Integrated molecular characterisation of endometrioid ovarian carcinoma identifies opportunities for stratification.


Journal

NPJ precision oncology
ISSN: 2397-768X
Titre abrégé: NPJ Precis Oncol
Pays: England
ID NLM: 101708166

Informations de publication

Date de publication:
02 Jun 2021
Historique:
received: 23 11 2020
accepted: 13 05 2021
entrez: 3 6 2021
pubmed: 4 6 2021
medline: 4 6 2021
Statut: epublish

Résumé

Endometrioid ovarian carcinoma (EnOC) is an under-investigated ovarian cancer type. Recent studies have described disease subtypes defined by genomics and hormone receptor expression patterns; here, we determine the relationship between these subtyping layers to define the molecular landscape of EnOC with high granularity and identify therapeutic vulnerabilities in high-risk cases. Whole exome sequencing data were integrated with progesterone and oestrogen receptor (PR and ER) expression-defined subtypes in 90 EnOC cases following robust pathological assessment, revealing dominant clinical and molecular features in the resulting integrated subtypes. We demonstrate significant correlation between subtyping approaches: PR-high (PR + /ER + , PR + /ER-) cases were predominantly CTNNB1-mutant (73.2% vs 18.4%, P < 0.001), while PR-low (PR-/ER + , PR-/ER-) cases displayed higher TP53 mutation frequency (38.8% vs 7.3%, P = 0.001), greater genomic complexity (P = 0.007) and more frequent copy number alterations (P = 0.001). PR-high EnOC patients experience favourable disease-specific survival independent of clinicopathological and genomic features (HR = 0.16, 95% CI 0.04-0.71). TP53 mutation further delineates the outcome of patients with PR-low tumours (HR = 2.56, 95% CI 1.14-5.75). A simple, routinely applicable, classification algorithm utilising immunohistochemistry for PR and p53 recapitulated these subtypes and their survival profiles. The genomic profile of high-risk EnOC subtypes suggests that inhibitors of the MAPK and PI3K-AKT pathways, alongside PARP inhibitors, represent promising candidate agents for improving patient survival. Patients with PR-low TP53-mutant EnOC have the greatest unmet clinical need, while PR-high tumours-which are typically CTNNB1-mutant and TP53 wild-type-experience excellent survival and may represent candidates for trials investigating de-escalation of adjuvant chemotherapy to agents such as endocrine therapy.

Identifiants

pubmed: 34079052
doi: 10.1038/s41698-021-00187-y
pii: 10.1038/s41698-021-00187-y
pmc: PMC8172925
doi:

Types de publication

Journal Article

Langues

eng

Pagination

47

Subventions

Organisme : RCUK | Medical Research Council (MRC)
ID : I171113-1019
Organisme : University of Edinburgh
ID : Oncology Endowment Fund

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Auteurs

Robert L Hollis (RL)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK. robb.hollis@ed.ac.uk.

Barbara Stanley (B)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Beatson West of Scotland Cancer Centre and University of Glasgow, Glasgow, UK.

John P Thomson (JP)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Michael Churchman (M)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Ian Croy (I)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Tzyvia Rye (T)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Clare Bartos (C)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Fiona Nussey (F)

Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK.

Melanie Mackean (M)

Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK.

Alison M Meynert (AM)

MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Colin A Semple (CA)

MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Charlie Gourley (C)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

C Simon Herrington (CS)

Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.

Classifications MeSH