Bee venom and its active component Melittin synergistically potentiate the anticancer effect of Sorafenib against HepG2 cells.

There are current attempts to find a safe substitute or adjuvant for Sorafenib (Sorf), the standard treatment for advanced hepatocellular carcinoma (HCC), as it triggers very harsh side effects and drug-resistance. The therapeutic properties of Bee Venom (BV) and its active component, Melittin (Mel), make them suitable candidates as potential anti-cancer agents per-se or as adjuvants for cancer chemotherapy. Hence, this study aimed to evaluate the combining effect of BV and Mel with Sorf on HepG2 cells and to investigate their molecular mechanisms of action. Docking between Mel and different tumor-markers was performed. The cytotoxicity of BV, Mel and Sorf on HepG2 and THLE-2 cells was conducted. Combinations of BV/Sorf and Mel/Sorf were performed in non-constant ratios on HepG2. Expression of major cancer-related genes and oxidative stress status was evaluated and the cell cycle was analyzed. The computational analysis showed that Mel can bind to and inhibit XIAP, Bcl2, MDM2, CDK2 and MMP12. Single treatments of BV, Mel and Sorf on HepG2 showed lower IC50than on THLE-2. All combinations revealed a synergistic effect at a combination index (CI) < 1. Significant upregulation (p < 0.05) of p53, Bax, Cas3, Cas7 and PTEN and significant downregulation (p < 0.05) of Bcl-2, Cyclin-D1, Rac1, Nf-κB, HIF-1a, VEGF and MMP9 were observed. The oxidative stress markers including MDA, SOD, CAT and GPx showed insignificant changes, while the cell cycle was arrested at G2/M phase. In conclusion, BV and Mel have a synergistic anticancer effect with Sorf on HepG2 that may represent a new enhancing strategy for HCC treatment.

Development of a novel panel based on micro-RNAs (21, 29a, 200 and 335) and alpha-fetoprotein as diagnostic biomarkers for hepatocellular carcinoma associated with hepatitis C infection.

BACKGROUND AND STUDY AIMS: MicroRNAs (miRNAs) play key roles in cancer biology; they are used as potential tools in cancer diagnosis. This study investigated the microRNA expression profile of patients with hepatocellular carcinoma (HCC). PATIENTS AND METHODS: Serum microRNA expression profiles (miRNA-29a, miRNA-200, miRNA-335 and miRNA-21) were analysed in 137 patients with HCC and liver cirrhosis and 49 healthy subjects (used as negative controls) using real-time quantitative reverse transcription polymerase chain reaction. Alpha-fetoprotein (AFP), as a routine tumour marker, was also assessed using enzyme-linked immunosorbent assay. RESULTS: The expression levels of miRNA-21, miRNA-335 and miRNA-200 were significantly up-regulated, whereas those of miRNA-29a were remarkably down-regulated in patients with HCC compared with those in healthy subjects. miRNA-200 had the most elevated area under the receiver operating characteristic curve (AUC) among single miRNAs used to predict HCC occurrence (AUC = 0.72). The highest discriminatory power was recorded using a panel based on the combination of four miRNAs, miRNA-200, miRNA-29a, miRNA-21 and miRNA-355, and AFP levels (AUC = 0.92). The four-miRNA panel combined with AFP levels exhibited high accuracy in predicting HCC with small tumour sizes of <2 cm (AUC = 0.90) and ≥2 cm (AUC = 0.93). The combination of the four-miRNA panel and AFP resulted in an AUC value of 0.83 for single lesions, which was lesser than that recorded for ≥2 lesions (AUC = 0.94, 0.95, respectively). CONCLUSION: The combination of the four-miRNA panel and AFP levels can be used as a sensitive and specific biomarker for HCC.