TY - JOUR
AU - Hoppe, Reiner
AU - Winter, Stefan
AU - Lo, Wing-Yee
AU - Michailidou, Kyriaki
AU - Bolla, Manjeet K
AU - Keeman, Renske
AU - Wang, Qin
AU - Dennis, Joe
AU - Lush, Michael
AU - Kalari, Krishna R
AU - Goetz, Matthew P
AU - Wang, Liewei
AU - Cairns, Junmei
AU - Weinshilboum, Richard
AU - Shepherd, Lois
AU - Chen, Bingshu E
AU - Häberle, Lothar
AU - Ruebner, Matthias
AU - Beckmann, Matthias W
AU - He, Wei
AU - Larson, Nicole L
AU - Armasu, Sebastian M
AU - Schroth, Werner
AU - Chowbay, Balram
AU - Khor, Chiea Chuen
AU - Abubakar, Mustapha
AU - Antoniou, Antonis C
AU - Brüning, Thomas
AU - Castelao, Jose E
AU - Chang-Claude, Jenny
AU - Nbcs Collaborators
AU - Dörk, Thilo
AU - Eccles, Diana M
AU - Figueroa, Jonine D
AU - Gago-Dominguez, Manuela
AU - García-Sáenz, José A
AU - Gündert, Melanie
AU - Hack, Carolin C
AU - Hamann, Ute
AU - Han, Sileny
AU - Hooning, Maartje J
AU - Huebner, Hanna
AU - Abctb Investigators
AU - John, Esther M
AU - Ko, Yon-Dschun
AU - Kristensen, Vessela N
AU - Linn, Sabine
AU - Margolin, Sara
AU - Mavroudis, Dimitrios
AU - Nevanlinna, Heli
AU - Neven, Patrick
AU - Obi, Nadia
AU - Park-Simon, Tjoung-Won
AU - Pylkäs, Katri
AU - Rashid, Muhammad U
AU - Romero, Atocha
AU - Saloustros, Emmanouil
AU - Sawyer, Elinor J
AU - Tapper, William J
AU - Tomlinson, Ian
AU - Wendt, Camilla
AU - Winqvist, Robert
AU - Dunning, Alison M
AU - Simard, Jacques
AU - Hall, Per
AU - Pharoah, Paul D P
AU - Schwab, Matthias
AU - Couch, Fergus J
AU - Czene, Kamila
AU - Fasching, Peter A
AU - Easton, Douglas F
AU - Schmidt, Marjanka K
AU - Ingle, James N
AU - Brauch, Hiltrud
TI - Lessons learned from a candidate gene study investigating aromatase inhibitor treatment outcome in breast cancer.
JO - npj Breast cancer
VL - 11
IS - 1
SN - 2374-4677
CY - London
PB - Nature Publ. Group
M1 - DKFZ-2025-00398
SP - 18
PY - 2025
AB - 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.
LB - PUB:(DE-HGF)16
C6 - pmid:39971965
DO - DOI:10.1038/s41523-025-00733-y
UR - https://inrepo02.dkfz.de/record/298978
ER -