Area of research
Pulmonary and Respiratory Medicine · Cancer Research
Research interest
Research topics from publications: [Prognosis-related miRNA bioinformatics screening of lung adenocarcinoma and its clinical significance]; [Bioinformatics analysis of genes related to poor prognosis of human hepatocellular carcinoma and its clinical significance]. Representative work: OBJECTIVE: To investigate the prognosis-related miRNA histological features and clinical significance of lung adenocarcinoma. METHODS: Using The Cancer Genome Atlas (TCGA) data, the miRNA expression profile data of human lung adenocarcinoma were searched for differential analysis, and the prognosis-related miRNAs were screened by Cox risk regression model. The targeted miRNAs were predicted by mirwalk analysis platform, KEGG functional enrichment analysis, and finally, predict the function of prognosis-related miRNAs. RESULTS: <0.05, AUC=0.618). KEGG analysis showed that the above prognosis-related miRNA targeting regulatory genes were related with immune response pathways, miRNA and cancer OBJECTIVE: To screen genes associated with poor prognosis of hepatocellular carcinoma (HCC) and to explore the clinical significance of these genes. METHODS: The proper expression profile data of HCC was obtained from the Gene Expression Omnibus (GEO) database, and the differentially expressed genes (DEGs) were identified by differential expression analysis. The DAVID and String database were used for function enrichment analysis and to construct the protein-protein interaction (PPI) network respectively. The Cancer Genome Atlas (TCGA) database and the Cox Proportional Hazard Model were used for prognosis analysis of the DEGs. RESULTS: A eligible human HCC data set (GSE84402) met the require