5mC regulator-mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide precision

Jiao Hu1, Belaydi Othmane1, Anze Yu1,2

  • 1Department of Urology, Xiangya Hospital, Central South University, Changsha, 410008, China.

BMC Medicine
|November 27, 2021
PubMed
Abstract

Insights

A new 5-methylcytosine (5mC) regulator-based system and 5mC score for bladder cancer (BLCA) accurately predict subtypes, prognosis, and treatment response. This offers new insights for precision medicine in BLCA and potentially other cancers.

Area of Science:

  • Oncology
  • Epigenetics
  • Bioinformatics

Background:

  • Understanding tumor microenvironment (TME) heterogeneity is crucial for bladder cancer (BLCA) precision medicine.
  • Classical molecular subtypes offer insights but have clinical limitations.

Purpose of the Study:

  • To develop a novel 5-methylcytosine (5mC) regulator-mediated molecular subtype system for BLCA.
  • To create a quantitative 5mC score for predicting clinical outcomes and therapeutic strategies.

Main Methods:

  • Integrated multiple BLCA cohorts for analysis.
  • Employed unsupervised clustering to identify 5mC subtypes.
  • Utilized principal component analysis to derive the 5mC score.
  • Correlated 5mC clusters/score with molecular subtypes, immunophenotypes, prognosis, and treatment response.
  • Conducted pancancer analyses of the 5mC score.

Main Results:

  • Identified two distinct 5mC clusters (cluster 1 and cluster 2).
  • The 5mC score accurately predicted BLCA molecular subtypes, immunophenotypes, and prognosis.
  • 5mC cluster 1 (high 5mC score) associated with luminal subtype, noninflamed phenotype, better prognosis, and specific treatment sensitivities (antiangiogenic, targeted therapies) while predicting lower response to immunotherapy and neoadjuvant chemotherapy/radiotherapy.

Conclusions:

  • The novel 5mC regulator-based subtype system provides valuable insights into BLCA biology and precision medicine.
  • The 5mC score shows potential as a generalizable predictor of immunotherapy response and prognosis across pancancer types.