<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hoppe R</submitter><funding>Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)</funding><funding>Canadian Cancer Society Research Institute (Société Canadienne du Cancer)</funding><funding>Cancer Research UK</funding><funding>Breast Cancer Now</funding><funding>Deutsche Forschungsgemeinschaft (German Research Foundation)</funding><funding>EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health)</funding><funding>MOH | National Medical Research Council (NMRC)</funding><funding>National Institute for Health Research (NIHR)</funding><funding>NCI NIH HHS</funding><funding>NIGMS NIH HHS</funding><funding>Deutsche Krebshilfe (German Cancer Aid)</funding><pagination>18</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11840073</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(1)</volume><pubmed_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</pubmed_abstract><journal>NPJ breast cancer</journal><pubmed_title>Lessons learned from a candidate gene study investigating aromatase inhibitor treatment outcome in breast cancer.</pubmed_title><pmcid>PMC11840073</pmcid><funding_grant_id>C5047/A10692</funding_grant_id><funding_grant_id>NIHR203312</funding_grant_id><funding_grant_id>01KW9976/8</funding_grant_id><funding_grant_id>U19 CA148537</funding_grant_id><funding_grant_id>110828</funding_grant_id><funding_grant_id>110826</funding_grant_id><funding_grant_id>C12292/A11174</funding_grant_id><funding_grant_id>C1287/A10118</funding_grant_id><funding_grant_id>C1281/A12014</funding_grant_id><funding_grant_id>C1287/A10710</funding_grant_id><funding_grant_id>R01 CA128978</funding_grant_id><funding_grant_id>2010PR62</funding_grant_id><funding_grant_id>U19 CA148065</funding_grant_id><funding_grant_id>R35 CA253187</funding_grant_id><funding_grant_id>108419</funding_grant_id><funding_grant_id>106332</funding_grant_id><funding_grant_id>C1275/C22524</funding_grant_id><funding_grant_id>R01 CA176785</funding_grant_id><funding_grant_id>DFG Do761/15-1</funding_grant_id><funding_grant_id>C1275/A11699</funding_grant_id><funding_grant_id>MOH-000984</funding_grant_id><funding_grant_id>P50 CA116201</funding_grant_id><funding_grant_id>EXC 2180-390900677</funding_grant_id><funding_grant_id>01KW0114</funding_grant_id><funding_grant_id>2013PR044</funding_grant_id><funding_grant_id>SCHR 1323/2-1</funding_grant_id><funding_grant_id>HEALTH-F2-2009-223175</funding_grant_id><funding_grant_id>C1275/A19187</funding_grant_id><funding_grant_id>BMBF 01ZP0502</funding_grant_id><funding_grant_id>01KH040</funding_grant_id><funding_grant_id>01KW9975/5</funding_grant_id><funding_grant_id>U19 GM061388</funding_grant_id><funding_grant_id>PPRPGM-Nov20\100002</funding_grant_id><funding_grant_id>C1287/A16563</funding_grant_id><funding_grant_id>C8197/A16565</funding_grant_id><funding_grant_id>MOH-000377</funding_grant_id><funding_grant_id>R01 CA196648</funding_grant_id><funding_grant_id>R01 CA116167</funding_grant_id><funding_grant_id>01KW9977/0</funding_grant_id><funding_grant_id>U01 CA164920</funding_grant_id><funding_grant_id>NMRC/CIRG/1423/2015</funding_grant_id><funding_grant_id>C1275/A15956</funding_grant_id><funding_grant_id>108253</funding_grant_id><funding_grant_id>U10 CA077202</funding_grant_id><funding_grant_id>CCS 015469</funding_grant_id><funding_grant_id>R01 CA192393</funding_grant_id><funding_grant_id>70-2892-BR I</funding_grant_id><funding_grant_id>C5047/A8384</funding_grant_id><funding_grant_id>U19 CA148112</funding_grant_id><funding_grant_id>C5047/A15007</funding_grant_id><pubmed_authors>Mavroudis D</pubmed_authors><pubmed_authors>Dork T</pubmed_authors><pubmed_authors>Obi N</pubmed_authors><pubmed_authors>Cairns J</pubmed_authors><pubmed_authors>Kristensen VN</pubmed_authors><pubmed_authors>Antoniou AC</pubmed_authors><pubmed_authors>Pharoah PDP</pubmed_authors><pubmed_authors>Wang L</pubmed_authors><pubmed_authors>Wang Q</pubmed_authors><pubmed_authors>Keeman R</pubmed_authors><pubmed_authors>Easton DF</pubmed_authors><pubmed_authors>Hoppe R</pubmed_authors><pubmed_authors>Kalari KR</pubmed_authors><pubmed_authors>Simard J</pubmed_authors><pubmed_authors>Couch FJ</pubmed_authors><pubmed_authors>Tapper WJ</pubmed_authors><pubmed_authors>Lo WY</pubmed_authors><pubmed_authors>Bolla MK</pubmed_authors><pubmed_authors>Chang-Claude J</pubmed_authors><pubmed_authors>Weinshilboum R</pubmed_authors><pubmed_authors>Wendt C</pubmed_authors><pubmed_authors>Abubakar M</pubmed_authors><pubmed_authors>Gundert M</pubmed_authors><pubmed_authors>Fasching PA</pubmed_authors><pubmed_authors>Hooning MJ</pubmed_authors><pubmed_authors>Hall P</pubmed_authors><pubmed_authors>Schwab M</pubmed_authors><pubmed_authors>Schmidt MK</pubmed_authors><pubmed_authors>Nevanlinna H</pubmed_authors><pubmed_authors>Neven P</pubmed_authors><pubmed_authors>Michailidou K</pubmed_authors><pubmed_authors>He W</pubmed_authors><pubmed_authors>Winqvist R</pubmed_authors><pubmed_authors>Linn S</pubmed_authors><pubmed_authors>Lush M</pubmed_authors><pubmed_authors>Haberle L</pubmed_authors><pubmed_authors>Saloustros E</pubmed_authors><pubmed_authors>Schroth W</pubmed_authors><pubmed_authors>Pylkas K</pubmed_authors><pubmed_authors>Brauch H</pubmed_authors><pubmed_authors>Figueroa JD</pubmed_authors><pubmed_authors>Garcia-Saenz JA</pubmed_authors><pubmed_authors>Han S</pubmed_authors><pubmed_authors>Tomlinson I</pubmed_authors><pubmed_authors>Chen BE</pubmed_authors><pubmed_authors>Nbcs Collaborators</pubmed_authors><pubmed_authors>Huebner H</pubmed_authors><pubmed_authors>Ingle JN</pubmed_authors><pubmed_authors>Shepherd L</pubmed_authors><pubmed_authors>Beckmann MW</pubmed_authors><pubmed_authors>Khor CC</pubmed_authors><pubmed_authors>John EM</pubmed_authors><pubmed_authors>Park-Simon TW</pubmed_authors><pubmed_authors>Winter S</pubmed_authors><pubmed_authors>Czene K</pubmed_authors><pubmed_authors>Margolin S</pubmed_authors><pubmed_authors>Gago-Dominguez M</pubmed_authors><pubmed_authors>Eccles DM</pubmed_authors><pubmed_authors>Romero A</pubmed_authors><pubmed_authors>Ruebner M</pubmed_authors><pubmed_authors>Dennis J</pubmed_authors><pubmed_authors>Abctb Investigators</pubmed_authors><pubmed_authors>Sawyer EJ</pubmed_authors><pubmed_authors>Armasu SM</pubmed_authors><pubmed_authors>Ko YD</pubmed_authors><pubmed_authors>Chowbay B</pubmed_authors><pubmed_authors>Hack CC</pubmed_authors><pubmed_authors>Castelao JE</pubmed_authors><pubmed_authors>Hamann U</pubmed_authors><pubmed_authors>Dunning AM</pubmed_authors><pubmed_authors>Goetz MP</pubmed_authors><pubmed_authors>Larson NL</pubmed_authors><pubmed_authors>Bruning T</pubmed_authors><pubmed_authors>Rashid MU</pubmed_authors></additional><is_claimable>false</is_claimable><name>Lessons learned from a candidate gene study investigating aromatase inhibitor treatment outcome in breast cancer.</name><description>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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Feb</publication><modification>2026-06-02T04:11:50.446Z</modification><creation>2025-04-19T21:13:24.016Z</creation></dates><accession>S-EPMC11840073</accession><cross_references><pubmed>39971965</pubmed><doi>10.1038/s41523-025-00733-y</doi></cross_references></HashMap>