A novel scoring model based on RNA modification "writers" can predict the prognosis and guide immunotherapy in gastric cancer

Funct Integr Genomics. 2023 May 16;23(2):162. doi: 10.1007/s10142-023-01098-w.

Abstract

Although extensive research has been carried out on the epigenetic regulation of single RNA modifications in gastric cancer, little is known regarding the crosstalk of four major RNA adenosine modifications, namely, m6A, m1A, alternative polyadenylation and adenosine-to-inosine RNA editing. By analyzing 26 RNA modification "writers" in 1750 gastric cancer samples, we creatively constructed a scoring model called the "Writers" of the RNA Modification Score (WRM_Score), which was able to quantify the RNA modification subtypes of individual patients. In addition, we explored the relationship between WRM_Score and transcriptional and posttranscriptional regulation, tumor microenvironment, clinical features and molecular subtypes. We constructed an RNA modification scoring model including two different subgroups: WRM_Score_low and WRM_Score_high. The former was associated with survival benefit and good efficacy of immune checkpoint inhibitors (ICIs) due to gene repair and immune activation, while the latter was related to poor prognosis and bad efficacy of ICIs because of stromal activation and immunosuppression. The WRM score based on immune and molecular characteristics of the RNA modification pattern is a reliable predictor of the prognosis of gastric cancer and the therapeutic efficacy of immune checkpoint inhibitors in gastric cancer.

Keywords: Bioinformatics; Gastric cancer; RNA modification; Tumor microenvironment; “Writer”.

MeSH terms

  • Adenosine / genetics
  • Epigenesis, Genetic
  • Humans
  • Immune Checkpoint Inhibitors
  • Immunotherapy
  • RNA / genetics
  • Stomach Neoplasms* / genetics
  • Stomach Neoplasms* / therapy
  • Tumor Microenvironment / genetics

Substances

  • Immune Checkpoint Inhibitors
  • Adenosine
  • RNA