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Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes

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 ch...

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Detalles Bibliográficos
Autores principales: Govindarajan, Meinusha, Ignatchenko, Vladimir, Ailles, Laurie, Kislinger, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855416/
https://www.ncbi.nlm.nih.gov/pubmed/36671461
http://dx.doi.org/10.3390/biom13010075
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author Govindarajan, Meinusha
Ignatchenko, Vladimir
Ailles, Laurie
Kislinger, Thomas
author_facet Govindarajan, Meinusha
Ignatchenko, Vladimir
Ailles, Laurie
Kislinger, Thomas
author_sort Govindarajan, Meinusha
collection PubMed
description 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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spelling pubmed-98554162023-01-21 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 Biomolecules Article 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. MDPI 2022-12-30 /pmc/articles/PMC9855416/ /pubmed/36671461 http://dx.doi.org/10.3390/biom13010075 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Govindarajan, Meinusha
Ignatchenko, Vladimir
Ailles, Laurie
Kislinger, Thomas
Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes
title Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes
title_full Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes
title_fullStr Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes
title_full_unstemmed Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes
title_short Proteomics of High-Grade Serous Ovarian Cancer Models Identifies Cancer-Associated Fibroblast Markers Associated with Clinical Outcomes
title_sort proteomics of high-grade serous ovarian cancer models identifies cancer-associated fibroblast markers associated with clinical outcomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9855416/
https://www.ncbi.nlm.nih.gov/pubmed/36671461
http://dx.doi.org/10.3390/biom13010075
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