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Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer by Jin, Xiang; Guan, Yinghui; Zhang, Zhen; Wang, Hongyue is a Medicine article available to read on EtoBox.

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## Background The aim of this study was to gain further investigation of non-small cell lung cancer (NSCLC) tumorigenesis and identify biomarkers for clinical management of patients through comprehensive bioinformatics analysis. ## Methods miRNA and mRNA microarray datasets were downloaded from GEO (Gene Expression Omnibus) database under the accession number GSE102286 and GSE101929, respectively. Genes and miRNAs with differential expression were identified in NSCLC samples compared with controls, respectively. The interaction between differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs) was predicted, followed by functional enrichment analysis, and construction of miRNA-gene regulatory network, protein-protein interaction (PPI) network, and competing endogenous RNA (ceRNA) network. Through comprehensive bioinformatics analysis, we anticipate to find novel therapeutic targets and biomarkers for NSCLC. ## Results A total of 123 DEmiRs (5 up- and 118 down-regulated miRNAs) and 924 DEGs (309 up- and 615 down-regulated genes) were identified. These genes and miRNAs were significantly involved in different pathways including adherens junction, relaxin signa

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Author

Jin, Xiang; Guan, Yinghui; Zhang, Zhen; Wang, Hongyue

Publisher

BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, [2001]-; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1471-2407)

Published

2020

Language

EN

Field

Medicine (Health Sciences)