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Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes.
Govindarajan, Meinusha; Ignatchenko, Vladimir; Ailles, Laurie; Kislinger, Thomas.
Afiliação
  • Govindarajan M; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
  • Ignatchenko V; Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 1L7, Canada.
  • Ailles L; Princess Margaret Cancer Center, University Health Network, Toronto, ON M5G 1L7, Canada.
  • Kislinger T; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
Biomolecules ; 13(1)2022 12 30.
Article em En | MEDLINE | ID: mdl-36671461
ABSTRACT
The tumor microenvironment has recently emerged as a critical component of high-grade serous ovarian cancer (HGSC) disease progression. Specifically, cancer-associated fibroblasts (CAFs) have been recognized as key players in various pro-oncogenic processes. Here, we use mass-spectrometry (MS) to characterize the proteomes of HGSC patient-derived CAFs and compare them to those of the epithelial component of HGSC to gain a deeper understanding into their tumor-promoting phenotype. We integrate our data with primary tissue data to define a proteomic signature of HGSC CAFs and uncover multiple novel CAF proteins that are prognostic in an independent HGSC patient cohort. Our data represent the first MS-based global proteomic characterization of CAFs in HGSC and further highlights the clinical significance of HGSC CAFs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Cistadenocarcinoma Seroso / Fibroblastos Associados a Câncer Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Cistadenocarcinoma Seroso / Fibroblastos Associados a Câncer Idioma: En Ano de publicação: 2022 Tipo de documento: Article