Unveiling histotype-specific biomarkers in ovarian carcinoma using proteomics

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 (BL) and benign (B) tumors, and identify candidate 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 histotype-specific attributes for known and EOC biomarkers that may serve as clinical tools for EOC diagnosis and treatment decisions.

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Publication Details

Journal
Molecular Therapy Oncology
Published
2025-07-16
DOI
https://doi.org/10.1016/j.omton.2025.201019
Citations
2
Primary Topic
Caveolin-1 and cellular processes
Type
article
Field-Weighted Citation Impact
2.30

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article

Unveiling histotype-specific biomarkers in ovarian carcinoma using proteomics

Ella Ittner, Toshima Z. Parris, Axel Stenmark Tullberg, Claudia Mateoiu et al.
2 citations
Molecular Therapy Oncology
Caveolin-1 and cellular processes
2.30
article

Unveiling histotype-specific biomarkers in ovarian carcinoma using proteomics

Ella Ittner, Toshima Z. Parris, Axel Stenmark Tullberg, Claudia Mateoiu, Annika Thorsell, Elisabeth Werner Rönnerman, Parisa Esmaeili, Khalil Helou, Elham Rekabdar, Hugo Swenson, Lucas Werner, Fredrik Levander, Pernilla Dahm‐Kähler, Anikó Kovács, Eva B. Forssell-Aronsson, Ghassan M. Saed, Per Karlsson
article en
2 citations

Abstract

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 (BL) and benign (B) tumors, and identify candidate 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 histotype-specific attributes for known and EOC biomarkers that may serve as clinical tools for EOC diagnosis and treatment decisions.

Molecular Therapy OncologyVol. 33(3)
University of Jordan (JO), Wayne State University (US), Lund University (SE), Sahlgrenska University Hospital (SE), The Barbara Ann Karmanos Cancer Institute (US), University of Gothenburg (SE), Stanford University (US)
Cancerfonden, Stiftelsen Assar Gabrielssons Fond, Stiftelsen Konung Gustaf V:s Jubileumsfond, Sahlgrenska University Hospitals Research Foundations, Health and Medical Care Committee of the Regional Executive Board, Region Västra Götaland
Zero hunger
Openalex Percentile: Top 12%
Caveolin-1 and cellular processes
2.30
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