| Literature DB >> 25852062 |
Sally J Davis1, Karen E Sheppard2, Michael S Anglesio3, Joshy George4, Nadia Traficante4, Sian Fereday4, Maria P Intermaggio5, Usha Menon6, Aleksandra Gentry-Maharaj6, Jan Lubinski7, Jacek Gronwald7, Celeste Leigh Pearce8, Malcolm C Pike9, Anna Wu5, Stefan Kommoss10, Jacobus Pfisterer11, Andreas du Bois12, Felix Hilpert13, Susan J Ramus5, David D L Bowtell4, David G Huntsman3, Richard B Pearson2, Kaylene J Simpson14, Ian G Campbell15, Kylie L Gorringe16.
Abstract
Identification of genomic alterations defining ovarian carcinoma subtypes may aid the stratification of patients to receive targeted therapies. We characterized high-grade serous ovarian carcinoma (HGSC) for the association of amplified and overexpressed genes with clinical outcome using gene expression data from 499 HGSC patients in the Ovarian Tumor Tissue Analysis cohort for 11 copy number amplified genes: ATP13A4, BMP8B, CACNA1C, CCNE1, DYRK1B, GAB2, PAK4, RAD21, TPX2, ZFP36, and URI. The Australian Ovarian Cancer Study and The Cancer Genome Atlas datasets were also used to assess the correlation between gene expression, patient survival, and tumor classification. In a multivariate analysis, high GAB2 expression was associated with improved overall and progression-free survival (P = 0.03 and 0.02), whereas high BMP8B and ATP13A4 were associated with improved progression-free survival (P = 0.004 and P = 0.02). GAB2 overexpression and copy number gain were enriched in the AOCS C4 subgroup. High GAB2 expression correlated with enhanced sensitivity in vitro to the dual PI3K/mTOR inhibitor PF-04691502 and could be used as a genomic marker for identifying patients who will respond to treatments inhibiting PI3K signaling. ©2015 American Association for Cancer Research.Entities:
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Year: 2015 PMID: 25852062 DOI: 10.1158/1535-7163.MCT-15-0039
Source DB: PubMed Journal: Mol Cancer Ther ISSN: 1535-7163 Impact factor: 6.261