Evidence map›Paper›PMID 40375456›Full record

ArticleJournal of the Chinese Medical Association : JCMA2025

Redefined complement C3c structures have significant increase in the plasma of ovarian cancer patients.

Dong-Hao Chen, Yi-Wen Chang, Chin-Hsiang Chien, Pao-Ling Torng, Yeou-Guang Tsay

Abstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Is C3c structure useful as biomarkers for epithelial ovarian cancer?Journal of the Chinese Medical Association : JCMA · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dong-Hao ChenProgram in Molecular Medicine, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Yi-Wen ChangProgram in Molecular Medicine, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Chin-Hsiang ChienOncoLock Co., LTD, Taipei, Taiwan, ROC.
Pao-Ling TorngDepartment of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan, ROC.
Yeou-Guang TsayProgram in Molecular Medicine, College of Life Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer (OC) is the third most common gynecological cancer. Effective biomarkers are required for OC as in the case of other cancers. Therefore, here we explored whether plasma proteolytic products could serve as potential biomarkers.

methodsWe devised a platform that incorporates CyDye labeling, macroporous reversed-phase liquid chromatography, reducing/nonreducing sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAG), and fluorescence imaging. Paired preoperative and postoperative plasma samples from four patients were used to screen for possible proteolytic changes. For identified difference proteins, liquid chromatography-tandem mass spectrometry was used to analyze the protein digests using various proteases. Plasma samples from 33 healthy controls and 85 patients with OC were examined using an enzyme-linked immunosorbent assay.

resultsOur analyses revealed that the circulating complement C3 derivative was present only in the diseased state. This 145-kDa species, under nonreducing conditions, could split into 72-, 39-, and 29-kDa fragments upon reduction, reminiscent of the C3c structure. While confirming the C3c identity, mass spectrometric analyses showed multiple C-terminal ends in the C3c α'1 fragment, which were utilized differently among patients with OC. Various ends were also observed in serum samples prepared using different complement activators, thus redefining C3c as a mixture of multiple molecular entities. Enzyme-linked immunosorbent assay (ELISA) targeting only canonical C3c demonstrated a strong correlation between increased plasma levels and the occurrence and progression of OC.

conclusionOur findings suggest that plasma proteolysis during complement deactivation is explicitly involved in ovarian tumorigenesis and the associated protein changes may aid in developing next-generation cancer biomarkers.

Indexed as

Complement C3cOvarian NeoplasmsAdultAgedBiomarkers, TumorFemaleHumansMiddle AgedBiomarkers, TumorComplement C3cBiomarkersComplement C3Mass spectrometryOvarian neoplasmsProteolysis

Identifiers

PMID40375456
PMCPMC12637100

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.