Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma.
Journal
Cancer research
ISSN: 1538-7445
Titre abrégé: Cancer Res
Pays: United States
ID NLM: 2984705R
Informations de publication
Date de publication:
15 10 2020
15 10 2020
Historique:
received:
13
02
2020
revised:
13
06
2020
accepted:
29
07
2020
pubmed:
5
8
2020
medline:
11
2
2021
entrez:
5
8
2020
Statut:
ppublish
Résumé
Multiple studies have identified transcriptome subtypes of high-grade serous ovarian carcinoma (HGSOC), but their interpretation and translation are complicated by tumor evolution and polyclonality accompanied by extensive accumulation of somatic aberrations, varying cell type admixtures, and different tissues of origin. In this study, we examined the chronology of HGSOC subtype evolution in the context of these factors using a novel integrative analysis of absolute copy-number analysis and gene expression in The Cancer Genome Atlas complemented by single-cell analysis of six independent tumors. Tumor purity, ploidy, and subclonality were reliably inferred from different genomic platforms, and these characteristics displayed marked differences between subtypes. Genomic lesions associated with HGSOC subtypes tended to be subclonal, implying subtype divergence at later stages of tumor evolution. Subclonality of recurrent HGSOC alterations was evident for proliferative tumors, characterized by extreme genomic instability, absence of immune infiltration, and greater patient age. In contrast, differentiated tumors were characterized by largely intact genome integrity, high immune infiltration, and younger patient age. Single-cell sequencing of 42,000 tumor cells revealed widespread heterogeneity in tumor cell type composition that drove bulk subtypes but demonstrated a lack of intrinsic subtypes among tumor epithelial cells. Our findings prompt the dismissal of discrete transcriptome subtypes for HGSOC and replacement by a more realistic model of continuous tumor development that includes mixtures of subclones, accumulation of somatic aberrations, infiltration of immune and stromal cells in proportions correlated with tumor stage and tissue of origin, and evolution between properties previously associated with discrete subtypes. SIGNIFICANCE: This study infers whether transcriptome-based groupings of tumors differentiate early in carcinogenesis and are, therefore, appropriate targets for therapy and demonstrates that this is not the case for HGSOC.
Identifiants
pubmed: 32747365
pii: 0008-5472.CAN-20-0521
doi: 10.1158/0008-5472.CAN-20-0521
pmc: PMC7572645
mid: NIHMS1618248
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4335-4345Subventions
Organisme : NCI NIH HHS
ID : R03 CA191447
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA180996
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA006516
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA230551
Pays : United States
Organisme : NHGRI NIH HHS
ID : U41 HG004059
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA230551
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA214845
Pays : United States
Informations de copyright
©2020 American Association for Cancer Research.
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