Cancer therapy shapes the fitness landscape of clonal hematopoiesis
Open accessAbstract
Acquired mutations are pervasive across normal tissues. However, understanding of the processes that drive transformation of certain clones to cancer is limited. Here we study this phenomenon in the context of clonal hematopoiesis (CH) and the development of therapy-related myeloid neoplasms (tMNs). We find that mutations are selected differentially based on exposures. Mutations in ASXL1 are enriched in current or former smokers, whereas cancer therapy with radiation, platinum and topoisomerase II inhibitors preferentially selects for mutations in DNA damage response genes (TP53, PPM1D, CHEK2). Sequential sampling provides definitive evidence that DNA damage response clones outcompete other clones when exposed to certain therapies. Among cases in which CH was previously detected, the CH mutation was present at tMN diagnosis. We identify the molecular characteristics of CH that increase risk of tMN. The increasing implementation of clinical sequencing at diagnosis provides an opportunity to identify patients at risk of tMN for prevention strategies.
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Environmental factors and exposure to certain substances can significantly alter clonal composition, promoting positive selection and accelerating the physiological restriction of the stem cell pool.
“While aging plays a critical role in driving these changes, it is well established that environmental factors and exposure to certain substances can significantly alter clonal composition promoting positive selection and accelerating the physiological restriction of the stem cell pool. 25-27”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [25]
The Main section, “Clinical parameters shape the fitness landscape of CH” (page unavailable), says that cancer treatment, smoking, and aging affect the relative fitness of hematopoietic clones in a gene-dependent manner. The “Clonal dynamics” section reports that cancer therapy selects for particular clones. Our copy does not establish that these exposures accelerate the physiological restriction of the stem cell pool. (LLM, conf=0.86)
Experimental — accuracy not yet measuredAging plays a critical role in driving changes in clonal composition.
“While aging plays a critical role in driving these changes, it is well established that environmental factors and exposure to certain substances can significantly alter clonal composition promoting positive selection and accelerating the physiological restriction of the stem cell pool. 25-27”
From Evolution of Multiple Myeloma from a Genomic Perspective (2026) · cites this paper as [25]
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Cites
Age-related clonal hematopoiesis associated with adverse outcomes
Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408617 · Cited by 4,841 · see citing works
Self-citationGenomic classification and prognosis in acute myeloid leukemia
Papaemmanuil, E., Gerstung, M., Bullinger, L., Gaidzik, V. I., Paschka, P., Roberts, N. D., Potter, N. E., Heuser, M., Thol, F., Bolli, N., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1516192 · Cited by 4,350 · see citing works
Self-citationGreaves, M., & Maley, C. C. (2012) · Nature · doi:10.1038/nature10762 · Cited by 3,162 · see citing works
Pan-cancer analysis of whole genomes
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature · doi:10.1038/s41586-020-1969-6 · Cited by 3,064 · see citing works
Self-citationClonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing
Ding, L., Ley, T. J., Larson, D. E., Miller, C. A., Koboldt, D. C., Welch, J. S., Ritchey, J. K., Young, M. A., Lamprecht, T., McLellan, M. D., et al. (2012) · Nature · doi:10.1038/nature10738 · Cited by 1,993 · see citing works
The origin and evolution of mutations in acute myeloid leukemia
Welch, J. S., Ley, T. J., Link, D. C., Miller, C. A., Larson, D. E., Koboldt, D. C., Wartman, L. D., Lamprecht, T. L., Liu, F., Xia, J., et al. (2012) · Cell · doi:10.1016/j.cell.2012.06.023 · Cited by 1,575 · see citing works
Tissue-specific mutation accumulation in human adult stem cells during life
Blokzijl, F., de Ligt, J., Jager, M., Sasselli, V., Roerink, S., Sasaki, N., Huch, M., Boymans, S., Kuijk, E., Prins, P., et al. (2016) · Nature · doi:10.1038/nature19768 · Cited by 935 · see citing works
Prediction of acute myeloid leukaemia risk in healthy individuals
Abelson, S., Collord, G., Ng, S. W. K., Weissbrod, O., Mendelson Cohen, N., Niemeyer, E., Barda, N., Zuzarte, P. C., Heisler, L., Sundaravadanam, Y., et al. (2018) · Nature · doi:10.1038/s41586-018-0317-6 · Cited by 850 · see citing works
Inherited causes of clonal haematopoiesis in 97,691 whole genomes
Bick, A. G., Weinstock, J. S., Nandakumar, S. K., Fulco, C. P., Bao, E. L., Zekavat, S. M., Szeto, M. D., Liao, X., Leventhal, M. J., Nasser, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2819-2 · Cited by 733 · see citing works
Self-citationAge-related remodelling of oesophageal epithelia by mutated cancer drivers
Yokoyama, A., Kakiuchi, N., Yoshizato, T., Nannya, Y., Suzuki, H., Takeuchi, Y., Shiozawa, Y., Sato, Y., Aoki, K., Kim, S. K., et al. (2019) · Nature · doi:10.1038/s41586-018-0811-x · Cited by 628 · cited 1× · see citing works
“This ratio was chosen based on minimizing sensitivity and specificity of CH calls through simulations of leukocyte contamination in the tumor (see Supplementary Notes and Supplementary Figures 11 and 12).”
Somatic mutations precede acute myeloid leukemia years before diagnosis
Desai, P., Mencia-Trinchant, N., Savenkov, O., Simon, M. S., Cheang, G., Lee, S., Samuel, M., Ritchie, E. K., Guzman, M. L., Ballman, K. V., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0081-z · Cited by 619 · see citing works
Leukemia-associated somatic mutations drive distinct patterns of age-related clonal hemopoiesis
McKerrell, T., Park, N., Moreno, T., Grove, C. S., Ponstingl, H., Stephens, J., Crawley, C., Craig, J., Scott, M. A., Hodkinson, C., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.02.005 · Cited by 534 · see citing works
PPM1D Mutations Drive Clonal Hematopoiesis in Response to Cytotoxic Chemotherapy
Hsu, J. I., Dayaram, T., Tovy, A., De Braekeleer, E., Jeong, M., Wang, F., Zhang, J., Heffernan, T. P., Gera, S., Kovacs, J. J., et al. (2018) · Cell stem cell · doi:10.1016/j.stem.2018.10.004 · Cited by 425 · see citing works
Suda, K., Nakaoka, H., Yoshihara, K., Ishiguro, T., Tamura, R., Mori, Y., Yamawaki, K., Adachi, S., Takahashi, T., Kase, H., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.037 · Cited by 414 · see citing works
Flagged first, then by citations
Research works printed but not linked: 39
- [1]Armitage P & Doll R The Age Distribution of Cancer and a Multi-stage Theory of Carcinogenesis. British Journal of Cancer vol. 8 1– 12 (1954). 13172380 PMC2007940
- [3]Alexandrov LB The Repertoire of Mutational Signatures in Human Cancer. doi: 10.1101/322859. PMC7054213 32025018 · DOI
- [4]Sabarinathan R The whole-genome panorama of cancer drivers. doi: 10.1101/190330. · DOI
- [5]Yates LR & Campbell PJ Evolution of the cancer genome. Nature Reviews Genetics vol. 13 795– 806 (2012). PMC3666082 23044827
- [8]Martincorena I Somatic mutant clones colonize the human esophagus with age. Science 362, 911– 917 (2018). 30337457 PMC6298579
- [9]Martincorena I, Jones PH & Campbell PJ Constrained positive selection on cancer mutations in normal skin. Proceedings of the National Academy of Sciences of the United States of America vol. 113 E1128–9 (2016). PMC4780655 26884187
- [10]Martincorena I Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin. Science 348, 880– 886 (2015). 25999502 PMC4471149
- [14]Genovese G Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N. Engl. J. Med. 371, 2477– 2487 (2014). 25426838 PMC4290021
- [16]Xie M Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nature Medicine vol. 20 1472– 1478 (2014). PMC4313872 25326804
- [17]Fernandez-Antoran D Outcompeting p53-Mutant Cells in the Normal Esophagus by Redox Manipulation. Cell Stem Cell 25, 329–341.e6 (2019). PMC6739485 31327664
- [19]Wong TN Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia. Nature 518, 552– 555 (2015). 25487151 PMC4403236
- [22]Morton LM Evolving risk of therapy-related acute myeloid leukemia following cancer chemotherapy among adults in the United States, 1975–2008. Blood 121, 2996– 3004 (2013). 23412096 PMC3624944
- [23]McNerney ME, Godley LA & Le Beau MM Therapy-related myeloid neoplasms: when genetics and environment collide. Nature Reviews Cancer vol. 17 513– 527 (2017). 28835720 PMC5946699
- [24]Coombs CC Therapy-Related Clonal Hematopoiesis in Patients with Non-hematologic Cancers Is Common and Associated with Adverse Clinical Outcomes. Cell Stem Cell 21, 374–382.e4 (2017). PMC5591073 28803919
- [25]Chakravarty D OncoKB: A Precision Oncology Knowledge Base. JCO Precis Oncol 2017, (2017). PMC5586540 28890946
- [26]Papaemmanuil E Somatic SF3B1 mutation in myelodysplasia with ring sideroblasts. N. Engl. J. Med. 365, 1384– 1395 (2011). 21995386 PMC3322589
- [28]Grinfeld J Classification and Personalized Prognosis in Myeloproliferative Neoplasms. N. Engl. J. Med. 379, 1416– 1430 (2018). 30304655 PMC7030948
- [29]Bick AG Inherited Causes of Clonal Hematopoiesis of Indeterminate Potential in TOPMed Whole Genomes. bioRxiv 782748 (2019) doi: 10.1101/782748. · DOI
- [30]Abelson S Prediction of acute myeloid leukaemia risk in healthy individuals. Nature 559, 400– 404 (2018). 29988082 PMC6485381
- [31]McNerney ME, Godley LA & Le Beau MM Therapy-related myeloid neoplasms: when genetics and environment collide. Nature Reviews Cancer vol. 17 513– 527 (2017). 28835720 PMC5946699
- [32]Lindsley RC Acute myeloid leukemia ontogeny is defined by distinct somatic mutations. Blood 125, 1367– 1376 (2015). 25550361 PMC4342352
- [34]Cancer Genome Atlas Research Network Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N. Engl. J. Med. 368, 2059– 2074 (2013). 23634996 PMC3767041
- [35]Gillis NK Clonal haemopoiesis and therapy-related myeloid malignancies in elderly patients: a proof-of-concept, case-control study. Lancet Oncol. 18, 112– 121 (2017). 27927582 PMC7771361
- [36]Takahashi K Germline polymorphisms and the risk of therapy-related myeloid neoplasms. Best Pract. Res. Clin. Haematol. 32, 24– 30 (2019). 30927971
- [37]Gibson CJ Clonal Hematopoiesis Associated With Adverse Outcomes After Autologous Stem-Cell Transplantation for Lymphoma. J. Clin. Oncol. 35, 1598– 1605 (2017). 28068180 PMC5455707
- [38]Young AL, Tong RS, Birmann BM & Druley TE Clonal haematopoiesis and risk of acute myeloid leukemia. Haematologica (2019) doi: 10.3324/haematol.2018.215269. PMC6959179 31004019 · DOI
- [39]Fianchi L Characteristics and outcome of therapy-related myeloid neoplasms: Report from the Italian network on secondary leukemias. Am. J. Hematol. 90, E80– 5 (2015). 25653205
- [40]Choudhury PP iCARE: R package to build, validate and apply absolute risk models. doi: 10.1101/079954. PMC7001949 32023287 · DOI
- [41]Maas P Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States. JAMA Oncol 2, 1295– 1302 (2016). 27228256 PMC5719876
- [42]Candido Dos Reis FJ An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation. Breast Cancer Res. 19, 58 (2017). 28532503 PMC5440946
- [43]Meng A, Wang Y, Van Zant G & Zhou D Ionizing radiation and busulfan induce premature senescence in murine bone marrow hematopoietic cells. Cancer Res. 63, 5414– 5419 (2003). 14500376
- [44]Hu W Mechanistic Investigation of Bone Marrow Suppression Associated with Palbociclib and its Differentiation from Cytotoxic Chemotherapies. Clin. Cancer Res. 22, 2000– 2008 (2016). 26631614
- [45]Meisel M Microbial signals drive pre-leukaemic myeloproliferation in a Tet2-deficient host. Nature 557, 580– 584 (2018). 29769727 PMC6238954
- [46]Zhu M Somatic Mutations Increase Hepatic Clonal Fitness and Regeneration in Chronic Liver Disease. Cell 177, 608–621.e12 (2019). PMC6519461 30955891
- [47]Cheng DT Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology. J. Mol. Diagn. 17, 251– 264 (2015). 25801821 PMC5808190
- [48]Schmieder R & Edwards R Quality control and preprocessing of metagenomic datasets. Bioinformatics 27, 863– 864 (2011). 21278185 PMC3051327
- [49]Tate JG COSMIC: the Catalogue Of Somatic Mutations In Cancer. Nucleic Acids Res. 47, D941– D947 (2019). 30371878 PMC6323903
- [50]Papaemmanuil E Identification of Novel Somatic Mutations in SF3B1, a Gene Encoding a Core Component of RNA Splicing Machinery, in Myelodysplasia with Ring Sideroblasts and Other Common Cancers. European Journal of Cancer vol. 47 7 (2011).
- [52]Wolff AC Risk of marrow neoplasms after adjuvant breast cancer therapy: the national comprehensive cancer network experience. J. Clin. Oncol. 33, 340– 348 (2015). 25534386 PMC4302215
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- Authors
- Bolton, K. L., Ptashkin, R. N., Gao, T., Braunstein, L., Devlin, S. M., Kelly, D., Patel, M., Berthon, A., Syed, A., Yabe, M., Coombs, C. C., Caltabellotta, N. M., Walsh, M., Offit, K., Stadler, Z., Mandelker, D., Schulman, J., Patel, A., Philip, J., Bernard, E., Gundem, G., Ossa, J. E. A., Levine, M., Martinez, J. S. M., Farnoud, N., Glodzik, D., Li, S., Robson, M. E., Lee, C., Pharoah, P. D. P., Stopsack, K. H., Spitzer, B., Mantha, S., Fagin, J., Boucai, L., Gibson, C. J., Ebert, B. L., Young, A. L., Druley, T., Takahashi, K., Gillis, N., Ball, M., Padron, E., Hyman, D. M., Baselga, J., Norton, L., Gardos, S., Klimek, V. M., Scher, H., Bajorin, D., Paraiso, E., Benayed, R., Arcila, M. E., Ladanyi, M., Solit, D. B., Berger, M. F., Tallman, M., Garcia-Closas, M., Chatterjee, N., Diaz, L. A., Levine, R. L., Morton, L. M., Zehir, A., & Papaemmanuil, E.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- University of North Carolina at Chapel Hill (US)
- National Institutes of Health (US)
- University of Cambridge (GB)
- Dana-Farber Cancer Institute (US)
- Washington University in St. Louis (US)
- The University of Texas MD Anderson Cancer Center (US)
- Moffitt Cancer Center (US)
- University of Cologne (DE)
- AstraZeneca (United Kingdom) (GB)
- Johns Hopkins University (US)
- Corresponding author
- Zehir, Ahmet
- Papaemmanuil, Elli
- ORCID
- Bolton, Kelly L.
- Ptashkin, Ryan N.
- Gao, Teng
- Braunstein, Lior
- Devlin, Sean M.
- Kelly, Daniel
- Syed, Aijazuddin
- Yabe, Mariko
- Coombs, Catherine C.
- Caltabellotta, Nicole M.
- Offit, Kenneth
- Stadler, Zsofia
- Mandelker, Diana
- Schulman, Jessica
- Philip, John
- Bernard, Elsa
- Gundem, Gunes
- Levine, Max
- Farnoud, Noushin
- Robson, Mark E.
- Lee, Choonsik
- Pharoah, Paul D. P.
- Stopsack, Konrad H.
- Spitzer, Barbara
- Mantha, Simon
- Fagin, James
- Boucai, Laura
- Gibson, Christopher J.
- Ebert, Benjamin L.
- Young, Andrew L.
- Druley, Todd
- Takahashi, Koichi
- Gillis, Nancy
- Ball, Markus
- Padron, Eric
- Hyman, David M.
- Baselga, Jose
- Norton, Larry
- Gardos, Stuart
- Scher, Howard
- Bajorin, Dean
- Paraiso, Eder
- Benayed, Ryma
- Arcila, Maria E.
- Ladanyi, Marc
- Solit, David B.
- Berger, Michael F.
- Tallman, Martin
- Garcia-Closas, Montserrat
- Chatterjee, Nilanjan
- Diaz, Luis A.
- Levine, Ross L.
- Morton, Lindsay M.
- Zehir, Ahmet
- Papaemmanuil, Elli
- Venue
- Nature Genetics
- Published
- 2020-10-26
- Volume
- 52
- Issue
- 11
- Pages
- 1219-1226
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC7891089
- OpenAlex
- W3093490071
- Cited by
- 751
- References
- 14
- Citations by year
- 2026: 101 · 2025: 145 · 2024: 133 · 2023: 151 · 2022: 137 · 2021: 76 · 2020: 8
- FWCI
- 58.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- European Hematology Association
- Gabrielle’s Angel Foundation for Cancer Research
- V Foundation for Cancer Research
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (K08 CA241318)
- American Society of Hematology
- Edward P. Evans Foundation
- Starr Cancer Consortium
- U.S. Department of Health & Human Services | National Institutes of Health (P50 CA172012, K12 CA120780, UG1 HL069315)
- Conquer Cancer Foundation
- U.S. Department of Defense (W81XWH-18-1-0330)
- Cycle for Survival
- EIF | Stand Up To Cancer (SU2C-AACR-DT22-17)
- Topics
- Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Epidemiology › Multiple and Secondary Primary Cancers
- Keywords
- clonal hematopoiesis, therapy-related myeloid neoplasms, fitness landscape, clonal selection, ASXL1 mutation, DNA damage response genes, TP53, PPM1D, CHEK2, radiation exposure, topoisomerase II inhibitors, environmental exposure, clonal evolution, cancer risk prediction, clinical sequencing
- MeSH terms
- Clonal Hematopoiesis, Adolescent, Adult, Aged, Aged, 80 and over, Antineoplastic Agents, Cell Transformation, Neoplastic, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Leukemia, Myeloid, Male, Middle Aged, Models, Biological, Mutation, Neoplasms, Selection, Genetic, Cohort Studies, Neoplasms, Second Primary, Young Adult, Genetic Fitness, Clonal Evolution
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