m7G regulator-mediated molecular subtypes and tumor microenvironment in kidney renal clear cell carcinoma

Mei Chen1, Zhenyu Nie1, Yuanhui Gao1

  • 1Central Laboratory, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.

Frontiers in Pharmacology
|September 23, 2022
PubMed

Insights

This study identifies novel molecular subtypes in kidney renal clear cell carcinoma (KIRC) based on m7G RNA methylation regulators. The developed m7G score predicts patient prognosis and guides personalized treatment strategies for KIRC.

Area of Science:

  • Oncology
  • Molecular Biology
  • Immunology

Background:

  • RNA methylation, specifically m7G modification, is crucial for immune regulation and an active research area.
  • The role of m7G RNA methylation in the tumor immune microenvironment of kidney renal clear cell carcinoma (KIRC) remains largely unexplored.
  • Understanding these mechanisms is vital for advancing KIRC treatment strategies.

Purpose of the Study:

  • To investigate the role of m7G RNA methylation regulators in KIRC.
  • To identify novel m7G regulator-mediated molecular subtypes within KIRC.
  • To develop and validate an m7G score for predicting patient prognosis and guiding personalized therapy.

Main Methods:

  • Analysis of expression profiles for 29 m7G regulators in KIRC datasets.
  • Integration of multiple datasets to define m7G-mediated molecular subtypes and develop the m7G score.
  • Evaluation of tumor immune microenvironments, immune cell infiltration, and drug sensitivity across subtypes.
  • Validation of the m7G score's predictive accuracy using independent KIRC datasets (GSE40912, E-MTAB-1980).
  • Experimental validation of key genes (WDR4) using qRT-PCR and cell line studies (proliferation, migration, invasion, drug sensitivity).

Main Results:

  • Three distinct m7G clusters were identified, with Cluster C showing higher m7G regulator expression, immune activation, low tumor purity, and good prognosis.
  • Cluster B was associated with drug metabolism, high tumor purity, poor survival, and a high m7G score.
  • The m7G score demonstrated high accuracy in predicting KIRC patient prognosis and identified patient subgroups sensitive to specific drugs (rapamycin, gefitinib, sunitinib, vinblastine).
  • Knockdown of WDR4 inhibited KIRC cell proliferation, migration, and invasion, while increasing sensitivity to sorafenib and sunitinib.

Conclusions:

  • A novel molecular subtype associated with m7G modification in KIRC was identified, revealing distinct immune cell infiltration characteristics.
  • The developed m7G score serves as a robust predictor of prognosis for KIRC patients.
  • This research provides a foundation for personalized treatment approaches in KIRC based on m7G modification status.