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Many patients, doctors unaware of advancements in cancer care
This is the main finding from two studies presented at the 2021 European Society for Medical Oncology Congress.
The survey of patients found that most don’t understand how immunotherapy works, and the survey of doctors found that many working outside of the cancer field are using information on survival that is wildly out of date.
When a patient is first told they have cancer, counseling is usually done by a surgeon or general medical doctor and not an oncologist, said Conleth Murphy, MD, of Bon Secours Hospital Cork, Ireland, and coauthor of the second study.
Noncancer doctors often grossly underestimate patients’ chances of survival, Dr. Murphy’s study found. This suggests that doctors who practice outside of cancer care may be working with the same information they learned in medical school, he said.
“These patients must be spared the traumatic effects of being handed a death sentence that no longer reflects the current reality,” Dr. Murphy said.
After receiving a diagnosis of cancer, “patients often immediately have pressing questions about what it means for their future,” he noted. A common question is: “How long do I have left?”
Nononcologists should refrain from answering patients’ questions with numbers, Dr. Murphy said.
Family doctors are likely to be influenced by the experience they have had with specific cancer patients in their practice, said Cyril Bonin, MD, a general practitioner in Usson-du-Poitou, France, who has 900 patients in his practice.
He sees about 10 patients with a new diagnosis of cancer each year. In addition, about 50 of his patients are in active treatment for cancer or have finished treatment and are considered cancer survivors.
“It is not entirely realistic for us to expect practitioners who deal with hundreds of different diseases to keep up with every facet of a rapidly changing oncology landscape,” said Marco Donia, MD, an expert in immunotherapy from the University of Copenhagen.
That landscape has changed dramatically in recent years, particularly since immunotherapy was added to the arsenal. Immunotherapy is a way to fine-tune your immune system to fight cancer.
For example, in the past, patients with metastatic melanoma would have an average survival of about 1 year. But now, some patients who have responded to immunotherapy are still alive 10 years later.
Findings from the patient survey
It is important that patients stay well informed because immunotherapy is a “complex treatment that is too often mistaken for a miracle cure,” said Paris Kosmidis, MD, the co-author of the patient survey.
“The more patients know about it, the better the communication with their medical team and thus the better their outcomes are likely to be,” said Dr. Kosmidis, who is co-founder and chief medical officer of CareAcross, an online service that provides personalized education for cancer patients
The survey was of 5,589 patients with cancer who were recruited from CareAcross clients from the United Kingdom, France, Italy, Spain, and Germany.
The survey asked them about how immunotherapy works, what it costs, and its side effects.
Almost half responded “not sure/do not know,” but about a third correctly answered that immunotherapy “activates the immune system to kill cancer cells.”
Similarly, more than half thought that immunotherapy started working right away, while only 20% correctly answered that it takes several weeks to become effective.
“This is important because patients need to start their therapy with realistic expectations, for example to avoid disappointment when their symptoms take some time to disappear,” Dr. Kosmidis said.
A small group of 24 patients with lung cancer who had been treated with immunotherapy got many correct answers, but they overestimated the intensity of side effects, compared with other therapies.
“Well-informed patients who know what to expect can do 90% of the job of preventing side effects from becoming severe by having them treated early,” said Dr. Donia, of the University of Copenhagen.
Most cancer patients were also unaware of the cost of immunotherapy, which can exceed $100,000 a year, Dr. Kosmidis said.
Results of the doctor survey
The other survey presented at the meeting looked at how much doctors know about survival for 12 of the most common cancers.
Dr. Murphy and colleagues asked 301 noncancer doctors and 46 cancer specialists to estimate the percentage of patients who could be expected to live for 5 years after diagnosis (a measure known as the 5-year survival rate).
Answers from the two groups were compared and graded according to cancer survival statistics from the National Cancer Registry of Ireland.
Both groups of doctors had a hard time estimating the survival of common cancers.
Nononcologists accurately predicted 5-year survival for just two of the cancer types, while the cancer specialists got it right for four cancer types.
However, the noncancer doctors had a more pessimistic outlook on cancer survival generally and severely underestimated the chances of survival in specific cancers, particularly stage IV breast cancer. The survival for this cancer has “evolved considerably over time and now reaches 40% in Ireland,” Dr. Murphy pointed out.
“These results are in line with what we had expected because most physicians’ knowledge of oncology dates back to whatever education they received during their years of training, so their perceptions of cancer prognosis are likely to lag behind the major survival gains achieved in the recent past,” Dr. Murphy said.
A version of this article first appeared on Medscape.com.
This is the main finding from two studies presented at the 2021 European Society for Medical Oncology Congress.
The survey of patients found that most don’t understand how immunotherapy works, and the survey of doctors found that many working outside of the cancer field are using information on survival that is wildly out of date.
When a patient is first told they have cancer, counseling is usually done by a surgeon or general medical doctor and not an oncologist, said Conleth Murphy, MD, of Bon Secours Hospital Cork, Ireland, and coauthor of the second study.
Noncancer doctors often grossly underestimate patients’ chances of survival, Dr. Murphy’s study found. This suggests that doctors who practice outside of cancer care may be working with the same information they learned in medical school, he said.
“These patients must be spared the traumatic effects of being handed a death sentence that no longer reflects the current reality,” Dr. Murphy said.
After receiving a diagnosis of cancer, “patients often immediately have pressing questions about what it means for their future,” he noted. A common question is: “How long do I have left?”
Nononcologists should refrain from answering patients’ questions with numbers, Dr. Murphy said.
Family doctors are likely to be influenced by the experience they have had with specific cancer patients in their practice, said Cyril Bonin, MD, a general practitioner in Usson-du-Poitou, France, who has 900 patients in his practice.
He sees about 10 patients with a new diagnosis of cancer each year. In addition, about 50 of his patients are in active treatment for cancer or have finished treatment and are considered cancer survivors.
“It is not entirely realistic for us to expect practitioners who deal with hundreds of different diseases to keep up with every facet of a rapidly changing oncology landscape,” said Marco Donia, MD, an expert in immunotherapy from the University of Copenhagen.
That landscape has changed dramatically in recent years, particularly since immunotherapy was added to the arsenal. Immunotherapy is a way to fine-tune your immune system to fight cancer.
For example, in the past, patients with metastatic melanoma would have an average survival of about 1 year. But now, some patients who have responded to immunotherapy are still alive 10 years later.
Findings from the patient survey
It is important that patients stay well informed because immunotherapy is a “complex treatment that is too often mistaken for a miracle cure,” said Paris Kosmidis, MD, the co-author of the patient survey.
“The more patients know about it, the better the communication with their medical team and thus the better their outcomes are likely to be,” said Dr. Kosmidis, who is co-founder and chief medical officer of CareAcross, an online service that provides personalized education for cancer patients
The survey was of 5,589 patients with cancer who were recruited from CareAcross clients from the United Kingdom, France, Italy, Spain, and Germany.
The survey asked them about how immunotherapy works, what it costs, and its side effects.
Almost half responded “not sure/do not know,” but about a third correctly answered that immunotherapy “activates the immune system to kill cancer cells.”
Similarly, more than half thought that immunotherapy started working right away, while only 20% correctly answered that it takes several weeks to become effective.
“This is important because patients need to start their therapy with realistic expectations, for example to avoid disappointment when their symptoms take some time to disappear,” Dr. Kosmidis said.
A small group of 24 patients with lung cancer who had been treated with immunotherapy got many correct answers, but they overestimated the intensity of side effects, compared with other therapies.
“Well-informed patients who know what to expect can do 90% of the job of preventing side effects from becoming severe by having them treated early,” said Dr. Donia, of the University of Copenhagen.
Most cancer patients were also unaware of the cost of immunotherapy, which can exceed $100,000 a year, Dr. Kosmidis said.
Results of the doctor survey
The other survey presented at the meeting looked at how much doctors know about survival for 12 of the most common cancers.
Dr. Murphy and colleagues asked 301 noncancer doctors and 46 cancer specialists to estimate the percentage of patients who could be expected to live for 5 years after diagnosis (a measure known as the 5-year survival rate).
Answers from the two groups were compared and graded according to cancer survival statistics from the National Cancer Registry of Ireland.
Both groups of doctors had a hard time estimating the survival of common cancers.
Nononcologists accurately predicted 5-year survival for just two of the cancer types, while the cancer specialists got it right for four cancer types.
However, the noncancer doctors had a more pessimistic outlook on cancer survival generally and severely underestimated the chances of survival in specific cancers, particularly stage IV breast cancer. The survival for this cancer has “evolved considerably over time and now reaches 40% in Ireland,” Dr. Murphy pointed out.
“These results are in line with what we had expected because most physicians’ knowledge of oncology dates back to whatever education they received during their years of training, so their perceptions of cancer prognosis are likely to lag behind the major survival gains achieved in the recent past,” Dr. Murphy said.
A version of this article first appeared on Medscape.com.
This is the main finding from two studies presented at the 2021 European Society for Medical Oncology Congress.
The survey of patients found that most don’t understand how immunotherapy works, and the survey of doctors found that many working outside of the cancer field are using information on survival that is wildly out of date.
When a patient is first told they have cancer, counseling is usually done by a surgeon or general medical doctor and not an oncologist, said Conleth Murphy, MD, of Bon Secours Hospital Cork, Ireland, and coauthor of the second study.
Noncancer doctors often grossly underestimate patients’ chances of survival, Dr. Murphy’s study found. This suggests that doctors who practice outside of cancer care may be working with the same information they learned in medical school, he said.
“These patients must be spared the traumatic effects of being handed a death sentence that no longer reflects the current reality,” Dr. Murphy said.
After receiving a diagnosis of cancer, “patients often immediately have pressing questions about what it means for their future,” he noted. A common question is: “How long do I have left?”
Nononcologists should refrain from answering patients’ questions with numbers, Dr. Murphy said.
Family doctors are likely to be influenced by the experience they have had with specific cancer patients in their practice, said Cyril Bonin, MD, a general practitioner in Usson-du-Poitou, France, who has 900 patients in his practice.
He sees about 10 patients with a new diagnosis of cancer each year. In addition, about 50 of his patients are in active treatment for cancer or have finished treatment and are considered cancer survivors.
“It is not entirely realistic for us to expect practitioners who deal with hundreds of different diseases to keep up with every facet of a rapidly changing oncology landscape,” said Marco Donia, MD, an expert in immunotherapy from the University of Copenhagen.
That landscape has changed dramatically in recent years, particularly since immunotherapy was added to the arsenal. Immunotherapy is a way to fine-tune your immune system to fight cancer.
For example, in the past, patients with metastatic melanoma would have an average survival of about 1 year. But now, some patients who have responded to immunotherapy are still alive 10 years later.
Findings from the patient survey
It is important that patients stay well informed because immunotherapy is a “complex treatment that is too often mistaken for a miracle cure,” said Paris Kosmidis, MD, the co-author of the patient survey.
“The more patients know about it, the better the communication with their medical team and thus the better their outcomes are likely to be,” said Dr. Kosmidis, who is co-founder and chief medical officer of CareAcross, an online service that provides personalized education for cancer patients
The survey was of 5,589 patients with cancer who were recruited from CareAcross clients from the United Kingdom, France, Italy, Spain, and Germany.
The survey asked them about how immunotherapy works, what it costs, and its side effects.
Almost half responded “not sure/do not know,” but about a third correctly answered that immunotherapy “activates the immune system to kill cancer cells.”
Similarly, more than half thought that immunotherapy started working right away, while only 20% correctly answered that it takes several weeks to become effective.
“This is important because patients need to start their therapy with realistic expectations, for example to avoid disappointment when their symptoms take some time to disappear,” Dr. Kosmidis said.
A small group of 24 patients with lung cancer who had been treated with immunotherapy got many correct answers, but they overestimated the intensity of side effects, compared with other therapies.
“Well-informed patients who know what to expect can do 90% of the job of preventing side effects from becoming severe by having them treated early,” said Dr. Donia, of the University of Copenhagen.
Most cancer patients were also unaware of the cost of immunotherapy, which can exceed $100,000 a year, Dr. Kosmidis said.
Results of the doctor survey
The other survey presented at the meeting looked at how much doctors know about survival for 12 of the most common cancers.
Dr. Murphy and colleagues asked 301 noncancer doctors and 46 cancer specialists to estimate the percentage of patients who could be expected to live for 5 years after diagnosis (a measure known as the 5-year survival rate).
Answers from the two groups were compared and graded according to cancer survival statistics from the National Cancer Registry of Ireland.
Both groups of doctors had a hard time estimating the survival of common cancers.
Nononcologists accurately predicted 5-year survival for just two of the cancer types, while the cancer specialists got it right for four cancer types.
However, the noncancer doctors had a more pessimistic outlook on cancer survival generally and severely underestimated the chances of survival in specific cancers, particularly stage IV breast cancer. The survival for this cancer has “evolved considerably over time and now reaches 40% in Ireland,” Dr. Murphy pointed out.
“These results are in line with what we had expected because most physicians’ knowledge of oncology dates back to whatever education they received during their years of training, so their perceptions of cancer prognosis are likely to lag behind the major survival gains achieved in the recent past,” Dr. Murphy said.
A version of this article first appeared on Medscape.com.
Most community-based oncologists skip biomarker testing
A recent survey shows that fewer than half of community oncologists use biomarker testing to guide patient discussions about treatment, which compares with 73% of academic clinicians.
The findings, reported at the 2020 World Conference on Lung Cancer, which was rescheduled for January 2021, highlight the potential for unequal application of the latest advances in cancer genomics and targeted therapies throughout the health care system, which could worsen existing disparities in underserved populations, according to Leigh Boehmer, PharmD, medical director for the Association of Community Cancer Centers, Rockville, Md.
The survey – a mixed-methods approach for assessing practice patterns, attitudes, barriers, and resource needs related to biomarker testing among clinicians – was developed by the ACCC in partnership with the LUNGevity Foundation and administered to clinicians caring for patients with non–small cell lung cancer who are uninsured or covered by Medicaid.
Of 99 respondents, more than 85% were physicians and 68% worked in a community setting. Only 40% indicated they were very familiar or extremely familiar with 2018 Molecular Testing Guidelines for Lung Cancer from the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology.
Clinicians were most confident about selecting appropriate tests to use, interpreting test results, and prognosticating based on test results, with 77%, 74%, and 74%, respectively, saying they are very confident or extremely confident in those areas. They were less confident about determining when to order testing and in coordinating care across the multidisciplinary team, with 59% and 64%, respectively, saying they were very confident or extremely confident in those areas, Dr. Boehmer reported at the conference.
The shortcomings with respect to communication across teams were echoed in two focus groups convened to further validate the survey results, he noted.
As for the reasons why clinicians ordered biomarker testing, 88% and 82% of community and academic clinicians, respectively, said they did so to help make targeted treatment decisions.
“Only 48% of community clinicians indicated that they use biomarker testing to guide patient discussions, compared to 73% of academic clinicians,” he said. “That finding was considered statistically significant.”
With respect to decision-making about biomarker testing, 41% said they prefer to share the responsibility with patients, whereas 52% said they prefer to make the final decision.
“Shedding further light on this situation, focus group participants expressed that patients lacked comprehension and interest about what testing entails and what testing means for their treatment options,” Dr. Boehmer noted.
In order to make more informed decisions about biomarker testing, respondents said they need more information on financial resources for patient assistance (26%) and education around both published guidelines and practical implications of the clinical data (21%).
When asked about patients’ information needs, 23% said their patients need psychosocial support, 22% said they need financial assistance, and 9% said their patients have no additional resource needs.
However, only 27% said they provide patients with resources related to psychosocial support services, and only 44% share financial assistance information, he said.
Further, the fact that 9% said their patients need no additional resources represents “a disconnect” from the findings of the survey and focus groups, he added.
“We believe that this study identifies key areas of ongoing clinician need related to biomarker testing, including things like increased guideline familiarity, practical applications of guideline-concordant testing, and … how to optimally coordinate multidisciplinary care delivery,” Dr. Boehmer said. “Professional organizations … in partnership with patient advocacy organizations or groups should focus on developing those patient education materials … and tools for improving patient-clinician discussions about biomarker testing.”
The ACCC will be working with the LUNGevity Foundation and the Center for Business Models in Healthcare to develop an intervention to ensure that such discussions are “easily integrated into the care process for every patient,” he noted.
Such efforts are important for ensuring that clinicians are informed about the value of biomarker testing and about guidelines for testing so that patients receive the best possible care, said invited discussant Joshua Sabari, MD, of New York University Langone Health’s Perlmutter Cancer Center.
“I know that, in clinic, when meeting a new patient with non–small cell lung cancer, it’s critical to understand the driver alteration, not only for prognosis, but also for goals-of-care discussion, as well as potential treatment option,” Dr. Sabari said.
Dr. Boehmer reported consulting for Pfizer. Dr. Sabari reported consulting and advisory board membership for multiple pharmaceutical companies.
A recent survey shows that fewer than half of community oncologists use biomarker testing to guide patient discussions about treatment, which compares with 73% of academic clinicians.
The findings, reported at the 2020 World Conference on Lung Cancer, which was rescheduled for January 2021, highlight the potential for unequal application of the latest advances in cancer genomics and targeted therapies throughout the health care system, which could worsen existing disparities in underserved populations, according to Leigh Boehmer, PharmD, medical director for the Association of Community Cancer Centers, Rockville, Md.
The survey – a mixed-methods approach for assessing practice patterns, attitudes, barriers, and resource needs related to biomarker testing among clinicians – was developed by the ACCC in partnership with the LUNGevity Foundation and administered to clinicians caring for patients with non–small cell lung cancer who are uninsured or covered by Medicaid.
Of 99 respondents, more than 85% were physicians and 68% worked in a community setting. Only 40% indicated they were very familiar or extremely familiar with 2018 Molecular Testing Guidelines for Lung Cancer from the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology.
Clinicians were most confident about selecting appropriate tests to use, interpreting test results, and prognosticating based on test results, with 77%, 74%, and 74%, respectively, saying they are very confident or extremely confident in those areas. They were less confident about determining when to order testing and in coordinating care across the multidisciplinary team, with 59% and 64%, respectively, saying they were very confident or extremely confident in those areas, Dr. Boehmer reported at the conference.
The shortcomings with respect to communication across teams were echoed in two focus groups convened to further validate the survey results, he noted.
As for the reasons why clinicians ordered biomarker testing, 88% and 82% of community and academic clinicians, respectively, said they did so to help make targeted treatment decisions.
“Only 48% of community clinicians indicated that they use biomarker testing to guide patient discussions, compared to 73% of academic clinicians,” he said. “That finding was considered statistically significant.”
With respect to decision-making about biomarker testing, 41% said they prefer to share the responsibility with patients, whereas 52% said they prefer to make the final decision.
“Shedding further light on this situation, focus group participants expressed that patients lacked comprehension and interest about what testing entails and what testing means for their treatment options,” Dr. Boehmer noted.
In order to make more informed decisions about biomarker testing, respondents said they need more information on financial resources for patient assistance (26%) and education around both published guidelines and practical implications of the clinical data (21%).
When asked about patients’ information needs, 23% said their patients need psychosocial support, 22% said they need financial assistance, and 9% said their patients have no additional resource needs.
However, only 27% said they provide patients with resources related to psychosocial support services, and only 44% share financial assistance information, he said.
Further, the fact that 9% said their patients need no additional resources represents “a disconnect” from the findings of the survey and focus groups, he added.
“We believe that this study identifies key areas of ongoing clinician need related to biomarker testing, including things like increased guideline familiarity, practical applications of guideline-concordant testing, and … how to optimally coordinate multidisciplinary care delivery,” Dr. Boehmer said. “Professional organizations … in partnership with patient advocacy organizations or groups should focus on developing those patient education materials … and tools for improving patient-clinician discussions about biomarker testing.”
The ACCC will be working with the LUNGevity Foundation and the Center for Business Models in Healthcare to develop an intervention to ensure that such discussions are “easily integrated into the care process for every patient,” he noted.
Such efforts are important for ensuring that clinicians are informed about the value of biomarker testing and about guidelines for testing so that patients receive the best possible care, said invited discussant Joshua Sabari, MD, of New York University Langone Health’s Perlmutter Cancer Center.
“I know that, in clinic, when meeting a new patient with non–small cell lung cancer, it’s critical to understand the driver alteration, not only for prognosis, but also for goals-of-care discussion, as well as potential treatment option,” Dr. Sabari said.
Dr. Boehmer reported consulting for Pfizer. Dr. Sabari reported consulting and advisory board membership for multiple pharmaceutical companies.
A recent survey shows that fewer than half of community oncologists use biomarker testing to guide patient discussions about treatment, which compares with 73% of academic clinicians.
The findings, reported at the 2020 World Conference on Lung Cancer, which was rescheduled for January 2021, highlight the potential for unequal application of the latest advances in cancer genomics and targeted therapies throughout the health care system, which could worsen existing disparities in underserved populations, according to Leigh Boehmer, PharmD, medical director for the Association of Community Cancer Centers, Rockville, Md.
The survey – a mixed-methods approach for assessing practice patterns, attitudes, barriers, and resource needs related to biomarker testing among clinicians – was developed by the ACCC in partnership with the LUNGevity Foundation and administered to clinicians caring for patients with non–small cell lung cancer who are uninsured or covered by Medicaid.
Of 99 respondents, more than 85% were physicians and 68% worked in a community setting. Only 40% indicated they were very familiar or extremely familiar with 2018 Molecular Testing Guidelines for Lung Cancer from the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology.
Clinicians were most confident about selecting appropriate tests to use, interpreting test results, and prognosticating based on test results, with 77%, 74%, and 74%, respectively, saying they are very confident or extremely confident in those areas. They were less confident about determining when to order testing and in coordinating care across the multidisciplinary team, with 59% and 64%, respectively, saying they were very confident or extremely confident in those areas, Dr. Boehmer reported at the conference.
The shortcomings with respect to communication across teams were echoed in two focus groups convened to further validate the survey results, he noted.
As for the reasons why clinicians ordered biomarker testing, 88% and 82% of community and academic clinicians, respectively, said they did so to help make targeted treatment decisions.
“Only 48% of community clinicians indicated that they use biomarker testing to guide patient discussions, compared to 73% of academic clinicians,” he said. “That finding was considered statistically significant.”
With respect to decision-making about biomarker testing, 41% said they prefer to share the responsibility with patients, whereas 52% said they prefer to make the final decision.
“Shedding further light on this situation, focus group participants expressed that patients lacked comprehension and interest about what testing entails and what testing means for their treatment options,” Dr. Boehmer noted.
In order to make more informed decisions about biomarker testing, respondents said they need more information on financial resources for patient assistance (26%) and education around both published guidelines and practical implications of the clinical data (21%).
When asked about patients’ information needs, 23% said their patients need psychosocial support, 22% said they need financial assistance, and 9% said their patients have no additional resource needs.
However, only 27% said they provide patients with resources related to psychosocial support services, and only 44% share financial assistance information, he said.
Further, the fact that 9% said their patients need no additional resources represents “a disconnect” from the findings of the survey and focus groups, he added.
“We believe that this study identifies key areas of ongoing clinician need related to biomarker testing, including things like increased guideline familiarity, practical applications of guideline-concordant testing, and … how to optimally coordinate multidisciplinary care delivery,” Dr. Boehmer said. “Professional organizations … in partnership with patient advocacy organizations or groups should focus on developing those patient education materials … and tools for improving patient-clinician discussions about biomarker testing.”
The ACCC will be working with the LUNGevity Foundation and the Center for Business Models in Healthcare to develop an intervention to ensure that such discussions are “easily integrated into the care process for every patient,” he noted.
Such efforts are important for ensuring that clinicians are informed about the value of biomarker testing and about guidelines for testing so that patients receive the best possible care, said invited discussant Joshua Sabari, MD, of New York University Langone Health’s Perlmutter Cancer Center.
“I know that, in clinic, when meeting a new patient with non–small cell lung cancer, it’s critical to understand the driver alteration, not only for prognosis, but also for goals-of-care discussion, as well as potential treatment option,” Dr. Sabari said.
Dr. Boehmer reported consulting for Pfizer. Dr. Sabari reported consulting and advisory board membership for multiple pharmaceutical companies.
REPORTING FROM WCLC 2020
Immunotherapy for cancer patients with poor PS needs a rethink
The findings have prompted an expert to argue against the use of immunotherapy for such patients, who may have little time left and very little chance of benefiting.
“It is quite clear from clinical practice that most patients with limited PS do very poorly and do not benefit from immune check point inhibitors (ICI),” Jason Luke, MD, UPMC Hillman Cancer Center and the University of Pittsburgh, said in an email.
“So, my strong opinion is that patients should not be getting an immunotherapy just because it might not cause as many side effects as chemotherapy,” he added.
“Instead of giving an immunotherapy with little chance of success, patients and families deserve to have a direct conversation about what realistic expectations [might be] and how we as the oncology community can support them to achieve whatever their personal goals are in the time that they have left,” he emphasized.
Dr. Luke was the lead author of an editorial in which he commented on the study. Both the study and the editorial were published online in JCO Oncology Practice.
Variety of cancers
The study was conducted by Mridula Krishnan, MD, Nebraska Medicine Fred and Pamela Buffett Cancer Center, Omaha, Nebraska, and colleagues.
The team reviewed 257 patients who had been treated with either a programmed cell death protein–1 inhibitor or programmed cell death–ligand-1 inhibitor for a variety of advanced cancers. The drugs included pembrolizumab (Keytruda), nivolumab (Opdivo), atezolizumab (Tecentique), durvalumab (Imfinzi), and avelumab (Bavencio).
Most of the patients (71%) had good PS, with an Eastern Cooperative Oncology Group (ECOG) PS of 0-1 on initiation of immunotherapy; 29% of patients had poor PS, with an ECOG PS of greater than or equal to 2.
“The primary outcome was OS stratified by ECOG PS 0-1 versus ≥2,” note the authors. Across all tumor types, OS was superior for patients in the ECOG 0-1 PS group, the investigators note. The median OS was 12.6 months, compared with only 3.1 months for patients in the ECOG greater than or equal to 2 group (P < .001).
Moreover, overall response rates for patients with a poor PS were low. Only 8%, or 6 of 75 patients with an ECOG PS of greater than or equal to 2, achieved an objective response by RECIST criteria.
This compared to an overall response rate of 23% for patients with an ECOG PS of 0-1, the investigators note (P = .005).
Interestingly, the hospice referral rate for patients with a poor PS (67%) was similar to that of patients with a PS of 1-2 (61.9%), Dr. Krishnan and colleagues observe.
Those with a poor PS were more like to die in-hospital (28.6%) than were patients with a good PS (15.1%; P = .035). The authors point out that it is well known that outcomes with chemotherapy are worse among patients who experience a decline in functional reserve, owing to increased susceptibility to toxicity and complications.
“Regardless of age, patients with ECOG PS >2 usually have poor tolerability to chemotherapy, and this correlates with worse survival outcome,” they emphasize. There is as yet no clear guidance regarding the impact of PS on ICI treatment response, although “there should be,” Dr. Luke believes.
“In a patient with declining performance status, especially ECOG PS 3-4 but potentially 2 as well, there is little likelihood that the functional and immune reserve of the patient will be adequate to mount a robust antitumor response,” he elaborated.
“It’s not impossible, but trying for it should not come at the expense of engaging about end-of-life care and maximizing the palliative opportunities that many only have a short window of time in which to pursue,” he added.
Again, Dr. Luke strongly believes that just giving an ICI without engaging in a frank conversation with the patient and their families – which happens all too often, he feels – is absolutely not the way to go when treating patients with a poor PS and little time left.
“Patients and families might be better served by having a more direct and frank conversation about what the likelihood [is] that ICI therapy will actually do,” Dr. Luke stressed.
In their editorial, Dr. Luke and colleagues write: “Overall, we as an oncology community need to improve our communication with patients regarding goals of care and end-of-life considerations as opposed to reflexive treatment initiation,” he writes.
“Our duty, first and foremost, should focus on the person sitting in front of us – taking a step back may be the best way to move forward with compassionate care,” they add.
The authors and editorialists have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
The findings have prompted an expert to argue against the use of immunotherapy for such patients, who may have little time left and very little chance of benefiting.
“It is quite clear from clinical practice that most patients with limited PS do very poorly and do not benefit from immune check point inhibitors (ICI),” Jason Luke, MD, UPMC Hillman Cancer Center and the University of Pittsburgh, said in an email.
“So, my strong opinion is that patients should not be getting an immunotherapy just because it might not cause as many side effects as chemotherapy,” he added.
“Instead of giving an immunotherapy with little chance of success, patients and families deserve to have a direct conversation about what realistic expectations [might be] and how we as the oncology community can support them to achieve whatever their personal goals are in the time that they have left,” he emphasized.
Dr. Luke was the lead author of an editorial in which he commented on the study. Both the study and the editorial were published online in JCO Oncology Practice.
Variety of cancers
The study was conducted by Mridula Krishnan, MD, Nebraska Medicine Fred and Pamela Buffett Cancer Center, Omaha, Nebraska, and colleagues.
The team reviewed 257 patients who had been treated with either a programmed cell death protein–1 inhibitor or programmed cell death–ligand-1 inhibitor for a variety of advanced cancers. The drugs included pembrolizumab (Keytruda), nivolumab (Opdivo), atezolizumab (Tecentique), durvalumab (Imfinzi), and avelumab (Bavencio).
Most of the patients (71%) had good PS, with an Eastern Cooperative Oncology Group (ECOG) PS of 0-1 on initiation of immunotherapy; 29% of patients had poor PS, with an ECOG PS of greater than or equal to 2.
“The primary outcome was OS stratified by ECOG PS 0-1 versus ≥2,” note the authors. Across all tumor types, OS was superior for patients in the ECOG 0-1 PS group, the investigators note. The median OS was 12.6 months, compared with only 3.1 months for patients in the ECOG greater than or equal to 2 group (P < .001).
Moreover, overall response rates for patients with a poor PS were low. Only 8%, or 6 of 75 patients with an ECOG PS of greater than or equal to 2, achieved an objective response by RECIST criteria.
This compared to an overall response rate of 23% for patients with an ECOG PS of 0-1, the investigators note (P = .005).
Interestingly, the hospice referral rate for patients with a poor PS (67%) was similar to that of patients with a PS of 1-2 (61.9%), Dr. Krishnan and colleagues observe.
Those with a poor PS were more like to die in-hospital (28.6%) than were patients with a good PS (15.1%; P = .035). The authors point out that it is well known that outcomes with chemotherapy are worse among patients who experience a decline in functional reserve, owing to increased susceptibility to toxicity and complications.
“Regardless of age, patients with ECOG PS >2 usually have poor tolerability to chemotherapy, and this correlates with worse survival outcome,” they emphasize. There is as yet no clear guidance regarding the impact of PS on ICI treatment response, although “there should be,” Dr. Luke believes.
“In a patient with declining performance status, especially ECOG PS 3-4 but potentially 2 as well, there is little likelihood that the functional and immune reserve of the patient will be adequate to mount a robust antitumor response,” he elaborated.
“It’s not impossible, but trying for it should not come at the expense of engaging about end-of-life care and maximizing the palliative opportunities that many only have a short window of time in which to pursue,” he added.
Again, Dr. Luke strongly believes that just giving an ICI without engaging in a frank conversation with the patient and their families – which happens all too often, he feels – is absolutely not the way to go when treating patients with a poor PS and little time left.
“Patients and families might be better served by having a more direct and frank conversation about what the likelihood [is] that ICI therapy will actually do,” Dr. Luke stressed.
In their editorial, Dr. Luke and colleagues write: “Overall, we as an oncology community need to improve our communication with patients regarding goals of care and end-of-life considerations as opposed to reflexive treatment initiation,” he writes.
“Our duty, first and foremost, should focus on the person sitting in front of us – taking a step back may be the best way to move forward with compassionate care,” they add.
The authors and editorialists have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
The findings have prompted an expert to argue against the use of immunotherapy for such patients, who may have little time left and very little chance of benefiting.
“It is quite clear from clinical practice that most patients with limited PS do very poorly and do not benefit from immune check point inhibitors (ICI),” Jason Luke, MD, UPMC Hillman Cancer Center and the University of Pittsburgh, said in an email.
“So, my strong opinion is that patients should not be getting an immunotherapy just because it might not cause as many side effects as chemotherapy,” he added.
“Instead of giving an immunotherapy with little chance of success, patients and families deserve to have a direct conversation about what realistic expectations [might be] and how we as the oncology community can support them to achieve whatever their personal goals are in the time that they have left,” he emphasized.
Dr. Luke was the lead author of an editorial in which he commented on the study. Both the study and the editorial were published online in JCO Oncology Practice.
Variety of cancers
The study was conducted by Mridula Krishnan, MD, Nebraska Medicine Fred and Pamela Buffett Cancer Center, Omaha, Nebraska, and colleagues.
The team reviewed 257 patients who had been treated with either a programmed cell death protein–1 inhibitor or programmed cell death–ligand-1 inhibitor for a variety of advanced cancers. The drugs included pembrolizumab (Keytruda), nivolumab (Opdivo), atezolizumab (Tecentique), durvalumab (Imfinzi), and avelumab (Bavencio).
Most of the patients (71%) had good PS, with an Eastern Cooperative Oncology Group (ECOG) PS of 0-1 on initiation of immunotherapy; 29% of patients had poor PS, with an ECOG PS of greater than or equal to 2.
“The primary outcome was OS stratified by ECOG PS 0-1 versus ≥2,” note the authors. Across all tumor types, OS was superior for patients in the ECOG 0-1 PS group, the investigators note. The median OS was 12.6 months, compared with only 3.1 months for patients in the ECOG greater than or equal to 2 group (P < .001).
Moreover, overall response rates for patients with a poor PS were low. Only 8%, or 6 of 75 patients with an ECOG PS of greater than or equal to 2, achieved an objective response by RECIST criteria.
This compared to an overall response rate of 23% for patients with an ECOG PS of 0-1, the investigators note (P = .005).
Interestingly, the hospice referral rate for patients with a poor PS (67%) was similar to that of patients with a PS of 1-2 (61.9%), Dr. Krishnan and colleagues observe.
Those with a poor PS were more like to die in-hospital (28.6%) than were patients with a good PS (15.1%; P = .035). The authors point out that it is well known that outcomes with chemotherapy are worse among patients who experience a decline in functional reserve, owing to increased susceptibility to toxicity and complications.
“Regardless of age, patients with ECOG PS >2 usually have poor tolerability to chemotherapy, and this correlates with worse survival outcome,” they emphasize. There is as yet no clear guidance regarding the impact of PS on ICI treatment response, although “there should be,” Dr. Luke believes.
“In a patient with declining performance status, especially ECOG PS 3-4 but potentially 2 as well, there is little likelihood that the functional and immune reserve of the patient will be adequate to mount a robust antitumor response,” he elaborated.
“It’s not impossible, but trying for it should not come at the expense of engaging about end-of-life care and maximizing the palliative opportunities that many only have a short window of time in which to pursue,” he added.
Again, Dr. Luke strongly believes that just giving an ICI without engaging in a frank conversation with the patient and their families – which happens all too often, he feels – is absolutely not the way to go when treating patients with a poor PS and little time left.
“Patients and families might be better served by having a more direct and frank conversation about what the likelihood [is] that ICI therapy will actually do,” Dr. Luke stressed.
In their editorial, Dr. Luke and colleagues write: “Overall, we as an oncology community need to improve our communication with patients regarding goals of care and end-of-life considerations as opposed to reflexive treatment initiation,” he writes.
“Our duty, first and foremost, should focus on the person sitting in front of us – taking a step back may be the best way to move forward with compassionate care,” they add.
The authors and editorialists have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
One in three cancer articles on social media has wrong info
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Don’t delay: Cancer patients need both doses of COVID vaccine
The new findings, which are soon to be published as a preprint, cast doubt on the current U.K. policy of delaying the second dose of the vaccine.
Delaying the second dose can leave most patients with cancer wholly or partially unprotected, according to the researchers. Moreover, such a delay has implications for transmission of SARS-CoV-2 in the cancer patient’s environs as well as for the evolution of virus variants that could be of concern, the researchers concluded.
The data come from a British study that included 151 patients with cancer and 54 healthy control persons. All participants received the COVID-19 mRNA BNT162b2 vaccine (Pfizer-BioNTech).
This vaccine requires two doses. The first few participants in this study were given the second dose 21 days after they had received the first dose, but then national guidelines changed, and the remaining participants had to wait 12 weeks to receive their second dose.
The researchers reported that, among health controls, the immune efficacy of the first dose was very high (97% efficacious). By contrast, among patients with solid tumors, the immune efficacy of a single dose was strikingly low (39%), and it was even lower in patients with hematologic malignancies (13%).
The second dose of vaccine greatly and rapidly increased the immune efficacy in patients with solid tumors (95% within 2 weeks of receiving the second dose), the researchers added.
Too few patients with hematologic cancers had received the second dose before the study ended for clear conclusions to be drawn. Nevertheless, the available data suggest that 50% of patients with hematologic cancers who had received the booster at day 21 were seropositive at 5 weeks vs. only 8% of those who had not received the booster.
“Our data provide the first real-world evidence of immune efficacy following one dose of the Pfizer vaccine in immunocompromised patient populations [and] clearly show that the poor one-dose efficacy in cancer patients can be rescued with an early booster at day 21,” commented senior author Sheeba Irshad, MD, senior clinical lecturer, King’s College London.
“Based on our findings, we would recommend an urgent review of the vaccine strategy for clinically extremely vulnerable groups. Until then, it is important that cancer patients continue to observe all public health measures in place, such as social distancing and shielding when attending hospitals, even after vaccination,” Dr. Irshad added.
The paper, with first author Leticia Monin-Aldama, PhD, is scheduled to appear on the preprint server medRxiv. It has not undergone peer review. The paper was distributed to journalists, with comments from experts not involved in the study, by the UK Science Media Centre.
These data are “of immediate importance” to patients with cancer, commented Shoba Amarnath, PhD, Newcastle University research fellow, Laboratory of T-cell Regulation, Newcastle University Center for Cancer, Newcastle upon Tyne, England.
“These findings are consistent with our understanding. … We know that the immune system within cancer patients is compromised as compared to healthy controls,” Dr. Amarnath said. “The data in the study support the notion that, in solid cancer patients, a considerable delay in second dose will extend the period when cancer patients are at risk of SARS-CoV-2 infection.”
Although more data are required, “this study does raise the issue of whether patients with cancer, other diseases, or those undergoing therapies that affect the body’s immune response should be fast-tracked for their second vaccine dose,” commented Lawrence Young, PhD, professor of molecular oncology and director of the Warwick Cancer Research Center, University of Warwick, Coventry, England.
Stephen Evans, MSc, professor of pharmacoepidemiology, London School of Hygiene and Tropical Medicine, underlined that the study is “essentially” observational and “inevitable limitations must be taken into account.
“Nevertheless, these results do suggest that the vaccines may well not protect those patients with cancer as well as those without cancer,” Mr. Evans said. He added that it is “important that this population continues to observe all COVID-19–associated measures, such as social distancing and shielding when attending hospitals, even after vaccination.”
Study details
Previous studies have shown that some patients with cancer have prolonged responses to SARS-CoV-2 infection, with ongoing immune dysregulation, inefficient seroconversion, and prolonged viral shedding.
There are few data, however, on how these patients respond to COVID-19 vaccination. The authors point out that, among the 18,860 individuals who received the Pfizer vaccine during its development trials, “none with an active oncological diagnosis was included.”
To investigate this issue, they launched the SARS-CoV-2 for Cancer Patients (SOAP-02) study.
The 151 patients with cancer who participated in this study were mostly elderly, the authors noted (75% were older than 65 years; the median age was 73 years). The majority (63%) had solid-tumor malignancies. Of those, 8% had late-stage disease and had been living with their cancer for more than 24 months.
The healthy control persons were vaccine-eligible primary health care workers who were not age matched to the cancer patients.
All participants received the first dose of vaccine; 31 (of 151) patients with cancer and 16 (of 54) healthy control persons received the second dose on day 21.
The remaining participants were scheduled to receive their second dose 12 weeks later (after the study ended), in line with the changes in the national guidelines.
The team reported that, approximately 21 days after receiving the first vaccine dose, the immune efficacy of the vaccine was estimated to be 97% among healthy control persons vs. 39% for patients with solid tumors and only 13% for those with hematologic malignancies (P < .0001 for both).
T-cell responses, as assessed via interferon-gamma and/or interleukin-2 production, were observed in 82% of healthy control persons, 71% of patients with solid tumors, and 50% of those with hematologic cancers.
Vaccine boosting at day 21 resulted in immune efficacy of 100% for healthy control persons and 95% for patients with solid tumors. In contrast, only 43% of those who did not receive the second dose were seropositive 2 weeks later.
Further analysis suggested that participants who did not have a serologic response were “spread evenly” across different cancer types, but the reduced responses were more frequent among patients who had received the vaccine within 15 days of cancer treatment, especially chemotherapy, and had undergone intensive treatments.
The SOAP study is sponsored by King’s College London and Guy’s and St. Thomas Trust Foundation NHS Trust. It is funded from grants from the KCL Charity, Cancer Research UK, and program grants from Breast Cancer Now. The investigators have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
The new findings, which are soon to be published as a preprint, cast doubt on the current U.K. policy of delaying the second dose of the vaccine.
Delaying the second dose can leave most patients with cancer wholly or partially unprotected, according to the researchers. Moreover, such a delay has implications for transmission of SARS-CoV-2 in the cancer patient’s environs as well as for the evolution of virus variants that could be of concern, the researchers concluded.
The data come from a British study that included 151 patients with cancer and 54 healthy control persons. All participants received the COVID-19 mRNA BNT162b2 vaccine (Pfizer-BioNTech).
This vaccine requires two doses. The first few participants in this study were given the second dose 21 days after they had received the first dose, but then national guidelines changed, and the remaining participants had to wait 12 weeks to receive their second dose.
The researchers reported that, among health controls, the immune efficacy of the first dose was very high (97% efficacious). By contrast, among patients with solid tumors, the immune efficacy of a single dose was strikingly low (39%), and it was even lower in patients with hematologic malignancies (13%).
The second dose of vaccine greatly and rapidly increased the immune efficacy in patients with solid tumors (95% within 2 weeks of receiving the second dose), the researchers added.
Too few patients with hematologic cancers had received the second dose before the study ended for clear conclusions to be drawn. Nevertheless, the available data suggest that 50% of patients with hematologic cancers who had received the booster at day 21 were seropositive at 5 weeks vs. only 8% of those who had not received the booster.
“Our data provide the first real-world evidence of immune efficacy following one dose of the Pfizer vaccine in immunocompromised patient populations [and] clearly show that the poor one-dose efficacy in cancer patients can be rescued with an early booster at day 21,” commented senior author Sheeba Irshad, MD, senior clinical lecturer, King’s College London.
“Based on our findings, we would recommend an urgent review of the vaccine strategy for clinically extremely vulnerable groups. Until then, it is important that cancer patients continue to observe all public health measures in place, such as social distancing and shielding when attending hospitals, even after vaccination,” Dr. Irshad added.
The paper, with first author Leticia Monin-Aldama, PhD, is scheduled to appear on the preprint server medRxiv. It has not undergone peer review. The paper was distributed to journalists, with comments from experts not involved in the study, by the UK Science Media Centre.
These data are “of immediate importance” to patients with cancer, commented Shoba Amarnath, PhD, Newcastle University research fellow, Laboratory of T-cell Regulation, Newcastle University Center for Cancer, Newcastle upon Tyne, England.
“These findings are consistent with our understanding. … We know that the immune system within cancer patients is compromised as compared to healthy controls,” Dr. Amarnath said. “The data in the study support the notion that, in solid cancer patients, a considerable delay in second dose will extend the period when cancer patients are at risk of SARS-CoV-2 infection.”
Although more data are required, “this study does raise the issue of whether patients with cancer, other diseases, or those undergoing therapies that affect the body’s immune response should be fast-tracked for their second vaccine dose,” commented Lawrence Young, PhD, professor of molecular oncology and director of the Warwick Cancer Research Center, University of Warwick, Coventry, England.
Stephen Evans, MSc, professor of pharmacoepidemiology, London School of Hygiene and Tropical Medicine, underlined that the study is “essentially” observational and “inevitable limitations must be taken into account.
“Nevertheless, these results do suggest that the vaccines may well not protect those patients with cancer as well as those without cancer,” Mr. Evans said. He added that it is “important that this population continues to observe all COVID-19–associated measures, such as social distancing and shielding when attending hospitals, even after vaccination.”
Study details
Previous studies have shown that some patients with cancer have prolonged responses to SARS-CoV-2 infection, with ongoing immune dysregulation, inefficient seroconversion, and prolonged viral shedding.
There are few data, however, on how these patients respond to COVID-19 vaccination. The authors point out that, among the 18,860 individuals who received the Pfizer vaccine during its development trials, “none with an active oncological diagnosis was included.”
To investigate this issue, they launched the SARS-CoV-2 for Cancer Patients (SOAP-02) study.
The 151 patients with cancer who participated in this study were mostly elderly, the authors noted (75% were older than 65 years; the median age was 73 years). The majority (63%) had solid-tumor malignancies. Of those, 8% had late-stage disease and had been living with their cancer for more than 24 months.
The healthy control persons were vaccine-eligible primary health care workers who were not age matched to the cancer patients.
All participants received the first dose of vaccine; 31 (of 151) patients with cancer and 16 (of 54) healthy control persons received the second dose on day 21.
The remaining participants were scheduled to receive their second dose 12 weeks later (after the study ended), in line with the changes in the national guidelines.
The team reported that, approximately 21 days after receiving the first vaccine dose, the immune efficacy of the vaccine was estimated to be 97% among healthy control persons vs. 39% for patients with solid tumors and only 13% for those with hematologic malignancies (P < .0001 for both).
T-cell responses, as assessed via interferon-gamma and/or interleukin-2 production, were observed in 82% of healthy control persons, 71% of patients with solid tumors, and 50% of those with hematologic cancers.
Vaccine boosting at day 21 resulted in immune efficacy of 100% for healthy control persons and 95% for patients with solid tumors. In contrast, only 43% of those who did not receive the second dose were seropositive 2 weeks later.
Further analysis suggested that participants who did not have a serologic response were “spread evenly” across different cancer types, but the reduced responses were more frequent among patients who had received the vaccine within 15 days of cancer treatment, especially chemotherapy, and had undergone intensive treatments.
The SOAP study is sponsored by King’s College London and Guy’s and St. Thomas Trust Foundation NHS Trust. It is funded from grants from the KCL Charity, Cancer Research UK, and program grants from Breast Cancer Now. The investigators have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
The new findings, which are soon to be published as a preprint, cast doubt on the current U.K. policy of delaying the second dose of the vaccine.
Delaying the second dose can leave most patients with cancer wholly or partially unprotected, according to the researchers. Moreover, such a delay has implications for transmission of SARS-CoV-2 in the cancer patient’s environs as well as for the evolution of virus variants that could be of concern, the researchers concluded.
The data come from a British study that included 151 patients with cancer and 54 healthy control persons. All participants received the COVID-19 mRNA BNT162b2 vaccine (Pfizer-BioNTech).
This vaccine requires two doses. The first few participants in this study were given the second dose 21 days after they had received the first dose, but then national guidelines changed, and the remaining participants had to wait 12 weeks to receive their second dose.
The researchers reported that, among health controls, the immune efficacy of the first dose was very high (97% efficacious). By contrast, among patients with solid tumors, the immune efficacy of a single dose was strikingly low (39%), and it was even lower in patients with hematologic malignancies (13%).
The second dose of vaccine greatly and rapidly increased the immune efficacy in patients with solid tumors (95% within 2 weeks of receiving the second dose), the researchers added.
Too few patients with hematologic cancers had received the second dose before the study ended for clear conclusions to be drawn. Nevertheless, the available data suggest that 50% of patients with hematologic cancers who had received the booster at day 21 were seropositive at 5 weeks vs. only 8% of those who had not received the booster.
“Our data provide the first real-world evidence of immune efficacy following one dose of the Pfizer vaccine in immunocompromised patient populations [and] clearly show that the poor one-dose efficacy in cancer patients can be rescued with an early booster at day 21,” commented senior author Sheeba Irshad, MD, senior clinical lecturer, King’s College London.
“Based on our findings, we would recommend an urgent review of the vaccine strategy for clinically extremely vulnerable groups. Until then, it is important that cancer patients continue to observe all public health measures in place, such as social distancing and shielding when attending hospitals, even after vaccination,” Dr. Irshad added.
The paper, with first author Leticia Monin-Aldama, PhD, is scheduled to appear on the preprint server medRxiv. It has not undergone peer review. The paper was distributed to journalists, with comments from experts not involved in the study, by the UK Science Media Centre.
These data are “of immediate importance” to patients with cancer, commented Shoba Amarnath, PhD, Newcastle University research fellow, Laboratory of T-cell Regulation, Newcastle University Center for Cancer, Newcastle upon Tyne, England.
“These findings are consistent with our understanding. … We know that the immune system within cancer patients is compromised as compared to healthy controls,” Dr. Amarnath said. “The data in the study support the notion that, in solid cancer patients, a considerable delay in second dose will extend the period when cancer patients are at risk of SARS-CoV-2 infection.”
Although more data are required, “this study does raise the issue of whether patients with cancer, other diseases, or those undergoing therapies that affect the body’s immune response should be fast-tracked for their second vaccine dose,” commented Lawrence Young, PhD, professor of molecular oncology and director of the Warwick Cancer Research Center, University of Warwick, Coventry, England.
Stephen Evans, MSc, professor of pharmacoepidemiology, London School of Hygiene and Tropical Medicine, underlined that the study is “essentially” observational and “inevitable limitations must be taken into account.
“Nevertheless, these results do suggest that the vaccines may well not protect those patients with cancer as well as those without cancer,” Mr. Evans said. He added that it is “important that this population continues to observe all COVID-19–associated measures, such as social distancing and shielding when attending hospitals, even after vaccination.”
Study details
Previous studies have shown that some patients with cancer have prolonged responses to SARS-CoV-2 infection, with ongoing immune dysregulation, inefficient seroconversion, and prolonged viral shedding.
There are few data, however, on how these patients respond to COVID-19 vaccination. The authors point out that, among the 18,860 individuals who received the Pfizer vaccine during its development trials, “none with an active oncological diagnosis was included.”
To investigate this issue, they launched the SARS-CoV-2 for Cancer Patients (SOAP-02) study.
The 151 patients with cancer who participated in this study were mostly elderly, the authors noted (75% were older than 65 years; the median age was 73 years). The majority (63%) had solid-tumor malignancies. Of those, 8% had late-stage disease and had been living with their cancer for more than 24 months.
The healthy control persons were vaccine-eligible primary health care workers who were not age matched to the cancer patients.
All participants received the first dose of vaccine; 31 (of 151) patients with cancer and 16 (of 54) healthy control persons received the second dose on day 21.
The remaining participants were scheduled to receive their second dose 12 weeks later (after the study ended), in line with the changes in the national guidelines.
The team reported that, approximately 21 days after receiving the first vaccine dose, the immune efficacy of the vaccine was estimated to be 97% among healthy control persons vs. 39% for patients with solid tumors and only 13% for those with hematologic malignancies (P < .0001 for both).
T-cell responses, as assessed via interferon-gamma and/or interleukin-2 production, were observed in 82% of healthy control persons, 71% of patients with solid tumors, and 50% of those with hematologic cancers.
Vaccine boosting at day 21 resulted in immune efficacy of 100% for healthy control persons and 95% for patients with solid tumors. In contrast, only 43% of those who did not receive the second dose were seropositive 2 weeks later.
Further analysis suggested that participants who did not have a serologic response were “spread evenly” across different cancer types, but the reduced responses were more frequent among patients who had received the vaccine within 15 days of cancer treatment, especially chemotherapy, and had undergone intensive treatments.
The SOAP study is sponsored by King’s College London and Guy’s and St. Thomas Trust Foundation NHS Trust. It is funded from grants from the KCL Charity, Cancer Research UK, and program grants from Breast Cancer Now. The investigators have disclosed no relevant financial relationships.
A version of this article first appeared on Medscape.com.
Doxorubicin-pomalidomide combo shows promise for Kaposi sarcoma
Liposomal doxorubicin (Dox) plus pomalidomide (Pom) was safe and active in heavily pretreated patients with Kaposi sarcoma, according to results from a phase 1/2 trial.
“The results of our phase 1/2 study suggest pomalidomide and liposomal doxorubicin is safe with evidence of activity among patients with Kaposi sarcoma,” said investigator Ramya Ramaswami, MBBS, MPH, of the HIV & AIDS malignancy branch at the National Cancer Institute. The results were presented at the Conference on Retroviruses and Opportunistic Infections.
The researchers evaluated the safety and tolerability of Pom/Dox in two groups of patients with Kaposi sarcoma: group 1 included patients with Kaposi sarcoma alone and group 2 included patients with Kaposi sarcoma–associated herpesvirus and concurrent multicentric Castleman disease (KSHV-MCD) and KSHV inflammatory cytokine syndrome (KICS).
“Kaposi sarcoma can be challenging to treat when it co-occurs with KSHV-MCD or KICS, resulting in high mortality rates,” Dr. Ramaswami explained.
Study participants received IV liposomal Dox at 20 mg/m2 on day 1 of a 28-day cycle, in addition to oral Pom once daily on days 1-21 at three escalating dose levels (2 mg, 3 mg, or 4 mg, respectively) using a standard 3 + 3 design until plateau of response, progression, dose-limiting toxicities (DLTs) or patient preference. Some eligibility criteria differed between groups 1 and 2. Participants in group 1 were required to be on antiretroviral therapy for at least 1 month and had a performance status of 2 or less, while those in group 2 had a performance status of 3 or less and could be antiretroviral therapy naive.
All participants received oral aspirin thromboprophylaxis (81 mg daily) and could have received prior Kaposi sarcoma therapy.
With respect to outcomes, Kaposi sarcoma responses were assessed using the modified AIDS Clinical Trial Group criteria and KICS and KSHV-MCD responses were evaluated using an NCI clinical benefit criteria.
Results
Overall, 34 cisgender men were enrolled in the study: 21 (62%) in group 1 and 13 (38%) in group 2. All participants had severe (T1) Kaposi sarcoma; 32 (94%) participants were HIV-infected and 22 (65%) had prior chemotherapy for Kaposi sarcoma.
While the HIV viral load was largely controlled in both groups, the CD4 count differed, with median CD4 counts of 286 and 92 cells/mcL in groups 1 and 2, respectively.
With respect to safety, no DLTs were observed in group 1. As a result, 12 participants were treated at the maximum tolerated dose (MTD) of 4 mg of Pom. However, two DLTs (grade 3 rash and pharyngeal edema) were observed in group 2 at the 3 mg dose level.
A median of six cycles were administered for all participants and the most common grade 3/4 toxicity was neutropenia; nine patients with grade 3 neutropenia required dose reduction and three patients had febrile neutropenia requiring hospitalization. Other Pom-related adverse events were rash, constipation, and fatigue.
Among evaluable participants receiving two or more cycles, 17 (81%) patients in group 1 had a response (95% confidence interval, 58-95%; 16 partial response and 1 complete response) and 5 (50%) patients in group 2 had a response (95% CI, 19-81%; 4 PR and 1 CR).
“Our waterfall plots indicated that the vast majority of patients in group 1 had a positive change in nodular lesions at baseline,” Dr. Ramaswami said. “Participants in group 2 showed some decrease in nodular lesions, but this was usually temporary.”
Among seven participants with KICS responses, four participants (57%) experienced a CR or PR in symptoms and lab abnormalities associated with KICS; three of six participants (50%) with KSHV-MCD responses experienced a PR as per response criteria.
“While activity was noted, the combination was less well tolerated in patients with Kaposi sarcoma and concurrent KSHV-MCD or KICS,” Dr. Ramaswami said.
During a live discussion, Ronald T. Mitsuyasu, MD, of the University of California, Los Angeles, asked Dr. Ramaswami about the use of liposomal doxorubicin alone in patients with Kaposi sarcoma and concurrent KSHV-MCD or KICS.
While there is currently no data on the use of doxorubicin alone in this population, Dr. Ramaswami noted that she was more confident administering Pom/Dox combination therapy for these patients.
Dr. Ramaswami disclosed financial relationships with the National Cancer Institute, Celgene/Bristol-Myers Squibb, EMD Serono, Merck, CTI Biopharma, and Janssen. The study was funded by a cooperative research and drug development agreement between the National Cancer Institute and Celgene/BMS, EMD Serono, Merck, CTI Biopharma, and Janssen.
Liposomal doxorubicin (Dox) plus pomalidomide (Pom) was safe and active in heavily pretreated patients with Kaposi sarcoma, according to results from a phase 1/2 trial.
“The results of our phase 1/2 study suggest pomalidomide and liposomal doxorubicin is safe with evidence of activity among patients with Kaposi sarcoma,” said investigator Ramya Ramaswami, MBBS, MPH, of the HIV & AIDS malignancy branch at the National Cancer Institute. The results were presented at the Conference on Retroviruses and Opportunistic Infections.
The researchers evaluated the safety and tolerability of Pom/Dox in two groups of patients with Kaposi sarcoma: group 1 included patients with Kaposi sarcoma alone and group 2 included patients with Kaposi sarcoma–associated herpesvirus and concurrent multicentric Castleman disease (KSHV-MCD) and KSHV inflammatory cytokine syndrome (KICS).
“Kaposi sarcoma can be challenging to treat when it co-occurs with KSHV-MCD or KICS, resulting in high mortality rates,” Dr. Ramaswami explained.
Study participants received IV liposomal Dox at 20 mg/m2 on day 1 of a 28-day cycle, in addition to oral Pom once daily on days 1-21 at three escalating dose levels (2 mg, 3 mg, or 4 mg, respectively) using a standard 3 + 3 design until plateau of response, progression, dose-limiting toxicities (DLTs) or patient preference. Some eligibility criteria differed between groups 1 and 2. Participants in group 1 were required to be on antiretroviral therapy for at least 1 month and had a performance status of 2 or less, while those in group 2 had a performance status of 3 or less and could be antiretroviral therapy naive.
All participants received oral aspirin thromboprophylaxis (81 mg daily) and could have received prior Kaposi sarcoma therapy.
With respect to outcomes, Kaposi sarcoma responses were assessed using the modified AIDS Clinical Trial Group criteria and KICS and KSHV-MCD responses were evaluated using an NCI clinical benefit criteria.
Results
Overall, 34 cisgender men were enrolled in the study: 21 (62%) in group 1 and 13 (38%) in group 2. All participants had severe (T1) Kaposi sarcoma; 32 (94%) participants were HIV-infected and 22 (65%) had prior chemotherapy for Kaposi sarcoma.
While the HIV viral load was largely controlled in both groups, the CD4 count differed, with median CD4 counts of 286 and 92 cells/mcL in groups 1 and 2, respectively.
With respect to safety, no DLTs were observed in group 1. As a result, 12 participants were treated at the maximum tolerated dose (MTD) of 4 mg of Pom. However, two DLTs (grade 3 rash and pharyngeal edema) were observed in group 2 at the 3 mg dose level.
A median of six cycles were administered for all participants and the most common grade 3/4 toxicity was neutropenia; nine patients with grade 3 neutropenia required dose reduction and three patients had febrile neutropenia requiring hospitalization. Other Pom-related adverse events were rash, constipation, and fatigue.
Among evaluable participants receiving two or more cycles, 17 (81%) patients in group 1 had a response (95% confidence interval, 58-95%; 16 partial response and 1 complete response) and 5 (50%) patients in group 2 had a response (95% CI, 19-81%; 4 PR and 1 CR).
“Our waterfall plots indicated that the vast majority of patients in group 1 had a positive change in nodular lesions at baseline,” Dr. Ramaswami said. “Participants in group 2 showed some decrease in nodular lesions, but this was usually temporary.”
Among seven participants with KICS responses, four participants (57%) experienced a CR or PR in symptoms and lab abnormalities associated with KICS; three of six participants (50%) with KSHV-MCD responses experienced a PR as per response criteria.
“While activity was noted, the combination was less well tolerated in patients with Kaposi sarcoma and concurrent KSHV-MCD or KICS,” Dr. Ramaswami said.
During a live discussion, Ronald T. Mitsuyasu, MD, of the University of California, Los Angeles, asked Dr. Ramaswami about the use of liposomal doxorubicin alone in patients with Kaposi sarcoma and concurrent KSHV-MCD or KICS.
While there is currently no data on the use of doxorubicin alone in this population, Dr. Ramaswami noted that she was more confident administering Pom/Dox combination therapy for these patients.
Dr. Ramaswami disclosed financial relationships with the National Cancer Institute, Celgene/Bristol-Myers Squibb, EMD Serono, Merck, CTI Biopharma, and Janssen. The study was funded by a cooperative research and drug development agreement between the National Cancer Institute and Celgene/BMS, EMD Serono, Merck, CTI Biopharma, and Janssen.
Liposomal doxorubicin (Dox) plus pomalidomide (Pom) was safe and active in heavily pretreated patients with Kaposi sarcoma, according to results from a phase 1/2 trial.
“The results of our phase 1/2 study suggest pomalidomide and liposomal doxorubicin is safe with evidence of activity among patients with Kaposi sarcoma,” said investigator Ramya Ramaswami, MBBS, MPH, of the HIV & AIDS malignancy branch at the National Cancer Institute. The results were presented at the Conference on Retroviruses and Opportunistic Infections.
The researchers evaluated the safety and tolerability of Pom/Dox in two groups of patients with Kaposi sarcoma: group 1 included patients with Kaposi sarcoma alone and group 2 included patients with Kaposi sarcoma–associated herpesvirus and concurrent multicentric Castleman disease (KSHV-MCD) and KSHV inflammatory cytokine syndrome (KICS).
“Kaposi sarcoma can be challenging to treat when it co-occurs with KSHV-MCD or KICS, resulting in high mortality rates,” Dr. Ramaswami explained.
Study participants received IV liposomal Dox at 20 mg/m2 on day 1 of a 28-day cycle, in addition to oral Pom once daily on days 1-21 at three escalating dose levels (2 mg, 3 mg, or 4 mg, respectively) using a standard 3 + 3 design until plateau of response, progression, dose-limiting toxicities (DLTs) or patient preference. Some eligibility criteria differed between groups 1 and 2. Participants in group 1 were required to be on antiretroviral therapy for at least 1 month and had a performance status of 2 or less, while those in group 2 had a performance status of 3 or less and could be antiretroviral therapy naive.
All participants received oral aspirin thromboprophylaxis (81 mg daily) and could have received prior Kaposi sarcoma therapy.
With respect to outcomes, Kaposi sarcoma responses were assessed using the modified AIDS Clinical Trial Group criteria and KICS and KSHV-MCD responses were evaluated using an NCI clinical benefit criteria.
Results
Overall, 34 cisgender men were enrolled in the study: 21 (62%) in group 1 and 13 (38%) in group 2. All participants had severe (T1) Kaposi sarcoma; 32 (94%) participants were HIV-infected and 22 (65%) had prior chemotherapy for Kaposi sarcoma.
While the HIV viral load was largely controlled in both groups, the CD4 count differed, with median CD4 counts of 286 and 92 cells/mcL in groups 1 and 2, respectively.
With respect to safety, no DLTs were observed in group 1. As a result, 12 participants were treated at the maximum tolerated dose (MTD) of 4 mg of Pom. However, two DLTs (grade 3 rash and pharyngeal edema) were observed in group 2 at the 3 mg dose level.
A median of six cycles were administered for all participants and the most common grade 3/4 toxicity was neutropenia; nine patients with grade 3 neutropenia required dose reduction and three patients had febrile neutropenia requiring hospitalization. Other Pom-related adverse events were rash, constipation, and fatigue.
Among evaluable participants receiving two or more cycles, 17 (81%) patients in group 1 had a response (95% confidence interval, 58-95%; 16 partial response and 1 complete response) and 5 (50%) patients in group 2 had a response (95% CI, 19-81%; 4 PR and 1 CR).
“Our waterfall plots indicated that the vast majority of patients in group 1 had a positive change in nodular lesions at baseline,” Dr. Ramaswami said. “Participants in group 2 showed some decrease in nodular lesions, but this was usually temporary.”
Among seven participants with KICS responses, four participants (57%) experienced a CR or PR in symptoms and lab abnormalities associated with KICS; three of six participants (50%) with KSHV-MCD responses experienced a PR as per response criteria.
“While activity was noted, the combination was less well tolerated in patients with Kaposi sarcoma and concurrent KSHV-MCD or KICS,” Dr. Ramaswami said.
During a live discussion, Ronald T. Mitsuyasu, MD, of the University of California, Los Angeles, asked Dr. Ramaswami about the use of liposomal doxorubicin alone in patients with Kaposi sarcoma and concurrent KSHV-MCD or KICS.
While there is currently no data on the use of doxorubicin alone in this population, Dr. Ramaswami noted that she was more confident administering Pom/Dox combination therapy for these patients.
Dr. Ramaswami disclosed financial relationships with the National Cancer Institute, Celgene/Bristol-Myers Squibb, EMD Serono, Merck, CTI Biopharma, and Janssen. The study was funded by a cooperative research and drug development agreement between the National Cancer Institute and Celgene/BMS, EMD Serono, Merck, CTI Biopharma, and Janssen.
FROM CROI 2021
mCODE: Improving data sharing to enhance cancer care
An initiative designed to improve sharing of patient data may provide “tremendous benefits” in cancer care and research, according to authors of a review article.
The goals of the initiative, called Minimal Common Oncology Data Elements (mCODE), were to identify the data elements in electronic health records that are “essential” for making treatment decisions and create “a standardized computable data format” that would improve the exchange of data across EHRs, according to the mCODE website.
Travis J. Osterman, DO, of Vanderbilt University Medical Center in Nashville, Tenn., and colleagues described the mCODE initiative in a review published in JCO Clinical Cancer Informatics.
At present, commercially available EHRs are poorly designed to support modern oncology workflow, requiring laborious data entry and lacking a common library of oncology-specific discrete data elements. As an example, most EHRs poorly support the needs of precision oncology and clinical genetics, since next-generation sequencing and genetic test results are almost universally reported in PDF files.
In addition, basic, operational oncology data (e.g., cancer staging, adverse event documentation, response to treatment, etc.) are captured in EHRs primarily as an unstructured narrative.
Computable, analytical data are found for only the small percentage of patients in clinical trials. Even then, some degree of manual data abstraction is regularly required.
Interoperability of EHRs between practices and health care institutions is often so poor that the transfer of basic cancer-related information as analyzable data is difficult or even impossible.
Making progress: The 21st Century Cures Act
The American Society of Clinical Oncology has a more than 15-year history of developing oncology data standards. Unfortunately, progress in implementing these standards has been glacially slow. Impediments have included:
- A lack of conformance with clinical workflows.
- Failure to test standards on specific-use cases during pilot testing.
- A focus on data exchange, rather than the practical impediments to data entry.
- Poor engagement with EHR vendors in distributing clinical information modules with an oncology-specific focus
- Instability of data interoperability technologies.
The 21st Century Cures Act, which became law in December 2016, mandated improvement in the interoperability of health information through the development of data standards and application programming interfaces.
In early 2020, final rules for implementation required technology vendors to employ application programming interfaces using a single interoperability resource. In addition, payers were required to use the United States Core Data for Interoperability Standard for data exchange. These requirements were intended to provide patients with access to their own health care data “without special effort.”
As a fortunate byproduct, since EHR vendors are required to implement application program interfaces using the Health Level Seven International (HL7) Fast Healthcare Interoperability Resource (FHIR) Specification, the final rules could enable systems like mCODE to be more easily integrated with existing EHRs.
Lessons from CancerLinQ
ASCO created the health technology platform CancerLinQ in 2014, envisioning that it could become an oncology-focused learning health system – a system in which internal data and experience are systematically integrated with external evidence, allowing knowledge to be put into practice.
CancerLinQ extracts data from EHRs and other sources via direct software connections. CancerLinQ then aggregates, harmonizes, and normalizes the data in a cloud-based environment.
The data are available to participating practices for quality improvement in patient care and secondary research. In 2020, records of cancer patients in the CancerLinQ database surpassed 2 million.
CancerLinQ has been successful. However, because of the nature of the EHR ecosystem and the scope and variability of data capture by clinicians, supporting a true learning health system has proven to be a formidable task. Postprocessing manual review using trained human curators is laborious and unsustainable.
The CancerLinQ experience illustrated that basic cancer-pertinent data should be standardized in the EHR and collected prospectively.
The mCODE model
The mCODE initiative seeks to facilitate progress in care quality, clinical research, and health care policy by developing and maintaining a standard, computable, interoperable data format.
Guiding principles that were adopted early in mCODE’s development included:
- A collaborative, noncommercial, use case–driven developmental model.
- Iterative processes.
- User-driven development, refinement, and maintenance.
- Low ongoing maintenance requirements.
A foundational moment in mCODE’s development involved achieving consensus among stakeholders that the project would fail if EHR vendors required additional data entry by users.
After pilot work, a real-world endpoints project, working-group deliberation, public comment, and refinement, the final data standard included six primary domains: patient, disease, laboratory data/vital signs, genomics, treatment, and outcome.
Each domain is further divided into several concepts with specific associated data elements. The data elements are modeled into value sets that specify the possible values for the data element.
To test mCODE, eight organizations representing oncology EHR vendors, standards developers, and research organizations participated in a cancer interoperability track. The comments helped refine mCODE version 1.0, which was released in March 2020 and is accessible via the mCODE website.
Additions will likely be reviewed by a technical review group after external piloting of new use cases.
Innovation, not regulation
Every interaction between a patient and care provider yields information that could lead to improved safety and better outcomes. To be successful, the information must be collected in a computable format so it can be aggregated with data from other patients, analyzed without manual curation, and shared through interoperable systems. Those data should also be secure enough to protect the privacy of individual patients.
mCODE is a consensus data standard for oncology that provides an infrastructure to share patient data between oncology practices and health care systems while promising little to no additional data entry on the part of clinicians. Adoption by sites will be critical, however.
Publishing the standard through the HL7 FHIR technology demonstrated to EHR vendors and regulatory agencies the stability of HL7, an essential requirement for its incorporation into software.
EHR vendors and others are engaged in the CodeX HL7 FHIR Accelerator to design projects to expand and/or modify mCODE. Their creativity and innovativeness via the external advisory mCODE council and/or CodeX will be encouraged to help mCODE reach its full potential.
As part of CodeX, the Community of Practice, an open forum for end users, was established to provide regular updates about mCODE-related initiatives and use cases to solicit in-progress input, according to Robert S. Miller, MD, medical director of CancerLinQ and an author of the mCODE review.
For mCODE to be embraced by all stakeholders, there should be no additional regulations. By engaging stakeholders in an enterprise that supports innovation and collaboration – without additional regulation – mCODE could maximize the potential of EHRs that, until now, have assisted us only marginally in accomplishing those goals.
mCODE is a joint venture of ASCO/CancerLinQ, the Alliance for Clinical Trials in Oncology Foundation, the MITRE Corporation, the American Society for Radiation Oncology, and the Society of Surgical Oncology.
Dr. Osterman disclosed a grant from the National Cancer Institute and relationships with Infostratix, eHealth, AstraZeneca, Outcomes Insights, Biodesix, MD Outlook, GenomOncology, Cota Healthcare, GE Healthcare, and Microsoft. Dr. Miller and the third review author disclosed no conflicts of interest.
Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.
An initiative designed to improve sharing of patient data may provide “tremendous benefits” in cancer care and research, according to authors of a review article.
The goals of the initiative, called Minimal Common Oncology Data Elements (mCODE), were to identify the data elements in electronic health records that are “essential” for making treatment decisions and create “a standardized computable data format” that would improve the exchange of data across EHRs, according to the mCODE website.
Travis J. Osterman, DO, of Vanderbilt University Medical Center in Nashville, Tenn., and colleagues described the mCODE initiative in a review published in JCO Clinical Cancer Informatics.
At present, commercially available EHRs are poorly designed to support modern oncology workflow, requiring laborious data entry and lacking a common library of oncology-specific discrete data elements. As an example, most EHRs poorly support the needs of precision oncology and clinical genetics, since next-generation sequencing and genetic test results are almost universally reported in PDF files.
In addition, basic, operational oncology data (e.g., cancer staging, adverse event documentation, response to treatment, etc.) are captured in EHRs primarily as an unstructured narrative.
Computable, analytical data are found for only the small percentage of patients in clinical trials. Even then, some degree of manual data abstraction is regularly required.
Interoperability of EHRs between practices and health care institutions is often so poor that the transfer of basic cancer-related information as analyzable data is difficult or even impossible.
Making progress: The 21st Century Cures Act
The American Society of Clinical Oncology has a more than 15-year history of developing oncology data standards. Unfortunately, progress in implementing these standards has been glacially slow. Impediments have included:
- A lack of conformance with clinical workflows.
- Failure to test standards on specific-use cases during pilot testing.
- A focus on data exchange, rather than the practical impediments to data entry.
- Poor engagement with EHR vendors in distributing clinical information modules with an oncology-specific focus
- Instability of data interoperability technologies.
The 21st Century Cures Act, which became law in December 2016, mandated improvement in the interoperability of health information through the development of data standards and application programming interfaces.
In early 2020, final rules for implementation required technology vendors to employ application programming interfaces using a single interoperability resource. In addition, payers were required to use the United States Core Data for Interoperability Standard for data exchange. These requirements were intended to provide patients with access to their own health care data “without special effort.”
As a fortunate byproduct, since EHR vendors are required to implement application program interfaces using the Health Level Seven International (HL7) Fast Healthcare Interoperability Resource (FHIR) Specification, the final rules could enable systems like mCODE to be more easily integrated with existing EHRs.
Lessons from CancerLinQ
ASCO created the health technology platform CancerLinQ in 2014, envisioning that it could become an oncology-focused learning health system – a system in which internal data and experience are systematically integrated with external evidence, allowing knowledge to be put into practice.
CancerLinQ extracts data from EHRs and other sources via direct software connections. CancerLinQ then aggregates, harmonizes, and normalizes the data in a cloud-based environment.
The data are available to participating practices for quality improvement in patient care and secondary research. In 2020, records of cancer patients in the CancerLinQ database surpassed 2 million.
CancerLinQ has been successful. However, because of the nature of the EHR ecosystem and the scope and variability of data capture by clinicians, supporting a true learning health system has proven to be a formidable task. Postprocessing manual review using trained human curators is laborious and unsustainable.
The CancerLinQ experience illustrated that basic cancer-pertinent data should be standardized in the EHR and collected prospectively.
The mCODE model
The mCODE initiative seeks to facilitate progress in care quality, clinical research, and health care policy by developing and maintaining a standard, computable, interoperable data format.
Guiding principles that were adopted early in mCODE’s development included:
- A collaborative, noncommercial, use case–driven developmental model.
- Iterative processes.
- User-driven development, refinement, and maintenance.
- Low ongoing maintenance requirements.
A foundational moment in mCODE’s development involved achieving consensus among stakeholders that the project would fail if EHR vendors required additional data entry by users.
After pilot work, a real-world endpoints project, working-group deliberation, public comment, and refinement, the final data standard included six primary domains: patient, disease, laboratory data/vital signs, genomics, treatment, and outcome.
Each domain is further divided into several concepts with specific associated data elements. The data elements are modeled into value sets that specify the possible values for the data element.
To test mCODE, eight organizations representing oncology EHR vendors, standards developers, and research organizations participated in a cancer interoperability track. The comments helped refine mCODE version 1.0, which was released in March 2020 and is accessible via the mCODE website.
Additions will likely be reviewed by a technical review group after external piloting of new use cases.
Innovation, not regulation
Every interaction between a patient and care provider yields information that could lead to improved safety and better outcomes. To be successful, the information must be collected in a computable format so it can be aggregated with data from other patients, analyzed without manual curation, and shared through interoperable systems. Those data should also be secure enough to protect the privacy of individual patients.
mCODE is a consensus data standard for oncology that provides an infrastructure to share patient data between oncology practices and health care systems while promising little to no additional data entry on the part of clinicians. Adoption by sites will be critical, however.
Publishing the standard through the HL7 FHIR technology demonstrated to EHR vendors and regulatory agencies the stability of HL7, an essential requirement for its incorporation into software.
EHR vendors and others are engaged in the CodeX HL7 FHIR Accelerator to design projects to expand and/or modify mCODE. Their creativity and innovativeness via the external advisory mCODE council and/or CodeX will be encouraged to help mCODE reach its full potential.
As part of CodeX, the Community of Practice, an open forum for end users, was established to provide regular updates about mCODE-related initiatives and use cases to solicit in-progress input, according to Robert S. Miller, MD, medical director of CancerLinQ and an author of the mCODE review.
For mCODE to be embraced by all stakeholders, there should be no additional regulations. By engaging stakeholders in an enterprise that supports innovation and collaboration – without additional regulation – mCODE could maximize the potential of EHRs that, until now, have assisted us only marginally in accomplishing those goals.
mCODE is a joint venture of ASCO/CancerLinQ, the Alliance for Clinical Trials in Oncology Foundation, the MITRE Corporation, the American Society for Radiation Oncology, and the Society of Surgical Oncology.
Dr. Osterman disclosed a grant from the National Cancer Institute and relationships with Infostratix, eHealth, AstraZeneca, Outcomes Insights, Biodesix, MD Outlook, GenomOncology, Cota Healthcare, GE Healthcare, and Microsoft. Dr. Miller and the third review author disclosed no conflicts of interest.
Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.
An initiative designed to improve sharing of patient data may provide “tremendous benefits” in cancer care and research, according to authors of a review article.
The goals of the initiative, called Minimal Common Oncology Data Elements (mCODE), were to identify the data elements in electronic health records that are “essential” for making treatment decisions and create “a standardized computable data format” that would improve the exchange of data across EHRs, according to the mCODE website.
Travis J. Osterman, DO, of Vanderbilt University Medical Center in Nashville, Tenn., and colleagues described the mCODE initiative in a review published in JCO Clinical Cancer Informatics.
At present, commercially available EHRs are poorly designed to support modern oncology workflow, requiring laborious data entry and lacking a common library of oncology-specific discrete data elements. As an example, most EHRs poorly support the needs of precision oncology and clinical genetics, since next-generation sequencing and genetic test results are almost universally reported in PDF files.
In addition, basic, operational oncology data (e.g., cancer staging, adverse event documentation, response to treatment, etc.) are captured in EHRs primarily as an unstructured narrative.
Computable, analytical data are found for only the small percentage of patients in clinical trials. Even then, some degree of manual data abstraction is regularly required.
Interoperability of EHRs between practices and health care institutions is often so poor that the transfer of basic cancer-related information as analyzable data is difficult or even impossible.
Making progress: The 21st Century Cures Act
The American Society of Clinical Oncology has a more than 15-year history of developing oncology data standards. Unfortunately, progress in implementing these standards has been glacially slow. Impediments have included:
- A lack of conformance with clinical workflows.
- Failure to test standards on specific-use cases during pilot testing.
- A focus on data exchange, rather than the practical impediments to data entry.
- Poor engagement with EHR vendors in distributing clinical information modules with an oncology-specific focus
- Instability of data interoperability technologies.
The 21st Century Cures Act, which became law in December 2016, mandated improvement in the interoperability of health information through the development of data standards and application programming interfaces.
In early 2020, final rules for implementation required technology vendors to employ application programming interfaces using a single interoperability resource. In addition, payers were required to use the United States Core Data for Interoperability Standard for data exchange. These requirements were intended to provide patients with access to their own health care data “without special effort.”
As a fortunate byproduct, since EHR vendors are required to implement application program interfaces using the Health Level Seven International (HL7) Fast Healthcare Interoperability Resource (FHIR) Specification, the final rules could enable systems like mCODE to be more easily integrated with existing EHRs.
Lessons from CancerLinQ
ASCO created the health technology platform CancerLinQ in 2014, envisioning that it could become an oncology-focused learning health system – a system in which internal data and experience are systematically integrated with external evidence, allowing knowledge to be put into practice.
CancerLinQ extracts data from EHRs and other sources via direct software connections. CancerLinQ then aggregates, harmonizes, and normalizes the data in a cloud-based environment.
The data are available to participating practices for quality improvement in patient care and secondary research. In 2020, records of cancer patients in the CancerLinQ database surpassed 2 million.
CancerLinQ has been successful. However, because of the nature of the EHR ecosystem and the scope and variability of data capture by clinicians, supporting a true learning health system has proven to be a formidable task. Postprocessing manual review using trained human curators is laborious and unsustainable.
The CancerLinQ experience illustrated that basic cancer-pertinent data should be standardized in the EHR and collected prospectively.
The mCODE model
The mCODE initiative seeks to facilitate progress in care quality, clinical research, and health care policy by developing and maintaining a standard, computable, interoperable data format.
Guiding principles that were adopted early in mCODE’s development included:
- A collaborative, noncommercial, use case–driven developmental model.
- Iterative processes.
- User-driven development, refinement, and maintenance.
- Low ongoing maintenance requirements.
A foundational moment in mCODE’s development involved achieving consensus among stakeholders that the project would fail if EHR vendors required additional data entry by users.
After pilot work, a real-world endpoints project, working-group deliberation, public comment, and refinement, the final data standard included six primary domains: patient, disease, laboratory data/vital signs, genomics, treatment, and outcome.
Each domain is further divided into several concepts with specific associated data elements. The data elements are modeled into value sets that specify the possible values for the data element.
To test mCODE, eight organizations representing oncology EHR vendors, standards developers, and research organizations participated in a cancer interoperability track. The comments helped refine mCODE version 1.0, which was released in March 2020 and is accessible via the mCODE website.
Additions will likely be reviewed by a technical review group after external piloting of new use cases.
Innovation, not regulation
Every interaction between a patient and care provider yields information that could lead to improved safety and better outcomes. To be successful, the information must be collected in a computable format so it can be aggregated with data from other patients, analyzed without manual curation, and shared through interoperable systems. Those data should also be secure enough to protect the privacy of individual patients.
mCODE is a consensus data standard for oncology that provides an infrastructure to share patient data between oncology practices and health care systems while promising little to no additional data entry on the part of clinicians. Adoption by sites will be critical, however.
Publishing the standard through the HL7 FHIR technology demonstrated to EHR vendors and regulatory agencies the stability of HL7, an essential requirement for its incorporation into software.
EHR vendors and others are engaged in the CodeX HL7 FHIR Accelerator to design projects to expand and/or modify mCODE. Their creativity and innovativeness via the external advisory mCODE council and/or CodeX will be encouraged to help mCODE reach its full potential.
As part of CodeX, the Community of Practice, an open forum for end users, was established to provide regular updates about mCODE-related initiatives and use cases to solicit in-progress input, according to Robert S. Miller, MD, medical director of CancerLinQ and an author of the mCODE review.
For mCODE to be embraced by all stakeholders, there should be no additional regulations. By engaging stakeholders in an enterprise that supports innovation and collaboration – without additional regulation – mCODE could maximize the potential of EHRs that, until now, have assisted us only marginally in accomplishing those goals.
mCODE is a joint venture of ASCO/CancerLinQ, the Alliance for Clinical Trials in Oncology Foundation, the MITRE Corporation, the American Society for Radiation Oncology, and the Society of Surgical Oncology.
Dr. Osterman disclosed a grant from the National Cancer Institute and relationships with Infostratix, eHealth, AstraZeneca, Outcomes Insights, Biodesix, MD Outlook, GenomOncology, Cota Healthcare, GE Healthcare, and Microsoft. Dr. Miller and the third review author disclosed no conflicts of interest.
Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.
FROM JCO CLINICAL CANCER INFORMATICS
How has the pandemic affected rural and urban cancer patients?
Research has shown that, compared with their urban counterparts, rural cancer patients have higher cancer-related mortality and other negative treatment outcomes.
Among other explanations, the disparity has been attributed to lower education and income levels, medical and behavioral risk factors, differences in health literacy, and lower confidence in the medical system among rural residents (JCO Oncol Pract. 2020 Jul;16(7):422-30).
A new survey has provided some insight into how the COVID-19 pandemic has impacted rural and urban cancer patients differently.
The survey showed that urban patients were more likely to report changes to their daily lives, thought themselves more likely to become infected with SARS-CoV-2, and were more likely to take measures to mitigate the risk of infection. However, there were no major differences between urban and rural patients with regard to changes in social interaction.
Bailee Daniels of the University of Utah in Salt Lake City, presented these results at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S04-03).
The COVID-19 and Oncology Patient Experience Consortium
Ms. Daniels explained that the COVID-19 and Oncology Patient Experience (COPES) Consortium was created to investigate various aspects of the patient experience during the pandemic. Three cancer centers – Moffitt Cancer Center, Huntsman Cancer Institute, and the Sylvester Comprehensive Cancer Center – participate in COPES.
At Huntsman, investigators studied social and health behaviors of cancer patients to assess whether there was a difference between those from rural and urban areas. The researchers looked at the impact of the pandemic on psychosocial outcomes, preventive measures patients implemented, and their perceptions of the risk of SARS-CoV-2 infection.
The team’s hypothesis was that rural patients might be more vulnerable than urban patients to the effects of social isolation, emotional distress, and health-adverse behaviors, but the investigators noted that there has been no prior research on the topic.
Assessing behaviors, attitudes, and outcomes
Between August and September 2020, the researchers surveyed 1,328 adult cancer patients who had visited Huntsman in the previous 4 years and who were enrolled in Huntsman’s Total Cancer Care or Precision Exercise Prescription studies.
Patients completed questionnaires that encompassed demographic and clinical factors, employment status, health behaviors, and infection preventive measures. Questionnaires were provided in electronic, paper, or phone-based formats. Information regarding age, race, ethnicity, and tumor stage was abstracted from Huntsman’s electronic health record.
Modifications in daily life and social interaction were assessed on a 5-point scale. Changes in exercise habits and alcohol consumption were assessed on a 3-point scale. Infection mitigation measures (the use of face masks and hand sanitizer) and perceptions about the likelihood of SARS-CoV-2 infection were measured.
The rural-urban community area codes system, which classifies U.S. census tracts by measures of population density, urbanization, and daily commuting, was utilized to categorize patients into rural and urban residences.
Characteristics of urban and rural cancer patients
There were 997 urban and 331 rural participants. The mean age was 60.1 years in the urban population and 62.6 years in the rural population (P = .01). There were no urban-rural differences in sex, ethnicity, cancer stage, or body mass index.
More urban than rural participants were employed full- or part-time (45% vs. 37%; P = .045). The rural counties had more patients who were not currently employed, primarily due to retirement (77% vs. 69% urban; P < .001).
“No health insurance coverage” was reported by 2% of urban and 4% of rural participants (P = .009), and 85% of all patients reported “good” to “excellent” overall health. Cancer patients in rural counties were significantly more likely to have ever smoked (37% vs. 25% urban; P = .001). In addition, alcohol consumption in the previous year was higher in rural patients. “Every day to less than once monthly” alcohol usage was reported by 44% of urban and 60% of rural patients (P < .001).
Changes in daily life and health-related behavior during the pandemic
Urban patients were more likely to report changes in their daily lives due to the pandemic. Specifically, 35% of urban patients and 26% of rural patients said the pandemic had changed their daily life “a lot” (P = .001).
However, there were no major differences between urban and rural patients when it came to changes in social interaction in the past month or feeling lonely in the past month (P = .45 and P = .88, respectively). Similarly, there were no significant differences for changes in alcohol consumption between the groups (P = .90).
Changes in exercise habits due to the pandemic were more common among patients in urban counties (51% vs. 39% rural; P < .001), though similar percentages of patients reported exercising less (44% urban vs. 45% rural) or more frequently (24% urban vs. 20% rural).
In terms of infection mitigation measures, urban patients were more likely to use face masks “very often” (83% vs. 66% rural; P < .001), while hand sanitizer was used “very often” among 66% of urban and 57% of rural participants (P = .05).
Urban participants were more likely than were their rural counterparts to think themselves “somewhat” or “very” likely to develop COVID-19 (22% vs. 14%; P = .04).
It might be short-sighted for oncology and public health specialists to be dismissive of differences in infection mitigation behaviors and perceptions of vulnerability to SARS-CoV-2 infection. Those behaviors and perceptions of risk could lead to lower vaccination rates in rural areas. If that occurs, there would be major negative consequences for the long-term health of rural communities and their medically vulnerable residents.
Future directions
Although the first 6 months of the COVID-19 pandemic had disparate effects on cancer patients living in rural and urban counties, the reasons for the disparities are complex and not easily explained by this study.
It is possible that sequential administration of the survey during the pandemic would have uncovered greater variances in attitude and health-related behaviors.
As Ms. Daniels noted, when the survey was performed, Utah had not experienced a high frequency of COVID-19 cases. Furthermore, different levels of restrictions were implemented on a county-by-county basis, potentially influencing patients’ behaviors, psychosocial adjustment, and perceptions of risk.
In addition, there may have been differences in unmeasured endpoints (infection rates, medical care utilization via telemedicine, hospitalization rates, late effects, and mortality) between the urban and rural populations.
As the investigators concluded, further research is needed to better characterize the pandemic’s short- and long-term effects on cancer patients in rural and urban settings and appropriate interventions. Such studies may yield insights into the various facets of the well-documented “rural health gap” in cancer outcomes and interventions that could narrow the gap in spheres beyond the COVID-19 pandemic.
Ms. Daniels reported having no relevant disclosures.
Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.
Research has shown that, compared with their urban counterparts, rural cancer patients have higher cancer-related mortality and other negative treatment outcomes.
Among other explanations, the disparity has been attributed to lower education and income levels, medical and behavioral risk factors, differences in health literacy, and lower confidence in the medical system among rural residents (JCO Oncol Pract. 2020 Jul;16(7):422-30).
A new survey has provided some insight into how the COVID-19 pandemic has impacted rural and urban cancer patients differently.
The survey showed that urban patients were more likely to report changes to their daily lives, thought themselves more likely to become infected with SARS-CoV-2, and were more likely to take measures to mitigate the risk of infection. However, there were no major differences between urban and rural patients with regard to changes in social interaction.
Bailee Daniels of the University of Utah in Salt Lake City, presented these results at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S04-03).
The COVID-19 and Oncology Patient Experience Consortium
Ms. Daniels explained that the COVID-19 and Oncology Patient Experience (COPES) Consortium was created to investigate various aspects of the patient experience during the pandemic. Three cancer centers – Moffitt Cancer Center, Huntsman Cancer Institute, and the Sylvester Comprehensive Cancer Center – participate in COPES.
At Huntsman, investigators studied social and health behaviors of cancer patients to assess whether there was a difference between those from rural and urban areas. The researchers looked at the impact of the pandemic on psychosocial outcomes, preventive measures patients implemented, and their perceptions of the risk of SARS-CoV-2 infection.
The team’s hypothesis was that rural patients might be more vulnerable than urban patients to the effects of social isolation, emotional distress, and health-adverse behaviors, but the investigators noted that there has been no prior research on the topic.
Assessing behaviors, attitudes, and outcomes
Between August and September 2020, the researchers surveyed 1,328 adult cancer patients who had visited Huntsman in the previous 4 years and who were enrolled in Huntsman’s Total Cancer Care or Precision Exercise Prescription studies.
Patients completed questionnaires that encompassed demographic and clinical factors, employment status, health behaviors, and infection preventive measures. Questionnaires were provided in electronic, paper, or phone-based formats. Information regarding age, race, ethnicity, and tumor stage was abstracted from Huntsman’s electronic health record.
Modifications in daily life and social interaction were assessed on a 5-point scale. Changes in exercise habits and alcohol consumption were assessed on a 3-point scale. Infection mitigation measures (the use of face masks and hand sanitizer) and perceptions about the likelihood of SARS-CoV-2 infection were measured.
The rural-urban community area codes system, which classifies U.S. census tracts by measures of population density, urbanization, and daily commuting, was utilized to categorize patients into rural and urban residences.
Characteristics of urban and rural cancer patients
There were 997 urban and 331 rural participants. The mean age was 60.1 years in the urban population and 62.6 years in the rural population (P = .01). There were no urban-rural differences in sex, ethnicity, cancer stage, or body mass index.
More urban than rural participants were employed full- or part-time (45% vs. 37%; P = .045). The rural counties had more patients who were not currently employed, primarily due to retirement (77% vs. 69% urban; P < .001).
“No health insurance coverage” was reported by 2% of urban and 4% of rural participants (P = .009), and 85% of all patients reported “good” to “excellent” overall health. Cancer patients in rural counties were significantly more likely to have ever smoked (37% vs. 25% urban; P = .001). In addition, alcohol consumption in the previous year was higher in rural patients. “Every day to less than once monthly” alcohol usage was reported by 44% of urban and 60% of rural patients (P < .001).
Changes in daily life and health-related behavior during the pandemic
Urban patients were more likely to report changes in their daily lives due to the pandemic. Specifically, 35% of urban patients and 26% of rural patients said the pandemic had changed their daily life “a lot” (P = .001).
However, there were no major differences between urban and rural patients when it came to changes in social interaction in the past month or feeling lonely in the past month (P = .45 and P = .88, respectively). Similarly, there were no significant differences for changes in alcohol consumption between the groups (P = .90).
Changes in exercise habits due to the pandemic were more common among patients in urban counties (51% vs. 39% rural; P < .001), though similar percentages of patients reported exercising less (44% urban vs. 45% rural) or more frequently (24% urban vs. 20% rural).
In terms of infection mitigation measures, urban patients were more likely to use face masks “very often” (83% vs. 66% rural; P < .001), while hand sanitizer was used “very often” among 66% of urban and 57% of rural participants (P = .05).
Urban participants were more likely than were their rural counterparts to think themselves “somewhat” or “very” likely to develop COVID-19 (22% vs. 14%; P = .04).
It might be short-sighted for oncology and public health specialists to be dismissive of differences in infection mitigation behaviors and perceptions of vulnerability to SARS-CoV-2 infection. Those behaviors and perceptions of risk could lead to lower vaccination rates in rural areas. If that occurs, there would be major negative consequences for the long-term health of rural communities and their medically vulnerable residents.
Future directions
Although the first 6 months of the COVID-19 pandemic had disparate effects on cancer patients living in rural and urban counties, the reasons for the disparities are complex and not easily explained by this study.
It is possible that sequential administration of the survey during the pandemic would have uncovered greater variances in attitude and health-related behaviors.
As Ms. Daniels noted, when the survey was performed, Utah had not experienced a high frequency of COVID-19 cases. Furthermore, different levels of restrictions were implemented on a county-by-county basis, potentially influencing patients’ behaviors, psychosocial adjustment, and perceptions of risk.
In addition, there may have been differences in unmeasured endpoints (infection rates, medical care utilization via telemedicine, hospitalization rates, late effects, and mortality) between the urban and rural populations.
As the investigators concluded, further research is needed to better characterize the pandemic’s short- and long-term effects on cancer patients in rural and urban settings and appropriate interventions. Such studies may yield insights into the various facets of the well-documented “rural health gap” in cancer outcomes and interventions that could narrow the gap in spheres beyond the COVID-19 pandemic.
Ms. Daniels reported having no relevant disclosures.
Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.
Research has shown that, compared with their urban counterparts, rural cancer patients have higher cancer-related mortality and other negative treatment outcomes.
Among other explanations, the disparity has been attributed to lower education and income levels, medical and behavioral risk factors, differences in health literacy, and lower confidence in the medical system among rural residents (JCO Oncol Pract. 2020 Jul;16(7):422-30).
A new survey has provided some insight into how the COVID-19 pandemic has impacted rural and urban cancer patients differently.
The survey showed that urban patients were more likely to report changes to their daily lives, thought themselves more likely to become infected with SARS-CoV-2, and were more likely to take measures to mitigate the risk of infection. However, there were no major differences between urban and rural patients with regard to changes in social interaction.
Bailee Daniels of the University of Utah in Salt Lake City, presented these results at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S04-03).
The COVID-19 and Oncology Patient Experience Consortium
Ms. Daniels explained that the COVID-19 and Oncology Patient Experience (COPES) Consortium was created to investigate various aspects of the patient experience during the pandemic. Three cancer centers – Moffitt Cancer Center, Huntsman Cancer Institute, and the Sylvester Comprehensive Cancer Center – participate in COPES.
At Huntsman, investigators studied social and health behaviors of cancer patients to assess whether there was a difference between those from rural and urban areas. The researchers looked at the impact of the pandemic on psychosocial outcomes, preventive measures patients implemented, and their perceptions of the risk of SARS-CoV-2 infection.
The team’s hypothesis was that rural patients might be more vulnerable than urban patients to the effects of social isolation, emotional distress, and health-adverse behaviors, but the investigators noted that there has been no prior research on the topic.
Assessing behaviors, attitudes, and outcomes
Between August and September 2020, the researchers surveyed 1,328 adult cancer patients who had visited Huntsman in the previous 4 years and who were enrolled in Huntsman’s Total Cancer Care or Precision Exercise Prescription studies.
Patients completed questionnaires that encompassed demographic and clinical factors, employment status, health behaviors, and infection preventive measures. Questionnaires were provided in electronic, paper, or phone-based formats. Information regarding age, race, ethnicity, and tumor stage was abstracted from Huntsman’s electronic health record.
Modifications in daily life and social interaction were assessed on a 5-point scale. Changes in exercise habits and alcohol consumption were assessed on a 3-point scale. Infection mitigation measures (the use of face masks and hand sanitizer) and perceptions about the likelihood of SARS-CoV-2 infection were measured.
The rural-urban community area codes system, which classifies U.S. census tracts by measures of population density, urbanization, and daily commuting, was utilized to categorize patients into rural and urban residences.
Characteristics of urban and rural cancer patients
There were 997 urban and 331 rural participants. The mean age was 60.1 years in the urban population and 62.6 years in the rural population (P = .01). There were no urban-rural differences in sex, ethnicity, cancer stage, or body mass index.
More urban than rural participants were employed full- or part-time (45% vs. 37%; P = .045). The rural counties had more patients who were not currently employed, primarily due to retirement (77% vs. 69% urban; P < .001).
“No health insurance coverage” was reported by 2% of urban and 4% of rural participants (P = .009), and 85% of all patients reported “good” to “excellent” overall health. Cancer patients in rural counties were significantly more likely to have ever smoked (37% vs. 25% urban; P = .001). In addition, alcohol consumption in the previous year was higher in rural patients. “Every day to less than once monthly” alcohol usage was reported by 44% of urban and 60% of rural patients (P < .001).
Changes in daily life and health-related behavior during the pandemic
Urban patients were more likely to report changes in their daily lives due to the pandemic. Specifically, 35% of urban patients and 26% of rural patients said the pandemic had changed their daily life “a lot” (P = .001).
However, there were no major differences between urban and rural patients when it came to changes in social interaction in the past month or feeling lonely in the past month (P = .45 and P = .88, respectively). Similarly, there were no significant differences for changes in alcohol consumption between the groups (P = .90).
Changes in exercise habits due to the pandemic were more common among patients in urban counties (51% vs. 39% rural; P < .001), though similar percentages of patients reported exercising less (44% urban vs. 45% rural) or more frequently (24% urban vs. 20% rural).
In terms of infection mitigation measures, urban patients were more likely to use face masks “very often” (83% vs. 66% rural; P < .001), while hand sanitizer was used “very often” among 66% of urban and 57% of rural participants (P = .05).
Urban participants were more likely than were their rural counterparts to think themselves “somewhat” or “very” likely to develop COVID-19 (22% vs. 14%; P = .04).
It might be short-sighted for oncology and public health specialists to be dismissive of differences in infection mitigation behaviors and perceptions of vulnerability to SARS-CoV-2 infection. Those behaviors and perceptions of risk could lead to lower vaccination rates in rural areas. If that occurs, there would be major negative consequences for the long-term health of rural communities and their medically vulnerable residents.
Future directions
Although the first 6 months of the COVID-19 pandemic had disparate effects on cancer patients living in rural and urban counties, the reasons for the disparities are complex and not easily explained by this study.
It is possible that sequential administration of the survey during the pandemic would have uncovered greater variances in attitude and health-related behaviors.
As Ms. Daniels noted, when the survey was performed, Utah had not experienced a high frequency of COVID-19 cases. Furthermore, different levels of restrictions were implemented on a county-by-county basis, potentially influencing patients’ behaviors, psychosocial adjustment, and perceptions of risk.
In addition, there may have been differences in unmeasured endpoints (infection rates, medical care utilization via telemedicine, hospitalization rates, late effects, and mortality) between the urban and rural populations.
As the investigators concluded, further research is needed to better characterize the pandemic’s short- and long-term effects on cancer patients in rural and urban settings and appropriate interventions. Such studies may yield insights into the various facets of the well-documented “rural health gap” in cancer outcomes and interventions that could narrow the gap in spheres beyond the COVID-19 pandemic.
Ms. Daniels reported having no relevant disclosures.
Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.
FROM AACR: COVID-19 AND CANCER 2021
CXR-Net: An AI-based diagnostic tool for COVID-19
The system, called CXR-Net, was trained to differentiate SARS-CoV-2 chest x-rays (CXRs) from CXRs that are either normal or non–COVID-19 lung pathologies, explained Abdulah Haikal, an MD candidate at Wayne State University, Detroit.
Mr. Haikal described CXR-Net at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S11-04).
CXR-Net is a two-module pipeline, Mr. Haikal explained. Module I is based on Res-CR-Net, a type of neural network originally designed for the semantic segmentation of microscopy images, with the ability to retain the original resolution of the input images in the feature maps of all layers and in the final output.
Module II is a hybrid convolutional neural network in which the first convolutional layer with learned coefficients is replaced by a layer with fixed coefficients provided by the Wavelet Scattering Transform. Module II inputs patients’ CXRs and corresponding lung masks quantified by Module I, and generates as outputs a class assignment (COVID-19 or non–COVID-19) and high-resolution heat maps that detect the severe acute respiratory syndrome–-associated lung regions.
“The system is trained to differentiate COVID and non-COVID pathologies and produces a highly discriminative heat map to point to lung regions where COVID is suspected,” Mr. Haikal said. “The Wavelet Scattering Transform allows for fast determination of COVID versus non-COVID CXRs.”
Preliminary results and implications
CXR-Net was piloted on a small dataset of CXRs from non–COVID-19 and polymerase chain reaction–confirmed COVID-19 patients acquired at a single center in Detroit.
Upon fivefold cross validation of the training set with 2,265 images, 90% accuracy was observed when the training set was tested against the validation set. However, once 1,532 new images were introduced, a 76% accuracy rate was observed.
The F1 scores were 0.81 and 0.70 for the training and test sets, respectively.
“I’m really excited about this new approach, and I think AI will allow us to do more with less, which is exciting,” said Ross L. Levine, MD, of Memorial Sloan Kettering Cancer Center in New York, who led a discussion session with Mr. Haikal about CXR-Net.
One question raised during the discussion was whether the technology will help health care providers be more thoughtful about when and how they image COVID-19 patients.
“The more data you feed into the system, the stronger and more accurate it becomes,” Mr. Haikal said. “However, until we have data sharing from multiple centers, we won’t see improved accuracy results.”
Another question was whether this technology could be integrated with more clinical parameters.
“Some individuals are afraid that AI will replace the job of a professional, but it will only make it better for us,” Mr. Haikal said. “We don’t rely on current imaging techniques to make a definitive diagnosis, but rather have a specificity and sensitivity to establish a diagnosis, and AI can be used in the same way as a diagnostic tool.”
Mr. Haikal and Dr. Levine disclosed no conflicts of interest. No funding sources were reported in the presentation.
The system, called CXR-Net, was trained to differentiate SARS-CoV-2 chest x-rays (CXRs) from CXRs that are either normal or non–COVID-19 lung pathologies, explained Abdulah Haikal, an MD candidate at Wayne State University, Detroit.
Mr. Haikal described CXR-Net at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S11-04).
CXR-Net is a two-module pipeline, Mr. Haikal explained. Module I is based on Res-CR-Net, a type of neural network originally designed for the semantic segmentation of microscopy images, with the ability to retain the original resolution of the input images in the feature maps of all layers and in the final output.
Module II is a hybrid convolutional neural network in which the first convolutional layer with learned coefficients is replaced by a layer with fixed coefficients provided by the Wavelet Scattering Transform. Module II inputs patients’ CXRs and corresponding lung masks quantified by Module I, and generates as outputs a class assignment (COVID-19 or non–COVID-19) and high-resolution heat maps that detect the severe acute respiratory syndrome–-associated lung regions.
“The system is trained to differentiate COVID and non-COVID pathologies and produces a highly discriminative heat map to point to lung regions where COVID is suspected,” Mr. Haikal said. “The Wavelet Scattering Transform allows for fast determination of COVID versus non-COVID CXRs.”
Preliminary results and implications
CXR-Net was piloted on a small dataset of CXRs from non–COVID-19 and polymerase chain reaction–confirmed COVID-19 patients acquired at a single center in Detroit.
Upon fivefold cross validation of the training set with 2,265 images, 90% accuracy was observed when the training set was tested against the validation set. However, once 1,532 new images were introduced, a 76% accuracy rate was observed.
The F1 scores were 0.81 and 0.70 for the training and test sets, respectively.
“I’m really excited about this new approach, and I think AI will allow us to do more with less, which is exciting,” said Ross L. Levine, MD, of Memorial Sloan Kettering Cancer Center in New York, who led a discussion session with Mr. Haikal about CXR-Net.
One question raised during the discussion was whether the technology will help health care providers be more thoughtful about when and how they image COVID-19 patients.
“The more data you feed into the system, the stronger and more accurate it becomes,” Mr. Haikal said. “However, until we have data sharing from multiple centers, we won’t see improved accuracy results.”
Another question was whether this technology could be integrated with more clinical parameters.
“Some individuals are afraid that AI will replace the job of a professional, but it will only make it better for us,” Mr. Haikal said. “We don’t rely on current imaging techniques to make a definitive diagnosis, but rather have a specificity and sensitivity to establish a diagnosis, and AI can be used in the same way as a diagnostic tool.”
Mr. Haikal and Dr. Levine disclosed no conflicts of interest. No funding sources were reported in the presentation.
The system, called CXR-Net, was trained to differentiate SARS-CoV-2 chest x-rays (CXRs) from CXRs that are either normal or non–COVID-19 lung pathologies, explained Abdulah Haikal, an MD candidate at Wayne State University, Detroit.
Mr. Haikal described CXR-Net at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S11-04).
CXR-Net is a two-module pipeline, Mr. Haikal explained. Module I is based on Res-CR-Net, a type of neural network originally designed for the semantic segmentation of microscopy images, with the ability to retain the original resolution of the input images in the feature maps of all layers and in the final output.
Module II is a hybrid convolutional neural network in which the first convolutional layer with learned coefficients is replaced by a layer with fixed coefficients provided by the Wavelet Scattering Transform. Module II inputs patients’ CXRs and corresponding lung masks quantified by Module I, and generates as outputs a class assignment (COVID-19 or non–COVID-19) and high-resolution heat maps that detect the severe acute respiratory syndrome–-associated lung regions.
“The system is trained to differentiate COVID and non-COVID pathologies and produces a highly discriminative heat map to point to lung regions where COVID is suspected,” Mr. Haikal said. “The Wavelet Scattering Transform allows for fast determination of COVID versus non-COVID CXRs.”
Preliminary results and implications
CXR-Net was piloted on a small dataset of CXRs from non–COVID-19 and polymerase chain reaction–confirmed COVID-19 patients acquired at a single center in Detroit.
Upon fivefold cross validation of the training set with 2,265 images, 90% accuracy was observed when the training set was tested against the validation set. However, once 1,532 new images were introduced, a 76% accuracy rate was observed.
The F1 scores were 0.81 and 0.70 for the training and test sets, respectively.
“I’m really excited about this new approach, and I think AI will allow us to do more with less, which is exciting,” said Ross L. Levine, MD, of Memorial Sloan Kettering Cancer Center in New York, who led a discussion session with Mr. Haikal about CXR-Net.
One question raised during the discussion was whether the technology will help health care providers be more thoughtful about when and how they image COVID-19 patients.
“The more data you feed into the system, the stronger and more accurate it becomes,” Mr. Haikal said. “However, until we have data sharing from multiple centers, we won’t see improved accuracy results.”
Another question was whether this technology could be integrated with more clinical parameters.
“Some individuals are afraid that AI will replace the job of a professional, but it will only make it better for us,” Mr. Haikal said. “We don’t rely on current imaging techniques to make a definitive diagnosis, but rather have a specificity and sensitivity to establish a diagnosis, and AI can be used in the same way as a diagnostic tool.”
Mr. Haikal and Dr. Levine disclosed no conflicts of interest. No funding sources were reported in the presentation.
FROM AACR: COVID-19 AND CANCER 2021
Asymptomatic screening for COVID-19 in cancer patients still debated
Of more than 2,000 patients, less than 1% were found to be COVID-19 positive on asymptomatic screening, an investigator reported at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S09-04).
While several models have been proposed to screen for COVID-19 among cancer patients, the optimal strategy remains unknown, said investigator Justin A. Shaya, MD, of the University of California, San Diego.
The most commonly used approach is symptom/exposure-based screening and testing. However, other models have combined this method with polymerase chain reaction (PCR) testing for asymptomatic high-risk patients (such as those undergoing bone marrow transplant, receiving chemotherapy, or with hematologic malignancies) or with PCR testing for all asymptomatic cancer patients.
Dr. Shaya’s institution implemented a novel COVID-19 screening protocol for cancer patients receiving infusional therapy in May 2020.
The protocol required SARS-CoV-2 PCR testing for asymptomatic patients 24-96 hours prior to infusion. However, testing was only required before the administration of anticancer therapy. Infusion visits for supportive care interventions did not require previsit testing.
The researchers retrospectively analyzed data from patients with active cancer receiving infusional anticancer therapy who had at least one asymptomatic SARS-CoV-2 PCR test between June 1 and Dec. 1, 2020. The primary outcome was the rate of COVID-19 positivity among asymptomatic patients.
Results
Among 2,202 patients identified, 21 (0.95%) were found to be COVID-19 positive on asymptomatic screening. Most of these patients (90.5%) had solid tumors, but two (9.5%) had hematologic malignancies.
With respect to treatment, 16 patients (76.2%) received cytotoxic chemotherapy, 2 (9.5%) received targeted therapy, 1 (4.7%) received immunotherapy, and 2 (9.5%) were on a clinical trial.
At a median follow-up of 174 days from a positive PCR test (range, 55-223 days), only two patients (9.5%) developed COVID-related symptoms. Both patients had acute leukemia, and one required hospitalization for COVID-related complications.
In the COVID-19–positive cohort, 20 (95.2%) patients had their anticancer therapy delayed or deferred, with a median delay of 21 days (range, 7-77 days).
In the overall cohort, an additional 26 patients (1.2%) developed symptomatic COVID-19 during the study period.
“These results are particularly interesting because they come from a high-quality center that sees a large number of patients,” said Solange Peters, MD, PhD, of the University of Lausanne (Switzerland), who was not involved in this study.
“As they suggest, it is still a debate on how efficient routine screening is, asking the question whether we’re really detecting COVID-19 infection in our patients. Of course, it depends on the time and environment,” Dr. Peters added.
Dr. Shaya acknowledged that the small sample size was a key limitation of the study. Thus, the results may not be generalizable to other regions.
“One of the most striking things is that asymptomatic patients suffer very few consequences of COVID-19 infection, except for patients with hematologic malignancies,” Dr. Shaya said during a live discussion. “The majority of our patients had solid tumors and failed to develop any signs/symptoms of COVID infection.
“Routine screening provides a lot of security, and our institution is big enough to allow for it, and it seems our teams enjoy the fact of knowing the COVID status for each patient,” he continued.
Dr. Shaya and Dr. Peters disclosed no conflicts of interest. No funding sources were reported in the presentation.
Of more than 2,000 patients, less than 1% were found to be COVID-19 positive on asymptomatic screening, an investigator reported at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S09-04).
While several models have been proposed to screen for COVID-19 among cancer patients, the optimal strategy remains unknown, said investigator Justin A. Shaya, MD, of the University of California, San Diego.
The most commonly used approach is symptom/exposure-based screening and testing. However, other models have combined this method with polymerase chain reaction (PCR) testing for asymptomatic high-risk patients (such as those undergoing bone marrow transplant, receiving chemotherapy, or with hematologic malignancies) or with PCR testing for all asymptomatic cancer patients.
Dr. Shaya’s institution implemented a novel COVID-19 screening protocol for cancer patients receiving infusional therapy in May 2020.
The protocol required SARS-CoV-2 PCR testing for asymptomatic patients 24-96 hours prior to infusion. However, testing was only required before the administration of anticancer therapy. Infusion visits for supportive care interventions did not require previsit testing.
The researchers retrospectively analyzed data from patients with active cancer receiving infusional anticancer therapy who had at least one asymptomatic SARS-CoV-2 PCR test between June 1 and Dec. 1, 2020. The primary outcome was the rate of COVID-19 positivity among asymptomatic patients.
Results
Among 2,202 patients identified, 21 (0.95%) were found to be COVID-19 positive on asymptomatic screening. Most of these patients (90.5%) had solid tumors, but two (9.5%) had hematologic malignancies.
With respect to treatment, 16 patients (76.2%) received cytotoxic chemotherapy, 2 (9.5%) received targeted therapy, 1 (4.7%) received immunotherapy, and 2 (9.5%) were on a clinical trial.
At a median follow-up of 174 days from a positive PCR test (range, 55-223 days), only two patients (9.5%) developed COVID-related symptoms. Both patients had acute leukemia, and one required hospitalization for COVID-related complications.
In the COVID-19–positive cohort, 20 (95.2%) patients had their anticancer therapy delayed or deferred, with a median delay of 21 days (range, 7-77 days).
In the overall cohort, an additional 26 patients (1.2%) developed symptomatic COVID-19 during the study period.
“These results are particularly interesting because they come from a high-quality center that sees a large number of patients,” said Solange Peters, MD, PhD, of the University of Lausanne (Switzerland), who was not involved in this study.
“As they suggest, it is still a debate on how efficient routine screening is, asking the question whether we’re really detecting COVID-19 infection in our patients. Of course, it depends on the time and environment,” Dr. Peters added.
Dr. Shaya acknowledged that the small sample size was a key limitation of the study. Thus, the results may not be generalizable to other regions.
“One of the most striking things is that asymptomatic patients suffer very few consequences of COVID-19 infection, except for patients with hematologic malignancies,” Dr. Shaya said during a live discussion. “The majority of our patients had solid tumors and failed to develop any signs/symptoms of COVID infection.
“Routine screening provides a lot of security, and our institution is big enough to allow for it, and it seems our teams enjoy the fact of knowing the COVID status for each patient,” he continued.
Dr. Shaya and Dr. Peters disclosed no conflicts of interest. No funding sources were reported in the presentation.
Of more than 2,000 patients, less than 1% were found to be COVID-19 positive on asymptomatic screening, an investigator reported at the AACR Virtual Meeting: COVID-19 and Cancer (Abstract S09-04).
While several models have been proposed to screen for COVID-19 among cancer patients, the optimal strategy remains unknown, said investigator Justin A. Shaya, MD, of the University of California, San Diego.
The most commonly used approach is symptom/exposure-based screening and testing. However, other models have combined this method with polymerase chain reaction (PCR) testing for asymptomatic high-risk patients (such as those undergoing bone marrow transplant, receiving chemotherapy, or with hematologic malignancies) or with PCR testing for all asymptomatic cancer patients.
Dr. Shaya’s institution implemented a novel COVID-19 screening protocol for cancer patients receiving infusional therapy in May 2020.
The protocol required SARS-CoV-2 PCR testing for asymptomatic patients 24-96 hours prior to infusion. However, testing was only required before the administration of anticancer therapy. Infusion visits for supportive care interventions did not require previsit testing.
The researchers retrospectively analyzed data from patients with active cancer receiving infusional anticancer therapy who had at least one asymptomatic SARS-CoV-2 PCR test between June 1 and Dec. 1, 2020. The primary outcome was the rate of COVID-19 positivity among asymptomatic patients.
Results
Among 2,202 patients identified, 21 (0.95%) were found to be COVID-19 positive on asymptomatic screening. Most of these patients (90.5%) had solid tumors, but two (9.5%) had hematologic malignancies.
With respect to treatment, 16 patients (76.2%) received cytotoxic chemotherapy, 2 (9.5%) received targeted therapy, 1 (4.7%) received immunotherapy, and 2 (9.5%) were on a clinical trial.
At a median follow-up of 174 days from a positive PCR test (range, 55-223 days), only two patients (9.5%) developed COVID-related symptoms. Both patients had acute leukemia, and one required hospitalization for COVID-related complications.
In the COVID-19–positive cohort, 20 (95.2%) patients had their anticancer therapy delayed or deferred, with a median delay of 21 days (range, 7-77 days).
In the overall cohort, an additional 26 patients (1.2%) developed symptomatic COVID-19 during the study period.
“These results are particularly interesting because they come from a high-quality center that sees a large number of patients,” said Solange Peters, MD, PhD, of the University of Lausanne (Switzerland), who was not involved in this study.
“As they suggest, it is still a debate on how efficient routine screening is, asking the question whether we’re really detecting COVID-19 infection in our patients. Of course, it depends on the time and environment,” Dr. Peters added.
Dr. Shaya acknowledged that the small sample size was a key limitation of the study. Thus, the results may not be generalizable to other regions.
“One of the most striking things is that asymptomatic patients suffer very few consequences of COVID-19 infection, except for patients with hematologic malignancies,” Dr. Shaya said during a live discussion. “The majority of our patients had solid tumors and failed to develop any signs/symptoms of COVID infection.
“Routine screening provides a lot of security, and our institution is big enough to allow for it, and it seems our teams enjoy the fact of knowing the COVID status for each patient,” he continued.
Dr. Shaya and Dr. Peters disclosed no conflicts of interest. No funding sources were reported in the presentation.
FROM AACR: COVID-19 AND CANCER 2021