Evidence map›Paper›PMID 41249738›Full record

ArticleDiscover oncology2025

Serum miR-200c-3p and miR-6134 as diagnostic biomarkers for epithelial ovarian cancer.

Rina Kawahara, Eiji Nishio, Aya Iwata, Haruki Nishizawa, Naoki Yamamoto, Takuma Fujii

Abstract read
In one paragraph

Article in Discover oncology, 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.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rina KawaharaDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, 1-98, Dengakugakubo, Toyoake, Aichi, 470-1192, Japan.
Eiji NishioDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, 1-98, Dengakugakubo, Toyoake, Aichi, 470-1192, Japan.
Aya IwataDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, 1-98, Dengakugakubo, Toyoake, Aichi, 470-1192, Japan.
Haruki NishizawaDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, 1-98, Dengakugakubo, Toyoake, Aichi, 470-1192, Japan.
Naoki YamamotoResearch Promotion Headquarters, Fujita Health University, School of Medicine, 1-98, Dengakugakubo, Toyoake, Aichi, 470-1192, Japan.
Takuma FujiiDepartment of Obstetrics and Gynecology, Fujita Health University, School of Medicine, 1-98, Dengakugakubo, Toyoake, Aichi, 470-1192, Japan. fujiit44@fujita-hu.ac.jp.

Funding

Japan Society for the Promotion of Science 23K08812
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) regulate gene expression and are emerging as biomarkers for epithelial ovarian cancer (EOC). We evaluated the diagnostic performance of serum miR-200c-3p and miR-6134, alone and in combination with established markers, to distinguish EOC from benign ovarian tumors and healthy controls.

methodsIn this single-center, retrospective study, sera were collected from patients with EOC (N = 95), benign tumors (N = 115), and healthy controls (N = 40). Candidate miRNAs were screened by microarray and quantified by real-time PCR. Serum CA125, HE4, and IL-6 were measured by ELISA. Receiver operating characteristic curves and area under the curve (AUC) values were used to assess diagnostic performance.

resultsBoth miR-200c-3p and miR-6134 were significantly upregulated in EOC. In EOC vs. healthy controls, HE4 showed the highest AUC (0.929, 95% confidence interval [CI]: 0.886-0.972), followed by CA125 (0.870, CI: 0.807-0.933) and miR-6134 (0.818,CI: 0.749-0.888). In EOC vs. benign tumors, miR-6134 had the highest AUC (0.933,CI: 0.891-0.975). The combination of miR-6134, CA125, HE4, and IL-6 achieved an AUC of 0.968 (CI: 0.942-0.995). Among patients with CA125 < 35 U/mL, the combination of miR-200c-3p and miR-6134 yielded an AUC of 0.935 (CI: 0.848-1.000).

conclusionsThe combination of miR-6134, CA125, HE4, and IL-6, or miR-6134 alone, shows potential as a serum biomarker for EOC, particularly in distinguishing malignant from benign ovarian tumors. The combination of two miRNAs also demonstrated high discriminative power in cases with CA125 below the cutoff. These findings may contribute to the development of improved non-invasive diagnostic tools and warrant further validation.

Indexed as

BiomarkerEpithelial ovarian cancermiRNASerum

Identifiers

PMID41249738
PMCPMC12623544

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