Open AccessN‐6 methylation‐related lncRNA is potential signature in lung adenocarcinoma and influences tumor microenvironment
Author(s) -
Zheng Jian,
Zhao Zhuochen,
Wan Junhu,
Guo Manman,
Wang Yangxia,
Yang Zhengwu,
Li Zhuofang,
Ming Liang,
Qin Zhaobing
Publication year - 2021
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.23951
Subject(s) - methylation , signature (topology) , dna methylation , adenocarcinoma , cancer research , tumor microenvironment , lung , computational biology , biology , medicine , tumor cells , cancer , genetics , gene expression , gene , geometry , mathematics
Background N‐6 methylation (m6A) pushes forward an immense influence on the occurrence and development of lung adenocarcinoma (LUAD). However, the methylation on non‐coding RNA in LUAD, especially long non‐coding RNA (lncRNA), has not been received sufficient attention. Methods Spearman correlation analysis was used to screen lncRNA correlated with m6A regulators expression from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories, respectively. Then, the least absolute shrinkage and selection operator (LASSO) was applied to build a risk signature consisting m6A‐related lncRNA. Univariate and multivariate independent prognostic analysis were applied to evaluate the performance of signature in predicting patients' survival. Next, we applied Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) to conduct pathway enrichment analysis of 3344 different expression genes (DEGs). Finally, we set up a competing endogenous RNAs (ceRNA) network to this lncRNA. Results A total of 85 common lncRNAs were selected to acquire the components related to prognosis. The final risk signature established by LASSO regression contained 11 lncRNAs: ARHGEF26‐AS1, COLCA1, CRNDE, DLGAP1‐AS2, FENDRR, LINC00968, TMPO‐AS1, TRG‐AS1, MGC32805, RPARP‐AS1, and TBX5‐AS1. M6A‐related lncRNA risk score could predict the prognostic of LUAD and was significantly associated with clinical pathological. And in the evaluation of lung adenocarcinoma tumor microenvironment (TME) by using ESTIMATE algorithm, we found a statistically significant correlation between risk score and stromal/immune cells. Conclusion M6A‐related lncRNA was a potential prognostic and therapy target for lung adenocarcinoma.