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Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) are associated with an increased risk for breast cancer, and CHIP is associated with increased mortality in patients with colon cancer, according to the authors of new research.
These findings, drawn from almost 11,000 patients in the Women’s Health Initiative (WHI) study, add further evidence that CHIP and mCA drive solid tumor risk, alongside known associations with hematologic malignancies, reported lead author Pinkal Desai, MD, associate professor of medicine and clinical director of molecular aging at Englander Institute for Precision Medicine, Weill Cornell Medical College, New York City, and colleagues.
How This Study Differs From Others of Breast Cancer Risk Factors
“The independent effect of CHIP and mCA on risk and mortality from solid tumors has not been elucidated due to lack of detailed data on mortality outcomes and risk factors,” the investigators wrote in Cancer, although some previous studies have suggested a link.
In particular, the investigators highlighted a 2022 UK Biobank study, which reported an association between CHIP and lung cancer and a borderline association with breast cancer that did not quite reach statistical significance.
But the UK Biobank study was confined to a UK population, Dr. Desai noted in an interview, and the data were less detailed than those in the present investigation.
“In terms of risk, the part that was lacking in previous studies was a comprehensive assessment of risk factors that increase risk for all these cancers,” Dr. Desai said. “For example, for breast cancer, we had very detailed data on [participants’] Gail risk score, which is known to impact breast cancer risk. We also had mammogram data and colonoscopy data.”
In an accompanying editorial, Koichi Takahashi, MD, PhD , and Nehali Shah, BS, of The University of Texas MD Anderson Cancer Center, Houston, Texas, pointed out the same UK Biobank findings, then noted that CHIP has also been linked with worse overall survival in unselected cancer patients. Still, they wrote, “the impact of CH on cancer risk and mortality remains controversial due to conflicting data and context‐dependent effects,” necessitating studies like this one by Dr. Desai and colleagues.
How Was the Relationship Between CHIP, MCA, and Solid Tumor Risk Assessed?
To explore possible associations between CHIP, mCA, and solid tumors, the investigators analyzed whole genome sequencing data from 10,866 women in the WHI, a multi-study program that began in 1992 and involved 161,808 women in both observational and clinical trial cohorts.
In 2002, the first big data release from the WHI suggested that hormone replacement therapy (HRT) increased breast cancer risk, leading to widespread reduction in HRT use.
More recent reports continue to shape our understanding of these risks, suggesting differences across cancer types. For breast cancer, the WHI data suggested that HRT-associated risk was largely driven by formulations involving progesterone and estrogen, whereas estrogen-only formulations, now more common, are generally considered to present an acceptable risk profile for suitable patients.
The new study accounted for this potential HRT-associated risk, including by adjusting for patients who received HRT, type of HRT received, and duration of HRT received. According to Desai, this approach is commonly used when analyzing data from the WHI, nullifying concerns about the potentially deleterious effects of the hormones used in the study.
“Our question was not ‘does HRT cause cancer?’ ” Dr. Desai said in an interview. “But HRT can be linked to breast cancer risk and has a potential to be a confounder, and hence the above methodology.
“So I can say that the confounding/effect modification that HRT would have contributed to in the relationship between exposure (CH and mCA) and outcome (cancer) is well adjusted for as described above. This is standard in WHI analyses,” she continued.
“Every Women’s Health Initiative analysis that comes out — not just for our study — uses a standard method ... where you account for hormonal therapy,” Dr. Desai added, again noting that many other potential risk factors were considered, enabling a “detailed, robust” analysis.
Dr. Takahashi and Ms. Shah agreed. “A notable strength of this study is its adjustment for many confounding factors,” they wrote. “The cohort’s well‐annotated data on other known cancer risk factors allowed for a robust assessment of CH’s independent risk.”
How Do Findings Compare With Those of the UK Biobank Study?
CHIP was associated with a 30% increased risk for breast cancer (hazard ratio [HR], 1.30; 95% CI, 1.03-1.64; P = .02), strengthening the borderline association reported by the UK Biobank study.
In contrast with the UK Biobank study, CHIP was not associated with lung cancer risk, although this may have been caused by fewer cases of lung cancer and a lack of male patients, Dr. Desai suggested.
“The discrepancy between the studies lies in the risk of lung cancer, although the point estimate in the current study suggested a positive association,” wrote Dr. Takahashi and Ms. Shah.
As in the UK Biobank study, CHIP was not associated with increased risk of developing colorectal cancer.
Mortality analysis, however, which was not conducted in the UK Biobank study, offered a new insight: Patients with existing colorectal cancer and CHIP had a significantly higher mortality risk than those without CHIP. Before stage adjustment, risk for mortality among those with colorectal cancer and CHIP was fourfold higher than those without CHIP (HR, 3.99; 95% CI, 2.41-6.62; P < .001). After stage adjustment, CHIP was still associated with a twofold higher mortality risk (HR, 2.50; 95% CI, 1.32-4.72; P = .004).
The investigators’ first mCA analyses, which employed a cell fraction cutoff greater than 3%, were unfruitful. But raising the cell fraction threshold to 5% in an exploratory analysis showed that autosomal mCA was associated with a 39% increased risk for breast cancer (HR, 1.39; 95% CI, 1.06-1.83; P = .01). No such associations were found between mCA and colorectal or lung cancer, regardless of cell fraction threshold.
The original 3% cell fraction threshold was selected on the basis of previous studies reporting a link between mCA and hematologic malignancies at this cutoff, Dr. Desai said.
She and her colleagues said a higher 5% cutoff might be needed, as they suspected that the link between mCA and solid tumors may not be causal, requiring a higher mutation rate.
Why Do Results Differ Between These Types of Studies?
Dr. Takahashi and Ms. Shah suggested that one possible limitation of the new study, and an obstacle to comparing results with the UK Biobank study and others like it, goes beyond population heterogeneity; incongruent findings could also be explained by differences in whole genome sequencing (WGS) technique.
“Although WGS allows sensitive detection of mCA through broad genomic coverage, it is less effective at detecting CHIP with low variant allele frequency (VAF) due to its relatively shallow depth (30x),” they wrote. “Consequently, the prevalence of mCA (18.8%) was much higher than that of CHIP (8.3%) in this cohort, contrasting with other studies using deeper sequencing.” As a result, the present study may have underestimated CHIP prevalence because of shallow sequencing depth.
“This inconsistency is a common challenge in CH population studies due to the lack of standardized methodologies and the frequent reliance on preexisting data not originally intended for CH detection,” Dr. Takahashi and Ms. Shah said.
Even so, despite the “heavily context-dependent” nature of these reported risks, the body of evidence to date now offers a convincing biological rationale linking CH with cancer development and outcomes, they added.
How Do the CHIP- and mCA-associated Risks Differ Between Solid Tumors and Blood Cancers?
“[These solid tumor risks are] not causal in the way CHIP mutations are causal for blood cancers,” Dr. Desai said. “Here we are talking about solid tumor risk, and it’s kind of scattered. It’s not just breast cancer ... there’s also increased colon cancer mortality. So I feel these mutations are doing something different ... they are sort of an added factor.”
Specific mechanisms remain unclear, Dr. Desai said, although she speculated about possible impacts on the inflammatory state or alterations to the tumor microenvironment.
“These are blood cells, right?” Dr. Desai asked. “They’re everywhere, and they’re changing something inherently in these tumors.”
Future research and therapeutic development
Siddhartha Jaiswal, MD, PhD, assistant professor in the Department of Pathology at Stanford University in California, whose lab focuses on clonal hematopoiesis, said the causality question is central to future research.
“The key question is, are these mutations acting because they alter the function of blood cells in some way to promote cancer risk, or is it reflective of some sort of shared etiology that’s not causal?” Dr. Jaiswal said in an interview.
Available data support both possibilities.
On one side, “reasonable evidence” supports the noncausal view, Dr. Jaiswal noted, because telomere length is one of the most common genetic risk factors for clonal hematopoiesis and also for solid tumors, suggesting a shared genetic factor. On the other hand, CHIP and mCA could be directly protumorigenic via conferred disturbances of immune cell function.
When asked if both causal and noncausal factors could be at play, Dr. Jaiswal said, “yeah, absolutely.”
The presence of a causal association could be promising from a therapeutic standpoint.
“If it turns out that this association is driven by a direct causal effect of the mutations, perhaps related to immune cell function or dysfunction, then targeting that dysfunction could be a therapeutic path to improve outcomes in people, and there’s a lot of interest in this,” Dr. Jaiswal said. He went on to explain how a trial exploring this approach via interleukin-8 inhibition in lung cancer fell short.
Yet earlier intervention may still hold promise, according to experts.
“[This study] provokes the hypothesis that CH‐targeted interventions could potentially reduce cancer risk in the future,” Dr. Takahashi and Ms. Shah said in their editorial.
The WHI program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The investigators disclosed relationships with Eli Lilly, AbbVie, Celgene, and others. Dr. Jaiswal reported stock equity in a company that has an interest in clonal hematopoiesis.
A version of this article first appeared on Medscape.com.
Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) are associated with an increased risk for breast cancer, and CHIP is associated with increased mortality in patients with colon cancer, according to the authors of new research.
These findings, drawn from almost 11,000 patients in the Women’s Health Initiative (WHI) study, add further evidence that CHIP and mCA drive solid tumor risk, alongside known associations with hematologic malignancies, reported lead author Pinkal Desai, MD, associate professor of medicine and clinical director of molecular aging at Englander Institute for Precision Medicine, Weill Cornell Medical College, New York City, and colleagues.
How This Study Differs From Others of Breast Cancer Risk Factors
“The independent effect of CHIP and mCA on risk and mortality from solid tumors has not been elucidated due to lack of detailed data on mortality outcomes and risk factors,” the investigators wrote in Cancer, although some previous studies have suggested a link.
In particular, the investigators highlighted a 2022 UK Biobank study, which reported an association between CHIP and lung cancer and a borderline association with breast cancer that did not quite reach statistical significance.
But the UK Biobank study was confined to a UK population, Dr. Desai noted in an interview, and the data were less detailed than those in the present investigation.
“In terms of risk, the part that was lacking in previous studies was a comprehensive assessment of risk factors that increase risk for all these cancers,” Dr. Desai said. “For example, for breast cancer, we had very detailed data on [participants’] Gail risk score, which is known to impact breast cancer risk. We also had mammogram data and colonoscopy data.”
In an accompanying editorial, Koichi Takahashi, MD, PhD , and Nehali Shah, BS, of The University of Texas MD Anderson Cancer Center, Houston, Texas, pointed out the same UK Biobank findings, then noted that CHIP has also been linked with worse overall survival in unselected cancer patients. Still, they wrote, “the impact of CH on cancer risk and mortality remains controversial due to conflicting data and context‐dependent effects,” necessitating studies like this one by Dr. Desai and colleagues.
How Was the Relationship Between CHIP, MCA, and Solid Tumor Risk Assessed?
To explore possible associations between CHIP, mCA, and solid tumors, the investigators analyzed whole genome sequencing data from 10,866 women in the WHI, a multi-study program that began in 1992 and involved 161,808 women in both observational and clinical trial cohorts.
In 2002, the first big data release from the WHI suggested that hormone replacement therapy (HRT) increased breast cancer risk, leading to widespread reduction in HRT use.
More recent reports continue to shape our understanding of these risks, suggesting differences across cancer types. For breast cancer, the WHI data suggested that HRT-associated risk was largely driven by formulations involving progesterone and estrogen, whereas estrogen-only formulations, now more common, are generally considered to present an acceptable risk profile for suitable patients.
The new study accounted for this potential HRT-associated risk, including by adjusting for patients who received HRT, type of HRT received, and duration of HRT received. According to Desai, this approach is commonly used when analyzing data from the WHI, nullifying concerns about the potentially deleterious effects of the hormones used in the study.
“Our question was not ‘does HRT cause cancer?’ ” Dr. Desai said in an interview. “But HRT can be linked to breast cancer risk and has a potential to be a confounder, and hence the above methodology.
“So I can say that the confounding/effect modification that HRT would have contributed to in the relationship between exposure (CH and mCA) and outcome (cancer) is well adjusted for as described above. This is standard in WHI analyses,” she continued.
“Every Women’s Health Initiative analysis that comes out — not just for our study — uses a standard method ... where you account for hormonal therapy,” Dr. Desai added, again noting that many other potential risk factors were considered, enabling a “detailed, robust” analysis.
Dr. Takahashi and Ms. Shah agreed. “A notable strength of this study is its adjustment for many confounding factors,” they wrote. “The cohort’s well‐annotated data on other known cancer risk factors allowed for a robust assessment of CH’s independent risk.”
How Do Findings Compare With Those of the UK Biobank Study?
CHIP was associated with a 30% increased risk for breast cancer (hazard ratio [HR], 1.30; 95% CI, 1.03-1.64; P = .02), strengthening the borderline association reported by the UK Biobank study.
In contrast with the UK Biobank study, CHIP was not associated with lung cancer risk, although this may have been caused by fewer cases of lung cancer and a lack of male patients, Dr. Desai suggested.
“The discrepancy between the studies lies in the risk of lung cancer, although the point estimate in the current study suggested a positive association,” wrote Dr. Takahashi and Ms. Shah.
As in the UK Biobank study, CHIP was not associated with increased risk of developing colorectal cancer.
Mortality analysis, however, which was not conducted in the UK Biobank study, offered a new insight: Patients with existing colorectal cancer and CHIP had a significantly higher mortality risk than those without CHIP. Before stage adjustment, risk for mortality among those with colorectal cancer and CHIP was fourfold higher than those without CHIP (HR, 3.99; 95% CI, 2.41-6.62; P < .001). After stage adjustment, CHIP was still associated with a twofold higher mortality risk (HR, 2.50; 95% CI, 1.32-4.72; P = .004).
The investigators’ first mCA analyses, which employed a cell fraction cutoff greater than 3%, were unfruitful. But raising the cell fraction threshold to 5% in an exploratory analysis showed that autosomal mCA was associated with a 39% increased risk for breast cancer (HR, 1.39; 95% CI, 1.06-1.83; P = .01). No such associations were found between mCA and colorectal or lung cancer, regardless of cell fraction threshold.
The original 3% cell fraction threshold was selected on the basis of previous studies reporting a link between mCA and hematologic malignancies at this cutoff, Dr. Desai said.
She and her colleagues said a higher 5% cutoff might be needed, as they suspected that the link between mCA and solid tumors may not be causal, requiring a higher mutation rate.
Why Do Results Differ Between These Types of Studies?
Dr. Takahashi and Ms. Shah suggested that one possible limitation of the new study, and an obstacle to comparing results with the UK Biobank study and others like it, goes beyond population heterogeneity; incongruent findings could also be explained by differences in whole genome sequencing (WGS) technique.
“Although WGS allows sensitive detection of mCA through broad genomic coverage, it is less effective at detecting CHIP with low variant allele frequency (VAF) due to its relatively shallow depth (30x),” they wrote. “Consequently, the prevalence of mCA (18.8%) was much higher than that of CHIP (8.3%) in this cohort, contrasting with other studies using deeper sequencing.” As a result, the present study may have underestimated CHIP prevalence because of shallow sequencing depth.
“This inconsistency is a common challenge in CH population studies due to the lack of standardized methodologies and the frequent reliance on preexisting data not originally intended for CH detection,” Dr. Takahashi and Ms. Shah said.
Even so, despite the “heavily context-dependent” nature of these reported risks, the body of evidence to date now offers a convincing biological rationale linking CH with cancer development and outcomes, they added.
How Do the CHIP- and mCA-associated Risks Differ Between Solid Tumors and Blood Cancers?
“[These solid tumor risks are] not causal in the way CHIP mutations are causal for blood cancers,” Dr. Desai said. “Here we are talking about solid tumor risk, and it’s kind of scattered. It’s not just breast cancer ... there’s also increased colon cancer mortality. So I feel these mutations are doing something different ... they are sort of an added factor.”
Specific mechanisms remain unclear, Dr. Desai said, although she speculated about possible impacts on the inflammatory state or alterations to the tumor microenvironment.
“These are blood cells, right?” Dr. Desai asked. “They’re everywhere, and they’re changing something inherently in these tumors.”
Future research and therapeutic development
Siddhartha Jaiswal, MD, PhD, assistant professor in the Department of Pathology at Stanford University in California, whose lab focuses on clonal hematopoiesis, said the causality question is central to future research.
“The key question is, are these mutations acting because they alter the function of blood cells in some way to promote cancer risk, or is it reflective of some sort of shared etiology that’s not causal?” Dr. Jaiswal said in an interview.
Available data support both possibilities.
On one side, “reasonable evidence” supports the noncausal view, Dr. Jaiswal noted, because telomere length is one of the most common genetic risk factors for clonal hematopoiesis and also for solid tumors, suggesting a shared genetic factor. On the other hand, CHIP and mCA could be directly protumorigenic via conferred disturbances of immune cell function.
When asked if both causal and noncausal factors could be at play, Dr. Jaiswal said, “yeah, absolutely.”
The presence of a causal association could be promising from a therapeutic standpoint.
“If it turns out that this association is driven by a direct causal effect of the mutations, perhaps related to immune cell function or dysfunction, then targeting that dysfunction could be a therapeutic path to improve outcomes in people, and there’s a lot of interest in this,” Dr. Jaiswal said. He went on to explain how a trial exploring this approach via interleukin-8 inhibition in lung cancer fell short.
Yet earlier intervention may still hold promise, according to experts.
“[This study] provokes the hypothesis that CH‐targeted interventions could potentially reduce cancer risk in the future,” Dr. Takahashi and Ms. Shah said in their editorial.
The WHI program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The investigators disclosed relationships with Eli Lilly, AbbVie, Celgene, and others. Dr. Jaiswal reported stock equity in a company that has an interest in clonal hematopoiesis.
A version of this article first appeared on Medscape.com.
Clonal hematopoiesis of indeterminate potential (CHIP) and mosaic chromosomal alterations (mCAs) are associated with an increased risk for breast cancer, and CHIP is associated with increased mortality in patients with colon cancer, according to the authors of new research.
These findings, drawn from almost 11,000 patients in the Women’s Health Initiative (WHI) study, add further evidence that CHIP and mCA drive solid tumor risk, alongside known associations with hematologic malignancies, reported lead author Pinkal Desai, MD, associate professor of medicine and clinical director of molecular aging at Englander Institute for Precision Medicine, Weill Cornell Medical College, New York City, and colleagues.
How This Study Differs From Others of Breast Cancer Risk Factors
“The independent effect of CHIP and mCA on risk and mortality from solid tumors has not been elucidated due to lack of detailed data on mortality outcomes and risk factors,” the investigators wrote in Cancer, although some previous studies have suggested a link.
In particular, the investigators highlighted a 2022 UK Biobank study, which reported an association between CHIP and lung cancer and a borderline association with breast cancer that did not quite reach statistical significance.
But the UK Biobank study was confined to a UK population, Dr. Desai noted in an interview, and the data were less detailed than those in the present investigation.
“In terms of risk, the part that was lacking in previous studies was a comprehensive assessment of risk factors that increase risk for all these cancers,” Dr. Desai said. “For example, for breast cancer, we had very detailed data on [participants’] Gail risk score, which is known to impact breast cancer risk. We also had mammogram data and colonoscopy data.”
In an accompanying editorial, Koichi Takahashi, MD, PhD , and Nehali Shah, BS, of The University of Texas MD Anderson Cancer Center, Houston, Texas, pointed out the same UK Biobank findings, then noted that CHIP has also been linked with worse overall survival in unselected cancer patients. Still, they wrote, “the impact of CH on cancer risk and mortality remains controversial due to conflicting data and context‐dependent effects,” necessitating studies like this one by Dr. Desai and colleagues.
How Was the Relationship Between CHIP, MCA, and Solid Tumor Risk Assessed?
To explore possible associations between CHIP, mCA, and solid tumors, the investigators analyzed whole genome sequencing data from 10,866 women in the WHI, a multi-study program that began in 1992 and involved 161,808 women in both observational and clinical trial cohorts.
In 2002, the first big data release from the WHI suggested that hormone replacement therapy (HRT) increased breast cancer risk, leading to widespread reduction in HRT use.
More recent reports continue to shape our understanding of these risks, suggesting differences across cancer types. For breast cancer, the WHI data suggested that HRT-associated risk was largely driven by formulations involving progesterone and estrogen, whereas estrogen-only formulations, now more common, are generally considered to present an acceptable risk profile for suitable patients.
The new study accounted for this potential HRT-associated risk, including by adjusting for patients who received HRT, type of HRT received, and duration of HRT received. According to Desai, this approach is commonly used when analyzing data from the WHI, nullifying concerns about the potentially deleterious effects of the hormones used in the study.
“Our question was not ‘does HRT cause cancer?’ ” Dr. Desai said in an interview. “But HRT can be linked to breast cancer risk and has a potential to be a confounder, and hence the above methodology.
“So I can say that the confounding/effect modification that HRT would have contributed to in the relationship between exposure (CH and mCA) and outcome (cancer) is well adjusted for as described above. This is standard in WHI analyses,” she continued.
“Every Women’s Health Initiative analysis that comes out — not just for our study — uses a standard method ... where you account for hormonal therapy,” Dr. Desai added, again noting that many other potential risk factors were considered, enabling a “detailed, robust” analysis.
Dr. Takahashi and Ms. Shah agreed. “A notable strength of this study is its adjustment for many confounding factors,” they wrote. “The cohort’s well‐annotated data on other known cancer risk factors allowed for a robust assessment of CH’s independent risk.”
How Do Findings Compare With Those of the UK Biobank Study?
CHIP was associated with a 30% increased risk for breast cancer (hazard ratio [HR], 1.30; 95% CI, 1.03-1.64; P = .02), strengthening the borderline association reported by the UK Biobank study.
In contrast with the UK Biobank study, CHIP was not associated with lung cancer risk, although this may have been caused by fewer cases of lung cancer and a lack of male patients, Dr. Desai suggested.
“The discrepancy between the studies lies in the risk of lung cancer, although the point estimate in the current study suggested a positive association,” wrote Dr. Takahashi and Ms. Shah.
As in the UK Biobank study, CHIP was not associated with increased risk of developing colorectal cancer.
Mortality analysis, however, which was not conducted in the UK Biobank study, offered a new insight: Patients with existing colorectal cancer and CHIP had a significantly higher mortality risk than those without CHIP. Before stage adjustment, risk for mortality among those with colorectal cancer and CHIP was fourfold higher than those without CHIP (HR, 3.99; 95% CI, 2.41-6.62; P < .001). After stage adjustment, CHIP was still associated with a twofold higher mortality risk (HR, 2.50; 95% CI, 1.32-4.72; P = .004).
The investigators’ first mCA analyses, which employed a cell fraction cutoff greater than 3%, were unfruitful. But raising the cell fraction threshold to 5% in an exploratory analysis showed that autosomal mCA was associated with a 39% increased risk for breast cancer (HR, 1.39; 95% CI, 1.06-1.83; P = .01). No such associations were found between mCA and colorectal or lung cancer, regardless of cell fraction threshold.
The original 3% cell fraction threshold was selected on the basis of previous studies reporting a link between mCA and hematologic malignancies at this cutoff, Dr. Desai said.
She and her colleagues said a higher 5% cutoff might be needed, as they suspected that the link between mCA and solid tumors may not be causal, requiring a higher mutation rate.
Why Do Results Differ Between These Types of Studies?
Dr. Takahashi and Ms. Shah suggested that one possible limitation of the new study, and an obstacle to comparing results with the UK Biobank study and others like it, goes beyond population heterogeneity; incongruent findings could also be explained by differences in whole genome sequencing (WGS) technique.
“Although WGS allows sensitive detection of mCA through broad genomic coverage, it is less effective at detecting CHIP with low variant allele frequency (VAF) due to its relatively shallow depth (30x),” they wrote. “Consequently, the prevalence of mCA (18.8%) was much higher than that of CHIP (8.3%) in this cohort, contrasting with other studies using deeper sequencing.” As a result, the present study may have underestimated CHIP prevalence because of shallow sequencing depth.
“This inconsistency is a common challenge in CH population studies due to the lack of standardized methodologies and the frequent reliance on preexisting data not originally intended for CH detection,” Dr. Takahashi and Ms. Shah said.
Even so, despite the “heavily context-dependent” nature of these reported risks, the body of evidence to date now offers a convincing biological rationale linking CH with cancer development and outcomes, they added.
How Do the CHIP- and mCA-associated Risks Differ Between Solid Tumors and Blood Cancers?
“[These solid tumor risks are] not causal in the way CHIP mutations are causal for blood cancers,” Dr. Desai said. “Here we are talking about solid tumor risk, and it’s kind of scattered. It’s not just breast cancer ... there’s also increased colon cancer mortality. So I feel these mutations are doing something different ... they are sort of an added factor.”
Specific mechanisms remain unclear, Dr. Desai said, although she speculated about possible impacts on the inflammatory state or alterations to the tumor microenvironment.
“These are blood cells, right?” Dr. Desai asked. “They’re everywhere, and they’re changing something inherently in these tumors.”
Future research and therapeutic development
Siddhartha Jaiswal, MD, PhD, assistant professor in the Department of Pathology at Stanford University in California, whose lab focuses on clonal hematopoiesis, said the causality question is central to future research.
“The key question is, are these mutations acting because they alter the function of blood cells in some way to promote cancer risk, or is it reflective of some sort of shared etiology that’s not causal?” Dr. Jaiswal said in an interview.
Available data support both possibilities.
On one side, “reasonable evidence” supports the noncausal view, Dr. Jaiswal noted, because telomere length is one of the most common genetic risk factors for clonal hematopoiesis and also for solid tumors, suggesting a shared genetic factor. On the other hand, CHIP and mCA could be directly protumorigenic via conferred disturbances of immune cell function.
When asked if both causal and noncausal factors could be at play, Dr. Jaiswal said, “yeah, absolutely.”
The presence of a causal association could be promising from a therapeutic standpoint.
“If it turns out that this association is driven by a direct causal effect of the mutations, perhaps related to immune cell function or dysfunction, then targeting that dysfunction could be a therapeutic path to improve outcomes in people, and there’s a lot of interest in this,” Dr. Jaiswal said. He went on to explain how a trial exploring this approach via interleukin-8 inhibition in lung cancer fell short.
Yet earlier intervention may still hold promise, according to experts.
“[This study] provokes the hypothesis that CH‐targeted interventions could potentially reduce cancer risk in the future,” Dr. Takahashi and Ms. Shah said in their editorial.
The WHI program is funded by the National Heart, Lung, and Blood Institute; National Institutes of Health; and the Department of Health & Human Services. The investigators disclosed relationships with Eli Lilly, AbbVie, Celgene, and others. Dr. Jaiswal reported stock equity in a company that has an interest in clonal hematopoiesis.
A version of this article first appeared on Medscape.com.
FROM CANCER