Evolutionary landscape of clonal hematopoiesis in 3,359 individuals from the general population

被引:27
|
作者
van Zeventer, Isabelle A. [1 ]
de Graaf, Aniek O. [2 ]
Salzbrunn, Jonas B. [1 ]
Nolte, Ilja M. [3 ]
Kamphuis, Priscilla [1 ]
Dinmohamed, Avinash [4 ,5 ,6 ]
van der Reijden, Bert A. [2 ]
Schuringa, Jan Jacob [1 ]
Jansen, Joop H. [2 ]
Huls, Gerwin [1 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Hematol, Groningen, Netherlands
[2] Radboud Univ Nijmegen Med Ctr, Dept Lab Med, Lab Hematol, Nijmegen, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Epidemiol, Groningen, Netherlands
[4] Netherlands Comprehens Canc Org, Dept Res & Dev, Utrecht, Netherlands
[5] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[6] Vrije Univ Amsterdam, Canc Ctr Amsterdam, Dept Hematol, Amsterdam UMC, Amsterdam, Netherlands
关键词
SOMATIC MUTATIONS; DRIVER MUTATIONS; CANCER; COMMON; CELLS; RISK; DYNAMICS; LEUKEMIA; DISEASE; STRESS;
D O I
10.1016/j.ccell.2023.04.006
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Knowledge about evolution of clonal hematopoiesis, which may drive malignant progression, is crucial for clinical decision-making. We investigated the landscape of clonal evolution by error-corrected sequencing on 7,045 sequential samples from 3,359 individuals in the prospective population-based Lifelines cohort, with a special focus on cytosis and cytopenia. Spliceosome (SRSF2/U2AF1/SF3B1) and JAK2 mutated clones show highest growth rates over a median 3.6-year period, while clone sizes for DNMT3A and TP53 increase only marginally, independent of cytosis or cytopenia. Nevertheless, large differences are observed between individuals carrying the same mutation, indicative of modulation by non-mutation-related factors. Clonal expansion is not dependent on classical cancer risk factors (e.g., smoking). Risk for incident myeloid malignancy diagnosis is highest for JAK2, spliceosome, or TP53 mutations and absent for DNMT3A, and it is mostly preceded by cytosis or cytopenia. The results provide important insight into high-risk evolutionary patterns to guide monitoring of "CHIP"and "CCUS."
引用
收藏
页码:1017 / +
页数:20
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