Evidence map›Paper›PMID 40374855›Full record

ArticleScientific reports2025

Comprehensive bioinformatics analysis of MEX3 family genes in hepatocellular carcinoma.

Xuezhong Zhang, Peng Sun, Tingting Chu, Yuling Feng, Xuebin Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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.

Xuezhong Zhang *Department of Laboratory Medicine, Zibo Central Hospital, Zibo, Shandong, China.
Peng Sun *Department of Gastroenterology, Zibo Central Hospital, Zibo, Shandong, China.
Tingting Chu *Department of Laboratory Medicine, Zibo Central Hospital, Zibo, Shandong, China.
Yuling FengDepartment of Infection Disease and Hepatology Ward, Zibo Central Hospital, Zibo, Shandong, China. sdfengyuling@126.com.
Xuebin ZhangDepartment of Anorectal Surgery, Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, China. tank10@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a highly lethal malignancy associated with poor prognosis due to late-stage diagnosis and high recurrence rates. The MEX3 family genes has been implicated in various cancers; however, their roles in HCC remain largely unexplored. This study aims to systematically analyze the expression patterns, prognostic significance, and immune-related functions of MEX3A, MEX3B, MEX3C, and MEX3D in HCC using comprehensive bioinformatics approaches. We conducted a multi-level bioinformatics analysis to investigate the expression, prognostic significance, clinicopathological correlations, genetic alterations, immune associations, and functional mechanisms of MEX3 family members in HCC. Transcriptomic data from TCGA and GEO databases, along with experimental validation via qRT-PCR and Western blotting, were used to assess expression profiles. Kaplan-Meier, ROC curve, and Cox regression analyses were employed for prognostic evaluation. Co-expression, enrichment, and immune infiltration analyses further elucidated the functional and immunological relevance of MEX3 family genes. A prognostic model based on co-expressed genes was constructed and validated using LASSO and time-dependent ROC analyses. MEX3A, MEX3B, MEX3C, and MEX3D were significantly upregulated in HCC tissues compared to normal liver tissues (P < 0.05). ROC curve analysis demonstrated high diagnostic accuracy, particularly for MEX3A (AUC = 0.915). Kaplan-Meier survival analysis indicated that elevated MEX3A and MEX3C expression was associated with poorer overall survival (OS) and disease-specific survival (DSS) (P < 0.05). Mutation analysis revealed that MEX3A exhibited the highest alteration frequency (11%), primarily through gene amplifications. Immune infiltration analysis demonstrated significant correlations between MEX3 expression and multiple immune cell populations, including regulatory T cells (Tregs), cytotoxic T cells, and macrophages. Moreover, MEX3B, MEX3C, and MEX3D expression correlated with key immune checkpoint genes, including PDCD1, CD274, and CTLA4. Functional enrichment analysis revealed that MEX3 co-expressed genes were significantly involved in RNA metabolism, immune response regulation, and oncogenic signaling pathways. A 17-gene MEX3 co-expression-based prognostic model stratified patients into high- and low-risk groups with significantly different survival outcomes (AUC = 0.791 at 1 year). This study highlights the oncogenic potential of MEX3 family members in HCC and their associations with immune regulation. The findings suggest that MEX3 family genes could serve as potential biomarkers for HCC prognosis and immunotherapy responsiveness. Further experimental validation is warranted to elucidate the mechanistic roles of MEX3 family genes in HCC progression and immune evasion.

Indexed as

Carcinoma, HepatocellularComputational BiologyLiver NeoplasmsRNA-Binding ProteinsBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisBiomarkers, TumorRNA-Binding ProteinsBioinformatics analysisBiomarkersHepatocellular carcinoma (HCC)Immune infiltrationImmunotherapyMEX3 family genes

Identifiers

PMID40374855
PMCPMC12081770

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.