Aubrey K Hubbard,Derek W Brown,Jie Liu,Irenaeus C Chan,Weiyin Zhou,Giulio Genovese,Alexander DePaulis,Sruthi Srinivasan,Shu-Hong Lin,Batel Blechter,Ian D Buller,Qinglin Zeng,Yin Cao,Wen-Yi Huang,Neal D Freedman,Haoyu Zhang,Diptavo Dutta,Stephen J Chanock,Kelly L Bolton,Mitchell J Machiela
{"title":"种系和体细胞变异的整合提高了慢性淋巴细胞白血病的风险分层。","authors":"Aubrey K Hubbard,Derek W Brown,Jie Liu,Irenaeus C Chan,Weiyin Zhou,Giulio Genovese,Alexander DePaulis,Sruthi Srinivasan,Shu-Hong Lin,Batel Blechter,Ian D Buller,Qinglin Zeng,Yin Cao,Wen-Yi Huang,Neal D Freedman,Haoyu Zhang,Diptavo Dutta,Stephen J Chanock,Kelly L Bolton,Mitchell J Machiela","doi":"10.1158/0008-5472.can-24-4251","DOIUrl":null,"url":null,"abstract":"Both acquired mutations and germline genetic variation are known risk factors for chronic lymphocytic leukemia (CLL). Joint characterization of germline, acquired, and clinical risk has the potential to improve CLL risk prediction. Here, we investigated whether inclusion of a CLL-associated polygenic score (PGS) and two common types of clonal hematopoiesis (CH), autosomal mosaic chromosomal alterations (mCAs) and CH of indeterminate potential (CHIP), could improve CLL risk stratification in 436,784 participants in the UK Biobank and a replication set of 35,382 participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Individual mCAs on chromosomes 11, 12, 23, 14, and 22, as well as CHIP mutations in known lymphoid driver genes, were strongly associated with CLL risk. Integrative models that included sex, age, smoking status, blood cell traits, genetic similarity, CLL PGS, autosomal mCAs, and CHIP had the greatest discriminative ability with predictive utility waning five years after measurement of CH. Sensitivity analyses removing individuals with abnormal blood cell counts and CH commonly observed in CLL showed persistent increased discriminative ability. Evaluating cumulative absolute risk, the CLL PGS and CH had improved ability to stratify CLL cases into higher risk categories and controls into lower risk categories. Overall, this analysis details the enhanced ability to identify individuals at high risk of CLL when integrating germline and somatic data derived from peripheral blood.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"18 5 1","pages":""},"PeriodicalIF":12.5000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integration of Germline and Somatic Variation Improves Chronic Lymphocytic Leukemia Risk Stratification.\",\"authors\":\"Aubrey K Hubbard,Derek W Brown,Jie Liu,Irenaeus C Chan,Weiyin Zhou,Giulio Genovese,Alexander DePaulis,Sruthi Srinivasan,Shu-Hong Lin,Batel Blechter,Ian D Buller,Qinglin Zeng,Yin Cao,Wen-Yi Huang,Neal D Freedman,Haoyu Zhang,Diptavo Dutta,Stephen J Chanock,Kelly L Bolton,Mitchell J Machiela\",\"doi\":\"10.1158/0008-5472.can-24-4251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Both acquired mutations and germline genetic variation are known risk factors for chronic lymphocytic leukemia (CLL). Joint characterization of germline, acquired, and clinical risk has the potential to improve CLL risk prediction. Here, we investigated whether inclusion of a CLL-associated polygenic score (PGS) and two common types of clonal hematopoiesis (CH), autosomal mosaic chromosomal alterations (mCAs) and CH of indeterminate potential (CHIP), could improve CLL risk stratification in 436,784 participants in the UK Biobank and a replication set of 35,382 participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Individual mCAs on chromosomes 11, 12, 23, 14, and 22, as well as CHIP mutations in known lymphoid driver genes, were strongly associated with CLL risk. Integrative models that included sex, age, smoking status, blood cell traits, genetic similarity, CLL PGS, autosomal mCAs, and CHIP had the greatest discriminative ability with predictive utility waning five years after measurement of CH. Sensitivity analyses removing individuals with abnormal blood cell counts and CH commonly observed in CLL showed persistent increased discriminative ability. Evaluating cumulative absolute risk, the CLL PGS and CH had improved ability to stratify CLL cases into higher risk categories and controls into lower risk categories. 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Integration of Germline and Somatic Variation Improves Chronic Lymphocytic Leukemia Risk Stratification.
Both acquired mutations and germline genetic variation are known risk factors for chronic lymphocytic leukemia (CLL). Joint characterization of germline, acquired, and clinical risk has the potential to improve CLL risk prediction. Here, we investigated whether inclusion of a CLL-associated polygenic score (PGS) and two common types of clonal hematopoiesis (CH), autosomal mosaic chromosomal alterations (mCAs) and CH of indeterminate potential (CHIP), could improve CLL risk stratification in 436,784 participants in the UK Biobank and a replication set of 35,382 participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Individual mCAs on chromosomes 11, 12, 23, 14, and 22, as well as CHIP mutations in known lymphoid driver genes, were strongly associated with CLL risk. Integrative models that included sex, age, smoking status, blood cell traits, genetic similarity, CLL PGS, autosomal mCAs, and CHIP had the greatest discriminative ability with predictive utility waning five years after measurement of CH. Sensitivity analyses removing individuals with abnormal blood cell counts and CH commonly observed in CLL showed persistent increased discriminative ability. Evaluating cumulative absolute risk, the CLL PGS and CH had improved ability to stratify CLL cases into higher risk categories and controls into lower risk categories. Overall, this analysis details the enhanced ability to identify individuals at high risk of CLL when integrating germline and somatic data derived from peripheral blood.
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.