Unknown

Dataset Information

0

M6A regulator-based methylation modification patterns characterized by distinct tumor microenvironment immune profiles in colon cancer.


ABSTRACT: Recent studies have highlighted the biological significance of RNA N6-methyladenosine (m6A) modification in tumorigenicity and progression. However, it remains unclear whether m6A modifications also have potential roles in immune regulation and tumor microenvironment (TME) formation. Methods: In this study, we curated 23 m6A regulators and performed consensus molecular subtyping with NMF algorithm to determine m6A modification patterns and the m6A-related gene signature in colon cancer (CC). The ssGSEA and CIBERSORT algorithms were employed to quantify the relative infiltration levels of various immune cell subsets. An PCA algorithm based m6Sig scoring scheme was used to evaluate the m6A modification patterns of individual tumors with an immune response. Results: Three distinct m6A modification patterns were identified among 1307 CC samples, which were also associated with different clinical outcomes and biological pathways. The TME characterization revealed that the identified m6A patterns were highly consistent with three known immune profiles: immune-inflamed, immune-excluded, and immune-desert, respectively. Based on the m6Sig score, which was extracted from the m6A-related signature genes, CC patients can be divided into high and low score subgroups. Patients with lower m6Sig score was characterized by prolonged survival time and enhanced immune infiltration. Further analysis indicated that lower m6Sig score also correlated with greater tumor mutation loads, PD-L1 expression, and higher mutation rates in SMGs (e.g., PIK3CA and SMAD4). In addition, patients with lower m6Sig scores showed a better immune responses and durable clinical benefits in three independent immunotherapy cohorts. Conclusions: This study highlights that m6A modification is significantly associated with TME diversity and complexity. Quantitatively evaluating the m6A modification patterns of individual tumors will strengthen our understanding of TME characteristics and promote more effective immunotherapy strategies.

SUBMITTER: Chong W 

PROVIDER: S-EPMC7797678 | BioStudies | 2021-01-01

REPOSITORIES: biostudies

Similar Datasets

2021-01-01 | S-EPMC7859102 | BioStudies
2020-01-01 | S-EPMC7066851 | BioStudies
2019-01-01 | S-EPMC6326163 | BioStudies
2020-01-01 | S-EPMC7746351 | BioStudies
2020-01-01 | S-EPMC7522342 | BioStudies
2020-01-01 | S-EPMC7784579 | BioStudies
2018-01-01 | S-EPMC6158259 | BioStudies
2020-01-01 | S-EPMC7755103 | BioStudies
2019-01-01 | S-EPMC6531299 | BioStudies
2019-01-01 | S-EPMC6441038 | BioStudies