Nature Communications (Jan 2021)
Interplay between chromosomal alterations and gene mutations shapes the evolutionary trajectory of clonal hematopoiesis
- Teng Gao,
- Ryan Ptashkin,
- Kelly L. Bolton,
- Maria Sirenko,
- Christopher Fong,
- Barbara Spitzer,
- Kamal Menghrajani,
- Juan E. Arango Ossa,
- Yangyu Zhou,
- Elsa Bernard,
- Max Levine,
- Juan S. Medina Martinez,
- Yanming Zhang,
- Sebastià Franch-Expósito,
- Minal Patel,
- Lior Z. Braunstein,
- Daniel Kelly,
- Mariko Yabe,
- Ryma Benayed,
- Nicole M. Caltabellotta,
- John Philip,
- Ederlinda Paraiso,
- Simon Mantha,
- David B. Solit,
- Luis A. Diaz,
- Michael F. Berger,
- Virginia Klimek,
- Ross L. Levine,
- Ahmet Zehir,
- Sean M. Devlin,
- Elli Papaemmanuil
Affiliations
- Teng Gao
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Ryan Ptashkin
- Department of Pathology, Memorial Sloan Kettering Cancer Center
- Kelly L. Bolton
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center
- Maria Sirenko
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Christopher Fong
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Barbara Spitzer
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center
- Kamal Menghrajani
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center
- Juan E. Arango Ossa
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Yangyu Zhou
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Elsa Bernard
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Max Levine
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Juan S. Medina Martinez
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- Yanming Zhang
- Department of Pathology, Cytogenetics Laboratory, Memorial Sloan Kettering Cancer Center
- Sebastià Franch-Expósito
- Department of Pathology, Memorial Sloan Kettering Cancer Center
- Minal Patel
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center
- Lior Z. Braunstein
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center
- Daniel Kelly
- Department of Information Systems, Memorial Sloan Kettering Cancer Center
- Mariko Yabe
- Department of Pathology, Memorial Sloan Kettering Cancer Center
- Ryma Benayed
- Department of Pathology, Memorial Sloan Kettering Cancer Center
- Nicole M. Caltabellotta
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center
- John Philip
- Department of Health Informatics, Memorial Sloan Kettering Cancer Center
- Ederlinda Paraiso
- Center for Strategy & Innovation, Memorial Sloan Kettering Cancer Center
- Simon Mantha
- Department of Medicine, Hematology Service, Memorial Sloan Kettering Cancer Center
- David B. Solit
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
- Luis A. Diaz
- Department of Medicine, Memorial Sloan Kettering Cancer Center
- Michael F. Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center
- Virginia Klimek
- Department of Medicine, Hematology Service, Memorial Sloan Kettering Cancer Center
- Ross L. Levine
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center
- Ahmet Zehir
- Department of Pathology, Memorial Sloan Kettering Cancer Center
- Sean M. Devlin
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center
- Elli Papaemmanuil
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center
- DOI
- https://doi.org/10.1038/s41467-020-20565-7
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 11
Abstract
Patients with solid cancers have high rates of clonal haematopoiesis associated with increased risk of secondary leukemias. Here, by using peripheral blood sequencing data from patients with solid non-hematologic cancer, the authors profile the landscape of mosaic chromosomal alterations and gene mutations, defining patients at high risk of leukemia progression.