{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T22:25:36Z","timestamp":1791325536855,"version":"4.3.1"},"reference-count":34,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81702780"],"award-info":[{"award-number":["81702780"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2021,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>N\u20106\u00a0methylation (m6A) pushes forward an immense influence on the occurrence and development of lung adenocarcinoma (LUAD). However, the methylation on non\u2010coding RNA in LUAD, especially long non\u2010coding RNA (lncRNA), has not been received sufficient attention.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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\u2010related 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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\u00a0lncRNAs: ARHGEF26\u2010AS1, COLCA1, CRNDE, DLGAP1\u2010AS2, FENDRR, LINC00968, TMPO\u2010AS1, TRG\u2010AS1, MGC32805, RPARP\u2010AS1, and TBX5\u2010AS1. M6A\u2010related 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>M6A\u2010related lncRNA was a potential prognostic and therapy target for lung adenocarcinoma.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcla.23951","type":"journal-article","created":{"date-parts":[[2021,9,25]],"date-time":"2021-09-25T00:10:07Z","timestamp":1632528607000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["N\u20106 methylation\u2010related lncRNA is potential signature in lung adenocarcinoma and influences tumor microenvironment"],"prefix":"10.1002","volume":"35","author":[{"given":"Jian","family":"Zheng","sequence":"first","affiliation":[{"name":"Department of Otolaryngology The First Affiliated Hospital of Zhengzhou University Henan 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