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Comprehensive analysis of RNA methylation-related genes to identify molecular cluster for predicting prognosis and immune profiles in bladder cancer

  • 0Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Scientific Reports +

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March 18, 2025

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March 18, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study reveals RNA methylation patterns in bladder cancer (BLCA) and identifies a 7-gene signature. This signature predicts prognosis, immune microenvironment, and immunotherapy response in BLCA patients.

Area Of Science

  • Oncology
  • Molecular Biology
  • Immunology

Background

  • RNA methylation modifications (m6A, m5C, m7G) are crucial in cancer.
  • The role of RNA methylation genes in bladder cancer (BLCA) immunity is unclear.

Purpose Of The Study

  • To investigate RNA methylation-related genes in BLCA.
  • To develop a prognostic and predictive model for BLCA.

Main Methods

  • Analysis of TCGA and GEO datasets to establish molecular subtypes.
  • Construction and validation of a risk model using LASSO and Cox regression.
  • Gene expression analysis (qRT-PCR, IHC) and functional assays for FN1.

Main Results

  • A 7-gene signature associated with BLCA prognosis was identified.
  • The risk model accurately predicted prognosis and immunotherapy response (IMvigor210).
  • Fibronectin 1 (FN1) was upregulated and promoted cell motility in BLCA.

Conclusions

  • RNA methylation-based risk model predicts BLCA prognosis, immune landscape, and immunotherapy efficacy.
  • FN1 is a key gene promoting bladder cancer cell migration.
  • This model offers insights for personalized BLCA treatment strategies.

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