Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
Chinese Journal of Applied Physiology ; (6): 90-96, 2019.
Article in Chinese | WPRIM | ID: wpr-776553

ABSTRACT

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 requirements. A total of 1141 differentially expressed genes were identified, including 720 up-regulated and 421 down-regulated genes. The results of function enrichment analysis and PPI network performed that CDK1、CDC6、CCNA2、CHEK1、CENPE 、PIK3R1、RACGAP1、BIRC5、KIF11 and CYP2B6 were prognosis key genes. And the prognosis analysis showed that the expressions of CDC6、PIK3R1、KIF11 and RACGAP1 were increased, and the expression of CENPE was decreased, which was closely related to prognosis of HCC.@*CONCLUSION@#CDC6、CENPE、PIK3R1、KIF11 and RACGAP1 may be closely related to poor prognosis of HCC, and can be used as molecular biomarkers for future research of HCC prognosis.


Subject(s)
Humans , Carcinoma, Hepatocellular , Diagnosis , Genetics , Checkpoint Kinase 1 , Computational Biology , Down-Regulation , Gene Expression Profiling , Genes, Neoplasm , Liver Neoplasms , Diagnosis , Genetics , Prognosis , Up-Regulation
2.
Chinese Journal of Applied Physiology ; (6): 530-535, 2018.
Article in Chinese | WPRIM | ID: wpr-776578

ABSTRACT

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@#A total of 46 differential miRNAs in lung adenocarcinoma were screened, including 19 up-regulated and 27 down-regulated. Six prognostic-related miRNAs were screened by Cox survival analysis, namely hsa-mir-21, hsa-mir-142, hsa-mir-200a high expression, hsa-mir-101, hsa-let-7c, hsa-mir-378e low expression, hsa-mir-21 and hsa-mir-378e were associated with poor prognosis in patients with lung adenocarcinoma, and the survival time was shortened significantly (<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 pathways, metabolic pathways and so on.@*CONCLUSIONS@#Hsa-mir-21 and hsa-mir-378e are associated with poor prognosis of lung adenocarcinoma, and may be used as a molecular marker for prognosis of lung adenocarcinoma after further clinical verification.


Subject(s)
Humans , Adenocarcinoma of Lung , Biomarkers, Tumor , Computational Biology , Gene Expression Regulation, Neoplastic , Lung Neoplasms , MicroRNAs , Prognosis
SELECTION OF CITATIONS
SEARCH DETAIL