Influence of HOTAIR rs920778 and rs12826786 genetic variants on prostate cancer risk and progression-free survival

Aim: Evaluate the impact of the single nucleotide polymorphisms rs920778 and rs12826786 in the long noncoding RNA HOTAIR in the susceptibility and prognosis of prostate cancer (PCa) patients. Patients & methods: HOTAIR single nucleotide polymorphisms were genotyped by restriction fragment length polymorphism in 151 PCa cases and 180 cancer-free controls. Odds ratio, 95% CIs and prognostic significance were calculated. Results: Our data showed no statistically significant associations between HOTAIR polymorphic variants in rs920778 and rs12826786 and PCa susceptibility. However, the CC genotype in rs12826786 was significantly associated with shorter biochemical recurrence-free survival in pT3-stage PCa patients. Conclusion: Our results indicate that HOTAIR rs12826786 CC genotype may be an independent prognostic biomarker in a particular subset of PCa tumors.Fundação para a Ciência e Tecnologia (IF/00601/2012 to BM Costa; SFRH/BD/52287/2013 to AI Oliveira; SFRH/BD/88220/2012 to AX Magalhaes), Fundação Calouste Gulbenkian (BM Costa), Liga Portuguesa Contra o Cancro (BM Costa) and Inter-University Doctoral Programme in Ageing and Chronic Disease (PhDOC; to AI Oliveira and AX Magalhaes). Project co-financed by Programa Operacional Regional do Norte (ON.2-O Novo Norte), Quadro de Referencia Estratégico Nacional (QREN), Fundo Europeu de Desenvolvimento Regional (FEDER) and a grant (74-CI-IPOP) from Research Center of Portuguese Oncology Institute of Porto (C Jeronimo).info:eu-repo/semantics/publishedVersio

Translational selection on SHH genes

Codon usage bias has been observed in various organisms. In this study, the correlation between SHH genes expression in some tissues and codon usage features was analyzed by bioinformatics. We found that translational selection may act on compositional features of this set of genes

A Theoretical Development on Fuzzy Distance Measure

Fuzzy distance measure is one of the most useful tools in applications. Many distance methods have been proposed so far. However, there is no method that can always give a satisfactory solution to every situation. In this paper, we propose a new algorithm to determine distance between two fuzzy numbers. The proposed method could be developed in n-dimentions. Finally, some numerical examples demonstrate the advantages of this method