Evidence map›Paper›PMID 39584004›Full record

ArticleAmerican journal of clinical and experimental urology2024

Prognostic features of bladder cancer based on five neddylation-related genes.

Jiang Guo, Yuanning Zhang, Lei He, Xiaojun Wang, Zhangyan Chen, Can Yao

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Article in American journal of clinical and experimental urology, 2024. 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

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6 authors.

Jiang GuoDepartment of Urology, Anyue County People's Hospital Ziyang 642350, Sichuan, PR China.
Yuanning ZhangDepartment of Urology, Renhuai People's Hospital Renhuai 564500, Guizhou, PR China.
Lei HeDepartment of Urology, Anyue County People's Hospital Ziyang 642350, Sichuan, PR China.
Xiaojun WangDepartment of Urology, Anyue County People's Hospital Ziyang 642350, Sichuan, PR China.
Zhangyan ChenDepartment of Urology, Ziyang Central Hospital Ziyang 642350, Sichuan, PR China.
Can YaoDepartment of Urology, Sichuan Second Traditional Chinese Medicine Hospital Chengdu 610000, Sichuan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNedylation and tumours are closely linked. The role of nedylation in bladder cancer (BCa) has rarely been reported and this study aims to explore its potential impact on the pathogenesis and progression of BCa.

methodsLeveraging gene expression data from the TCGA database, this research employs the limma software package and WGCNA for gene module identification and analysis. Subsequent steps include the construction of a PPI network, the conduct of LASSO and univariate Cox regression analyses, and utilizing GSEA and single-cell sequencing to examine the influence of hub genes in bladder cancer-related biological pathways.

resultsThe investigation revealed 11,361 genes with significant differential expression between normal and tumour tissues, and identified 1,500 hub genes through analysis. LASSO regression identified eight critical genes. Univariate Cox regression analysis revealed that COMMD9, GPS1, PSMB5, VHL, and WDR5 are independent prognostic factors for BCa. GSEA and single-cell sequencing highlight the potential of these genes to modulate immune responses and interactions between tumour and immune cells. Meanwhile, GSEA demonstrated that GPS1 can activate the NF-κB signalling pathway, leading to an increase in influenza virus polymerase activity.

conclusionThis study identifies COMMD9, GPS1, PSMB5, VHL, and WDR5 as significant prognostic markers in BCa, thereby underscoring their roles in immune regulation and tumour-immune cell dynamics.

Indexed as

Bladder cancermolecular biomarkersneddylationpersonalized medicineprognostic analysis

Identifiers

PMID39584004
PMCPMC11578774

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