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May 18, 2026Functional & Integrative GenomicsOpen Access

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

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Authors

KLKezhi LiuZCZhenhua ChenXJXiaohan Jin

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Overview

Randomized trial identifies prognostic clusters in non-muscle-invasive bladder cancer, suggesting improved treatment strategies.

Key Points

  • This study aims to establish a comprehensive molecular classification system for non-muscle-invasive bladder cancer.
  • Utilized the Markov cluster algorithm to integrate existing transcriptomic classification systems.
  • Identified four distinct integrated molecular clusters (IMC1-4) based on molecular characteristics.
  • Developed a single-sample classifier for categorizing tumors into integrated molecular clusters.
  • IMC2 exhibited significant enrichment of FGFR3 mutations.
  • IMC4 showed predominant TP53 alterations.
  • IMC1 and IMC3 patients had improved progression-free survival after BCG treatment.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a0aaccf5ba8ef6d83b7030fhttps://doi.org/10.1007/s10142-026-01884-2
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