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Lessons learned from a candidate gene study investigating aromatase inhibitor treatment outcome in breast cancer.

Reiner Hoppe ,
Stefan Winter ,
Wing-Yee Lo ,
Kyriaki Michailidou ,
Manjeet K Bolla ,
Renske Keeman ,
Qin Wang ,
Joe Dennis ,
Michael Lush ,
Krishna R Kalari ,
Matthew P Goetz ,
Liewei Wang ,
Junmei Cairns ,
Richard Weinshilboum ,
Lois Shepherd ,
Bingshu E Chen ,
Lothar Häberle ,
Matthias Ruebner ,
Matthias W Beckmann ,
Wei He ,
Nicole L Larson ,
Sebastian M Armasu ,
Werner Schroth ,
Balram Chowbay ,
Chiea Chuen Khor ,
Mustapha Abubakar ,
Antonis C Antoniou ,
Thomas Brüning ,
Jose E Castelao ,
Jenny Chang-Claude ,
Nbcs Collaborators ,
Thilo Dörk ,
Diana M Eccles ,
Jonine D Figueroa ,
Manuela Gago-Dominguez ,
José A García-Sáenz ,
Melanie Gündert ,
Carolin C Hack ,
Ute Hamann ,
Sileny Han ,
Maartje J Hooning ,
Hanna Huebner ,
Abctb Investigators ,
Esther M John ,
Yon-Dschun Ko ,
Vessela N Kristensen ,
Sabine Linn ,
Sara Margolin ,
Dimitrios Mavroudis ,
Heli Nevanlinna ,
Patrick Neven ,
Nadia Obi ,
Tjoung-Won Park-Simon ,
Katri Pylkäs ,
Muhammad U Rashid ,
Atocha Romero ,
Emmanouil Saloustros ,
Elinor J Sawyer ,
William J Tapper ,
Ian Tomlinson ,
Camilla Wendt ,
Robert Winqvist ,
Alison M Dunning ,
Jacques Simard ,
Per Hall ,
Paul D P Pharoah ,
Matthias Schwab ,
Fergus J Couch ,
Kamila Czene ,
Peter A Fasching ,
Douglas F Easton ,
Marjanka K Schmidt ,
James N Ingle ,
Hiltrud Brauch

Abstract

The role of germline genetics in adjuvant aromatase inhibitor (AI) treatment efficacy in ER-positive breast cancer is poorly understood. We employed a two-stage candidate gene approach to examine associations between survival endpoints and common germline variants in 753 endocrine resistance-related genes. For a discovery cohort, we screened the Breast Cancer Association Consortium database (n ≥ 90,000 cases) and retrieved 2789 AI-treated patients. Cox model-based analysis revealed 125 variants associated with overall, distant relapse-free, and relapse-free survival (p-value ≤ 1E-04). In validation analysis using five independent cohorts (n = 8857), none of the six selected candidates representing major linkage blocks at CELA2B/CASP9, NR1I2/GSK3B, LRP1B, and MIR143HG (CARMN) were validated. We discuss potential reasons for the failed validation and replication of published findings, including study/treatment heterogeneity and other limitations inherent to genomic treatment outcome studies. For the future, we envision prospective longitudinal studies with sufficiently long follow-up and endpoints that reflect the dynamic nature of endocrine resistance.

More about this publication

NPJ breast cancer

Volume 11
Issue nr. 1
Pages 18
Publication date 19-02-2025

Full text links

Publisher website (DOI) 10.1038/s41523-025-00733-y
Europe PubMed Central 39971965
Pubmed 39971965

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