Comprehensive Analysis of the Relationship between m6A Methylation Patterns and Immune Microenvironment in Lung Adenocarcinoma.
10.3779/j.issn.1009-3419.2022.103.02
- Author:
Ji KE
1
;
Jian CUI
1
;
Xingguo YANG
1
;
Xin DU
1
;
Bobo MA
2
;
Lei YU
1
Author Information
1. Department of Thoracic Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
2. School of Rehabilitation Medicine, Capital Medical University, China Rehabilitation Research Center, Beijing 100068, China.
- Publication Type:Journal Article
- Keywords:
Immune microenvironment;
LRPPRC;
Lung adenocarcinoma;
m6A modification
- MeSH:
Adenocarcinoma/genetics*;
Adenocarcinoma of Lung/pathology*;
Adenosine/metabolism*;
Gene Expression Regulation, Neoplastic;
Humans;
Lung Neoplasms/pathology*;
Methylation;
Tumor Microenvironment/genetics*
- From:
Chinese Journal of Lung Cancer
2022;25(5):311-322
- CountryChina
- Language:Chinese
-
Abstract:
BACKGROUND:m6A RNA methylation modification plays an important role in the occurrence and progression of lung cancer and regulates tumor immunity. Current studies mostly focus on the differential expression of some specific m6A effectors and infiltrating immune cell. m6A methylation modification is the result of mutual adjustment and balance between effectors, and changes in the expression of one or two effectors are far from enough to reflect the panorama of m6A methylation. The role of m6A in the immune microenvironment of lung adenocarcinoma (LUAD) is still poorly understood. The aim of this study is to investigate the effect of different m6A modification patterns in immune microenvironment of LUAD.
METHODS:LUAD data was obtained from The Cancer Genome Atlas (TCGA), University of California Santa Cruz Xena (UCSC Xena) and Gene Expression Omnibus (GEO) databases. Gene mutation, differential expression and survival analysis were performed for 24 m6A effectors. The m6A modification pattern was constructed by unsupervised clustering method, and the m6A clusters survival analysis, gene set variation analysis, immune score and immune cell infiltration analysis were performed. The association between LRPPRC protein expression levels and infiltration of CD8+ cytotoxic T lymphocytes and CD68+ macrophages in the tumor microenvironment was validated by immunohistochemistry in LUAD tissue microarray with 68 cases.
RESULTS:The mutations of m6A effector were found in 150 of 567 LUAD cases with a frequency of 26.46%. 6 readers and 3 writers were significantly up regulated in LUAD tissues compared with normal tissues. IGF2BP1 and HNRNPC are the independent risk factors for prognosis of LUAD. Abundant cross-talks among writers, erasers and readers were demonstrated. Three m6A modification patterns with different immune cell infiltration characteristics and clinical prognosis were established. Among m6A effectors, LRPPRC was found to be inversely associated with the infiltration of CD8+ cytotoxic T lymphocytes and CD68+ macrophages, and was validated in 68 LUAD tissues.
CONCLUSIONS:m6A modification patterns play non-negligible roles in regulating the immune microenvironment. LRPPRC has potential to be a new biomarker for checkpoint inhibitor immunotherapy.
