MassIVE MSV000097588

Partial Public PXD062815

Unveiling novel histotype-specific biomarkers in ovarian carcinoma using proteomics

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Description

Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy, yet clinical tools for diagnosis, prognosis and treatment remain limited, and molecular profiling of histotypes is lacking. Here, we leverage proteomic data to further stratify four main EOC histotypes, borderline, and benign tumors and identify novel prognostic and diagnostic biomarkers. Using proteomic data from 300 patient samples, we identified differentially abundant proteins (DAPs) such as SNCG, S100A1, VWA2, AGR2, CTH, and SPINK1 and biomarker panels to stratify the tissues. Enrichment of biological processes profiled histotypes and involvement of DAPs. Survival analysis identified candidate biomarkers predicting overall- and disease-specific survival with histotype-specificity. Of these, GLYR1, RPL12, GDPGP1, and POLR2M were associated with favorable outcomes, while SDF4, PPP3CC, EIF2AK2, and STX6 were linked to unfavorable outcomes. Collectively, these findings provide attributes spefici for histotypes for known and novel EOC biomarkers that may serve as new clinical tools for EOC treatment decisions and diagnosis. [doi:10.25345/C5FX74982] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: epithelial ovarian cancer ; histotype ; ovarian borderline ; ovarian benign ; proteomics ; disease stratification ; differential abundance analysis ; biomarkers ; biomarker panels ; enrichment analysis ; survival analysis ; fresh-frozen tissue ; novel biomarkers ; biomarker discovery ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Khalil Helou, University of Gothenburg, Institute of Clinical Sciences, Department of Oncology, Sweden
Submitting User: LW_GU98
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