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Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome

Authors :
Barbara Stanley
Michael Churchman
Tzyvia Rye
Colin A. Semple
Ian Croy
Aikou Okamoto
Alison M. Meynert
Clare Bartos
John P. Thomson
C. Simon Herrington
Robert L Hollis
Charlie Gourley
Yasushi Iida
Fiona Nussey
Melanie Mackean
Source :
Nature Communications, Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020), Hollis, R, Thomson, J, Stanley, B, Churchman, M, Meynert, A M, Rye, T, Bartos, C, Iida, Y, Croy, I, Mackean, M J, Nussey, F, Okamoto, A, Semple, C A, Gourley, C & Herrington, C S 2020, ' Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome ', Nature Communications, vol. 11, no. 10, 4995 . https://doi.org/10.1038/s41467-020-18819-5
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Endometrioid ovarian carcinoma (EnOC) demonstrates substantial clinical and molecular heterogeneity. Here, we report whole exome sequencing of 112 EnOC cases following rigorous pathological assessment. We detect a high frequency of mutation in CTNNB1 (43%), PIK3CA (43%), ARID1A (36%), PTEN (29%), KRAS (26%), TP53 (26%) and SOX8 (19%), a recurrently-mutated gene previously unreported in EnOC. POLE and mismatch repair protein-encoding genes were mutated at lower frequency (6%, 18%) with significant co-occurrence. A molecular taxonomy is constructed, identifying clinically distinct EnOC subtypes: cases with TP53 mutation demonstrate greater genomic complexity, are commonly FIGO stage III/IV at diagnosis (48%), are frequently incompletely debulked (44%) and demonstrate inferior survival; conversely, cases with CTNNB1 mutation, which is mutually exclusive with TP53 mutation, demonstrate low genomic complexity and excellent clinical outcome, and are predominantly stage I/II at diagnosis (89%) and completely resected (87%). Moreover, we identify the WNT, MAPK/RAS and PI3K pathways as good candidate targets for molecular therapeutics in EnOC.<br />The molecular classification of endometroid ovarian carcinomas (EnOC) has not been established, preventing the development of stratified therapeutic approaches. Here the authors characterise the molecular landscape of EnOC by whole exome sequencing, identifying clinically distinct disease subtypes.

Details

Database :
OpenAIRE
Journal :
Nature Communications, Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020), Hollis, R, Thomson, J, Stanley, B, Churchman, M, Meynert, A M, Rye, T, Bartos, C, Iida, Y, Croy, I, Mackean, M J, Nussey, F, Okamoto, A, Semple, C A, Gourley, C & Herrington, C S 2020, ' Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome ', Nature Communications, vol. 11, no. 10, 4995 . https://doi.org/10.1038/s41467-020-18819-5
Accession number :
edsair.doi.dedup.....ee15956b2f6f9f31f51e9c9b2fe0e8a6