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Article

An integrated molecular classification system identifies distinct prognostic clusters of non-muscle-invasive bladder cancer.

Functional & integrative genomics - 16 May 2026

Liu Kezhi, Chen Zhenhua, Jin Xiaohan, Liang Hui, Liu Haihua, Chen Jinwei, Gui Chengpeng, Chen Yuhang, Dai Ziran, Zhou Hao, Ai Zheyu, Wang Zhu, Deng Qiong, Wang Jieyan, Jin Meiyu, Luo Junhang, Chen Wei, Feng Zihao

Abstract excerpt

Molecular characterization of non-muscle-invasive bladder cancer (NMIBC) provides critical insights into the heterogeneity of clinical outcomes and treatment responses. The integration of existing transcriptomic subtyping systems to reconcile inconsistencies would facilitate clinical translation. The Markov cluster algorithm was utilized to construct a network integrating five published bladder cancer...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Receptor, Fibroblast Growth Factor, Type 3

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Source

Open in PubMed Open full text

Identifiers

PMID: 42142129
DOI: 10.1007/s10142-026-01884-2
PMCID: PMC13179896

Genes

FGFR3
TP53

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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