Evidence map›Paper›PMID 39455978›Full record

ArticleBMC cancer2024

Clinical relevance of protein-truncating variants of germline DNA repair genes in prostate cancer.

Yu-Hsuan Joni Shao, Cai-Sian Liao, Yu-Ching Hsu, Yu-Chiao Chiu, Tsai-Jung Lu, Yen-Chuan Ou, Tzu-Hung Hsiao

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yu-Hsuan Joni ShaoGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, 10675, Taiwan.
Cai-Sian LiaoDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, 40705, Taiwan.
Yu-Ching HsuDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, 40705, Taiwan.
Yu-Chiao ChiuDepartment of Medicine, Division of Hematology/Oncology, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA.
Tsai-Jung LuDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, 40705, Taiwan.
Yen-Chuan OuDepartment of Urology, Tungs' Taichung MetroHarbor Hospital, Taichung, 43503, Taiwan. ycou228@gmail.com.
Tzu-Hung HsiaoDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, 40705, Taiwan. d93921032@gmail.com.

Funding

Janssen Pharmaceuticals JJ-64091742PCR4001Ministry of Science and Technology, Taiwan MOST 108-2314-B-038-091
6 · The paper itself

Abstract

backgroundInterpreting genetic variants remains a challenge in prostate cancer (PCa). Although many annotation tools are available for prioritizing causal variants, the clinical relevance of these variants is rarely studied.

methodsWe collected a cohort study that included 274 PCa patients from June 2017 to December 2020 and sequenced 19 DNA damage repair (DDR) genes in these patients and explored the clinical consequence of these different approaches. We also examined all-cause and PCa-specific survival in DDR gene mutation carriers compared to non-carriers after androgen receptor (AR)-directed therapy.

resultsWe identified 13 variants from 19 DDR genes in a total of 14 (5.1%) patients who had at least one presumed pathogenic mutation using different annotation methods. Four variants were annotated as pathogenic, 11 variants were predicted as protein-truncating variants (PTVs), four variants received proxy-deleterious (Combined Annotation-Dependent Depletion scores of > 30), and only one variant was identified as a pathogenic variant or as having a functional effect by all three methods. PCa patients with PTVs were significantly associated with early onset, high cancer stage, and a worse response to AR-directed treatment. However, patients carrying a proxy-deleterious variant were only associated with a higher T (tumor) stage and N (node) stage than those without such a variant, but not associated with other clinical characteristics. In patients treated with AR-directed therapy, patients with a PTV showed an increased risk of all-cause death (adjusted hazard ratio (aHR) = 3.51, 95% confidence interval (CI): 1.06 ~ 11.56) and PCa-specific death (aHR = 4.49, 95% CI: 1.87 ~ 10.77) compared to non-PTV carriers after adjustment. We were unable to examine gene-specific risks due to the small number of patients.

conclusionsPTVs may assist in guiding treatment and early screening in PCa, while population-specific data for pathogenic variants are still being amassed.

Indexed as

DNA RepairGerm-Line MutationProstatic NeoplasmsAgedClinical RelevanceCohort StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedReceptors, AndrogenReceptors, AndrogenDNA repair geneGermline mutationProstate cancerProtein-truncating variant

Identifiers

PMID39455978
PMCPMC11520037

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.