Integrated Analyses of m(6)A Regulator-Mediated Methylation Modification Patterns and Tumor Microenvironment Infiltration Characterization in Pan-Cancer

The invasion of immune cells in the tumor microenvironment (TME) is closely related to cancer development. Studies have demonstrated that N6-methyladenosine (m(6)A) can affect the invasion of immune cells in TME as well as cancer development. We comprehensively analyzed the RNA-seq data of 16 different cancer types based on 20 m(6)A regulators and identified two distinct m(6)A modification patterns, which were closely associated with TME cell infiltration and overall patient survival. Then, we used principal component analysis (PCA) to construct m6Ascore based on the expression of m(6)A-related prognostic genes, which can successfully predict patient survival. The low-m6Ascore subtype is characterized by more immune cell infiltration, good prognosis and lower TNM stages, while the high-m6Ascore subtype is characterized by low immune infiltration, stromal activation, and poor prognosis. m6Ascore was also closely associated with immunotherapy response and was significantly higher in complete response/partial response (CR/PR) patients than in stable disease/progressive disease (SD/PD) patients in both immunotherapy cohorts. Therefore, our study indicates that m(6)A modification plays an important role in the prognosis of pan-cancer and the formation of complex TME in pan-cancer. Our research helps to improve the cognition of m(6)A modifications at pan-cancer levels and identify more effective strategies for immunotherapy.

Automated summary

The study shows that m(6)A modification plays a significant role in the prognosis of pan-cancer and the formation of complex tumor microenvironment (TME). Through comprehensive analysis of RNA-seq data of different cancer types, two distinct m(6)A modification patterns were identified, which were closely associated with TME cell infiltration and overall patient survival. The study also presents the use of m6Ascore, based on the expression of m(6)A-related prognostic genes, as a successful predictor of patient survival.