A Novel N7-Methylguanosine (M7g) Methylation-Associated Mirna Signature for Prognostic Value in Patient with Carcinoma of Colon

Abstract

Chongyang Wang, Shouji Liu

Background M7G methylation-associated genes were selected as the main research perspectives in this study, establishing a novel m7G methylation-associated miRNA risk signature for prognostic value in-patient with carcinoma of colon.

Methods We identified two genes that are m7G methylation-associated and have been validated by searching in the PubMed database. The m7G methylation-associated miRNAs were screened via estimating the differentially expressed of miRNAs in 457 carcinoma of colon patient samples and 8 matched samples from a database named The Cancer Genome Atlas (TCGA). Selecting Single-factor Cox analyses as well as multi-factor Cox analyses constructed the risk signature of 12 m7G methylation-associated miRNAs. Nomograms was adopted to predict the potential impact of m7G methylation-associated miRNAs on occurrence, development. The functions of DEGs that deserving to be noticed were classified and analyzed by functional enrichment analysis. Disease ontology analysis was used to explore the potential connection various diseases and carcinoma of colon. The outcome of associated analysis about immunocyte or immunological functioning revealed that what role does immunocyte or immunological functioning play in the development of carcinoma of colon. Finally, the relationship between high or low expression of significantly DEGs and immune cells and immune function was analyzed.

Results The results of nomogram analysis were as follows that the risk signature might predict the prognosis and the overall cumulative probability of survival (1-,3-,5-year) effectively about patients with carcinoma of colon. Through the analysis of Kaplan-Meier curve outcomes, we can draw a conclusion that depressed expressed of hsa-miR-21-3p might be significantly relevant with decreased survival of patients. What the analyses of Gene ontology (GO) , Kyoto Encyclopedia of Genes and Genomes (KEGG) and Disease ontology(DO),taking advantage of the common DEGs about risk score and immune score, demonstrated that these common DEGs play a partial role in the occurrence and development of tumors. Through disease ontology analysis, we found that eating disorder might be associated with carcinoma of colon.

Conclusions M7G methylation-associated miRNAs were related to the prognosis of patients with carcinoma of colon. A risk signature established based on these miRNAs could effectively predict the survival rate of later period in patients with carcinoma of colon .According to the displayed outcome from Our research that m7G methylation-associated miRNA regulators can serve as reliable prognostic biomarkers of carcinoma of colon, which might Greater probably be applied as potential targets of therapeutic strategies.

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