Abstract PD4-11: Copy-number and targeted sequencing analyses to identify distinct prognostic groups: Implications for patient selection to targeted therapies amongst anti-endocrine therapy resistant early breast cancers

Hormone receptor positive breast cancer remains an ongoing therapeutic challenge. Despite optimal anti-endocrine therapies, most breast cancer deaths follow a diagnosis of early luminal cancer. Data describing molecular events in breast cancer has yet to be translated into actionable information to inform medical management and benefit patients. To understand the impact of multiple aberrations in the context of current therapy, we assessed the prognostic ability of genomic signatures as a putative stratification tool to targeted therapies. The analysis was performed based on an a priori hypothesis relating to molecular pathways which might predict response to targeted therapies currently under evaluation in late-stage clinical trials. In a case-control fashion, 420 patients from the Tamoxifen vs Exemstane Adjuvant Multinational Trial (TEAM) pathology cohort, were analysed to determine the prognostic, ability for these mutational and copy-number biomarkers representing the CCND/CDK, FGFR/FGF and AKT/PIK3CA to inform potential response to therapies targeting these pathways. Copy number analysis was performed using the Affymetrix Oncoscan™ Assay. Targeted sequencing was performed in a subset of samples for genes based on signaling cassettes mined from the ICGC. Pathways were identified as aberrant if there were copy number aberrations (CNAs) and/or mutations in any of the predetermined pathway genes: 1) CCND1/CCND2/CCND3/CDK4/CDK6 2) FGFR1/FGFR2/FGFR2/FGFR4 and 3) AKT1/AKT2/PIK3CA/PTEN . Kaplan Meier and log rank analyses were used for DRFS between groups. Hazard ratios were calculated using the Cox proportional hazard models adjusted for age, tumour size, grade, lymph node and HER2 status. 390/420 samples passed informatics QC filters. For the CCND/CDK pathway, patients with no CNA changes experienced a better DRFS (HR=1.94, 95% CI 1.45-2.61, p Citation Format: Bayani J, Kornaga EN, Crozier C, Jang GH, Kalatskaya I, Trinh QM, Yao CQ, Livingstone J, Hasenburg A, Kieback DG, Markopoulos C, Dirix L, Boutros PC, Spears M, Stein LD, Rea D, Bartlett JMS. Copy-number and targeted sequencing analyses to identify distinct prognostic groups: Implications for patient selection to targeted therapies amongst anti-endocrine therapy resistant early breast cancers [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr PD4-11.