Evidence map›Paper›PMID 40487936›Full record

ArticleWorld journal of gastrointestinal oncology2025

Circulating exosomal miR-17-92 cluster serves as a novel noninvasive diagnostic marker for patients with gastric cancer.

Ye Han, Xing-Po Guo, Qiao-Ming Zhi, Jing-Jing Xu, Fei Liu, Yu-Ting Kuang

Abstract read
In one paragraph

Article in World journal of gastrointestinal 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
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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. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Ye HanDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China.
Xing-Po GuoDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China.
Qiao-Ming ZhiDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China.
Jing-Jing XuDepartment of Central Laboratory, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China.
Fei LiuDepartment of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China.
Yu-Ting KuangDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China. sudaytkuang@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is among the most common malignant tumors and remains a leading cause of cancer-related mortality worldwide. Furthermore, exosomal miRNAs are regarded as promising noninvasive biomarkers for diagnosing malignant tumors.

aimTo investigate the expression of exosomal miR-17-92 clusters and develop a potential biomarker for GC diagnosis.

methodsExosomes were isolated from serum samples obtained from 72 GC patients and 20 healthy controls. The isolated exosomes were validated using transmission electron microscopy, nanoparticle tracking analysis, and western blotting. Exosomal RNA was then extracted, and the expression profile of the miR-17-92 cluster was analyzed using qRT-PCR. Statistical methods were employed to evaluate the relationship between the serum exosomal miR-17-92 cluster expression and the clinicopathological parameters of GC patients as well as to assess the diagnostic utility of these miRNAs.

resultsThe expression of four members of the exosomal miR-17-92 cluster-miR-17, miR-18, miR-19a, and miR-92-was significantly upregulated in the serum samples of patients with GC compared with those of healthy controls. The miR-17-92 cluster panel demonstrated substantially higher clinical diagnostic value for GC than any individual component or pair. Additionally, the expression of traditional tumor biomarkers-carcinoembryonic antigen and carbohydrate antigen 19-9-was significantly elevated in the serum of patients with GC compared with that of healthy controls. Each biomarker, whether alone or in combination, effectively differentiated the patients from healthy controls. Furthermore, a combined panel of the two traditional tumor biomarkers and the four miR-17-92 cluster members exhibited the highest diagnostic accuracy for GC. Elevated miR-17-92 expression was also strongly associated with tumor size, tumor depth, lymph node metastasis, distant metastasis, and tumor-node-metastasis stage.

conclusionOur findings revealed that the circulating exosomal miR-17-92 cluster may be used as a potential noninvasive biomarker to improve diagnostic efficiency for GC.

Indexed as

DiagnosisExosomeGastric cancermiR-17-92 clusterSerum

Identifiers

PMID40487936
PMCPMC12142227

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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 Socratic graph.