Population-based germline breast cancer gene association studies and meta-analysis to inform wider mainstream testing

Other authors

Institut Català de la Salut

[Rowlands CF, Allen S] Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. [Balmaña J] Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Servei d’Oncologia Mèdica, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Domchek SM] Basser Center for BRCA, Abramson Cancer Center, University of Pennsylvania, Philadelphia, USA. [Evans DG] Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK. [Hanson H] Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK. Peninsula Regional Genetics Service, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK

Vall d'Hebron Barcelona Hospital Campus

Publication date

2024-09-25T12:29:37Z

2024-09-25T12:29:37Z

2024-10



Abstract

Breast cancer; Mainstream genetic testing; Multigene panel testing


Cáncer de mama; Pruebas genéticas convencionales; Prueba de panel multigénico


Càncer de mama; Proves genètiques convencionals; Prova de panell multigènic


Background Germline genetic testing, previously restricted to familial and young-onset breast cancer, is now offered increasingly broadly to patients with ‘population-type’ breast cancer in mainstream oncology clinics, with wide variation in the genes included. Patients and methods Weighted meta-analysis was carried out for three population-based case–control studies (BRIDGES, CARRIERS and UK Biobank) comprising in total 101 397 women with breast cancer and 312 944 women without breast cancer, to quantify 37 putative breast cancer susceptibility genes (BCSGs) for the frequency of pathogenic variants (PVs) in unselected, ‘population-type’ breast cancer cases and their association with breast cancer and its subtypes. Results Meta-analysed odds ratios (ORs) and frequencies of PVs in ‘population-type’ breast cancer cases were generated for BRCA1 (OR 8.73, 95% confidence interval (CI) 7.47-10.20; 1 in 101), BRCA2 (OR 5.68, 95% CI 5.13-6.30; 1 in 68) and PALB2 (OR 4.30, 95% CI 3.68-5.03; 1 in 187). For both CHEK2 (OR 2.40, 95% CI 2.21-2.62; 1 in 73) and ATM (OR 2.16, 95% CI 1.93-2.41; 1 in 132) subgroup analysis showed a stronger association with oestrogen receptor-positive disease. The magnitude of association and frequency of PVs were low for RAD51C (OR 1.53, 95% CI 1.29-2.04; 1 in 913), RAD51D (OR 1.76, 95% CI 1.29-2.41; 1 in 1079) and BARD1 (OR 2.34, 95% CI 1.85-2.97; 1 in 672); frequencies and associations were higher when the analysis was restricted to triple-negative breast cancers. The PV frequency in ‘population-type’ breast cancer cases was very low for ‘syndromic’ BCSGs TP53 (1 in 1844), STK11 (1 in 11 525), CDH1 (1 in 2668), PTEN (1 in 3755) and NF1 (1 in 1470), with metrics of association also modest ranging from OR 3.62 (95% CI 1.98-6.61) for TP53 down to OR 1.60 (95% CI 0.48-5.30) for STK11. Conclusions These metrics reflecting ‘population-type’ breast cancer will be informative in defining the appropriate gene set as we continue to expand to germline testing to an increasingly unselected group of breast cancer cases.


This work was supported by CG-MAVE, Cancer Research UK Programme Award [grant number EDDPGM-Nov22/100004 to CT funding CFR and SA] and the Canadian Institutes of Health Research [grant number FDN-148390 to WDF]. MT was supported by the NIHR Cambridge Biomedical Research Centre (grant number NIHR203312). HH was supported by the NIHR Exeter Biomedical Research Centre (grant number NIHR203320).

Document Type

Article


Published version

Language

English

Publisher

Elsevier

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https://doi.org/10.1016/j.annonc.2024.07.244

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Rights

Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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