Cancer Cell. 33 p1-16, 2 April 2018 10.1016/j.ccell.2018.03.014
We analyzed molecular data on 2,579 TCGA tumors of four gynecological types plus breast. Our aims were to identify shared and unique molecular features, clinically significant subtypes, and potential therapeutic targets. We found 61 somatic copy number alterations (SCNAs) and 46 significantly mutated genes (SMGs). Eleven SCNAs and eleven SMGs had not been identified in previous TCGA studies of the individual tumor types. We found functionally significant estrogen receptor-regulated lncRNAs and gene/lncRNA interaction networks. Pathway analysis identified subtypes with high leukocyte infiltration, raising potential implications for immunotherapy. Using 16 key molecular features, we identified five prognostic subtypes and developed a decision tree that classified patients into the subtypes based on just six features that are assessable in clinical laboratories.
Data in the GDC
None
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