Identification of novel chemotherapeutic strategies for metastatic uveal melanoma.

Melanoma of the uveal tract accounts for approximately 5% of all melanomas and represents the most common primary intraocular malignancy. Despite improvements in diagnosis and more effective local therapies for primary cancer, the rate of metastatic death has not changed in the past forty years. In the present study, we made use of bioinformatics to analyze the data obtained from three public available microarray datasets on uveal melanoma in an attempt to identify novel putative chemotherapeutic options for the liver metastatic disease. We have first carried out a meta-analysis of publicly available whole-genome datasets, that included data from 132 patients, comparing metastatic vs. non metastatic uveal melanomas, in order to identify the most relevant genes characterizing the spreading of tumor to the liver. Subsequently, the L1000CDS2 web-based utility was used to predict small molecules and drugs targeting the metastatic uveal melanoma gene signature. The most promising drugs were found to be Cinnarizine, an anti-histaminic drug used for motion sickness, Digitoxigenin, a precursor of cardiac glycosides, and Clofazimine, a fat-soluble iminophenazine used in leprosy. In vitro and in vivo validation studies will be needed to confirm the efficacy of these molecules for the prevention and treatment of metastatic uveal melanoma.

PARK2 polymorphisms predict disease progression in patients infected with hepatitis C virus.

 Background. The protein encoded by PARK2 gene is a component of the ubiquitin-proteasome system that mediates targeting of proteins for the degradation pathway. Genetic variations at PARK2 gene were linked to various diseases including leprosy, typhoid and cancer. The present study investigated the association of single nucleotide polymorphisms (SNPs) in the PARK2 gene with the development of hepatitis C virus (HCV) infection and its progression to severe liver diseases. MATERIAL AND METHODS: A total of 800 subjects, including 400 normal healthy subjects and 400 HCV-infected patients, were analyzed in this study. The patients were classified as chronic HCV patients (group I), patients with cirrhosis (group II) and patients with hepatocellular carcinoma (HCC) in the context of cirrhosis (group III). DNA was extracted and was genotyped for the SNPs rs10945859, rs2803085, rs2276201 and rs1931223. RESULTS: Among these SNPs, CT genotype of rs10945859 was found to have a significant association towards the clinical progression of chronic HCV infection to cirrhosis alone (OR = 1.850; 95% C. I. 1.115-3.069; p = 0.016) or cirrhosis and HCC (OR = 1.768; 95% C. I. 1.090-2.867; p value = 0.020). CONCLUSION: SNP rs10945859 in the PARK2 gene could prove useful in predicting the clinical outcome in HCV-infected patients.