Established Cancer Predisposition Genes in Single and Multiple Cancer Diagnoses.
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2025-10
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Abstract
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Much of the understanding of cancer risk associated with rare pathogenic variants (RPVs) is derived from family-based studies or clinically ascertained samples, which may be limited by ascertainment and selection bias.Objective
To quantify associations between RPVs in previously implicated cancer predisposition genes and single and multiple cancer diagnoses in a large population-based study.Design, setting, and participants
In this genetic association study, whole-exome sequencing data were used from the UK Biobank, a UK population-based cohort that enrolled participants aged 40 to 69 years between 2006 and 2010. Participants who were involved in the whole-exome sequencing release of 200 000 genomes in 2020 were included in this study. This analysis included White participants only, as findings in other racial and ethnic groups had small sample sizes. Participants were diagnosed before or after biobank enrollment until March 2024.Exposures
The sequencing data of a set of 96 previously implicated cancer predisposition genes were analyzed and compared using 2 methods. To determine the statistical significance of an association, a robust optimal sequence kernel association test was used, while odds ratios (ORs) and 95% CIs were obtained through Firth logistic regression.Main outcomes and measures
The primary study outcome was the diagnosis of 1 of 11 cancers (bladder, breast, central nervous system, colorectal, lung, melanoma, ovary, pancreatic, prostate, renal, thyroid) defined by relevant diagnosis codes in inpatient hospital diagnosis, cancer registry, and/or death registry data.Results
Data from 183 627 participants (101 414 [55.2%] female) were analyzed, including 25 824 participants with at least 1 cancer diagnosis, of whom 23 704 (91.8%) had a single cancer diagnosis and 2130 (8.2%) had 2 or more cancer diagnoses. A total of 157 793 controls had no cancer diagnosis. The median (IQR) age was 62 (56-65) years in participants with at least 1 cancer diagnosis, compared to 57 (50-63) years in those without a cancer diagnosis. Genetic variation in 16 genes was significantly associated with at least 1 cancer of interest (ATM, BARD1, BRCA1, BRCA2, BRIP1, CDKN2A, CHEK2, HOXB13, MITF, MLH1, MSH2, MSH6, NF1, PALB2, RAD51C, and RAD51D). The presence of an RPV in 1 of these 16 genes was associated with increased odds of at least 1 cancer (OR, 1.87; 95% CI, 1.76-1.98) and multiple primary cancers (OR, 2.56; 95% CI, 2.18-2.99). Carrier frequency was 6.28% and 8.36%, respectively.Conclusions and relevance
This genetic association study demonstrates several established associations between cancer predisposition genes and cancer diagnoses in an unselected population-based study. These results also demonstrate that RPVs in cancer predisposition genes are associated with multiple primary cancer diagnoses, suggesting that multigene panel testing may be warranted in these individuals.Type
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Shevach, Jeffrey W, Jianfeng Xu, Nathan Snyder, Jun Wei, Zhuqing Shi, Huy Tran, S Lilly Zheng, Jennifer L Beebe-Dimmer, et al. (2025). Established Cancer Predisposition Genes in Single and Multiple Cancer Diagnoses. JAMA oncology, 11(10). pp. 1222–1230. 10.1001/jamaoncol.2025.2879 Retrieved from https://hdl.handle.net/10161/33614.
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Scholars@Duke
Jeffrey William Shevach
Kathleen Ann Cooney
Dr. Cooney is Chair of the Duke Department of Medicine.
She is a medical oncologist focused in caring for men with prostate cancer, and is internationally known for her investigations focused on the genetic epidemiology of prostate cancer.
Her research led to the important discovery of a recurrent mutation in the HOXB13 gene that increases the chances of being diagnosed with prostate cancer and is estimated to account for 5 percent of hereditary prostate cancer cases worldwide. Since men with HOXB13 mutations are at an increased risk of prostate cancer, they may benefit from participation in screening and potentially prevention protocols in the future.
Dr. Cooney’s research continues with a focus on identifying germline mutations associated with lethal and aggressive prostate cancer as well as prostate cancer in African American men.
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