Evidence map›Paper›PMID 42185687›Full record

ArticleDiscover oncology2026

Multi-omics analysis reveals TM4SF19 as a diagnostic and prognostic biomarker in bladder cancer.

Xierzhati Aizezi, Bahatiguli Silafu, Hanzhen Shi, Jinxing Huang

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xierzhati Aizezi *Department of Urology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Bahatiguli Silafu *Department of Physician Services, Xinjiang International Medical Center (Xinjiang International Hospital), Urumqi, Xinjiang, People's Republic of China.
Hanzhen ShiDepartment of Urology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Jinxing HuangDepartment of Urology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China. prof_Huangjx@163.com.

Funding

Sponsored by Natural Science Foundation of Xinjiang Uygur Autonomous Region 2025D01C461
6 · The paper itself

Abstract

objectiveBladder cancer poses a significant clinical challenge due to its high recurrence and heterogeneity, necessitating novel biomarkers. To explore the multidimensional role of TM4SF19, a tetraspanin family member, as a potential diagnostic and prognostic biomarker in bladder cancer (BLCA) through multi-omics analysis.

methodsThis study integrated multi-omics data from public databases (TCGA, GEPIA, cBioPortal, TIMER, LinkedOmics) to analyze TM4SF19 expression, genomic alterations, prognostic significance, immune infiltration associations, and drug sensitivity in bladder cancer. Analytical methods included differential expression analysis (limma package), survival analysis (Kaplan-Meier and Cox regression), nomogram construction, functional enrichment (GSEA, KEGG), immune microenvironment assessment (MCPcounter, TIMER), and drug sensitivity evaluation (GDSC database). Statistical analyses were performed using R software (v4.0.2) with significance set at p < 0.05

resultsTM4SF19 was significantly upregulated in bladder cancer tissues (p < 0.01) and demonstrated high diagnostic accuracy (AUC = 0.831). High TM4SF19 expression correlated with advanced pathological stage, lymphovascular invasion, and poorer overall survival (p < 0.05). Functional analysis linked TM4SF19 to PI3K-Akt/MAPK signaling pathways and immune modulation, showing negative correlations with CD8⁺ T cells and B cell infiltration. TM4SF19 expression also negatively correlated with sensitivity to Trametinib and Docetaxel but positively with Navitoclax and AR-42, indicating its role in chemotherapy resistance.

conclusionTM4SF19 is a promising diagnostic and independent prognostic biomarker in BLCA, influencing tumor progression through signaling pathways and immune microenvironment modulation. Its association with chemotherapy resistance highlights its potential as a therapeutic target.

Indexed as

BiomarkerBladder cancerMulti-omics analysisTM4SF19

Identifiers

PMID42185687
PMCPMC13385545

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