group.
Most people, however, aim for less dramatic weight loss, with the help of diet and exercise or sometimes medication. Some evidence shows that a modest degree of weight loss may lower the risks for postmenopausal breast and endometrial cancers.
A 2020 pooled analysis found, for instance, that among women aged ≥ 50 years, those who lost as little as 2.0-4.5 kg, or 4.4-10.0 pounds, and kept it off for 10 years had a lower risk for breast cancer than women whose weight remained stable. And losing more weight — 9 kg, or about 20 pounds, or more — was even better for lowering cancer risk.
But other research suggests the opposite. A recent analysis found that people who lost weight within the past 2 years through diet and exercise had a higher risk for a range of cancers compared with those who did not lose weight. Overall, though, the increased risk was quite low.
Whatever the research does, or doesn’t, show about weight and cancer risk, Dr. Basen-Engquist said, it’s important that risk factors, obesity and otherwise, aren’t “used as blame tools.”
“With obesity, behavior certainly plays into it,” she said. “But there are so many influences on our behavior that are socially determined.”
Both Dr. Basen-Engquist and Dr. Meyerhardt said it’s important for clinicians to consider the individual in front of them and for everyone to set realistic expectations.
People with obesity should not feel they have to become thin to be healthier, and no one has to leap from being sedentary to exercising several hours a week.
“We don’t want patients to feel that if they don’t get to a stated goal in a guideline, it’s all for naught,” Dr. Meyerhardt said.
A version of this article appeared on Medscape.com.
Does More Systemic Treatment for Advanced Cancer Improve Survival?
This conclusion of a new study published online May 16 in JAMA Oncology may help reassure oncologists that giving systemic anticancer therapy (SACT) at the most advanced stages of cancer will not improve the patient’s life, the authors wrote. It also may encourage them to instead focus more on honest communication with patients about their choices, Maureen E. Canavan, PhD, at the Cancer and Outcomes, Public Policy and Effectiveness Research (COPPER) Center at the Yale School of Medicine in New Haven, Connecticut, and colleagues, wrote in their paper.
How Was the Study Conducted?
Researchers used Flatiron Health, a nationwide electronic health records database of academic and community practices throughout the United State. They identified 78,446 adults with advanced or metastatic stages of one of six common cancers (breast, colorectal, urothelial, non–small cell lung cancer [NSCLC], pancreatic and renal cell carcinoma) who were treated at healthcare practices from 2015 to 2019. They then stratified practices into quintiles based on how often the practices treated patients with any systemic therapy, including chemotherapy and immunotherapy, in their last 14 days of life. They compared whether patients in practices with greater use of systemic treatment at very advanced stages had longer overall survival.
What Were the Main Findings?
“We saw that there were absolutely no survival differences between the practices that used more systemic therapy for very advanced cancer than the practices that use less,” said senior author Kerin Adelson, MD, chief quality and value officer at MD Anderson Cancer Center in Houston, Texas. In some cancers, those in the lowest quintile (those with the lowest rates of systemic end-of-life care) lived fewer years compared with those in the highest quintiles. In other cancers, those in the lowest quintiles lived more years than those in the highest quintiles.
“What’s important is that none of those differences, after you control for other factors, was statistically significant,” Dr. Adelson said. “That was the same in every cancer type we looked at.”
An example is seen in advanced urothelial cancer. Those in the first quintile (lowest rates of systemic care at end of life) had an SACT rate range of 4.0-9.1. The SACT rate range in the highest quintile was 19.8-42.6. But the median overall survival (OS) rate for those in the lowest quintile was 12.7 months, not statistically different from the median OS in the highest quintile (11 months.)
How Does This Study Add to the Literature?
The American Society of Clinical Oncology (ASCO) and the National Quality Forum (NQF) developed a cancer quality metric to reduce SACT at the end of life. The NQF 0210 is a ratio of patients who get systemic treatment within 14 days of death over all patients who die of cancer. The quality metric has been widely adopted and used in value-based care reporting.
But the metric has been criticized because it focuses only on people who died and not people who lived longer because they benefited from the systemic therapy, the authors wrote.
Dr. Canavan’s team focused on all patients treated in the practice, not just those who died, Dr. Adelson said. This may put that criticism to rest, Dr. Adelson said.
“I personally believed the ASCO and NQF metric was appropriate and the criticisms were off base,” said Otis Brawley, MD, associate director of community outreach and engagement at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine in Baltimore. “Canavan’s study is evidence suggesting the metrics were appropriate.”
This study included not just chemotherapy, as some other studies have, but targeted therapies and immunotherapies as well. Dr. Adelson said some think that the newer drugs might change the prognosis at end of life. But this study shows “even those drugs are not helping patients to survive with very advanced cancer,” she said.
Could This Change Practice?
The authors noted that end-of life SACT has been linked with more acute care use, delays in conversations about care goals, late enrollment in hospice, higher costs, and potentially shorter and poorer quality life.
Dr. Adelson said she’s hoping that the knowledge that there’s no survival benefit for use of SACT for patients with advanced solid tumors who are nearing the end of life will lead instead to more conversations about prognosis with patients and transitions to palliative care.
“Palliative care has actually been shown to improve quality of life and, in some studies, even survival,” she said.
“I doubt it will change practice, but it should,” Dr. Brawley said. “The study suggests that doctors and patients have too much hope for chemotherapy as patients’ disease progresses. In the US especially, there is a tendency to believe we have better therapies than we truly do and we have difficulty accepting that the patient is dying. Many patients get third- and fourth-line chemotherapy that is highly likely to increase suffering without realistic hope of prolonging life and especially no hope of prolonging life with good quality.”
Dr. Adelson disclosed ties with AbbVie, Quantum Health, Gilead, ParetoHealth, and Carrum Health. Various coauthors disclosed ties with Roche, AbbVie, Johnson & Johnson, Genentech, the National Comprehensive Cancer Network, and AstraZeneca. The study was funded by Flatiron Health, an independent member of the Roche group. Dr. Brawley reports no relevant financial disclosures.
This conclusion of a new study published online May 16 in JAMA Oncology may help reassure oncologists that giving systemic anticancer therapy (SACT) at the most advanced stages of cancer will not improve the patient’s life, the authors wrote. It also may encourage them to instead focus more on honest communication with patients about their choices, Maureen E. Canavan, PhD, at the Cancer and Outcomes, Public Policy and Effectiveness Research (COPPER) Center at the Yale School of Medicine in New Haven, Connecticut, and colleagues, wrote in their paper.
How Was the Study Conducted?
Researchers used Flatiron Health, a nationwide electronic health records database of academic and community practices throughout the United State. They identified 78,446 adults with advanced or metastatic stages of one of six common cancers (breast, colorectal, urothelial, non–small cell lung cancer [NSCLC], pancreatic and renal cell carcinoma) who were treated at healthcare practices from 2015 to 2019. They then stratified practices into quintiles based on how often the practices treated patients with any systemic therapy, including chemotherapy and immunotherapy, in their last 14 days of life. They compared whether patients in practices with greater use of systemic treatment at very advanced stages had longer overall survival.
What Were the Main Findings?
“We saw that there were absolutely no survival differences between the practices that used more systemic therapy for very advanced cancer than the practices that use less,” said senior author Kerin Adelson, MD, chief quality and value officer at MD Anderson Cancer Center in Houston, Texas. In some cancers, those in the lowest quintile (those with the lowest rates of systemic end-of-life care) lived fewer years compared with those in the highest quintiles. In other cancers, those in the lowest quintiles lived more years than those in the highest quintiles.
“What’s important is that none of those differences, after you control for other factors, was statistically significant,” Dr. Adelson said. “That was the same in every cancer type we looked at.”
An example is seen in advanced urothelial cancer. Those in the first quintile (lowest rates of systemic care at end of life) had an SACT rate range of 4.0-9.1. The SACT rate range in the highest quintile was 19.8-42.6. But the median overall survival (OS) rate for those in the lowest quintile was 12.7 months, not statistically different from the median OS in the highest quintile (11 months.)
How Does This Study Add to the Literature?
The American Society of Clinical Oncology (ASCO) and the National Quality Forum (NQF) developed a cancer quality metric to reduce SACT at the end of life. The NQF 0210 is a ratio of patients who get systemic treatment within 14 days of death over all patients who die of cancer. The quality metric has been widely adopted and used in value-based care reporting.
But the metric has been criticized because it focuses only on people who died and not people who lived longer because they benefited from the systemic therapy, the authors wrote.
Dr. Canavan’s team focused on all patients treated in the practice, not just those who died, Dr. Adelson said. This may put that criticism to rest, Dr. Adelson said.
“I personally believed the ASCO and NQF metric was appropriate and the criticisms were off base,” said Otis Brawley, MD, associate director of community outreach and engagement at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine in Baltimore. “Canavan’s study is evidence suggesting the metrics were appropriate.”
This study included not just chemotherapy, as some other studies have, but targeted therapies and immunotherapies as well. Dr. Adelson said some think that the newer drugs might change the prognosis at end of life. But this study shows “even those drugs are not helping patients to survive with very advanced cancer,” she said.
Could This Change Practice?
The authors noted that end-of life SACT has been linked with more acute care use, delays in conversations about care goals, late enrollment in hospice, higher costs, and potentially shorter and poorer quality life.
Dr. Adelson said she’s hoping that the knowledge that there’s no survival benefit for use of SACT for patients with advanced solid tumors who are nearing the end of life will lead instead to more conversations about prognosis with patients and transitions to palliative care.
“Palliative care has actually been shown to improve quality of life and, in some studies, even survival,” she said.
“I doubt it will change practice, but it should,” Dr. Brawley said. “The study suggests that doctors and patients have too much hope for chemotherapy as patients’ disease progresses. In the US especially, there is a tendency to believe we have better therapies than we truly do and we have difficulty accepting that the patient is dying. Many patients get third- and fourth-line chemotherapy that is highly likely to increase suffering without realistic hope of prolonging life and especially no hope of prolonging life with good quality.”
Dr. Adelson disclosed ties with AbbVie, Quantum Health, Gilead, ParetoHealth, and Carrum Health. Various coauthors disclosed ties with Roche, AbbVie, Johnson & Johnson, Genentech, the National Comprehensive Cancer Network, and AstraZeneca. The study was funded by Flatiron Health, an independent member of the Roche group. Dr. Brawley reports no relevant financial disclosures.
This conclusion of a new study published online May 16 in JAMA Oncology may help reassure oncologists that giving systemic anticancer therapy (SACT) at the most advanced stages of cancer will not improve the patient’s life, the authors wrote. It also may encourage them to instead focus more on honest communication with patients about their choices, Maureen E. Canavan, PhD, at the Cancer and Outcomes, Public Policy and Effectiveness Research (COPPER) Center at the Yale School of Medicine in New Haven, Connecticut, and colleagues, wrote in their paper.
How Was the Study Conducted?
Researchers used Flatiron Health, a nationwide electronic health records database of academic and community practices throughout the United State. They identified 78,446 adults with advanced or metastatic stages of one of six common cancers (breast, colorectal, urothelial, non–small cell lung cancer [NSCLC], pancreatic and renal cell carcinoma) who were treated at healthcare practices from 2015 to 2019. They then stratified practices into quintiles based on how often the practices treated patients with any systemic therapy, including chemotherapy and immunotherapy, in their last 14 days of life. They compared whether patients in practices with greater use of systemic treatment at very advanced stages had longer overall survival.
What Were the Main Findings?
“We saw that there were absolutely no survival differences between the practices that used more systemic therapy for very advanced cancer than the practices that use less,” said senior author Kerin Adelson, MD, chief quality and value officer at MD Anderson Cancer Center in Houston, Texas. In some cancers, those in the lowest quintile (those with the lowest rates of systemic end-of-life care) lived fewer years compared with those in the highest quintiles. In other cancers, those in the lowest quintiles lived more years than those in the highest quintiles.
“What’s important is that none of those differences, after you control for other factors, was statistically significant,” Dr. Adelson said. “That was the same in every cancer type we looked at.”
An example is seen in advanced urothelial cancer. Those in the first quintile (lowest rates of systemic care at end of life) had an SACT rate range of 4.0-9.1. The SACT rate range in the highest quintile was 19.8-42.6. But the median overall survival (OS) rate for those in the lowest quintile was 12.7 months, not statistically different from the median OS in the highest quintile (11 months.)
How Does This Study Add to the Literature?
The American Society of Clinical Oncology (ASCO) and the National Quality Forum (NQF) developed a cancer quality metric to reduce SACT at the end of life. The NQF 0210 is a ratio of patients who get systemic treatment within 14 days of death over all patients who die of cancer. The quality metric has been widely adopted and used in value-based care reporting.
But the metric has been criticized because it focuses only on people who died and not people who lived longer because they benefited from the systemic therapy, the authors wrote.
Dr. Canavan’s team focused on all patients treated in the practice, not just those who died, Dr. Adelson said. This may put that criticism to rest, Dr. Adelson said.
“I personally believed the ASCO and NQF metric was appropriate and the criticisms were off base,” said Otis Brawley, MD, associate director of community outreach and engagement at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine in Baltimore. “Canavan’s study is evidence suggesting the metrics were appropriate.”
This study included not just chemotherapy, as some other studies have, but targeted therapies and immunotherapies as well. Dr. Adelson said some think that the newer drugs might change the prognosis at end of life. But this study shows “even those drugs are not helping patients to survive with very advanced cancer,” she said.
Could This Change Practice?
The authors noted that end-of life SACT has been linked with more acute care use, delays in conversations about care goals, late enrollment in hospice, higher costs, and potentially shorter and poorer quality life.
Dr. Adelson said she’s hoping that the knowledge that there’s no survival benefit for use of SACT for patients with advanced solid tumors who are nearing the end of life will lead instead to more conversations about prognosis with patients and transitions to palliative care.
“Palliative care has actually been shown to improve quality of life and, in some studies, even survival,” she said.
“I doubt it will change practice, but it should,” Dr. Brawley said. “The study suggests that doctors and patients have too much hope for chemotherapy as patients’ disease progresses. In the US especially, there is a tendency to believe we have better therapies than we truly do and we have difficulty accepting that the patient is dying. Many patients get third- and fourth-line chemotherapy that is highly likely to increase suffering without realistic hope of prolonging life and especially no hope of prolonging life with good quality.”
Dr. Adelson disclosed ties with AbbVie, Quantum Health, Gilead, ParetoHealth, and Carrum Health. Various coauthors disclosed ties with Roche, AbbVie, Johnson & Johnson, Genentech, the National Comprehensive Cancer Network, and AstraZeneca. The study was funded by Flatiron Health, an independent member of the Roche group. Dr. Brawley reports no relevant financial disclosures.
FROM JAMA ONCOLOGY
Urine Tests Could Be ‘Enormous Step’ in Diagnosing Cancer
Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.
“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.
Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.
But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.
Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.
“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”
Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.
Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.
“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.
How Urine Testing Could Reveal Cancer
Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.
“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.
But there are a few promising examples under investigation in humans:
Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.
The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.
It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.
In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”
A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.
Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.
“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .
A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”
The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.
This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”
Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.
Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.
This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.
According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.
Limitations and Promises
Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.
One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.
“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”
One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
A version of this article appeared on Medscape.com.
Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.
“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.
Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.
But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.
Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.
“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”
Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.
Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.
“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.
How Urine Testing Could Reveal Cancer
Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.
“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.
But there are a few promising examples under investigation in humans:
Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.
The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.
It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.
In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”
A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.
Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.
“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .
A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”
The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.
This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”
Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.
Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.
This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.
According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.
Limitations and Promises
Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.
One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.
“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”
One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
A version of this article appeared on Medscape.com.
Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.
“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.
Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.
But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.
Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.
“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”
Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.
Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.
“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.
How Urine Testing Could Reveal Cancer
Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.
“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.
But there are a few promising examples under investigation in humans:
Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.
The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.
It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.
In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”
A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.
Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.
“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .
A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”
The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.
This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”
Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.
Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.
This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.
According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.
Limitations and Promises
Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.
One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.
“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”
One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
A version of this article appeared on Medscape.com.
How Physician Mortgage Loans Work for Doctors With Debt
Tell someone you’re a doctor, and the reaction is often: “You must be rich.” But physicians who are just finishing medical school or are in their early careers might feel far from it. The average medical school debt is more than $200,000, with total debts including undergrad climbing well north of $250,000.
That leaves house-hunting physicians in a predicament. A key factor for lending institutions is the “debt to income” ratio, a calculation which indicates if you already have too much debt to pay your mortgage. That single equation could eliminate you from lenders’ mortgage requirements.
But young doctors are also in a unique situation. Yes, they carry above-average levels of debt, but they are on a path to substantial income in future years. That’s where the physician mortgage loan (PML) becomes a useful option.
What Is a Physician Mortgage Loan?
, according to Stephen Chang, MD, a radiologist, and a managing director at Acts Financial Advisors in McLean, Virginia.
The key features, according to James M. Dahle, MD, an emergency physician and founder of The White Coat Investor, include:
- No required down payment, which is typically 20% with a conventional loan.
- No private mortgage insurance (PMI). This is often a requirement of traditional loans, designed to protect the lender if the buyer misses payments. PMLs don’t involve PMI even if you don’t put down 20%.
- No pay stubs. With a conventional loan, pay stubs are often required to prove income level and reliability. PMLs will often allow an employment contract in place of those.
- Different consideration of the student loan burden.
Those are the upsides, of course, but there may be downsides. Dr. Dahle said a PML might involve slightly higher rates and fees than a conventional mortgage does but not always.
Who Is Best Suited for a Physician Mortgage Loan?
Financial advisers caution that everyone should first consider their full financial picture before applying for a mortgage, PML or otherwise. “If you don’t have the money saved for a down payment, one can ask if you are financially prepared to purchase a home,” says Cobin Soelberg, MD, an anesthesiologist and owner of Greeley Wealth Management, a financial planning firm serving physician families in Bend, Oregon.
If your savings are slim, you might need to build those accounts further before pursuing home ownership and the expenses that come along with it.
Your credit score can contribute to the equation. “With any loan product, we always recommend working to optimize your personal credit score as soon as possible before applying for a loan,” said Mark P. Eid, MD, a dermatologist and co–managing director (with Dr. Chang) at Act Financial Advisors. “Once you get into the high 700s, you’ve typically qualified for the best interest rates, so while that perfect 850 is nice to achieve, it’s by no means necessary.”
Also, assess your reasons for purchasing a home and whether it will fit your lifestyle in the coming years. “The main reason that [my wife and I] wanted to buy a home was for stability,” said Jordan Frey, MD, founder of The Prudent Plastic Surgeon. “After living in apartments for years, we wanted a place that was truly our own. We definitely felt disappointed and frustrated when worrying that our student debt may limit our ability to do this.”
Like many physicians, Dr. Frey had taken on a huge amount of debt, to the tune of half a million dollars in student loans and credit card debt when he finished training in 2020. The question Dr. Frey and his wife wrestled with was: “How much debt should we take on in addition to what we already have?”
What Are the Risks? What’s in the Fine Print?
The eased limitations of PMLs come with potential pitfalls, and physicians should not imagine that they have unlimited buying power.
“Many physicians buy more expensive or bigger houses than they need simply because banks are willing to lend physicians money,” Dr. Soelberg warns. “So, the doctor gets locked into a large mortgage and cannot build wealth, save for retirement, and repay their student loans.”
As you shop around, beware of omissions and scams. When meeting with lenders, Dr. Frey recalled that some didn’t even present PMLs as an option, and others presented them with unfavorable terms. He was careful to look for disadvantages hidden in the fine print, such as a potential “big hike in the rate a year later.”
But sometimes, a scam is not outright deception but is more like temptation. So it’s important to have your own best interests in mind without relying on lenders’ advice.
“When we were shopping around, some mortgage lenders would [offer] $1.5 million, and we thought ‘that makes no sense,’ ” said Dr. Frey. “[Physicians] have big future income, which makes us attractive to these lenders. No one in their right mind would give a mortgage like this to anyone else. They aren’t worried about whether it’s a smart decision for you or not.”
What Other Red Flags Should You Look Out for?
Dr. Frey recommends medical professionals beware of these red flags when shopping for PMLs:
- A request for any type of collateral, including your medical practice
- A rate that is much higher than others
- A lender is pushing you to borrow a higher amount than you’re comfortable with
- A lender attempts to influence your decision about the size of your down payment
Remember, if you are choosing an adjustable-rate mortgage (ARM), your rate will recalibrate on the basis of the market’s rates — for better or worse. This means that your payment might be higher or lower, taking current interest rates into account, based on the market.
Looking back, Dr. Frey said he might reconsider his decision to use a 10-year ARM. He and his wife chose it because the rate was low at the time, and they planned to pay off the mortgage quickly or move before it went up. But the uncertainty added an element of pressure.
How Can PMLs Contribute to Overall Financial Health?
Dr. Frey says his physician mortgage was “a huge advantage,” allowing him and his wife to put 0% down on their home without PMI. But most importantly, it fit within their overall financial plan, which included investing. “The money that we would have potentially used for a down payment, we used to buy a rental property, which then got us more income,” he says.
Of course, buying a rental property is not the only path to financial health and freedom. Many people approach a home as an investment that will eventually become fully their own. Others might put that down payment toward building a safety net of savings accounts.
Used strategically and intentionally, PMLs can put you on a more predictable financial path. And with less money stress, buying a home can be an exciting milestone as you plan your future and put down roots in a community.
A version of this article appeared on Medscape.com.
Tell someone you’re a doctor, and the reaction is often: “You must be rich.” But physicians who are just finishing medical school or are in their early careers might feel far from it. The average medical school debt is more than $200,000, with total debts including undergrad climbing well north of $250,000.
That leaves house-hunting physicians in a predicament. A key factor for lending institutions is the “debt to income” ratio, a calculation which indicates if you already have too much debt to pay your mortgage. That single equation could eliminate you from lenders’ mortgage requirements.
But young doctors are also in a unique situation. Yes, they carry above-average levels of debt, but they are on a path to substantial income in future years. That’s where the physician mortgage loan (PML) becomes a useful option.
What Is a Physician Mortgage Loan?
, according to Stephen Chang, MD, a radiologist, and a managing director at Acts Financial Advisors in McLean, Virginia.
The key features, according to James M. Dahle, MD, an emergency physician and founder of The White Coat Investor, include:
- No required down payment, which is typically 20% with a conventional loan.
- No private mortgage insurance (PMI). This is often a requirement of traditional loans, designed to protect the lender if the buyer misses payments. PMLs don’t involve PMI even if you don’t put down 20%.
- No pay stubs. With a conventional loan, pay stubs are often required to prove income level and reliability. PMLs will often allow an employment contract in place of those.
- Different consideration of the student loan burden.
Those are the upsides, of course, but there may be downsides. Dr. Dahle said a PML might involve slightly higher rates and fees than a conventional mortgage does but not always.
Who Is Best Suited for a Physician Mortgage Loan?
Financial advisers caution that everyone should first consider their full financial picture before applying for a mortgage, PML or otherwise. “If you don’t have the money saved for a down payment, one can ask if you are financially prepared to purchase a home,” says Cobin Soelberg, MD, an anesthesiologist and owner of Greeley Wealth Management, a financial planning firm serving physician families in Bend, Oregon.
If your savings are slim, you might need to build those accounts further before pursuing home ownership and the expenses that come along with it.
Your credit score can contribute to the equation. “With any loan product, we always recommend working to optimize your personal credit score as soon as possible before applying for a loan,” said Mark P. Eid, MD, a dermatologist and co–managing director (with Dr. Chang) at Act Financial Advisors. “Once you get into the high 700s, you’ve typically qualified for the best interest rates, so while that perfect 850 is nice to achieve, it’s by no means necessary.”
Also, assess your reasons for purchasing a home and whether it will fit your lifestyle in the coming years. “The main reason that [my wife and I] wanted to buy a home was for stability,” said Jordan Frey, MD, founder of The Prudent Plastic Surgeon. “After living in apartments for years, we wanted a place that was truly our own. We definitely felt disappointed and frustrated when worrying that our student debt may limit our ability to do this.”
Like many physicians, Dr. Frey had taken on a huge amount of debt, to the tune of half a million dollars in student loans and credit card debt when he finished training in 2020. The question Dr. Frey and his wife wrestled with was: “How much debt should we take on in addition to what we already have?”
What Are the Risks? What’s in the Fine Print?
The eased limitations of PMLs come with potential pitfalls, and physicians should not imagine that they have unlimited buying power.
“Many physicians buy more expensive or bigger houses than they need simply because banks are willing to lend physicians money,” Dr. Soelberg warns. “So, the doctor gets locked into a large mortgage and cannot build wealth, save for retirement, and repay their student loans.”
As you shop around, beware of omissions and scams. When meeting with lenders, Dr. Frey recalled that some didn’t even present PMLs as an option, and others presented them with unfavorable terms. He was careful to look for disadvantages hidden in the fine print, such as a potential “big hike in the rate a year later.”
But sometimes, a scam is not outright deception but is more like temptation. So it’s important to have your own best interests in mind without relying on lenders’ advice.
“When we were shopping around, some mortgage lenders would [offer] $1.5 million, and we thought ‘that makes no sense,’ ” said Dr. Frey. “[Physicians] have big future income, which makes us attractive to these lenders. No one in their right mind would give a mortgage like this to anyone else. They aren’t worried about whether it’s a smart decision for you or not.”
What Other Red Flags Should You Look Out for?
Dr. Frey recommends medical professionals beware of these red flags when shopping for PMLs:
- A request for any type of collateral, including your medical practice
- A rate that is much higher than others
- A lender is pushing you to borrow a higher amount than you’re comfortable with
- A lender attempts to influence your decision about the size of your down payment
Remember, if you are choosing an adjustable-rate mortgage (ARM), your rate will recalibrate on the basis of the market’s rates — for better or worse. This means that your payment might be higher or lower, taking current interest rates into account, based on the market.
Looking back, Dr. Frey said he might reconsider his decision to use a 10-year ARM. He and his wife chose it because the rate was low at the time, and they planned to pay off the mortgage quickly or move before it went up. But the uncertainty added an element of pressure.
How Can PMLs Contribute to Overall Financial Health?
Dr. Frey says his physician mortgage was “a huge advantage,” allowing him and his wife to put 0% down on their home without PMI. But most importantly, it fit within their overall financial plan, which included investing. “The money that we would have potentially used for a down payment, we used to buy a rental property, which then got us more income,” he says.
Of course, buying a rental property is not the only path to financial health and freedom. Many people approach a home as an investment that will eventually become fully their own. Others might put that down payment toward building a safety net of savings accounts.
Used strategically and intentionally, PMLs can put you on a more predictable financial path. And with less money stress, buying a home can be an exciting milestone as you plan your future and put down roots in a community.
A version of this article appeared on Medscape.com.
Tell someone you’re a doctor, and the reaction is often: “You must be rich.” But physicians who are just finishing medical school or are in their early careers might feel far from it. The average medical school debt is more than $200,000, with total debts including undergrad climbing well north of $250,000.
That leaves house-hunting physicians in a predicament. A key factor for lending institutions is the “debt to income” ratio, a calculation which indicates if you already have too much debt to pay your mortgage. That single equation could eliminate you from lenders’ mortgage requirements.
But young doctors are also in a unique situation. Yes, they carry above-average levels of debt, but they are on a path to substantial income in future years. That’s where the physician mortgage loan (PML) becomes a useful option.
What Is a Physician Mortgage Loan?
, according to Stephen Chang, MD, a radiologist, and a managing director at Acts Financial Advisors in McLean, Virginia.
The key features, according to James M. Dahle, MD, an emergency physician and founder of The White Coat Investor, include:
- No required down payment, which is typically 20% with a conventional loan.
- No private mortgage insurance (PMI). This is often a requirement of traditional loans, designed to protect the lender if the buyer misses payments. PMLs don’t involve PMI even if you don’t put down 20%.
- No pay stubs. With a conventional loan, pay stubs are often required to prove income level and reliability. PMLs will often allow an employment contract in place of those.
- Different consideration of the student loan burden.
Those are the upsides, of course, but there may be downsides. Dr. Dahle said a PML might involve slightly higher rates and fees than a conventional mortgage does but not always.
Who Is Best Suited for a Physician Mortgage Loan?
Financial advisers caution that everyone should first consider their full financial picture before applying for a mortgage, PML or otherwise. “If you don’t have the money saved for a down payment, one can ask if you are financially prepared to purchase a home,” says Cobin Soelberg, MD, an anesthesiologist and owner of Greeley Wealth Management, a financial planning firm serving physician families in Bend, Oregon.
If your savings are slim, you might need to build those accounts further before pursuing home ownership and the expenses that come along with it.
Your credit score can contribute to the equation. “With any loan product, we always recommend working to optimize your personal credit score as soon as possible before applying for a loan,” said Mark P. Eid, MD, a dermatologist and co–managing director (with Dr. Chang) at Act Financial Advisors. “Once you get into the high 700s, you’ve typically qualified for the best interest rates, so while that perfect 850 is nice to achieve, it’s by no means necessary.”
Also, assess your reasons for purchasing a home and whether it will fit your lifestyle in the coming years. “The main reason that [my wife and I] wanted to buy a home was for stability,” said Jordan Frey, MD, founder of The Prudent Plastic Surgeon. “After living in apartments for years, we wanted a place that was truly our own. We definitely felt disappointed and frustrated when worrying that our student debt may limit our ability to do this.”
Like many physicians, Dr. Frey had taken on a huge amount of debt, to the tune of half a million dollars in student loans and credit card debt when he finished training in 2020. The question Dr. Frey and his wife wrestled with was: “How much debt should we take on in addition to what we already have?”
What Are the Risks? What’s in the Fine Print?
The eased limitations of PMLs come with potential pitfalls, and physicians should not imagine that they have unlimited buying power.
“Many physicians buy more expensive or bigger houses than they need simply because banks are willing to lend physicians money,” Dr. Soelberg warns. “So, the doctor gets locked into a large mortgage and cannot build wealth, save for retirement, and repay their student loans.”
As you shop around, beware of omissions and scams. When meeting with lenders, Dr. Frey recalled that some didn’t even present PMLs as an option, and others presented them with unfavorable terms. He was careful to look for disadvantages hidden in the fine print, such as a potential “big hike in the rate a year later.”
But sometimes, a scam is not outright deception but is more like temptation. So it’s important to have your own best interests in mind without relying on lenders’ advice.
“When we were shopping around, some mortgage lenders would [offer] $1.5 million, and we thought ‘that makes no sense,’ ” said Dr. Frey. “[Physicians] have big future income, which makes us attractive to these lenders. No one in their right mind would give a mortgage like this to anyone else. They aren’t worried about whether it’s a smart decision for you or not.”
What Other Red Flags Should You Look Out for?
Dr. Frey recommends medical professionals beware of these red flags when shopping for PMLs:
- A request for any type of collateral, including your medical practice
- A rate that is much higher than others
- A lender is pushing you to borrow a higher amount than you’re comfortable with
- A lender attempts to influence your decision about the size of your down payment
Remember, if you are choosing an adjustable-rate mortgage (ARM), your rate will recalibrate on the basis of the market’s rates — for better or worse. This means that your payment might be higher or lower, taking current interest rates into account, based on the market.
Looking back, Dr. Frey said he might reconsider his decision to use a 10-year ARM. He and his wife chose it because the rate was low at the time, and they planned to pay off the mortgage quickly or move before it went up. But the uncertainty added an element of pressure.
How Can PMLs Contribute to Overall Financial Health?
Dr. Frey says his physician mortgage was “a huge advantage,” allowing him and his wife to put 0% down on their home without PMI. But most importantly, it fit within their overall financial plan, which included investing. “The money that we would have potentially used for a down payment, we used to buy a rental property, which then got us more income,” he says.
Of course, buying a rental property is not the only path to financial health and freedom. Many people approach a home as an investment that will eventually become fully their own. Others might put that down payment toward building a safety net of savings accounts.
Used strategically and intentionally, PMLs can put you on a more predictable financial path. And with less money stress, buying a home can be an exciting milestone as you plan your future and put down roots in a community.
A version of this article appeared on Medscape.com.
Crossing State Lines: PA Licensure Compact Coming Soon
For decades, physicians and nurses who ventured across state lines to practice, particularly in locum tenens roles, have reaped the benefits of medical licensure compacts. Yet, the same courtesy has eluded physician assistants (PAs), until now.
In April, Virginia Governor Glenn Youngkin signed the bill enacting the PA Compact making Virginia the seventh state to join. The legislation opens a cross-state agreement with seven states and finally allows locum tenens PAs to practice across these state’s borders.
How the PA Compact Works
The interstate arrangement recognizes valid, unencumbered PA licenses issued by other states in the compact. PAs working within the seven states won’t need a separate license from any of those states to practice.
The states include Delaware, Nebraska, Utah, Washington, West Virginia, Wisconsin, and Virginia. While the compact has been approved, the American Academy of Physician Associates said it could take an additional 18-24 months for the states to execute it, giving PAs the access they need to work in the compact states.
How the PA Compact Helps
The PA Compact holds the promise of alleviating some of the travel barriers that PAs often encounter, especially when they work locum tenens or in telehealth and must traverse state lines to deliver essential healthcare. This agreement not only enhances healthcare access but also empowers facilities to recruit new PAs, thereby bridging gaps in their healthcare staffing and addressing public health emergencies more effectively.
PAs will also gain increased flexibility and additional opportunities to earn and benefit from the right to practice in more states without requiring a time-consuming and expensive licensure from each state.
One motivating factor behind developing an interstate compact for physician assistants is that the same types of compacts for physicians and nurses are highly successful. The Nurse Licensure Compact and the Interstate Medical Licensure Compact for physicians encompass 37 and 41 states, respectively. While the seven-state PA Compact is in its earliest stages, it will likely be equally beneficial for PAs.
A survey by Barton Associates found that 95% of PAs said they would be more likely to consider working in a different state if the PA Compact made it more accessible.
Other states have begun legislation to enact a PA Compact, including Colorado, New Hampshire, Maine, Michigan New York, Ohio, Oklahoma, Rhode Island, Tennessee, and Vermont.
If your state still needs to enact a compact or file for compact legislation, let your elected officials know that the PAs in your state want to join a compact.
A version of this article appeared on Medscape.com .
For decades, physicians and nurses who ventured across state lines to practice, particularly in locum tenens roles, have reaped the benefits of medical licensure compacts. Yet, the same courtesy has eluded physician assistants (PAs), until now.
In April, Virginia Governor Glenn Youngkin signed the bill enacting the PA Compact making Virginia the seventh state to join. The legislation opens a cross-state agreement with seven states and finally allows locum tenens PAs to practice across these state’s borders.
How the PA Compact Works
The interstate arrangement recognizes valid, unencumbered PA licenses issued by other states in the compact. PAs working within the seven states won’t need a separate license from any of those states to practice.
The states include Delaware, Nebraska, Utah, Washington, West Virginia, Wisconsin, and Virginia. While the compact has been approved, the American Academy of Physician Associates said it could take an additional 18-24 months for the states to execute it, giving PAs the access they need to work in the compact states.
How the PA Compact Helps
The PA Compact holds the promise of alleviating some of the travel barriers that PAs often encounter, especially when they work locum tenens or in telehealth and must traverse state lines to deliver essential healthcare. This agreement not only enhances healthcare access but also empowers facilities to recruit new PAs, thereby bridging gaps in their healthcare staffing and addressing public health emergencies more effectively.
PAs will also gain increased flexibility and additional opportunities to earn and benefit from the right to practice in more states without requiring a time-consuming and expensive licensure from each state.
One motivating factor behind developing an interstate compact for physician assistants is that the same types of compacts for physicians and nurses are highly successful. The Nurse Licensure Compact and the Interstate Medical Licensure Compact for physicians encompass 37 and 41 states, respectively. While the seven-state PA Compact is in its earliest stages, it will likely be equally beneficial for PAs.
A survey by Barton Associates found that 95% of PAs said they would be more likely to consider working in a different state if the PA Compact made it more accessible.
Other states have begun legislation to enact a PA Compact, including Colorado, New Hampshire, Maine, Michigan New York, Ohio, Oklahoma, Rhode Island, Tennessee, and Vermont.
If your state still needs to enact a compact or file for compact legislation, let your elected officials know that the PAs in your state want to join a compact.
A version of this article appeared on Medscape.com .
For decades, physicians and nurses who ventured across state lines to practice, particularly in locum tenens roles, have reaped the benefits of medical licensure compacts. Yet, the same courtesy has eluded physician assistants (PAs), until now.
In April, Virginia Governor Glenn Youngkin signed the bill enacting the PA Compact making Virginia the seventh state to join. The legislation opens a cross-state agreement with seven states and finally allows locum tenens PAs to practice across these state’s borders.
How the PA Compact Works
The interstate arrangement recognizes valid, unencumbered PA licenses issued by other states in the compact. PAs working within the seven states won’t need a separate license from any of those states to practice.
The states include Delaware, Nebraska, Utah, Washington, West Virginia, Wisconsin, and Virginia. While the compact has been approved, the American Academy of Physician Associates said it could take an additional 18-24 months for the states to execute it, giving PAs the access they need to work in the compact states.
How the PA Compact Helps
The PA Compact holds the promise of alleviating some of the travel barriers that PAs often encounter, especially when they work locum tenens or in telehealth and must traverse state lines to deliver essential healthcare. This agreement not only enhances healthcare access but also empowers facilities to recruit new PAs, thereby bridging gaps in their healthcare staffing and addressing public health emergencies more effectively.
PAs will also gain increased flexibility and additional opportunities to earn and benefit from the right to practice in more states without requiring a time-consuming and expensive licensure from each state.
One motivating factor behind developing an interstate compact for physician assistants is that the same types of compacts for physicians and nurses are highly successful. The Nurse Licensure Compact and the Interstate Medical Licensure Compact for physicians encompass 37 and 41 states, respectively. While the seven-state PA Compact is in its earliest stages, it will likely be equally beneficial for PAs.
A survey by Barton Associates found that 95% of PAs said they would be more likely to consider working in a different state if the PA Compact made it more accessible.
Other states have begun legislation to enact a PA Compact, including Colorado, New Hampshire, Maine, Michigan New York, Ohio, Oklahoma, Rhode Island, Tennessee, and Vermont.
If your state still needs to enact a compact or file for compact legislation, let your elected officials know that the PAs in your state want to join a compact.
A version of this article appeared on Medscape.com .
Follow-Up Outcomes Data Often Missing for FDA Drug Approvals Based on Surrogate Markers
Over the past few decades, the US Food and Drug Administration (FDA) has increasingly relied on surrogate measures such as blood tests instead of clinical outcomes for medication approvals. But critics say the agency lacks consistent standards to ensure the surrogate aligns with clinical outcomes that matter to patients — things like improvements in symptoms and gains in function.
Sometimes those decisions backfire. Consider: In July 2021, the FDA approved aducanumab for the treatment of Alzheimer’s disease, bucking the advice of an advisory panel for the agency that questioned the effectiveness of the medication. Regulators relied on data from the drugmaker, Biogen, showing the monoclonal antibody could reduce levels of amyloid beta plaques in blood — a surrogate marker officials hoped would translate to clinical benefit.
The FDA’s decision triggered significant controversy, and Biogen in January announced it is pulling it from the market this year, citing disappointing sales.
Although the case of aducanumab might seem extreme, given the stakes — Alzheimer’s remains a disease without an effective treatment — it’s far from unusual.
“When we prescribe a drug, there is an underlying assumption that the FDA has done its due diligence to confirm the drug is safe and of benefit,” said Reshma Ramachandran, MD, MPP, MHS, a researcher at Yale School of Medicine, New Haven, Connecticut, and a coauthor of a recent review of surrogate outcomes. “In fact, we found either no evidence or low-quality evidence.” Such markers are associated with clinical outcomes. “We just don’t know if they work meaningfully to treat the patient’s condition. The results were pretty shocking for us,” she said.
The FDA in 2018 released an Adult Surrogate Endpoint Table listing markers that can be used as substitutes for clinical outcomes to more quickly test, review, and approve new therapies. The analysis found the majority of these endpoints lacked subsequent confirmations, defined as published meta-analyses of clinical studies to validate the association between the marker and a clinical outcome important to patients.
In a paper published in JAMA, Dr. Ramachandran and her colleagues looked at 37 surrogate endpoints for nearly 3 dozen nononcologic diseases in the table.
Approval with surrogate markers implies responsibility for postapproval or validation studies — not just lab measures or imaging findings but mortality, morbidity, or improved quality of life, said Joshua D. Wallach, PhD, MS, assistant professor in the department of epidemiology at the Emory Rollins School of Public Health in Atlanta and lead author of the JAMA review.
Dr. Wallach said surrogate markers are easier to measure and do not require large and long trials. But the FDA has not provided clear rules for what makes a surrogate marker valid in clinical trials.
“They’ve said that at a minimum, it requires meta-analytical evidence from studies that have looked at the correlation or the association between the surrogate and the clinical outcome,” Dr. Wallach said. “Our understanding was that if that’s a minimum expectation, we should be able to find those studies in the literature. And the reality is that we were unable to find evidence from those types of studies supporting the association between the surrogate and the clinical outcome.”
Physicians generally do not receive training about the FDA approval process and the difference between biomarkers, surrogate markers, and clinical endpoints, Dr. Ramachandran said. “Our study shows that things are much more uncertain than we thought when it comes to the prescribing of new drugs,” she said.
Surrogate Markers on the Rise
Dr. Wallach’s group looked for published meta-analyses compiling randomized controlled trials reporting surrogate endpoints for more than 3 dozen chronic nononcologic conditions, including type 2 diabetes, Alzheimer’s, kidney disease, HIV, gout, and lupus. They found no meta-analyses at all for 59% of the surrogate markers, while for those that were studied, few reported high-strength evidence of an association with clinical outcomes.
The findings echo previous research. In a 2020 study in JAMA Network Open, researchers tallied primary endpoints for all FDA approvals of new drugs and therapies during three 3-year periods: 1995-1997, 2005-2007, and 2015-2017. The proportion of products whose approvals were based on the use of clinical endpoints decreased from 43.8% in 1995-1997 to 28.4% in 2005-2007 to 23.3% in 2015-2017. The share based on surrogate endpoints rose from 43.3% to roughly 60% over the same interval.
A 2017 study in the Journal of Health Economics found the use of “imperfect” surrogate endpoints helped support the approval of an average of 16 new drugs per year between 2010 and 2014 compared with six per year from 1998 to 2008.
Similar concerns about weak associations between surrogate markers and drugs used to treat cancer have been documented before, including in a 2020 study published in eClinicalMedicine. The researchers found the surrogate endpoints in the FDA table either were not tested or were tested but proven to be weak surrogates.
“And yet the FDA considered these as good enough not only for accelerated approval but also for regular approval,” said Bishal Gyawali, MD, PhD, associate professor in the department of oncology at Queen’s University, Kingston, Ontario, Canada, who led the group.
The use of surrogate endpoints is also increasing in Europe, said Huseyin Naci, MHS, PhD, associate professor of health policy at the London School of Economics and Political Science in England. He cited a cohort study of 298 randomized clinical trials (RCTs) in JAMA Oncology suggesting “contemporary oncology RCTs now largely measure putative surrogate endpoints.” Dr. Wallach called the FDA’s surrogate table “a great first step toward transparency. But a key column is missing from that table, telling us what is the basis for which the FDA allows drug companies to use the recognized surrogate markers. What is the evidence they are considering?”
If the agency allows companies the flexibility to validate surrogate endpoints, postmarketing studies designed to confirm the clinical utility of those endpoints should follow.
“We obviously want physicians to be guided by evidence when they’re selecting treatments, and they need to be able to interpret the clinical benefits of the drug that they’re prescribing,” he said. “This is really about having the research consumer, patients, and physicians, as well as industry, understand why certain markers are considered and not considered.”
Dr. Wallach reported receiving grants from the FDA (through the Yale University — Mayo Clinic Center of Excellence in Regulatory Science and Innovation), National Institute on Alcohol Abuse and Alcoholism (1K01AA028258), and Johnson & Johnson (through the Yale University Open Data Access Project); and consulting fees from Hagens Berman Sobol Shapiro LLP and Dugan Law Firm APLC outside the submitted work. Dr. Ramachandran reported receiving grants from the Stavros Niarchos Foundation and FDA; receiving consulting fees from ReAct Action on Antibiotic Resistance strategy policy program outside the submitted work; and serving in an unpaid capacity as chair of the FDA task force for the nonprofit organization Doctors for America and in an unpaid capacity as board president for Universities Allied for Essential Medicines North America.
A version of this article appeared on Medscape.com.
Over the past few decades, the US Food and Drug Administration (FDA) has increasingly relied on surrogate measures such as blood tests instead of clinical outcomes for medication approvals. But critics say the agency lacks consistent standards to ensure the surrogate aligns with clinical outcomes that matter to patients — things like improvements in symptoms and gains in function.
Sometimes those decisions backfire. Consider: In July 2021, the FDA approved aducanumab for the treatment of Alzheimer’s disease, bucking the advice of an advisory panel for the agency that questioned the effectiveness of the medication. Regulators relied on data from the drugmaker, Biogen, showing the monoclonal antibody could reduce levels of amyloid beta plaques in blood — a surrogate marker officials hoped would translate to clinical benefit.
The FDA’s decision triggered significant controversy, and Biogen in January announced it is pulling it from the market this year, citing disappointing sales.
Although the case of aducanumab might seem extreme, given the stakes — Alzheimer’s remains a disease without an effective treatment — it’s far from unusual.
“When we prescribe a drug, there is an underlying assumption that the FDA has done its due diligence to confirm the drug is safe and of benefit,” said Reshma Ramachandran, MD, MPP, MHS, a researcher at Yale School of Medicine, New Haven, Connecticut, and a coauthor of a recent review of surrogate outcomes. “In fact, we found either no evidence or low-quality evidence.” Such markers are associated with clinical outcomes. “We just don’t know if they work meaningfully to treat the patient’s condition. The results were pretty shocking for us,” she said.
The FDA in 2018 released an Adult Surrogate Endpoint Table listing markers that can be used as substitutes for clinical outcomes to more quickly test, review, and approve new therapies. The analysis found the majority of these endpoints lacked subsequent confirmations, defined as published meta-analyses of clinical studies to validate the association between the marker and a clinical outcome important to patients.
In a paper published in JAMA, Dr. Ramachandran and her colleagues looked at 37 surrogate endpoints for nearly 3 dozen nononcologic diseases in the table.
Approval with surrogate markers implies responsibility for postapproval or validation studies — not just lab measures or imaging findings but mortality, morbidity, or improved quality of life, said Joshua D. Wallach, PhD, MS, assistant professor in the department of epidemiology at the Emory Rollins School of Public Health in Atlanta and lead author of the JAMA review.
Dr. Wallach said surrogate markers are easier to measure and do not require large and long trials. But the FDA has not provided clear rules for what makes a surrogate marker valid in clinical trials.
“They’ve said that at a minimum, it requires meta-analytical evidence from studies that have looked at the correlation or the association between the surrogate and the clinical outcome,” Dr. Wallach said. “Our understanding was that if that’s a minimum expectation, we should be able to find those studies in the literature. And the reality is that we were unable to find evidence from those types of studies supporting the association between the surrogate and the clinical outcome.”
Physicians generally do not receive training about the FDA approval process and the difference between biomarkers, surrogate markers, and clinical endpoints, Dr. Ramachandran said. “Our study shows that things are much more uncertain than we thought when it comes to the prescribing of new drugs,” she said.
Surrogate Markers on the Rise
Dr. Wallach’s group looked for published meta-analyses compiling randomized controlled trials reporting surrogate endpoints for more than 3 dozen chronic nononcologic conditions, including type 2 diabetes, Alzheimer’s, kidney disease, HIV, gout, and lupus. They found no meta-analyses at all for 59% of the surrogate markers, while for those that were studied, few reported high-strength evidence of an association with clinical outcomes.
The findings echo previous research. In a 2020 study in JAMA Network Open, researchers tallied primary endpoints for all FDA approvals of new drugs and therapies during three 3-year periods: 1995-1997, 2005-2007, and 2015-2017. The proportion of products whose approvals were based on the use of clinical endpoints decreased from 43.8% in 1995-1997 to 28.4% in 2005-2007 to 23.3% in 2015-2017. The share based on surrogate endpoints rose from 43.3% to roughly 60% over the same interval.
A 2017 study in the Journal of Health Economics found the use of “imperfect” surrogate endpoints helped support the approval of an average of 16 new drugs per year between 2010 and 2014 compared with six per year from 1998 to 2008.
Similar concerns about weak associations between surrogate markers and drugs used to treat cancer have been documented before, including in a 2020 study published in eClinicalMedicine. The researchers found the surrogate endpoints in the FDA table either were not tested or were tested but proven to be weak surrogates.
“And yet the FDA considered these as good enough not only for accelerated approval but also for regular approval,” said Bishal Gyawali, MD, PhD, associate professor in the department of oncology at Queen’s University, Kingston, Ontario, Canada, who led the group.
The use of surrogate endpoints is also increasing in Europe, said Huseyin Naci, MHS, PhD, associate professor of health policy at the London School of Economics and Political Science in England. He cited a cohort study of 298 randomized clinical trials (RCTs) in JAMA Oncology suggesting “contemporary oncology RCTs now largely measure putative surrogate endpoints.” Dr. Wallach called the FDA’s surrogate table “a great first step toward transparency. But a key column is missing from that table, telling us what is the basis for which the FDA allows drug companies to use the recognized surrogate markers. What is the evidence they are considering?”
If the agency allows companies the flexibility to validate surrogate endpoints, postmarketing studies designed to confirm the clinical utility of those endpoints should follow.
“We obviously want physicians to be guided by evidence when they’re selecting treatments, and they need to be able to interpret the clinical benefits of the drug that they’re prescribing,” he said. “This is really about having the research consumer, patients, and physicians, as well as industry, understand why certain markers are considered and not considered.”
Dr. Wallach reported receiving grants from the FDA (through the Yale University — Mayo Clinic Center of Excellence in Regulatory Science and Innovation), National Institute on Alcohol Abuse and Alcoholism (1K01AA028258), and Johnson & Johnson (through the Yale University Open Data Access Project); and consulting fees from Hagens Berman Sobol Shapiro LLP and Dugan Law Firm APLC outside the submitted work. Dr. Ramachandran reported receiving grants from the Stavros Niarchos Foundation and FDA; receiving consulting fees from ReAct Action on Antibiotic Resistance strategy policy program outside the submitted work; and serving in an unpaid capacity as chair of the FDA task force for the nonprofit organization Doctors for America and in an unpaid capacity as board president for Universities Allied for Essential Medicines North America.
A version of this article appeared on Medscape.com.
Over the past few decades, the US Food and Drug Administration (FDA) has increasingly relied on surrogate measures such as blood tests instead of clinical outcomes for medication approvals. But critics say the agency lacks consistent standards to ensure the surrogate aligns with clinical outcomes that matter to patients — things like improvements in symptoms and gains in function.
Sometimes those decisions backfire. Consider: In July 2021, the FDA approved aducanumab for the treatment of Alzheimer’s disease, bucking the advice of an advisory panel for the agency that questioned the effectiveness of the medication. Regulators relied on data from the drugmaker, Biogen, showing the monoclonal antibody could reduce levels of amyloid beta plaques in blood — a surrogate marker officials hoped would translate to clinical benefit.
The FDA’s decision triggered significant controversy, and Biogen in January announced it is pulling it from the market this year, citing disappointing sales.
Although the case of aducanumab might seem extreme, given the stakes — Alzheimer’s remains a disease without an effective treatment — it’s far from unusual.
“When we prescribe a drug, there is an underlying assumption that the FDA has done its due diligence to confirm the drug is safe and of benefit,” said Reshma Ramachandran, MD, MPP, MHS, a researcher at Yale School of Medicine, New Haven, Connecticut, and a coauthor of a recent review of surrogate outcomes. “In fact, we found either no evidence or low-quality evidence.” Such markers are associated with clinical outcomes. “We just don’t know if they work meaningfully to treat the patient’s condition. The results were pretty shocking for us,” she said.
The FDA in 2018 released an Adult Surrogate Endpoint Table listing markers that can be used as substitutes for clinical outcomes to more quickly test, review, and approve new therapies. The analysis found the majority of these endpoints lacked subsequent confirmations, defined as published meta-analyses of clinical studies to validate the association between the marker and a clinical outcome important to patients.
In a paper published in JAMA, Dr. Ramachandran and her colleagues looked at 37 surrogate endpoints for nearly 3 dozen nononcologic diseases in the table.
Approval with surrogate markers implies responsibility for postapproval or validation studies — not just lab measures or imaging findings but mortality, morbidity, or improved quality of life, said Joshua D. Wallach, PhD, MS, assistant professor in the department of epidemiology at the Emory Rollins School of Public Health in Atlanta and lead author of the JAMA review.
Dr. Wallach said surrogate markers are easier to measure and do not require large and long trials. But the FDA has not provided clear rules for what makes a surrogate marker valid in clinical trials.
“They’ve said that at a minimum, it requires meta-analytical evidence from studies that have looked at the correlation or the association between the surrogate and the clinical outcome,” Dr. Wallach said. “Our understanding was that if that’s a minimum expectation, we should be able to find those studies in the literature. And the reality is that we were unable to find evidence from those types of studies supporting the association between the surrogate and the clinical outcome.”
Physicians generally do not receive training about the FDA approval process and the difference between biomarkers, surrogate markers, and clinical endpoints, Dr. Ramachandran said. “Our study shows that things are much more uncertain than we thought when it comes to the prescribing of new drugs,” she said.
Surrogate Markers on the Rise
Dr. Wallach’s group looked for published meta-analyses compiling randomized controlled trials reporting surrogate endpoints for more than 3 dozen chronic nononcologic conditions, including type 2 diabetes, Alzheimer’s, kidney disease, HIV, gout, and lupus. They found no meta-analyses at all for 59% of the surrogate markers, while for those that were studied, few reported high-strength evidence of an association with clinical outcomes.
The findings echo previous research. In a 2020 study in JAMA Network Open, researchers tallied primary endpoints for all FDA approvals of new drugs and therapies during three 3-year periods: 1995-1997, 2005-2007, and 2015-2017. The proportion of products whose approvals were based on the use of clinical endpoints decreased from 43.8% in 1995-1997 to 28.4% in 2005-2007 to 23.3% in 2015-2017. The share based on surrogate endpoints rose from 43.3% to roughly 60% over the same interval.
A 2017 study in the Journal of Health Economics found the use of “imperfect” surrogate endpoints helped support the approval of an average of 16 new drugs per year between 2010 and 2014 compared with six per year from 1998 to 2008.
Similar concerns about weak associations between surrogate markers and drugs used to treat cancer have been documented before, including in a 2020 study published in eClinicalMedicine. The researchers found the surrogate endpoints in the FDA table either were not tested or were tested but proven to be weak surrogates.
“And yet the FDA considered these as good enough not only for accelerated approval but also for regular approval,” said Bishal Gyawali, MD, PhD, associate professor in the department of oncology at Queen’s University, Kingston, Ontario, Canada, who led the group.
The use of surrogate endpoints is also increasing in Europe, said Huseyin Naci, MHS, PhD, associate professor of health policy at the London School of Economics and Political Science in England. He cited a cohort study of 298 randomized clinical trials (RCTs) in JAMA Oncology suggesting “contemporary oncology RCTs now largely measure putative surrogate endpoints.” Dr. Wallach called the FDA’s surrogate table “a great first step toward transparency. But a key column is missing from that table, telling us what is the basis for which the FDA allows drug companies to use the recognized surrogate markers. What is the evidence they are considering?”
If the agency allows companies the flexibility to validate surrogate endpoints, postmarketing studies designed to confirm the clinical utility of those endpoints should follow.
“We obviously want physicians to be guided by evidence when they’re selecting treatments, and they need to be able to interpret the clinical benefits of the drug that they’re prescribing,” he said. “This is really about having the research consumer, patients, and physicians, as well as industry, understand why certain markers are considered and not considered.”
Dr. Wallach reported receiving grants from the FDA (through the Yale University — Mayo Clinic Center of Excellence in Regulatory Science and Innovation), National Institute on Alcohol Abuse and Alcoholism (1K01AA028258), and Johnson & Johnson (through the Yale University Open Data Access Project); and consulting fees from Hagens Berman Sobol Shapiro LLP and Dugan Law Firm APLC outside the submitted work. Dr. Ramachandran reported receiving grants from the Stavros Niarchos Foundation and FDA; receiving consulting fees from ReAct Action on Antibiotic Resistance strategy policy program outside the submitted work; and serving in an unpaid capacity as chair of the FDA task force for the nonprofit organization Doctors for America and in an unpaid capacity as board president for Universities Allied for Essential Medicines North America.
A version of this article appeared on Medscape.com.
FROM JAMA
Chatbots Seem More Empathetic Than Docs in Cancer Discussions
Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.
One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.
While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.
Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.
Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. : quality, empathy, and readability.
Q&A With Author of New Research
Mr. Chen discussed his new study’s implications during an interview with this news organization.
Question: What is novel about this study?
Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.
Question: Why would chatbot responses seem more empathetic than those of physicians?
Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.
Question: Do chatbots just seem empathetic because they are chattier?
Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.
Question: How were quality and empathy measured by the reviewers?
Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.
Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.
With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.
Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’
Question: Why would physicians, not patients, be the best evaluators of empathy?
Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.
Question: Should cancer patients go ahead and consult chatbots?
Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.
Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.
This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.
This Q&A was edited for clarity.
Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.
One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.
While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.
Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.
Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. : quality, empathy, and readability.
Q&A With Author of New Research
Mr. Chen discussed his new study’s implications during an interview with this news organization.
Question: What is novel about this study?
Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.
Question: Why would chatbot responses seem more empathetic than those of physicians?
Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.
Question: Do chatbots just seem empathetic because they are chattier?
Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.
Question: How were quality and empathy measured by the reviewers?
Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.
Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.
With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.
Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’
Question: Why would physicians, not patients, be the best evaluators of empathy?
Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.
Question: Should cancer patients go ahead and consult chatbots?
Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.
Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.
This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.
This Q&A was edited for clarity.
Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.
One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.
While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.
Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.
Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. : quality, empathy, and readability.
Q&A With Author of New Research
Mr. Chen discussed his new study’s implications during an interview with this news organization.
Question: What is novel about this study?
Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.
Question: Why would chatbot responses seem more empathetic than those of physicians?
Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.
Question: Do chatbots just seem empathetic because they are chattier?
Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.
Question: How were quality and empathy measured by the reviewers?
Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.
Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.
With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.
Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’
Question: Why would physicians, not patients, be the best evaluators of empathy?
Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.
Question: Should cancer patients go ahead and consult chatbots?
Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.
Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.
This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.
This Q&A was edited for clarity.
FROM JAMA ONCOLOGY
FDA Broadens Breyanzi’s Follicular Lymphoma Indication
The approval broadens the use of the CAR T-cell therapy for follicular lymphoma. Previous approval was limited to relapsed/refractory grade 3B disease. Lisocabtagene maraleucel also carries relapsed/refractory B-cell lymphoma and lymphocytic leukemia indications.
The new approval was based on the phase 2 single-arm TRANSCEND FL trial in 94 patients with relapsed/refractory follicular lymphoma after two or more lines of systemic therapy, including an anti-CD20 antibody and an alkylating agent.
Adequate bone marrow function and a performance score of 0-1 were required.
Patients received a single dose 2-7 days after completing lymphodepleting chemotherapy.
The overall response rate was 95.7%. The median duration of response was not reached after a median follow-up of 16.8 months.
The most common nonlaboratory adverse events, occurring in at least 20% of patients, were cytokine release syndrome, headache, musculoskeletal pain, fatigue, constipation, and fever.
Lisocabtagene maraleucel is available only through a Risk Evaluation and Mitigation Strategy program due to the risk for fatal cytokine release syndrome and neurologic toxicities.
A single treatment is almost a half million dollars, according to drugs.com.
A version of this article appeared on Medscape.com.
The approval broadens the use of the CAR T-cell therapy for follicular lymphoma. Previous approval was limited to relapsed/refractory grade 3B disease. Lisocabtagene maraleucel also carries relapsed/refractory B-cell lymphoma and lymphocytic leukemia indications.
The new approval was based on the phase 2 single-arm TRANSCEND FL trial in 94 patients with relapsed/refractory follicular lymphoma after two or more lines of systemic therapy, including an anti-CD20 antibody and an alkylating agent.
Adequate bone marrow function and a performance score of 0-1 were required.
Patients received a single dose 2-7 days after completing lymphodepleting chemotherapy.
The overall response rate was 95.7%. The median duration of response was not reached after a median follow-up of 16.8 months.
The most common nonlaboratory adverse events, occurring in at least 20% of patients, were cytokine release syndrome, headache, musculoskeletal pain, fatigue, constipation, and fever.
Lisocabtagene maraleucel is available only through a Risk Evaluation and Mitigation Strategy program due to the risk for fatal cytokine release syndrome and neurologic toxicities.
A single treatment is almost a half million dollars, according to drugs.com.
A version of this article appeared on Medscape.com.
The approval broadens the use of the CAR T-cell therapy for follicular lymphoma. Previous approval was limited to relapsed/refractory grade 3B disease. Lisocabtagene maraleucel also carries relapsed/refractory B-cell lymphoma and lymphocytic leukemia indications.
The new approval was based on the phase 2 single-arm TRANSCEND FL trial in 94 patients with relapsed/refractory follicular lymphoma after two or more lines of systemic therapy, including an anti-CD20 antibody and an alkylating agent.
Adequate bone marrow function and a performance score of 0-1 were required.
Patients received a single dose 2-7 days after completing lymphodepleting chemotherapy.
The overall response rate was 95.7%. The median duration of response was not reached after a median follow-up of 16.8 months.
The most common nonlaboratory adverse events, occurring in at least 20% of patients, were cytokine release syndrome, headache, musculoskeletal pain, fatigue, constipation, and fever.
Lisocabtagene maraleucel is available only through a Risk Evaluation and Mitigation Strategy program due to the risk for fatal cytokine release syndrome and neurologic toxicities.
A single treatment is almost a half million dollars, according to drugs.com.
A version of this article appeared on Medscape.com.
Survey Spotlights Identification of Dermatologic Adverse Events From Cancer Therapies
“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.
The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”
To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.
Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).
“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”
Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”
Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”
Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.
“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”
Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
A version of this article first appeared on Medscape.com.
“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.
The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”
To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.
Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).
“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”
Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”
Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”
Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.
“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”
Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
A version of this article first appeared on Medscape.com.
“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.
The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”
To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.
Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).
“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”
Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”
Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”
Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.
“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”
Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
A version of this article first appeared on Medscape.com.
FROM AAD 2024