A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
A partir de données moléculaires issues du projet "The Cancer Genome Atlas" et portant sur 2 579 tumeurs de l'appareil génital féminin et du sein, cette étude identifie notamment, sur la base de 16 critères moléculaires, 5 sous-types permettant de classer les patientes en fonction du pronostic
We analyzed molecular data on 2,579 tumors from The Cancer Genome Atlas (TCGA) 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 11 SMGs had not been identified in previous TCGA studies of the individual tumor types. We found functionally significant estrogen receptor-regulated long non-coding RNAs (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.
Cancer Cell 2018