Molecular profiling and molecular classification of endometrioid ovarian carcinomas.


Journal

Gynecologic oncology
ISSN: 1095-6859
Titre abrégé: Gynecol Oncol
Pays: United States
ID NLM: 0365304

Informations de publication

Date de publication:
09 2019
Historique:
received: 19 04 2019
revised: 09 07 2019
accepted: 10 07 2019
pubmed: 26 7 2019
medline: 28 10 2019
entrez: 26 7 2019
Statut: ppublish

Résumé

Endometrioid ovarian carcinomas (EOCs) comprise 5-10% of all ovarian cancers and commonly co-occur with synchronous endometrioid endometrial cancer (EEC). We sought to examine the molecular characteristics of pure EOCs in patients without concomitant EEC. EOCs and matched normal samples were subjected to massively parallel sequencing targeting 341-468 cancer-related genes (n = 8) or whole-genome sequencing (n = 28). Mutational frequencies of EOCs were compared to those of high-grade serous ovarian cancers (HGSOCs; n = 224) and EECs (n = 186) from The Cancer Genome Atlas, and synchronous EOCs (n = 23). EOCs were heterogeneous, frequently harboring KRAS, PIK3CA, PTEN, CTNNB1, ARID1A and TP53 mutations. EOCs were distinct from HGSOCs at the mutational level, less frequently harboring TP53 but more frequently displaying KRAS, PIK3CA, PIK3R1, PTEN and CTNNB1 mutations. Compared to synchronous EOCs and pure EECs, pure EOCs less frequently harbored PTEN, PIK3R1 and ARID1A mutations. Akin to EECs, EOCs could be stratified into the four molecular subtypes: 3% POLE (ultramutated), 19% MSI (hypermutated), 17% copy-number high (serous-like) and 61% copy-number low (endometrioid). In addition to microsatellite instability, a subset of EOCs harbored potentially targetable mutations, including AKT1 and ERBB2 hotspot mutations. EOCs of MSI (hypermutated) subtype uniformly displayed a good outcome. EOCs are heterogeneous at the genomic level and harbor targetable genetic alterations. Despite the similarities in the repertoire of somatic mutations between pure EOCs, synchronous EOCs and EECs, the frequencies of mutations affecting known driver genes differ. Further studies are required to define the impact of the molecular subtypes on the outcome and treatment of EOC patients.

Identifiants

pubmed: 31340883
pii: S0090-8258(19)31398-8
doi: 10.1016/j.ygyno.2019.07.012
pmc: PMC6736779
mid: NIHMS1535885
pii:
doi:

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

516-523

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

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Auteurs

Paulina Cybulska (P)

Department of Surgery, Gynecology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Arnaud Da Cruz Paula (ADC)

Department of Surgery, Gynecology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Jill Tseng (J)

Department of Surgery, Gynecology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Mario M Leitao (MM)

Department of Surgery, Gynecology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Ali Bashashati (A)

Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada.

David G Huntsman (DG)

Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.

Tayyebeh M Nazeran (TM)

Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.

Carol Aghajanian (C)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Nadeem R Abu-Rustum (NR)

Department of Surgery, Gynecology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Deborah F DeLair (DF)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Sohrab P Shah (SP)

Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada; Department of Epidemiology & Biostatistics, Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Britta Weigelt (B)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: weigeltb@mskc.org.

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