Identification of key N6-Methyladenosine-Related lncRNAs in Colon Adenocarcinoma using Bioinformatics Analysis
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Abstract
Purpose: The purpose of this study was to investigate the role of m 6 A-related lncRNAs in colon adenocarcinoma (COAD) and determine their prognostic value. Material: and methods: Gene expression and clinicopathological data were obtained from The Cancer Genome Atlas database. Correlation and univariate Cox regression analysis were conducted to identify m 6 A-related prognostic lncRNAs. A prognostic signature was established via least absolute shrinkage and selection operator (LASSO) Cox regression analyses. The prognostic value of risk scores was evaluated using the Kaplan-Meier method, receiver operating characteristic curves, and univariate and multivariate regression analyses. Whether the prognostic model could serve as a prognostic indicator for overall survival (OS) in subgroups of patients with different clinical characteristics were explored. Next, We established a competing endogenous RNA network. Gene Set Enrichment Analysis, Kyoto Encyclopedia of Genes and Genomes pathway, and Gene Ontology analysis were performed for biological functional analysis. Results: : 36 lncRNAs that were highly correlated with OS of patients were identified. A prognostic signature comprising 11 m 6 A-related lncRNAs was constructed, which had significant value in predicting the OS of patients . Univariate and Multivariate Cox regression analyses suggested that the risk score was an independent prognostic factor. This m 6 A-related lncRNA prognostic model could serve as a prognostic indicator for OS in subgroups of patients with different clinical characteristics. Biological processes and pathways associated with cancer were identified. Conclusion: We revealed the role and prognostic value of m 6 A-related lncRNAs in COAD. Our finding refreshed the understanding of m 6 A-related lncRNAs and provided novel insights to identify predictive biomarkers and develop targeted therapy for COAD.
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