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Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma.
Geistlinger, Ludwig; Oh, Sehyun; Ramos, Marcel; Schiffer, Lucas; LaRue, Rebecca S; Henzler, Christine M; Munro, Sarah A; Daughters, Claire; Nelson, Andrew C; Winterhoff, Boris J; Chang, Zenas; Talukdar, Shobhana; Shetty, Mihir; Mullany, Sally A; Morgan, Martin; Parmigiani, Giovanni; Birrer, Michael J; Qin, Li-Xuan; Riester, Markus; Starr, Timothy K; Waldron, Levi.
Afiliación
  • Geistlinger L; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
  • Oh S; Institute for Implementation Science and Population Health, City University of New York, New York, New York.
  • Ramos M; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
  • Schiffer L; Institute for Implementation Science and Population Health, City University of New York, New York, New York.
  • LaRue RS; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
  • Henzler CM; Institute for Implementation Science and Population Health, City University of New York, New York, New York.
  • Munro SA; Roswell Park Comprehensive Cancer Institute, Buffalo, New York.
  • Daughters C; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
  • Nelson AC; Institute for Implementation Science and Population Health, City University of New York, New York, New York.
  • Winterhoff BJ; Minnesota Supercomputing Institute, Minneapolis, Minnesota.
  • Chang Z; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
  • Talukdar S; Minnesota Supercomputing Institute, Minneapolis, Minnesota.
  • Shetty M; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
  • Mullany SA; Minnesota Supercomputing Institute, Minneapolis, Minnesota.
  • Morgan M; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
  • Parmigiani G; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
  • Birrer MJ; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
  • Qin LX; University of Minnesota Masonic Cancer Center, Minneapolis, Minnesota.
  • Riester M; University of Minnesota Masonic Cancer Center, Minneapolis, Minnesota.
  • Starr TK; Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, Minnesota.
  • Waldron L; Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, Minnesota.
Cancer Res ; 80(20): 4335-4345, 2020 10 15.
Article en En | MEDLINE | ID: mdl-32747365
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Cistadenocarcinoma Seroso Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancer Res Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Cistadenocarcinoma Seroso Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancer Res Año: 2020 Tipo del documento: Article