Evidence map›Paper›PMID 42164352›Full record

ArticleTranslational andrology and urology2026

DARS2 serves as an independent prognostic factor and participates in multiple biological processes in bladder urothelial carcinoma.

Renhui Qiu, Taofa Lin, Li Dong, Miao He, Shilong Deng, Shengfa Xu, Zhen Deng, Cheng Deng, Chunyu Guo

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Article in Translational andrology and urology, 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Renhui Qiu *Department of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.
Taofa Lin *Department of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.
Li Dong *Department of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.
Miao HeDepartment of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.
Shilong DengDepartment of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.
Shengfa XuDepartment of Medical Informatics, 910th Hospital of PLA Joint Logistic Support Force, Quanzhou, China.
Zhen DengDepartment of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.
Cheng DengDepartment of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.
Chunyu GuoDepartment of Urology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder urothelial carcinoma (BLCA) is a prevalent malignant tumor within the urinary system. Aspartyl-tRNA Synthetase 2, Mitochondrial (DARS2), a key enzyme involved in mitochondrial protein synthesis, is frequently overexpressed in various cancers and is associated with clinical stage. This study aims to explore the potential of DARS2 as a prognostic biomarker and therapeutic target in BLCA, with the ultimate goal of constructing a prognostic model. Methods: Expression profiles of BLCA were obtained from The Cancer Genome Atlas (TCGA) database and the Genotype-Tissue Expression (GTEx) database, encompassing a total of 431 samples. Differential gene expression between tumor and normal tissues was first analyzed using the "limma" R package. To identify independent prognostic genes, we integrated various statistical and machine learning approaches, including univariate and multivariate Cox proportional hazards analyses, with variable selection performed via Cox proportional hazards regression with least absolute shrinkage and selection operator (LASSO). For the key gene DARS2, its expression differences were further analyzed using the edgeR method, followed by gene set enrichment analysis (GSEA) to explore associated functional pathways. Furthermore, immune cell infiltration was evaluated using multiple algorithms. The role of DARS2 in BLCA progression was systematically investigated by integrating analyses of gene mutations, tumor mutational burden (TMB), and survival outcomes. Finally, a prognostic model was constructed based on DARS2 expression levels and validated using the GSE13507 dataset from the Gene Expression Omnibus (GEO) database. Results: Based on the analytical methods described above, we observed that the expression of DARS2 messenger ribonucleic acid (mRNA) was significantly upregulated in BLCA tissues, and its elevated expression was independently associated with adverse patient prognosis. Immune infiltration analysis revealed that DARS2 expression exhibited a significant negative correlation with major immunologically active cells, such as CD4 Conclusions: Comprehensive analysis suggests that DARS2 holds promise as a potential independent prognostic biomarker for patient stratification in BLCA and may serve as a viable target for the development of immunotherapeutic strategies.

Indexed as

Aspartyl-tRNA Synthetase 2, Mitochondrial (DARS2)bladder urothelial carcinoma (BLCA)immune infiltrationprognostic biomarkertumor mutational burden (TMB)

Identifiers

PMID42164352
PMCPMC13184252

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