RESUMO
To investigate the prognostic effect of microRNA single nucleotide polymorphisms (SNP) on non-small cell lung cancer (NSCLC) patients, 658 female participants from northeast China were enrolled in our prospective cohort study and followed up from 2010 to 2015. C-containing genotypes of miR-149 rs2292832 were associated with better overall survival (OS). The joint effect of miR-149 and miR-196a2 and the joint effect of miR-149 and miR-608 were also observed in our study. To verify the function of miR-149 rs2292832, A549 cell lines were stably transfected with lenti-virus containing miR-149-C vector, miR-149-T vector and empty vector. Cells containing C allele assumed a higher expression level of miR-149, a decrease in cell growth and the sensitivity to anticancer drug when compared with cells containing T allele. The role of miR-149 playing in cancer prognosis may function through DNA topoisomerases 1 (TOP1) pathway, according to the results from luciferase reporter assays. In conclusion, miR-149 C allele may be a prognostic biomarker for better NSCLC OS.
Assuntos
Biomarcadores Tumorais/genética , Carcinoma Pulmonar de Células não Pequenas/genética , Neoplasias Pulmonares/genética , MicroRNAs/genética , Polimorfismo de Nucleotídeo Único , Células A549 , Antineoplásicos/farmacologia , Povo Asiático/genética , Biomarcadores Tumorais/metabolismo , Carcinoma Pulmonar de Células não Pequenas/etnologia , Carcinoma Pulmonar de Células não Pequenas/metabolismo , Carcinoma Pulmonar de Células não Pequenas/terapia , Proliferação de Células/efeitos dos fármacos , China , Cisplatino/farmacologia , DNA Topoisomerases Tipo I/genética , DNA Topoisomerases Tipo I/metabolismo , Relação Dose-Resposta a Droga , Feminino , Estudos de Associação Genética , Predisposição Genética para Doença , Humanos , Estimativa de Kaplan-Meier , Neoplasias Pulmonares/etnologia , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/terapia , MicroRNAs/metabolismo , Pessoa de Meia-Idade , Fenótipo , Estudos Prospectivos , Fatores de Risco , Fatores Sexuais , Fatores de Tempo , TransfecçãoRESUMO
Objective To explore the prospect of nonlinear autoregressive neural network in fitting and predicting the incidence tendency of hemorrhagic fever with renal syndrome (HFRS),in the mainland of China.Methods Monthly reported case series of HFRS in China from 2004 to 2013 were used to build both ARIMA and NAR neural network models,in order to predict the monthly incidence of HFRS in China in 2014.Fitness and prediction on the effects of these two models were compared.Results For the Fitting dataset,MAE,RMSE and MAPE of the ARIMA model were 148.058,272.077 and 12.678％ respectively,while the MAE,RMSE and MAPE of NAR neural network appeared as 119.436,186.671 and 11.778％ respectively.For the Predicting dataset,MAE,RMSE and MAPE of the ARIMA model appeared as 189.088,221.133 and 21.296％,while the MAE,RMSE and MAPE of the NAR neural network as 119.733,151.329 and 11.431％ respectively.Conclusion The NAR neural network showed better effects in fitting and predicting the incidence tendency of HFRS than using the traditional ARIMA model,in China.NAR neural network seemed to have strong application value in the prevention and control of HFRS.
