Germline ATM Mutations Detected by Somatic DNA Sequencing in Lethal Prostate Cancer

通过体细胞 DNA 测序检测致死性前列腺癌中的种系 ATM 突变

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作者:Rafael Grochot, Suzanne Carreira, Susana Miranda, Ines Figueiredo, Claudia Bertan, Jan Rekowski, Wei Yuan, Ana Ferreira, Ruth Riisnaes, Antje Neeb, Bora Gurel, Maria de Los Dolores Fenor de la Maza, Christina Guo, Juliet Carmichael, Daniel Westaby, Joaquin Mateo, Adam Sharp, Terri P McVeigh, Johann

Background

Germline mutations in the ataxia telangiectasia mutated (ATM) gene occur in 0.5-1% of the overall population and are associated with tumour predisposition. The clinical and pathological features of ATM-mutated prostate cancer (PC) are poorly defined but have been associated with lethal PC.

Conclusions

Germline ATM mutations are rare in patients with lethal PC but occur at mutational hotspots; further research is warranted to better characterise the family histories of these men and PC clinical course. Patient summary: In this report, we studied the clinical and pathological features of advanced prostate cancers associated with germline mutations in the ATM gene. We found that most patients had a strong family history of cancer and that this mutation might predict the course of these prostate cancers, as well as response to specific treatments.

Objective

To report on the clinical characteristics including family history and clinical outcomes of a cohort of patients with advanced metastatic castration-resistant PC (CRPC) who were found to have germline ATM mutations after mutation detection by initial tumour DNA sequencing. Design setting and participants: We acquired germline ATM mutation data by saliva next-generation sequencing from patients with ATM mutations in PC biopsies sequenced between January 2014 and January 2022. Demographics, family history, and clinical data were collected retrospectively. Outcome measurements and statistical analysis: Outcome endpoints were based on overall survival (OS) and time from diagnosis to CRPC. Data were analysed using R version 3.6.2 (R Foundation for Statistical Computing, Vienna, Austria).

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