Abstract
Clonal hematopoiesis (CH) is a frequently observed phenomenon in aging individuals without apparent illness and exhibits an increased prevalence in cancer patients. Mechanistic studies indicate that mutant immune cells alter the tumor microenvironment, leading to increased inflammation, blood vessel formation, and immune cell exhaustion. Paradoxically, these changes also preserve stem-like T-cell pools that can be utilized by immunotherapy. CH may be incidentally detected in patients whose solid tumors are profiled by next-generation sequencing. Clinically, CH confers higher risks of therapy-related myeloid neoplasms, cardiovascular and inflammatory toxicities, and context-specific changes in treatment efficacy. Moreover, tumor-infiltrating CH independently shortens survival. Two validated risk scores can inform the risk for myeloid malignancy, yet surveillance, cardiometabolic management, and regimen selection still primarily rely on expert consensus. Because CH may be discovered incidentally, rigorous confirmation of variant origin when CH is suspected is essential to avoid misdirected therapy. We propose a pragmatic approach: (i) confirm CH with paired blood sequencing when feasible; (ii) integrate high-risk features into risk stratification, counseling, and monitoring for cytopenias and cardiovascular events; and (iii) prefer less genotoxic regimens when the oncologic benefit is comparable. Early trials blocking interleukin-1β suggest that targeting inflammation driven by CH may improve outcomes in patients with solid tumors. Prospective studies informed by mutation analysis and tracking clonal changes and inflammatory markers are needed to determine whether routine CH assessment can be integrated into precision oncology to improve outcomes for patients with solid tumors and CH.
Introduction
In the early 1960s, Mary Lyon’s discovery of random X-chromosome inactivation provided a clever genetic “barcode,” enabling investigators to trace the clonality of cell populations with unprecedented precision.1-3 Using this principle, Philip Fialkow and colleagues provided the first convincing evidence demonstrating the clonal origin of chronic myeloid leukemia.4 Similar lineage-tracing studies revealed that even healthy adults, particularly aging women, harbor skewed, clonally restricted hematopoiesis.5,6 These experiments demonstrated that the clonal expansion of hematopoietic stem cells can occur with age but did not identify the genetic drivers of this clonality.
We now understand that most cancers arise from somatic mutations that quietly accumulate in tissue-specific stem cells as they divide throughout life.7, 8 Most of these mutations appear long before a tumor develops and do not portend malignant transformation.9-11 In hematopoietic stem cells, the steady accrual of single-base changes, small insertions/deletions, and larger structural variants creates a genetically diverse pool of progenitors. The gap between skewed X-inactivation and the driver of clonal hematopoiesis (CH) emerged with the discovery of somatic TET2 mutations in aging women.12 Additional work tracing somatic mutations in the pre-leukemic and remission samples of patients with acute myeloid leukemia further supported this concept.13-15 The application of next-generation sequencing to large-scale surveys of blood DNA from thousands of individuals has firmly established the presence of age-related somatic mutations associated with CH.16-18
Broadly, CH refers to any detectable expansion of a single hematopoietic stem cell-derived clone, whether driven by malignant transformation, neutral drift due to age-related stem cell constriction, or selective advantage conferred by somatic mutations. Among the various forms of CH, two clinically relevant entities are CH of indeterminate potential (CHIP), which refers to the presence of somatic mutations in leukemia-associated driver genes at a variant allele fraction (VAF) of ≥2% in individuals without cytopenias or a diagnosed hematologic disorder, and clonal cytopenia of undetermined significance (CCUS), which describes similar mutational events occurring in the context of persistent, unexplained cytopenias without meeting diagnostic criteria for myelodysplastic syndromes.
CH carries significant clinical implications, increasing lifetime risk of hematologic malignancies,16,17,19 and contributing to excess morbidity and mortality from cardiovascular disease,20,21 chronic liver disease,22 kidney disease,23,24 and pulmonary disease,25 as reviewed elsewhere.21 CH is likewise enriched in patients with solid tumors, in whom it may influence clinical outcomes.21,26-28 Although findings vary across studies, a growing body of evidence suggests that the clinical impact of CH depends on the clonal burden, the specific gene and type of mutation, and the extent to which mutant clones infiltrate the tumor microenvironment (TME).29,30
In this review, we synthesize the emerging literature on CH in patients with solid tumors, covering its incidence and the biological underpinnings that these mutant hematopoietic cells may exert within the TME. We review the literature on the clinical implications of CH in various types of cancer. We discuss the settings in which CH is found incidentally and provide recommendations on how to best counsel and monitor individual patients when this occurs based on the current understanding of its clinical implications. Finally, we highlight opportunities for clinical trials to test whether targeted immune-modulating strategies can mitigate the detrimental consequences of CH in patients with solid tumors.
Prevalence of clonal hematopoiesis: from the general population to patients with solid tumors
The prevalence of CH increases steadily with age, but its observed frequency is closely tied to the sensitivity of the detection method, population ancestry, and inherited genetic variation.31 Using the conventional VAF threshold of ≥2% for CHIP, large-scale sequencing studies consistently report CH in ~5% of middle-aged individuals, with this figure rising to 10-20% or more in those over 70 years old. For instance, whole-exome sequencing of 416,118 UK Biobank participants detected CHIP in 4.9%, a figure nearly identical to the 4.3% crude prevalence found in 97,691 whole-genome sequences from the TOPMed cohort.32,33 The measured prevalence of CH can be substantially higher with more sensitive assays; ultra-deep, error-corrected sequencing has detected clonal mutations in up to 95% of individuals, underscoring that the observed frequency scales with technical sensitivity.34
Beyond age and assay sensitivity, CH frequency is modulated by population ancestry and germline genetics. A comparative analysis found CH to be significantly less common in a Mexico City-based cohort compared to participants in the UK Biobank (3.1% vs. 4.9%, respectively), with a prevalence that increased among individuals with greater European ancestry.32 Genome-wide analyses have identified ancestry-specific and common germline variants at loci such as TCL1B, TERT, CHEK2, and a TET2 enhancer, which influence the risk of developing CH by impacting pathways related to telomere maintenance, stem cell self-renewal, and DNA repair.32,33
CH is commonly found in the general population but occurs even more frequently among patients with solid tumors, a consistent observation from multiple large-scale sequencing studies.26,28,35 This higher prevalence is important for understanding how cancer and its treatments influence the clonal evolution of hematopoietic stem cells. In a study of over 8,800 patients with solid tumors, CH was reported in 25%, with high-risk driver mutations identified in 4.5%.35 An expanded cohort of 24,146 individuals confirmed a CH prevalence of 30%, with over half of the mutations classified as putative drivers (CH-PD).26 Similarly, a recent study of a Chinese cancer cohort reported CH in 28.6% of patients.36
These studies in cancer patients reveal distinct patterns of CH. The most mutated genes include DNMT3A, TET2, PPM1D, ASXL1, AT M, and TP53. Furthermore, exposure to specific cancer therapies, such as platinum agents and radiotherapy, appears to exert selective pressure, leading to the enrichment of clones with mutations in DNA damage response (DDR) genes such as TP53, PPM1D, and CHEK2.26 Age and smoking also influence the clonal landscape, with aging preferentially selecting for spliceosome mutations and smoking being associated with ASXL1 mutations.26
Notably, the presence of CH, especially CH-PD, is clinically significant in cancer patients, being independently associated with shorter overall survival (OS) even after adjusting for age, sex, and smoking status.35 Most deaths among individuals with CH were due to the progression of their solid tumors rather than the development of subsequent hematologic malignancies. Additionally, specific high-risk CH profiles can increase the likelihood of developing therapy-related myeloid neoplasms (tMN), which could influence decisions about adjuvant chemotherapy.26,35
The association between CH and poorer patient outcomes suggests the existence of underlying biological mechanisms. Immune cells originating from CH can exert both systemic effects by dysregulating the immune system and local effects within the TME. These CH-derived immune cells can infiltrate solid tumors, a process termed tumor-infiltrating CH (TI-CH) or CH-Tum. The impact of this infiltration stems from how CH mutations modify the function of immune cells, thereby influencing the trajectory of cancer development, which is the focus of the next section.
Tumor-infiltrating clonal hematopoiesis
TI-CH refers to the presence of canonical CH mutations within bulk tumor DNA at a VAF of ≥2%, indicating the infiltration of mutant leukocytes into the TME. Large-scale sequencing efforts have demonstrated that TI-CH is common but heterogeneously distributed across cancers and is associated with adverse clinical outcomes.29,30
A recent integrated analysis of 421 patients with early-stage non-small cell lung cancer (NSCLC) from the TRACERx study and 49,351 patients across the MSK-IMPACT pan-cancer cohort provided key insights into the prevalence and prognostic relevance of TI-CH.30 Among patients with NSCLC, 42% of those with CH exhibited TI-CH, translating into an adjusted hazard ratio (HR) of 1.80 (95% confidence interval [95% CI]: 1.23-2.63) for disease recurrence or death compared to patients without CH and a hazard ratio of 1.62 (95% CI: 1.02-2.56) compared to those with CH confined to peripheral blood. Across the broader MSK-IMPACT cohort, TI-CH was observed in 26% of CH-positive patients and associated with a 17% increased risk of death. TET2 mutations emerged as the strongest predictor of TI-CH, and mechanistic studies demonstrated that TET2-mutant monocytes exhibit enhanced migration toward tumor cells, fueling a myeloid-rich, pro-angiogenic microenvironment that accelerates tumor progression. These findings position TI-CH as a clinically meaningful and biologically active contributor to cancer evolution.
Complementary evidence is provided by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) study, which analyzed 1,550 treatment-naïve tumors across multiple cancer types.29 CH was present in 18.3% of patients, with approximately one-third of CH-positive cases showing detectable tumor infiltration (CH-Tum). In concordance with the TRACERx and MSK-IMPACT findings, CH-Tum was associated with significantly shorter OS. Molecular analyses revealed that tumors with CH-Tum exhibited distinct immune and inflammatory profiles, characterized by dense macrophage and neutrophil infiltration, heightened NF-KB and interferon signaling, and activation of angiogenic and mitogenic pathways. Notably, these effects were most pronounced in glioblastoma, in which CH-Tum correlated with an aggressive, mesenchymal tumor phenotype - a shift associated with inflammatory macrophage activity within the TME. Across datasets, TI-CH emerges as a pan-cancer phenomenon that may shape tumor biology independently of age-related immune shifts.
Together, these studies establish that TI-CH is not merely a technical artifact of tumor sequencing but a biologically and clinically significant event. TI-CH portends worse outcomes across multiple cancer types, remodels the immune microenvironment toward a pro-inflammatory, pro-tumorigenic state, and may offer novel opportunities for biomarker development and therapeutic intervention.
The potential impact of clonal hematopoiesis on immunity and cancer progression
The somatic mutations that drive CH are increasingly understood not merely as passive markers of clonal expansion but as active modulators of host immunity, often creating conditions that favor tumor development. Mounting mechanistic evidence suggests that pathogenic variants in key epigenetic regulators, such as TET2, DNMT3A, and ASXL1, as well as the tumor suppressor TP53, can reprogram the TME toward a pro-tumorigenic, immunosuppressive state by suppressing antitumor immunity and promoting vascularization (Figure 1).
For instance, in Tet2-deficient mice, heightened interleukin (IL)-6 secretion drives a pronounced expansion of granulocytic myeloid-derived suppressor cells (G-MDSC). These cells impair the cytotoxic function of CD8⁺ T cells, leading to accelerated tumor growth. Neutralizing IL-6 or depleting G-MDSC restores immune surveillance and slows cancer progression.37 Clinically, this suggests that IL-6-targeting therapies, currently approved for rheumatologic diseases, could be investigated to limit tumor progression in patients with TET2 mutations. However, the immunological impact of TET2 loss appears context-dependent. In melanoma models, Tet2 deletion in myeloid cells unexpectedly enhanced antitumor immunity by shifting tumor-associated macrophages toward a pro-inflammatory (M1-like) phenotype, increasing effector T-cell infiltration, and suppressing tumor growth.38 Beyond immune suppression, Tet2-mutant myeloid cells promote angiogenesis through a secreted S100a8/S100a9-Emmprin-VEGFA signaling cascade. Pharmacological blockade of Emmprin disrupts neovascularization and abrogates the growth advantage conferred by mutant infiltration.39 These findings highlight the complexity of CH, in which the same mutation can either promote or inhibit tumor progression depending on specific circumstances.
Beyond TET2, several CH-associated gene mutations converge on common pathways involving inflammation, vascular remodeling, and immune dysfunction. For instance, mice with reduced Dnmt3a activity develop more severe colitis-associated colon cancer, characterized by increased tumor size, greater tissue damage, and excessive blood vessel growth.40 Notably, these effects are largely reversed by anti-angiogenic therapy, suggesting that mutant hematopoietic cells contribute to both tumor initiation and progression via inflammatory amplification and vascular remodeling. Loss of wild-type TP53 in myeloid cells further reinforces this paradigm: elevated IL-6 and NOS2 signaling polarizes macrophages toward a tumor-promoting M2-like state, promotes angiogenesis, and facilitates malignant outgrowth.41
Figure 1.Tumor-infiltrating clonal hematopoiesis. Differentiated immune cells originating from clonally expanded hematopoietic stem cells infiltrate the tumor microenvironment and promote pro-tumorigenic cytokine signaling. Clonal hematopoiesis mutations exert complex, context-dependent effects: mutated myeloid cells often foster an immunosuppressive niche that supports tumor growth, whereas certain T-cell mutations can preserve function and enhance immunotherapy efficacy. CH: clonal hematopoiesis; HSC: hematopoietic stem cell; IL: interleukin; TNF: tumor necrosis factor; IFN: interferon; TGF: transforming growth factor; PD-1: programmed cell death protein-1. Created with BioRender.com.
The immune-modulatory effects of CH clones extend beyond myeloid cells to lymphoid compartments, influencing both innate and adaptive immunity. Mutations in ASXL1 trace a complementary yet distinct path: Asxl1-mutant T cells exhibit hallmarks of premature aging, including a naïve-to-memory imbalance and high PD-1 expression, resulting in dysfunctional tumor immune surveillance leading to enhanced growth of breast, colon, lung, and melanoma tumors.42
While these findings highlight the immunosuppressive consequences of ASXL1 mutations in T cells, emerging evidence suggests that the impact of CH on lymphoid compartments is more nuanced. Notably, loss of CH-associated genes can enhance the effectiveness of immunotherapy by promoting specific T-cell populations that sustain long-term antitumor responses.43 Under chronic antigen stimulation, loss of Dnmt3a, Tet 2, or Asxl1 helps to maintain a stem-like subset of progenitor-exhausted T cells, enabling sustained responsiveness to immune checkpoint therapies without progression to malignancy.43 This unexpected persistence of stem-like T cells indicates that specific loss-of-function CH-associated mutations might be leveraged to prolong the effectiveness of adoptive T-cell therapies. Collectively, these findings underscore the dual role of CH mutations: while they can impair antitumor immunity through their impact on myeloid cells, they simultaneously present an opportunity to enhance T-cell-based immunotherapies. Together, these studies emphasize the complex, context-dependent influence of CH mutations on tumor progression and highlight the importance of defining mutation-specific interactions within distinct TME. Understanding these mechanisms and identifying predictive biomarkers for responses to immunotherapy are essential steps toward translating insights from CH biology into personalized, clinically effective cancer treatments.
Clinical outcomes associated with clonal hematopoiesis in patients with solid tumors
Studies including multiple tumor types
A seminal study by Bolton et al. analyzed over 24,000 cancer patients, demonstrating that specific cancer therapies actively promote the expansion of hematopoietic clones with specific mutations in DDR genes.26 Treatments such as radiation, platinum-based chemotherapy (e.g., carboplatin), and topoisomerase II inhibitors were found to selectively favor clones harboring mutations in genes such as TP53, PPM1D, and CHEK2. This therapy-associated CH significantly elevates the risk of developing often fatal tMN, including acute myeloid leukemia and myelodysplastic syndromes. Analysis of outcome data from 9,437 patients revealed that those with CH mutations with a VAF >2% had a 6.9-fold increased hazard ratio for developing tMN (P<10-6). This risk further escalated with the number and size of CH clones. Notably, patients with TP53 or spliceosome gene mutations, such as SRSF2, SF3B1, and U2AF1, exhibited the highest risk of transformation. A synthetic risk model for women with early-stage breast cancer indicated that adjuvant chemotherapy could increase the absolute 10-year risk of acute myeloid leukemia/myelodysplastic syndromes by approximately 9% for individuals in the top 1% of baseline risk, potentially negating the chemotherapy’s survival benefit in this subgroup. With 5-year OS rates for tMN hovering around 10%, the clinical importance of risk stratification is paramount. Serial sampling crucially showed that these DDR-mutant clones expanded significantly after cancer therapy but not in its absence, providing direct evidence of gene-by-environment interactions driving malignant progression.
Expanding on the prevalence and impact of pre-existing CH, a multi-cohort analysis by Krishnan et al. utilized cell-free DNA sequencing to investigate CH in patients with solid tumors.44 CH mutations, in DNMT3A, TET2, or ASXL1, were identified in 10% to 30% of patients, with a prevalence that increased significantly with age (P=0.003). Interestingly, the study found potential interactions between CH and treatment modality. In the PA.7 trial involving patients with metastatic pancreatic adenocarcinoma, individuals with CH treated with immune checkpoint inhibitors showed a trend toward improved progression-free survival (PFS) (HR=0.55; 95% CI: 0.28–1.07; P=0.079). Conversely, in the real-world PREDiCT-l cohort, patients with CH undergoing chemotherapy demonstrated a non-significant trend toward shorter PFS (HR=1.82; 95% CI: 0.98–3.38; P=0.059). OS was also unaffected by CH status in both the CO.26 (colorectal cancer) and PA.7 trials; OS data for PREDiCT-l were unavailable. These observations suggest that CH might affect treatment efficacy differently depending on the tumor type and therapeutic approach, potentially enhancing the response to immunotherapy in certain scenarios. Given this variability, integrating CH screening into cell-free DNA analyses is important, and prospective studies are needed to assess whether such screening can effectively inform clinical decisions.
Tao et al. investigated whether CH affects radiation therapy efficacy in 412 patients with solid tumors.45 CH was present in 39% of patients but was not associated with an increased risk of tumor progression after irradiation. The 12-month progression rates (16.5% for patients with CH vs. 14.5% for those without) and PFS were similar between the groups, although the lack of difference in PFS may be related to the specific study population, in which 82.7% of patients were undergoing radiation therapy for palliation of metastatic disease as opposed to definitive treatment. However, consistent with its role as an adverse prognostic marker, CH was associated with significantly shorter survival (median OS: 11.9 vs. 13.5 months; P=0.036). While subgroup analyses suggested a negative impact on prostate and thyroid cancers, this was not significant after adjusting for age. Notably, the study showed that CH may counteract the high radiosensitivity typically seen in tumors with biallelic AT M mutations. While CH generally does not seem to alter local tumor control after radiation therapy in this heterogeneous cohort, it remains a marker of shorter OS and may influence therapeutic responses depending on genetic context. Larger studies that can explore differences in radiation location and delivery mechanism, which may result in varying levels of bone marrow exposure, should help further clarify the impact of CH on radiation therapy. Taken together, these early studies highlight CH as a potentially valuable prognostic factor in oncology which could help to refine risk assessments of patients, guide therapy selection, and ultimately improve clinical outcomes. Additional studies have examined the specific role of CH within different cancer subtypes as here, too, it may be used to refine risk assessment, tailor treatments, and improve patients’ outcomes. We next focus on several tumor types for which the literature supports unique implications of CH on the risk of cancer development, response to therapy, toxicity, and OS.
Thyroid cancer
In thyroid cancer, the interplay between CH and radioactive iodine therapy is a key concern. A study of 279 patients with advanced thyroid cancer found a high prevalence of CH (37%) and CH with potential leukemogenic drivers (CH-PD) (5.2%).46 Both were linked to age and cumulative radiotherapy dose, with each 10 mCi of radioactive iodine increasing the odds of CH by 2% and CH-PD by 4%. Clinically, CH-PD was associated with significantly shorter OS in patients exposed to radioactive iodine (HR=3.75; P=0.02), with most deaths due to underlying thyroid cancer.
These concerns are heightened in anaplastic thyroid cancer, in which a recent study elucidated how TET2-mutant CH contributes to poor outcomes.47 In mouse models treated with BRAF/MEK inhibitors, the presence of TET2-mutant CH significantly shortened median OS from 147 to 68 days. Analysis of the expanded MSK-IMPACT cohort (47,530 patients) further demonstrated that CH-PD mutations were associated with a 2.68-fold increase in the hazard of death among 89 patients with anaplastic thyroid cancer (P<0.001). Mechanistically, tumor infiltration by TET2-mutant macrophages promoted drug resistance, which could be reversed by pharmacologically blocking this pathway. Thus, TET2-mutant CH may serve as both a prognostic biomarker and a potential therapeutic target. Notably, TET2-mutant clones were particularly enriched in tumor samples with lower purity, indicating that relying solely on blood-based assessments could underestimate the prevalence of TI-CH.
Colorectal cancer
CH also influences the risk and progression of colorectal cancer. A UK Biobank study of over 5,000 cases of colorectal cancer found that CH was associated with a 20% higher risk of this cancer (odds ratio [OR] =1.20; P=0.006), particularly in females and those over 60 years old.48 AT M mutations conferred a nearly 3-fold increased risk (OR=2.98; P<0.001). Notably, pathogenic germline mutations in several DDR genes have been established as risk factors for developing CH, suggesting an interplay between germline status and the risk of both CH and future cancer.49-51
Clinical data from the FIRE-3 trial comparing FOLFIRI with cetuximab or bevacizumab for frontline treatment in metastatic colorectal cancer demonstrated longer survival among patients who had CH compared to those without (HR=0.64; P=0.007) even despite higher rates for some toxicities among patients with CH (such as grade 3 or 4 diarrhea in 17.4% vs. 6.6% in those without CH; P=0.014 and thromboembolic events in 7.0% vs. 1.3%; P=0.28).52 This emphasizes a context-dependent impact of CH on patients’ outcomes.
Prostate cancer
The role of CH in prostate cancer is complex. A large-scale study analyzing whole-exome sequencing data from over 75,000 men found no association between CH and increased risk of developing prostate cancer.53 Among men with metastatic castration-resistant prostate cancer treated with enzalutamide ± abiraterone/prednisone,54 CH did not affect either PFS or OS. Among men treated with poly (ADP-ribose) polymerase (PARP) inhibitors, the treatment itself may promote CH expansion, as seen in a small study in which 45% of CH clones grew or newly appeared after therapy,55 raising concerns about long-term hematologic safety.
Breast cancer
In breast cancer, CH is linked to age and treatment toxicity, but its direct impact on survival is less clear.56 In a study of older women (age ≥65 years), CH was common, present in 44% at baseline, and clones in DDR genes (TP53, PPM1D) expanded during chemotherapy.57 This clonal expansion associated with a 2-fold higher rate of severe neutropenia and dose reductions (P=0.02).
Conversely, in young women (age ≤40 years) with early-stage disease, CH is rare (2.7%) and did not have an association with relapse or survival over a 9-year follow-up.58 In a larger analysis of patients with both early-stage and metastatic triple-negative breast cancer, pretreatment CH was common (15%), with a similar incidence in early-stage and metastatic patients. By examining clonal kinetics, the emergence of new clones is rare, although chemotherapy can triple the odds of small clones emerging.59 There was no impact of CH on survival in metastatic triple-negative breast cancer; however, the median OS was short, at 9.3 months, for both patients with and without CH. While these findings appear reassuring, it is important to note that the follow-up from this study is short, and lack of impact of CH on younger patients, in whom the prevalence is lower, would not apply to broader populations.
Ovarian cancer
In relapsed ovarian cancer, CH is common and dynamic. A study found DDR-gene CH (TP53, PPM1D, CHEK2, ATM) in 35% of patients.60 During treatment with carboplatin and niraparib (a PARP inhibitor) with or without ganetespib, an HSP90 inhibitor, TP53, and PPM1D mutant clones expanded rapidly, and two cases of tMN were traced directly to pre-existing CH. This clonal expansion was linked to the cumulative drug dose. Another study in ovarian cancer identified CH-associated mutations in 22% of patients, with an increase in prevalence with age and number of prior platinum-containing regimens.61
Lung cancer
The relationship between lung cancer and CH is complex due to common risk factors for both conditions, such as smoking and age, in addition to therapy exposures and underlying genetics. Baseline CH increases the future risk of lung cancer by ~35%, independently of smoking, as determined by two large case-control studies.62 Similarly, mosaic chromosomal alterations are a risk factor for the development of lung cancer.63 A study of nearly 2,000 individuals identified family history of lung cancer as the main predictor for CH development in younger subjects.64 In addition to the aforementioned associations with inferior outcomes for early NSCLC,30 another study linked CH with shorter survival in patients with NSCLC undergoing adjuvant therapy (multivariable analysis, HR=1.58; P=0.019).65 Taken together, the seemingly discordant clinical outcomes linked to CH likely reflect significant methodological and contextual heterogeneity across studies, rather than true biological contradictions. The definition of CH itself is variable – from deep, error-corrected sequencing that captures small subclones to broader surveys with higher VAF thresholds – meaning the very clones being analyzed differ in their clinical potential. Furthermore, cohort composition is critical; large population-based studies assessing cancer risk are fundamentally different from smaller therapeutic trials in heavily pre-treated patients, in whom the specific cancer type and therapies administered create distinct selective pressures.
A crucial distinction emerging from recent work is the location of the clone; CH confined to the blood carries a different, and often less ominous, prognosis than CH that has infiltrated the TME, where it can directly shape tumor progression. Finally, the underlying driver biology is paramount. Mutations in epigenetic regulators, such as DNMT3A and TET2, often remodel the tumor through local inflammation, whereas mutations in DDR genes, such as PPM1D and TP53, primarily confer risk through therapy-driven selection and an increased propensity for myeloid transformation. Harmonizing CH definitions and pairing tumor-blood sequencing will therefore be essential to untangle these layers and clarify the mutation- and context-specific impact of CH on patients’ outcomes.
Clonal hematopoiesis as an incidental finding and implications for patients’ care
CH can be encountered as an incidental finding in a variety of clinical contexts, which is important for practicing clinicians to recognize, given the potential for misguided therapeutic decision-making (Figure 2). The first context is germline testing, as several commonly mutated CH genes overlap with cancer predisposition syndrome genes, such as TP53, CHEK2, and AT M .66-70 Among patients undergoing germline testing from peripheral blood draws, CH should be suspected in patients with mutations detected at a lower VAF than is typical for germline mutations. As expected, the risk of detecting CH variants on germline testing is higher among older patients.71 Testing DNA from multiple tissues can establish mutation origin (hematopoietic or germline source such as skin fibroblasts) in unclear cases.72-75
Abundant evidence has demonstrated that CH may lead to challenges when interpreting cell-free DNA testing among patients with solid tumors of various types.76-78 Filtering strategies have been successfully employed to ascertain mutation origin as tumor-based or CH.79 Paired sequencing of white blood cells, when available, assists in accurate identification of mutation origin.80-82 Alternatively, artificial intelligence techniques have also been used to classify cell-free DNA origin from plasma-only samples.83 Correct attribution of mutation origin is critical, as reports have identified misattribution as a potential source of incorrect application of targeted therapies (such as using PARP inhibitors in patients with CH-derived – as opposed to tumor-derived – mutations in DDR genes or in the selection of therapy for colorectal cancer patients with CH-derived KRAS/NRAS/BRAF mutations).84-86 Circulating tumor DNA testing has been associated with similar concerns regarding CH identification; novel algorithms and filtering strategies have been developed to assist with the accurate interpretation of data.87
CH may also complicate the interpretation of variants from tumor biopsies performed in the absence of paired blood sequencing. In one study, “inferred CH” (based on reporting of common CH mutations in tumor biopsies, excluding TP53 due to its high incidence in solid malignancies) was found in 12% of men with prostate cancer undergoing tumor sequencing by a clinical-grade assay.88 Another study compared results of clinical-grade sequencing reports with matched blood sequencing, establishing that 8% of mutations reported from tumor sequencing were CH-derived as opposed to tumor-derived (defined by higher VAF in blood than tumor).27 CH mutations were typically present at low VAF within the tumor sequencing reports, with the majority of reported DNMT3A mutations being CH-derived (7/11) in contrast to the minority of TP53 mutations (2/50) being CH-derived. An analysis of sequencing reports from over 110,000 patients with solid malignancies also noted that CH variants are present at low VAF and inversely correlate with tumor purity.89 Similar to cell-free DNA, paired blood sequencing can assist in the accurate ascertainment of mutation origin.28 As the correct interpretation of mutation origin is critical for the selection of appropriate oncologic therapy, flagging suspicious variants and performing confirmatory testing when necessary with paired blood sequencing is imperative for achieving optimal clinical outcomes.90
Impact of clonal hematopoiesis on adverse effects of oncologic therapy
Risk of future myeloid neoplasms
Multiple cancer-specific studies indicate an elevated risk of tMN among patients with CH compared to those without CH.35,91,92 Elevated risk is not isolated to conventional cytotoxic chemotherapy and has been observed with novel classes of agents, including PARP inhibitors,93,94 and peptide receptor radionuclide therapy.95 Given these risks, some advocate for CH screening before starting PARP inhibitor maintenance therapy.96 Importantly, not all cancer therapies lead to clonal expansion and subsequent risk of tMN, as evidenced by the stability of clones on serial sampling of patients undergoing immune checkpoint inhibition.97
Figure 2.Incidental detection of clonal hematopoiesis. Clonal hematopoiesis (CH)-associated mutations are often detected incidentally during routine clinical testing, including germline analysis, cell-free DNA liquid biopsies, and tumor-only sequencing – particularly in older patients and at low variant allele frequencies (VAF) that can mimic true germline or tumor variants. Misclassification can lead to inappropriate diagnosis or treatment. To prevent this, use VAF thresholds, CH-specific bioinformatic filters, and, when feasible, paired blood or other tissue sequencing to confirm origin. Once validated, variants should be classified as germline, tumor-derived, or CH, guiding management toward genetic counseling, targeted therapy, or CH surveillance, respectively. HSC: hematopoietic stem cells. Created with BioRender.com.
Two scoring systems have been developed to help stratify individuals with CH for the risk of developing a myeloid neoplasm. The first is the Clonal Hematopoiesis Risk Score (CHRS), which was developed using data from 438,890 participants with exome sequencing in the UK. Biobank, with a derivation and validation cohort.19 The scoring system divided patients into low-, intermediate-, and high-risk CHIP/CCUS categories, for which the 10-year rates of myeloid neoplasm varied between 0.669%±0.0827%, 7.83%±0.807%, and 52.2%±4.96%, respectively. Factors contributing to a higher score included absence of single DNMT3A mutation, presence of high-risk mutations (JAK2, TP53, splicing factor genes including SRSF2, SF3B1, ZRSR2, and acute myeloid leukemia-like genes including IDH1, IDH2, FLT3 and RUNX1), greater than one mutation, VAF >0.2, red cell distribution width >15%, mean corpuscular volume >100 fL, presence of cytopenia, and age ≥65 years old.
The next scoring system is the Clonal Cytopenia Risk Score (CCRS), which was developed specifically to understand the risk of myeloid neoplasms in CCUS patients, incorporating data from 357 patients, 67 of whom had solid tumors.98 Three adverse prognostic variables were identified through multivariate analysis: the presence of splicing mutations, a platelet count under 100x109/L, and two or more mutations. This allowed for the stratification of patients into low-, intermediate-, and high-risk groups, with 2-year incidences of myeloid neoplasm of 6.4%, 14.1%, and 37.2%, respectively. The scoring system was independently validated in a cohort of 104 patients.
Beyond myeloid neoplasms: risk on other adverse events
The effects of CH on overall health are increasingly being established among otherwise healthy individuals, although patients with solid tumors have additional considerations. With the known adverse effect of CH on cardiovascular health, it is important to understand whether oncologic therapies associated with cardiac risk may lead to additive risk in patients with CH. In a prospective study examining the incidence of new cardiomyopathy among 236 patients undergoing treatment for solid tumors, patients with CH had a higher incidence of new cardiomyopathy compared to those without (35.6% vs. 4.8%, respectively), with CH serving as an independent predictor of cardiomyopathy in competing risk Cox regression models (HR=2.01; P=0.042).99 Among 88 patients receiving therapy with immune checkpoint inhibitors, there was a higher incidence of inhibitor-associated myocarditis among patients with CH than among those without (73% vs. 41%, repectively; P=0.003).100 Patients with CH also had a higher risk of death (60% vs. 31%; P=0.011). Outcomes may have been influenced by the specific patient population, which had a high baseline incidence of coronary artery disease (84% for patients with CH vs. 45% for patients without CH) and the single-center study design focused primarily on patients followed by cardiology.
Additional studies have supported CH as a risk factor for adverse cardiovascular outcomes, including an association with a risk of doxorubicin-associated cardiomyopathy.101 In a study of prostate cancer patients treated with androgen-receptor pathway inhibitors as part of a cooperative group clinical trial of enzalutamide ± abiraterone/ prednisone, a higher incidence of cardiovascular adverse events was observed among patients with high-VAF (>10%) CH and TET2-mutated CH.54 Increased toxicity is not a universal finding among patients with CH undergoing oncologic therapies, as no increase in adverse events was noted in another study, which included three trial cohorts of patients treated with immune checkpoint inhibition, chemotherapy, and targeted agents.44
Recommendations for counseling patients with solid tumors and clonal hematopoiesis
The most important topic for practicing clinicians is likely to be how to counsel patients appropriately when CH is identified, and it is precisely in this area that there is perhaps the greatest paucity of data; however, expert opinion can provide guidance.102,103 In this final section, we discuss our approach to counseling patients with solid tumors when CH is detected and identify areas of ongoing uncertainty for which further research is needed. As in all areas of medicine, context is critical. For example, an incidental finding of CH may have entirely different health implications for a cytopenic patient with localized breast cancer treated with curative intent chemotherapy compared to a patient with a refractory metastatic solid tumor. In addition, the impact of CH on health outcomes is highly variable. Factors contributing to worse outcomes, especially as they relate to risk of future myeloid malignancy, have been established, albeit in largely cancer-free populations.
While not appropriate to discuss with all patients, for those seeking to understand the odds of their CH evolving to myeloid neoplasm, both the CHRS and CCRS scoring systems can provide useful information. However, it is important to note that the minority of individuals in these studies had solid tumors, and that ongoing cytotoxic therapy may increase the chance of clonal evolution. This may impact the relative risk and benefit of some oncologic therapies. For example, given the risk associated with PARP inhibitors, some advocate for CH screening before starting maintenance therapy,96 although if a PARP inhibitor is the most appropriate oncologic therapy for a patient, the presence of a high-risk mutation may cause significant anxiety, so we suggest an individualized approach based on the patient’s preference and risk tolerance.104 Broadly speaking, in the setting of a high-risk CH mutation in a patient requiring ongoing therapy for an underlying solid tumor, especially therapy known to promote clonal expansion, our philosophy is that it is more important to focus on the existing cancer than on one that might develop or on potential complications. However, counseling and closer monitoring for such complications are prudent, in addition to optimizing underlying risk factors. However, in a scenario in which a patient has multiple therapeutic options, it is preferable to select the less genotoxic therapy, assuming similar efficacy.
As there is immense heterogeneity among patients with CH and solid tumors, we suggest individualizing counseling and monitoring based on both the risk of CH and the risk of the solid tumor. For patients with high-risk mutations, as defined by the risk scoring systems (CHRS and CCRS), especially patients expected to live many more years, more frequent (every 3-6 months) blood count monitoring is suggested in addition to counseling regarding known health implications such as elevated cardiovascular risk and employing risk mitigation strategies. In patients with lower-risk mutations and/or patients whose prognosis from the underlying solid tumor is unlikely to be impacted by the CH, a “less is more” approach may be more prudent. For example, for patients with an estimated survival under 1 year, the likelihood of experiencing adverse clinical consequences from the CH is low, such that additional monitoring above what is required for their oncologic care is unlikely to be necessary, assuming blood counts are not unexpectedly low. The role of bone marrow biopsy in additional workup depends on the clinical context. In patients with CH in the absence of cytopenias, bone marrow biopsies are generally not necessary. In the context of CCUS, especially when cytopenias are clinically significant and are unexplained by blood-based testing, a bone marrow biopsy is crucial for excluding overt myeloid malignancy. While there is a precedent to offer growth-factor support for patients with CCUS,105 prospective data supporting this practice are lacking. The procedure may be considered on a case-by-case basis, and we feel it is appropriate after a risk/ benefit discussion if it may help support the patient to safely receive necessary oncologic therapies.
Future directions: leveraging biological insights to guide therapeutic interventions and clinical trials
Mounting evidence implicates CH in driving a pro-inflammatory milieu that promotes both cardiovascular disease and cancer progression.106,107 Accordingly, therapeutic strategies have focused on targeting inflammatory cytokine pathways, particularly IL-1β, to mitigate CH-mediated disease. In models of ath erosclerosis, Te t 2 -deficient macrophages secrete excessive amounts of IL-1β and IL-6, thereby accelerating the formation of plaques. Pharmacological or genetic inhibition o f I L - 1 β signaling largely reverses vascular inflammation and restores endothelial function.20,108,109
Translational evidence from the CANTOS trial strongly supports the potential of IL-1β blockade in modifying CH-driven disease.110 In an exploratory analysis, patients harboring TET2-mutant clones derived the greatest reduction in major adverse cardiovascular events with canakinumab and experienced the lowest incidence of new non-hematologic malignancies, particularly lung cancer. These findings suggest that targeting IL-1β can mitigate both vascular and oncologic consequences of CH-associated inflammation. However, subsequent attempts to translate these observations into the oncology setting faced challenges. In the CANOPY-A phase III trial, canakinumab added to adjuvant therapy after resection and chemotherapy for early-stage NSCLC failed to improve disease-free survival despite robust inhibition of the IL-1β pathway and reductions in C-reactive protein levels.111 Possible explanations include lower baseline inflammatory status compared to that in patients in the CANTOS trial, differences in timing relative to tumor development, and the distinct biology of established versus preclinical disease. Together, these studies highlight that while IL-1β inhibition shows promise for cancer prevention in high-risk CH carriers, it may be ineffective once a CH-primed TME is fully established, suggesting that cytokine blockade alone is insufficient at later stages of disease progression. Careful attention to timing, the selection of patients, and biomarker-driven approaches will be essential to realize the full clinical potential of targeting IL-1β in this context.
Together, these insights justify the design of prospective, mutation-informed clinical trials that intervene earlier in the disease trajectory. Potential strategies include preventing cardiovascular events and second cancers in high-risk CH carriers or integrating anti-inflammatory therapies into peri-operative and minimal residual disease settings for patients with TICH clones. Future trials should incorporate serial genomic monitoring to track clonal dynamics, integrate inflammatory biomarkers, and explore rational therapeutic combinations – for example, IL-1β blockade combined with immune checkpoint inhibition – to target both myeloid-driven inflammation and T-cell exhaustion simultaneously. Determining whether early, targeted cytokine blockade can translate the biology of CH into tangible clinical benefit represents a critical next frontier for the field.
Conclusions
CH is common in oncology and is not always harmless: most studies, including those in patients with solid tumors, link it to poorer outcomes, although its impact varies with the mutation and clinical context. There is wide variability in the studies that have been discussed in this review, including the definition of CH, the methodology by which mutations were detected, and the uniformity (or lack thereof) of patients being studied, especially with respect to the ways in which the underlying cancers were being treated, and so it is important to understand the clinical context in which mutations are detected in practice, to determine the applicability to any given patient. Future studies should focus on larger populations with uniform definitions of CH, with exploration into the impact of individual mutations, as some variants may be more or less harmful than others. Although we do not advocate for routine CH testing, practicing oncologists should be aware of its potential as an incidental finding during routine testing of patients with solid tumors. We recommend specifically testing for CH in the setting of an unexplained cytopenia, as this may inform the risk of developing either a de novo myeloid neoplasm or tMN upon exposure to therapies that promote clonal expansion. Further studies examining CH may refine its clinical implications and guide mechanistic-based interventional approaches, which should be focused on those patients at highest risk of CH-driven complications, which could then lead to improved outcomes for the patients.
Footnotes
- Received May 31, 2025
- Accepted August 27, 2025
Correspondence
Disclosures
CCC has received honoraria from/served as a consultant for AbbVie, Allogene, AstraZeneca, Beigene, BMS, Genentech, Janssen, Lilly, Octapharma and Pharmacyclics; has served on speaker’s bureaus for AbbVie, AstraZeneca, Beigene and Lilly; has stocks in Geron and Pfizer; and has received research funding (paid to her institution) from AbbVie, AstraZeneca, Beigene, CarnaBio and Lilly. JCM has no conflicts of interest to disclose.
Funding
JCM receives support from the National Institutes of Health (grant 2K12CA120780-16), the UNC School of Medicine Physician Scientist Training Program, and pilot awards from the UNC Lineberger Comprehensive Cancer Center and the UNC RNA Discovery Center.
Acknowledgments
Figures were created with BioRender and we gratefully acknowledge Archishma Kavalipati for her figure-editing assistance.
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