ArticleCommunications medicine2025
Deep plasma proteomics identifies and validates an eight-protein biomarker panel that separate benign from malignant tumors in ovarian cancer.
Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- The role of circulating tumor DNA in ovarian cancer.Discover oncology · 2026Review
- Identification of ovarian cancer-associated antigens forming complexes with autoantibodies.Journal of ovarian research · 2026Article
- Breast and ovarian cancers: toward a multi-cancer early detection test.Frontiers in immunology · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundOvarian cancer has the highest mortality of all gynecological cancers and surgery is commonly used as final diagnostic. Available literature indicates that women with benign tumors could often be conservatively managed, but accurate molecular tests are needed for triaging when gold-standard imaging techniques are inconclusive or lacking.
methodsHere, we analyzed 5416 plasma proteins in two independent cohorts (N
resultsWe identify 327 biomarker associations, corresponding to 191 unique proteins, and replicate 326 (99.7%). By comparing the 191 proteins with their corresponding tumor gene expression we find that only 11% (21/191) have significant correlation. Through analyzes of protein-protein correlation networks, we find that 62 of the 191 proteins have high correlation with at least one other protein, suggesting that many of the associations are secondary effects. In the replication cohort, our model has areas under the curve (AUC = 0.96) corresponding to 97% sensitivity at 68% specificity. For early-stage tumors, we estimate the sensitivity to 91% at a specificity of 68% as compared to 85% and 54% for CA-125 alone.
conclusionsOur results indicates that up to one third of benign cases can be identified by molecular measures thereby reducing the need for diagnostic surgery.
Identifiers
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Registered trials
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