A novel cell line panel reveals non-genetic mediators of platinum resistance and phenotypic diversity in high grade serous ovarian cancer.


Journal

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

Informations de publication

Date de publication:
10 2022
Historique:
received: 28 04 2022
revised: 18 07 2022
accepted: 23 07 2022
pubmed: 3 8 2022
medline: 5 10 2022
entrez: 2 8 2022
Statut: ppublish

Résumé

Resistance to cancer therapy is an enduring challenge and accurate and reliable preclinical models are lacking. We interrogated this unmet need using high grade serous ovarian cancer (HGSC) as a disease model. We created five in vitro and two in vivo platinum-resistant HGSC models and characterised the entire cell panel via whole genome sequencing, RNASeq and creation of intraperitoneal models. Mutational signature analysis indicated that platinum-resistant cell lines evolved from a pre-existing ancestral clone but a unifying mutational cause for drug resistance was not identified. However, cisplatin-resistant and carboplatin-resistant cells evolved recurrent changes in gene expression that significantly overlapped with independent samples obtained from multiple patients with relapsed HGSC. Gene Ontology Biological Pathways (GOBP) related to the tumour microenvironment, particularly the extracellular matrix, were repeatedly enriched in cisplatin-resistant cells, carboplatin-resistant cells and also in human resistant/refractory samples. The majority of significantly over-represented GOBP however, evolved uniquely in either cisplatin- or carboplatin-resistant cell lines resulting in diverse intraperitoneal behaviours that reflect different clinical manifestations of relapsed human HGSC. Our clinically relevant and usable models reveal a key role for non-genetic factors in the evolution of chemotherapy resistance. Biological pathways relevant to the extracellular matrix were repeatedly expressed by resistant cancer cells in multiple settings. This suggests that recurrent gene expression changes provide a fitness advantage during platinum therapy and also that cancer cell-intrinsic mechanisms influence the tumour microenvironment during the evolution of drug resistance. Candidate genes and pathways identified here could reveal therapeutic opportunities in platinum-resistant HGSC.

Identifiants

pubmed: 35918200
pii: S0090-8258(22)00511-X
doi: 10.1016/j.ygyno.2022.07.027
pii:
doi:

Substances chimiques

Platinum 49DFR088MY
Carboplatin BG3F62OND5
Cisplatin Q20Q21Q62J

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

96-106

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflicts of interest.

Auteurs

J I Hoare (JI)

Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.

H Hockings (H)

Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.

J Saxena (J)

Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.

V L Silva (VL)

Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.

M J Haughey (MJ)

School of Mathematical Sciences, Queen Mary University of London, London, UK.

G E Wood (GE)

Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.

F Nicolini (F)

Centre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.

H Mirza (H)

Department of Surgery and Cancer, Imperial College London, London, UK.

I A McNeish (IA)

Department of Surgery and Cancer, Imperial College London, London, UK.

W Huang (W)

School of Mathematical Sciences, Queen Mary University of London, London, UK.

E Maniati (E)

Bioinformatics Core Service, Barts Cancer Institute, Queen Mary University of London, London, UK.

T A Graham (TA)

Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.

M Lockley (M)

Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK; Department of Gynaecological Oncology, Cancer Services, University College London Hospital, London, London, UK. Electronic address: m.lockley@qmul.ac.uk.

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Classifications MeSH