A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Berger, AC; Korkut, A; Kanchi, RS; Hegde, AM; Lenoir, W; Liu, W; Liu, Y; Fan, H; Shen, H; Ravikumar, V; Rao, A; Schultz, A; Li, X; Sumazin, P; Williams, C; Mestdagh, P; Gunaratne, PH; Yau, C; Bowlby, R; Robertson, AG; Tiezzi, DG; Wang, C; Cherniack, AD; Godwin, AK; Kuderer, NM; Rader, JS; Zuna, RE; Sood, AK; Lazar, AJ; Ojesina, AI; Adebamowo, C; Adebamowo, SN; Baggerly, KA; Chen, T-W; Chiu, H-S; Lefever, S; Liu, L; MacKenzie, K; Orsulic, S; Roszik, J; Shelley, CS; Song, Q; Vellano, CP; Wentzensen, N; Cancer Genome Atlas Research Network, ; Weinstein, JN; Mills, GB; Levine, DA; Akbani, R

Published Date

  • April 9, 2018

Published In

Volume / Issue

  • 33 / 4

Start / End Page

  • 690 - 705.e9

PubMed ID

  • 29622464

Pubmed Central ID

  • 29622464

Electronic International Standard Serial Number (EISSN)

  • 1878-3686

Digital Object Identifier (DOI)

  • 10.1016/j.ccell.2018.03.014

Language

  • eng

Conference Location

  • United States