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September 12, 2025Frontiers in ImmunologyOpen Access

Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics analysis

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Authors

ZZZhaokai ZhouYCYajun ChenZWZhan Wang

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Overview

Single-cell analysis reveals distinct CAF subtypes and their immune characteristics in bladder cancer, suggesting new treatment targets.

Key Points

  • The study identified distinct cancer-associated fibroblast subclusters associated with bladder cancer progression, indicating their integral role in the tumor microenvironment.
  • Through single-cell RNA sequencing, 10 different cancer-associated fibroblast subtypes were categorized, showing variations in immune response and prognosis.
  • Machine learning algorithms were utilized to detect potential therapeutic targets for each subcluster, enhancing treatment strategies for bladder cancer patients.
  • Findings highlight the significant heterogeneity among cancer-associated fibroblasts in bladder cancer, offering insights into their differential roles in disease development.

Cite This Study

Zhou et al. (2025) studied this question.

synapsesocial.com/papers/68d44a4731b076d99fa53dfbhttps://doi.org/10.3389/fimmu.2025.1580986
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Also Consider

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  1. 1Single-cell transcriptomics deciphers cancer-associated fibroblast heterogeneity and immune regulatory mechanisms in the bladder cancer tumor microenvironment2026
  2. 2Cancer-Associated Fibroblasts in Bladder Cancer: Immunosuppressive Mechanisms and Therapeutic Targeting2026
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