4.7 Article

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

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BIOMOLECULES
卷 13, 期 1, 页码 -

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MDPI
DOI: 10.3390/biom13010075

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high-grade serous ovarian cancer; cancer-associated fibroblast; mass spectrometry; proteomics; N-glycoproteomics; tumor microenvironment

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The tumor microenvironment, particularly cancer-associated fibroblasts (CAFs), plays a crucial role in the progression of high-grade serous ovarian cancer (HGSC). In this study, we used mass-spectrometry to analyze the proteomes of HGSC patient-derived CAFs and compared them with the epithelial component of HGSC, aiming to understand their tumor-promoting characteristics. By integrating our data with primary tissue data, we identified a proteomic signature of HGSC CAFs and discovered several novel CAF proteins that have prognostic value in an independent HGSC patient cohort. This study provides the first MS-based global proteomic characterization of CAFs in HGSC and emphasizes the clinical significance of HGSC CAFs.
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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