Bioinformatics screening the novel and promising targets of curcumin in hepatocellular carcinoma chemotherapy and prognosis.

BACKGROUND: The aim of present study was to screen the novel and promising targets of curcumin in hepatocellular carcinoma diagnosis and chemotherapy. METHODS: Potential targets of curcumin were screened from SwissTargetPrediction, ParmMapper and drugbank databases. Potential aberrant genes of hepatocellular carcinoma were screened from Genecards databases. Fifty paired hepatocellular carcinoma patients' gene expression profiles from the GEO database were used to test potential targets of curcumin. Besides, GO analysis, KEGG pathway enrichment analysis and PPI network construction were used to explore the underlying mechanism of candidate hub genes. ROC analysis and Kaplan-Meier analysis were used to evaluate the diagnostic and prognostic value of candidate hub genes, respectively. Real-time PCR was used to verify the results of bioinformatics analysis. RESULTS: Bioinformatics analysis results suggested that AURKA, CDK1, CCNB1, TOP2A, CYP2B6, CYP2C9, and CYP3A4 genes served as candidate hub genes. AURKA, CDK1, CCNB1 and TOP2A were significantly upregulated and correlated with poor prognosis in hepatocellular carcinoma, AUC values of which were 95.7, 96.9, 98.1 and 96.1% respectively. There was not significant correlation between the expression of CYP2B6 and prognosis of hepatocellular carcinoma, while CYP2C9 and CYP3A4 genes were significantly downregulated and correlated with poor prognosis in hepatocellular carcinoma. AUC values of CYP2B6, CYP2C9, and CYP3A4 were 96.0, 97.0 and 88.0% respectively. In vitro, we further confirmed that curcumin significantly downregulated the expression of AURKA, CDK1, and TOP2A genes, while significantly upregulated the expression of CYP2B6, CYP2C9, and CYP3A4 genes. CONCLUSIONS: Our results provided a novel panel of AURKA, CDK1, TOP2A, CYP2C9, and CYP3A4 candidate genes for curcumin related chemotherapy of hepatocellular carcinoma.

Survivin status affects prognosis and chemosensitivity in epithelial ovarian cancer.

OBJECTIVE: The objective of this study was to explore the clinical significance of survivin expression in epithelial ovarian cancer (EOC) and the effect of survivin small hairpin RNA (shRNA) on survivin expression, apoptosis, and chemosensitivity in the human ovarian cancer cell line OVCAR3. METHODS: A retrospective review of 90 consecutive EOC patients with a median follow-up time of 51 months was conducted. Survivin expression was examined by immunohistochemistry. OVCAR3 cells were transfected in vitro with survivin shRNA. Survivin mRNA expression levels were detected using reverse transcription-polymerase chain reaction. Flow cytometry was applied to determine survivin protein expression levels and cell apoptotic rates. The MTT method was used to examine the effects of survivin shRNA on chemosensitivity in OVCAR3 cells. RESULTS: Positive cytoplasmic expression of survivin was associated with advanced International Federation of Gynecology and Obstetrics (FIGO) stage, nonmucinous type, high grade, and recurrence. Positive survivin expression was also associated with platinum resistance (r = 0.306, P = 0.003). Statistical results indicated that FIGO stage (hazard rate = 1.649, P = 0.047) and cytoplasmic expression of survivin (hazard rate = 1.734, P = 0.010) were independent prognostic factors. Survivin mRNA and protein levels were lower in OVCAR3S (ovarian cancer cells transfected with a survivin recombinant vector) cells at 24 hours after transfection as compared with controls. The flow cytometric analysis revealed that survivin shRNA induced accumulation of cells in the G0/Gl phase, with a decrease in G2/M phase cells following 24 hours of culture as compared with a nontransfected group (P < 0.01). Furthermore, survivin shRNA increased the sensitivity of OVCAR3 cells to paclitaxel 15-fold (P < 0.05), whereas it had no significant effect on cisplatin (P > 0.05). CONCLUSIONS: In addition to FIGO stage, cytoplasmic survivin protein expression is an independent molecular marker for predicting EOC prognosis. Sequence-specific shRNA targeting survivin can effectively suppress survivin expression, enhance apoptosis, and increase the sensitivity of ovarian cancer cells to paclitaxel but not to cisplatin.