Association of C-MYC, MYC target gene, and unfolded protein response (UPR) expression with clinical benefit from the oral aurora kinase A (AURKA) inhibitor, alisertib (A), in combination with paclitaxel (P) compared with P alone in patients (Pts) with HER2-negative metastatic breast cancer (MBC).

作者：Sara Ann Byron, Jiaming Zhang, Tyler Izatt, Srishti Rajeev, George Archdall O'Brien Reid, Daniel Enríquez, Bryce Turner, Yaden Santana, Danielle Vasquez, Shukmei Wong, Jonathan J. Keats, Joyce O’Shaughnessy · 发表于：Journal of Clinical Oncology · 年份：2023 · DOI：10.1200/jco.2023.41.16_suppl.1037 · 被引用次数：1 · 研究领域：Advanced Breast Cancer Therapies、Cancer-related Molecular Pathways、Folate and B Vitamins Research

1037 Background: AURKA is a key regulator of the mitotic spindle, G2/M transition and epithelial-mesenchymal transition. AURKA is amplified and/or overexpressed in breast cancer and is associated with therapy resistance and worse survival. A randomized phase II trial in hormone receptor (HR)-positive, HER2-negative and triple negative (TN) MBC pts showed that addition of A to weekly P significantly improved progression-free survival (PFS) compared with P alone (O’Shaughnessy J et al. JAMA N etwork Open, 2021). Pts’ primary or metastatic disease tissues were analyzed for biomarkers associated with clinical benefit from A. Methods: Retrospective analysis of tumor whole exome and whole transcriptome sequencing of formalin-fixed paraffin embedded pre-treatment tissues from 96 pts (77 HR+, 19 TN) was performed. Clinical benefit from A+P or P was defined as having PFS of at least 6 mos and lack of benefit as PFS less than 6 mos. Enrichment for cancer gene mutations was assessed using Fisher's exact test. Transcriptome data were evaluated for differential expression with DeSeq2 and gene set enrichment analysis (GSEA) and compared to cancer hallmark gene sets. Molecular features were compared between A+P responders and non-responders, P responders and non-responders, and A+P and P responders. P-values <0.05 were considered significant. Results: PIK3CA, TP53, and CDH1 were altered in 41%, 39%, and 13% of tumors, respectively, and these and other known cancer genes were not associated ...