Evidence map›Paper›PMID 40266427›Full record

ArticleDiscover oncology2025

TM9SF4 is a potential prognostic biomarker in hepatocellular carcinoma.

Yahui Ma, Lingling Guo, Bo Zhang, Ting Wang, Qingchun Feng

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

5 authors.

Yahui Ma *Department of General Surgery, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, 201800, People's Republic of China.
Lingling Guo *Department of Radiation Oncology, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Bo Zhang *Department of General Surgery, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, 201800, People's Republic of China.
Ting WangDepartment of Hepatobiliary and Pancreatic Surgery, Peking University Shenzhen Hospital, Shenzhen, 518036, China.
Qingchun FengDepartment of General Surgery, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, 201800, People's Republic of China. 13918911864@163.com.

Funding

National Clinical Key Specialty Construction Project 10000015Z155080000004Shanghai Jiading District Medical Key Discipline Fund 2020-jdyxzdxk-06
6 · The paper itself

Abstract

backgroundThe transmembrane 9 superfamily protein member 4 (TM9SF4) is a transmembrane protein upregulated in multiple cancers; however, its role in hepatocellular carcinoma (HCC) remains unknown.

methodsThe Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) and International Cancer Genome Consortium (ICGC) databases were utilized to investigate the differential expression of TM9SF4 in HCC and tumor tissues. The prognostic and value of TM9SF4 in HCC was evaluated using Kaplan-Meier analysis, Cox regression, and receiver operating characteristic (ROC) curve analyses. The expression pattern and prognostic value of TM9SF4 was further verified using immunohistochemical (IHC) examination of 87 pairs of HCC clinical specimens. A nomogram was constructed by combining TM9SF4 expression and clinicopathological parameters to predict prognosis for individual patient. Additionally, gene set enrichment analysis (GSEA) was performed to identify key pathways related to TM9SF4.

resultsTM9SF4 expression was upregulated in the HCC tissues. High expression of TM9SF4 was significantly associated with advanced T stage, histological grade, and worse survival. Multivariable Cox analysis revealed that TM9SF4 expression was an independent factor for overall survival. The nomogram by incorporating the TM9SF4 and T stage showed good performance in predicting prognosis. Moreover, GSEA analysis revealed that TM9SF4 was functionally involved in pathways associated with the cell cycle.

conclusionsThese findings suggest that TM9SF4 is a promising biomarker with prognostic potential and functional significance in HCC.

Indexed as

Cell cycleHepatocellular carcinomaPrognosis predictionTM9SF4

Identifiers

PMID40266427
PMCPMC12018652

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