作者: Dong‑Yue Wen , Jia‑Cheng Huang , Jie‑Yu Wang , Wen‑Ya Pan , Jiang‑Hui Zeng
DOI: 10.3892/OL.2018.9523
关键词: Microarray 、 microRNA 、 KEGG 、 Cell cycle 、 Hepatocellular carcinoma 、 Biology 、 Genome 、 MiR-122 、 Gene 、 Cancer research
摘要: In order to determine the diagnostic efficacy of microRNA (miR)-122-5p and identify potential molecular signaling pathways underlying function miR-122-5p in hepatocellular carcinoma (HCC), expression profiles data collected from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) literature databases were analyzed, along with any associations between clinicopathological characteristics value HCC. intersection 12 online prediction differentially expressed genes TCGA GEO utilized select prospective target Ontology (GO), Kyoto Encyclopedia Genes Genomes (KEGG) protein-protein interaction network (PPI) analyses subsequently performed based on selected genes. average level was decreased HCC patients compared controls database (P<0.001), downregulation significantly associated tissues tumor vascular invasion metastasis (P=0.001), sex (P=0.006), virus infection status (P=0.001) tissue (compared serum; P<0.001) cases database. pooled sensitivity specificity for diagnose 0.60 [95% confidence interval (CI), 0.48-0.71] 0.81 (95% CI, 0.70-0.89), respectively. area under curve (AUC) 0.76 0.72-0.80), while Meta-DiSc 1.4, AUC (Q*=0.70). 0.57-0.62) 0.79 0.76-0.81), A total 198 overlapping as miR-122-5p, 7 defined hub PPI network. Cell division cycle 6 (CDC6), minichromosome maintenance complex component 4 (MCM4) MCM8, which serve pivotal functions occurrence development HCC, most significant regulation cell proliferation cellular adhesion biosynthesis amino acids highlighted GO KEGG pathway analyses. demonstrated value, worthy further attention. Therefore, may a suppressor by modulating genome replication.