ArticleDiscover oncology2025
Comprehensive analysis of TMEM9 in human tumors.
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 8 papers.
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Who cites it
8 citing papers in PubMed.
- HisToSpatialCNV: an interpretable deep learning method predicting spatial copy number variations from histopathology images.Nature biomedical engineering · 2026Article
- Comprehensive pan-cancer analysis of MEX3A in human tumors.Discover oncology · 2026Article
- A pan-cancer analysis of MEX3D in human tumors.Discover oncology · 2026Article
- Comprehensive pan-cancer analysis of MEX3C in human tumors.Discover oncology · 2026Article
- Comprehensive bioinformatics analysis of EXOSC family genes in lung adenocarcinoma.Discover oncology · 2026Article
- A pan-cancer analysis of TMEM132A in human tumors.Discover oncology · 2026Article
- Transmembrane protein 9 as a novel biomarker promotes oral squamous cell carcinoma growth via IL1RN and serves as an immune therapeutic target.Translational cancer research · 2026Article
- Integrative bioinformatic and experimental analysis reveals prognostic and immunological roles of MEX3 family genes in glioma.Frontiers in immunology · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
backgroundTMEM9, a transmembrane protein, has emerged as a significant player in tumor progression, yet its comprehensive role across various cancers remains unclear. This study investigates the expression patterns, genetic alterations, immune associations, and prognostic implications of TMEM9 across multiple cancer types using large-scale bioinformatics approaches.
methodsTMEM9 expression was analyzed in normal and tumor tissues using data from the TCGA and GTEx databases, with protein expression verified via CPTAC datasets. The prognostic impact of TMEM9 was assessed using overall survival (OS) and disease-free survival (DFS) analyses across various cancers. Genetic alterations, including mutation types and copy number alterations, were explored using the cBioPortal platform. We also examined DNA methylation, RNA modifications, and immune infiltration correlations using bioinformatics tools, including TIMER2 and UALCAN. TMEM9's relationship with tumor mutational burden (TMB) and microsatellite instability (MSI) was analyzed, and gene enrichment analyses were performed using the STRING database and GO/KEGG pathway analyses.
resultsTMEM9 was significantly overexpressed in several cancers, including ACC, BLCA, BRCA, CHOL, COAD, GBM, and others. Elevated TMEM9 expression correlated with worse OS and DFS in ACC, CESC, KICH, UVM, and additional tumor types. Genetic alterations, predominantly amplifications, were frequent in BRCA, LIHC, and UCEC. DNA methylation analysis revealed hypermethylation in tumors like HNSC and KIRC, while RNA modification analyses showed TMEM9 associations with m6A and m1A-related genes. TMEM9 expression was strongly correlated with immune infiltration, particularly cancer-associated fibroblasts in tumors like THYM and HNSC. Positive associations between TMEM9 and TMB/MSI were observed in several cancers, suggesting genomic instability. Enrichment analyses identified TMEM9 involvement in pathways related to the endoplasmic reticulum, Wnt signaling, and protein processing.
conclusionTMEM9 plays a crucial role in cancer progression, influencing gene expression, immune modulation, and genomic instability. These findings highlight TMEM9 as a potential prognostic biomarker and therapeutic target across multiple cancer types.
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