ABSTRACT
@#[Abstract] Objective: To detect the expression of CD39 in head and neck squamous cell carcinoma (HNSCC) tisseus, and to analyze its correlation with patients’clinicopathological features and its prognostic significance. Methods: Tissue specimens and case data of 85 patients with HNSCC underwent surgery at Cancer Hospital of Tianjin from May 2012 to December 2013 were collected for this study. Gene chips were obtained from Oncomine database, and HNSCC cell lines SCC15, UM1, and Cal25 were selected for this study. Online analysis was performed to compare the differential expression of CD39 in buccal mucosa (BM) tissues and HNSCC tissues, Western blotting and Immunohistochemistry (IHC) were used to detect the protein expression of CD39 in HNSCC tissues. Spearman’ s correlation analysis was used to study the correlation between the expressions of CD39 and clinicopathological features of HNSCC patients. Both Kaplan-Meier curve analysis and Log rank test were used to analyze the association between the expression of CD39 in HNSCC tissues and the survival of patients, and Cox risk proportional regression model was used to evaluate the relationship between CD39 expression and the risk of relapse. Results: The transcription level of CD39 was obviously up-regulated in HNSCC tissues than in BM tissues (P<0.01), and CD39 expression was detected in HNSCC cell lines SCC15, UM1 and Cal25. Dexamethasone (DXM) could enhance the expression of CD39 in UM1 cells in dose-dependent manner. CD39 was highly expressed in 53 (62.4%) HNSCC patients, which was positively correlated with preoperative chemotherapy (r=0.234, P<0.05). The recurrence-free survival (RFS) of patients with high CD39 expression was significantly shortened (P<0.05), and high CD39 expression was an independent relapse risk factor (HR=2.328, 95%CI=1.091-4.967; P<0.05) for patients with HNSCC. Conclusion: CD39 is DXM-inducively and constitutively expressed in HNSCC. And over-expression of CD39 is an independent predictor of poor prognosis in HNSCC patients, indicating its important role in the progression of HNSCC.
ABSTRACT
@# Objective: To identify the differentially expressed genes (DEGs) between hepatocellular carcinoma (HCC) tissues and normal liver tissues by bioinformatic methods, and to explore the intrinsic mechanism of these candidate genes involving in the occurrence and development of HCC from transcriptome level as well as the clinical significance of their associations with the prognosis of HCC patients. Methods: Gene expression profiles of GSE45267, GSE64041, GSE84402 and TCGA were downloaded from GEO (Gene Expression Omnibus) and TCGA(The Cancer GenomeAtlas), respectively. R software and Bioconductor packages were used to identify the DEGs between HCC tissues and para-cancer tissues, and then Gene Ontology (GO) Enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Protein-Protein Interaction (PPI) network analysis and survival analysis were performed. Results: Forty-six up-regulated genes and 154 down-regulated genes were screened out,and GO enrichment analysis showed that these DEGs were mainly related to cell division, proliferation, cycle regulation, oxidation-reduction process and certain metabolic pathways. KEGG pathway analysis revealed that DEGs were mainly involved in tryptophan metabolism, retinol metabolism and other metabolic pathways as well as p53 pathway. Over-expression of a panel of up-regulated genes (CCNA2, CDK1, DLGAP5, KIF20A, KPNA2 and MELK) was shown to be significantly negatively correlated with the prognosis of HCC patients in the TCGA dataset (all P<0.01). Conclusion: A set of up-regulated hub genes that are negatively correlated with prognosis will provide potential guiding value for the clinical research on the diagnosis and treatment of HCC.