Ontology highlight
ABSTRACT: Background
Increasing studies have indicated that noncoding RNA (ncRNA)-mediated competing endogenous RNA (ceRNA) network serves as a significant role in cancer progression, but the underlying regulatory mechanisms of which in gastric cancer (GC) remain largely unclear.Methods
Based on Gene Expression Omnibus and The Cancer Genome Atlas datasets, potential biomarkers for GC were screened and validated by machine learning. Then, upstream regulatory ncRNA of potential biomarkers was identified to construct a novel ceRNA network in GC through means of stepwise reverse prediction and validation. Ultimately, tumor immune cell infiltration analysis was performed based on the EPIC algorithm.Results
A total of 188 differentially expressed genes (DEGs) were screened, and thr
SUBMITTER: Li J
PROVIDER: S-EPMC9472414 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature