Evidence map›Paper›PMID 40687655›Full record

ArticleTranslational andrology and urology2025

Leveraging hypoxia-related genes signature for predicting the prognosis of bladder cancer.

Yang Dong, Yu-Ang Chen, Pei-Ze Yu, Qiang Liu, Ran Zhou, Hui Yu, Zhen-Duo Shi, Lin Hao, Tong Zhao, Jun Ding and 1 more

Abstract read
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Article in Translational andrology and urology, 2025. 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

11 authors.

Yang Dong *Suzhou Medical College of Soochow University, Suzhou, China.
Yu-Ang Chen *Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Pei-Ze Yu *Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Qiang Liu *Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Ran ZhouXuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Hui YuDepartment of Urology, Yantai Hospital of Traditional Chinese Medicine, Yantai, China.
Zhen-Duo ShiDepartment of Urology, Xuzhou Central Hospital, Postgraduate Workstation of Soochow University Xuzhou, China.
Lin HaoDepartment of Urology, Xuzhou Central Hospital, Postgraduate Workstation of Soochow University Xuzhou, China.
Tong ZhaoDepartment of Urology, Jiaozuo People's Hospital, Jiaozuo, China.
Jun DingDepartment of Urology, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, China.
Cong-Hui HanSuzhou Medical College of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypoxia is common in solid tumors, facilitating tumor growth and treatment resistance, and is crucial for optimizing patient outcomes, but research on the mechanism of hypoxia in bladder cancer (BC) remains limited. This study aims to explore the functional role of hypoxia-related genes (HRGs) in BC. Methods: The HRGs were obtained from GeneCards, and the hypoxia score in BC patients was evaluated by single-sample gene set enrichment analysis (ssGSEA). The prognostic risk model was constructed using differentially expressed prognostic HRGs, and assessed via time-dependent receiver operating characteristic (ROC) curves, Kaplan-Meier (KM) curve, and nomogram analysis. Differential features between high- and low-risk groups were analyzed, including clinical characteristics, biological functions, mutation profiles, immune infiltration, and drug sensitivity. We measured the expression of hub genes Results: The hypoxia score system was proven effective in BC diagnosis and prognostic prediction based on ROC and KM analyses. The prognostic risk model was constructed with Conclusions: We developed a novel prognostic risk model as an independent predictor for BC patients, which offers insights into immune microenvironment and carcinogenesis mechanisms of BC. Analyzing mutation patterns, drug sensitivities, and the developmental trajectories of genes within this model would be helpful for refining therapeutic strategies.

Indexed as

bladder cancer (BC)Hypoxia-related genes (HRGs)prognosisrisk modelsingle-cell sequencing

Identifiers

PMID40687655
PMCPMC12271935

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.