Evidence map›Paper›PMID 42244509›Full record

ArticleInternational journal of clinical and experimental pathology2026

A five-gene mitochondria-associated prognostic signature for bladder cancer.

Jing Liu, Bo Li, Rongrong Hou, Jiali Sun, Xiaolei Ning, Chongni Li, Fang Li, Lingang Zhang

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Article in International journal of clinical and experimental pathology, 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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5 · Who and what money

Authors and funding

8 authors.

Jing LiuPathology Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.
Bo LiReproductive Medicine Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.
Rongrong HouMaternity Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.
Jiali SunColor Doppler Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.
Xiaolei NingEmergency Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.
Chongni LiEmergency Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.
Fang LiEmergency Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.
Lingang ZhangEmergency Department, Yuncheng Central Hospital Yuncheng, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BLCA) is a common malignant tumor of the urinary system with a poor prognosis, especially in cases of invasive or advanced patients. Although mitochondrial dysfunction is associated with tumor progression, there are relatively few mitochondrial-related prognostic models for bladder cancer. The intention of study was to construct a five-gene mitochondrial-related prognostic marker for bladder cancer, and perform external validation, and then explore its association with the tumor immune microenvironment and potential immune treatment response.

methodsTranscriptome and clinical data were obtained from TCGA and GEO databases - intersecting bladder cancer-related differentially expressed genes (BLCA-related DEGs) with the mitochondrial-related gene database (MitoCarta 3.0 genes) to find the mitochondria-related differentially expressed genes (Mitochondria-related DEGs). Construction of a prognosis model using univariate (uni), lasso, and multivariate Cox regression analyses, was used for verificaiotn in 2 gene expression profile public databases (GEO cohorts). Functional enrichment (func enrich), tumor microenvironment (tumor microenv), immune infiltration (immune infil), mutation (mut), and single-cell transcriptomic analyses were carried out.

resultsA prognosis model was created containing five genes: COX7A1, MTHFD1L, MTG1, SCO2, and ACP6. The survival rate of high-risk patients was found to be poorer compared with that of low-risk patients. The high-risk tumor stromal score was higher, the fibroblast-related characteristics were enriched, with differences in the immune pattern. Single-cell analysis found COX7A1 in endothelial cells and mast cells, MTHFD1L in T cells, and SCO2 in endothelial cells. Functional analysis associated the high-risk group with extracellular matrix remodeling, stromal activation, and changes in immune pathways. This model also has potential value in estimating the response to immunotherapy.

conclusionsA five-gene prognosis marker related to mitochondria for bladder cancer was developed and verified. This model may become a useful tool for survival stratification of bladder cancer patients and characterization of tumor microenvironment heterogeneity.

Indexed as

immunotherapyPoor mitochondrial function in bladder cancerprognosis markersingle-cell analysistumor microenvironment

Identifiers

PMID42244509
PMCPMC13231244

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