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Dataset Information

Analysis of a Four-Component Competing Endogenous RNA Network Reveals Potential Biomarkers in Gastric Cancer: An Integrated Systems Biology and Experimental Investigation.


ABSTRACT:

Background

Gastric cancer (GC) is a common and deadly cancer worldwide. Molecular changes underlying the development of GC are not thoroughly understood. Therefore, we constructed and analyzed a novel four-component competing endogenous RNA (ceRNA) network to introduce plausible diagnostic and prognostic biomarkers in GC.

Materials and methods

Transcriptomics and circular RNA (circRNA) data were retrieved from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases, respectively. After batch effect correction, differential expression analysis, and interaction prediction, a ceRNA network including long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) was established. Enrichment analyses were performed, a

SUBMITTER: Salehi-Mazandarani S 

PROVIDER: S-EPMC10699254 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature