Evidence map›Paper›PMID 40530133›Full record

ArticleTranslational cancer research2025

Identification of the MEX3 family as potential biomarkers of hepatocellular carcinoma based on bioinformatics and experiments.

Jingrong Xian, Anli Jin, Mi Zhou, Wenqi Shao, Jing Zhu, Baishen Pan, Beili Wang, Wei Guo, Wenjing Yang

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Article in Translational cancer research, 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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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

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9 authors.

Jingrong Xian *Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Anli Jin *Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Mi Zhou *Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenqi ShaoDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Jing ZhuDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Baishen PanDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Beili WangDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Wei GuoDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Wenjing YangDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Members of the MEX3 RNA-binding protein family have been widely recognized as critical in the development and progression of cancer. However, the specific role of MEX3 in liver hepatocellular carcinoma (LIHC) remains largely unexplored. This study aims to exploring the potential functions and mechanisms of MEX3 family genes in LIHC. Methods: To address this gap, we performed a comprehensive bioinformatics analysis using various tools and databases, including the The Cancer Genome Atlas (TCGA) dataset, R software, Kaplan-Meier Plotter, cBioPortal, LinkedOmics, Metascape, TIMER, receiver operating characteristic (ROC) curve, and nomogram. Furthermore, the protein levels of MEX3 family were assessed by Western blot and the Human Protein Atlas. Results: Our analyses revealed that MEX3 family genes were significantly overexpressed in multiple types of tumor tissues, particularly in LIHC. Specifically, MEX3A was highly expressed in Asian populations, while MEX3B/C/D showed increased expression in tumors of higher grades and advanced clinical stages. High expression of MEX3A correlated with poor survival outcomes; MEX3C/D showed partial associations with poor survival, whereas MEX3B indicated a favorable trend. Mutations in the Conclusions: Our findings suggest that the MEX3 family is associated with the prognosis of hepatocellular carcinoma patients and contributes to disease progression by modulating the cell cycle and protein post-transcriptional modifications. Furthermore, this family is related to the tumor microenvironment, particularly in hypoxia and immune responses, which holds significant value for predicting liver cancer outcomes.

Indexed as

bioinformatics analysisgene mutationHepatocellular carcinomaMEX3 familyprognostic markers

Identifiers

PMID40530133
PMCPMC12170218

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