Bioinformatics analysis of the circRNA-miRNA-mRNA network for non-small cell lung cancer.

ABSTRACT:

Objective

Non-small cell lung cancer (NSCLC) accounts for approximately 80% of all lung cancers, but its pathogenesis has not been fully elucidated. Therefore, it is valuable to explore the pathogenesis of NSCLC to improve diagnosis and identify novel treatment biomarkers.

Methods

Circular (circ)RNA, micro (mi)RNA, and gene expression datasets of NSCLC were analyzed to identify those that were differentially expressed between tumor and healthy tissues. Common genes were found and pathway enrichment analyses were performed. Survival analysis was used to identify hub genes, and their level of methylation and association with immune cell infiltration were analyzed. Finally, an NSCLC circRNA-miRNA-mRNA network was constructed.

Results

Eight miRNAs and 211 common genes wer

SUBMITTER: Cai X 

PROVIDER: S-EPMC7294496 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature