Evidence map›Paper›PMID 40198459›Full record

ArticleDiscover oncology2025

CLDN9 and hsa-miR-4496 as non-invasive biomarkers for gastric cancer detection.

Qiongxia Hu, Lu Han, Jinglin Wang, Fei Li, Hongfei Pu, Yue Shi

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 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qiongxia Hu *Department of Precision Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Lu Han *Department of Comprehensive Ward, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Jinglin WangDepartment of Gastroenterology, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China.
Fei LiDepartment of Gastroenterology, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China.
Hongfei PuDepartment of Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China.
Yue ShiSchool of Clinical Medicine, Changchun University of Chinese Medicine, No.1035, Boshuo Road, Jingyue National Hi-Tech Industrial Development Zone, Changchun, 130117, Jilin Province, China. octoberpearl@126.com.

Funding

Guizhou Provincial Science and Technology Program QKH JC-ZK [2023]-214
6 · The paper itself

Abstract

backgroundGastric cancer is a leading cause of cancer deaths globally due to its often late diagnosis and poor survival rates. There's an urgent need for reliable non-invasive biomarkers for early detection. Claudin-9 (CLDN9), a protein implicated in epithelial-mesenchymal transition (EMT), has shown elevated expression in various cancers. This study investigates CLDN9's potential as a diagnostic marker for GC, with particular focus on mitochondrial pathway involvement.

methodsThe analysis of CLDN9 expression in gastric cancer was conducted and validated through immunohistochemistry using data from The Cancer Genome Atlas (TCGA) database. The identification of microRNAs regulating CLDN9 utilized machine learning techniques, such as LASSO regression and random forest algorithms. The diagnostic potential of hsa-miR-4496, a primary regulatory miRNA, was evaluated in plasma and saliva samples, with diagnostic accuracy assessed using ROC curve analysis.

resultsCLDN9 is significantly overexpressed in GC tissues and is associated with advanced stages and reduced survival rates. Immunohistochemical analysis confirmed the increased expression of CLDN9 protein in tumor tissues. Machine learning algorithms identified hsa-miR-4496 as the primary regulatory factor of CLDN9, with miRNA-regulated mRNA pathway analysis emphasizing that miRNA could exert its effects through the regulation of mitochondrial pathways. Pathway enrichment analysis highlighted mitochondrial processes as key regulatory pathways. Diagnostic evaluation of CLDN9 in plasma and saliva showed an AUC of 0.823, indicating strong diagnostic potential.

conclusionsThe results underscore the potential of CLDN9 and hsa-miR-4496 as promising non-invasive biomarkers for gastric cancer, with mitochondrial pathways being integral to their regulatory mechanisms. These biomarkers present potential for incorporation into clinical protocols, thereby facilitating early intervention and personalized treatment strategies for gastric cancer (GC).

Indexed as

Claudin-9Early detectionGastric cancerHsa-miR-4496MicroRNAMitochondrial pathwaysNon-invasive biomarker

Identifiers

PMID40198459
PMCPMC11978559

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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.