RESUMO
INTRODUCTION: Advances in high-throughput technologies have generated diverse informative molecular markers for cancer outcome prediction. Long non-coding RNA (lncRNA) and DNA methylation as new classes of promising markers are emerging as key molecules in human cancers; however, the prognostic utility of such diverse molecular data remains to be explored. MATERIALS AND METHODS: We proposed a computational pipeline (IDFO) to predict patient survival by identifying prognosis-related biomarkers using multi-type molecular data (mRNA, microRNA, DNA methylation, and lncRNA) from 3198 samples of five cancer types. We assessed the predictive performance of both single molecular data and integrated multi-type molecular data in patient survival stratification, and compared their relative importance in each type of cancer, respectively. Survival analysis using multivariate Cox regression was performed to investigate the impact of the IDFO-identified markers and traditional variables on clinical outcome. RESULTS: Using the IDFO approach, we obtained good predictive performance of the molecular datasets (bootstrap accuracy: 0.71-0.97) in five cancer types. Impressively, lncRNA was identified as the best prognostic predictor in the validated cohorts of four cancer types, followed by DNA methylation, mRNA, and then microRNA. We found the incorporating of multi-type molecular data showed similar predictive power to single-type molecular data, but with the exception of the lncRNA + DNA methylation combinations in two cancers. Survival analysis of proportional hazard models confirmed a high robustness for lncRNA and DNA methylation as prognosis factors independent of traditional clinical variables. CONCLUSION: Our study provides insight into systematically understanding the prognostic performance of diverse molecular data in both single and aggregate patterns, which may have specific reference to subsequent related studies.
Assuntos
Biomarcadores Tumorais/genética , Neoplasias da Mama/diagnóstico , Neoplasias do Colo/diagnóstico , Neoplasias Pulmonares/diagnóstico , Neoplasias Ovarianas/diagnóstico , Neoplasias Uterinas/diagnóstico , Biomarcadores Tumorais/metabolismo , Neoplasias da Mama/genética , Neoplasias da Mama/mortalidade , Neoplasias da Mama/patologia , Neoplasias do Colo/genética , Neoplasias do Colo/mortalidade , Neoplasias do Colo/patologia , Metilação de DNA , Feminino , Perfilação da Expressão Gênica , Humanos , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/mortalidade , Neoplasias Pulmonares/patologia , MicroRNAs/genética , MicroRNAs/metabolismo , Neoplasias Ovarianas/genética , Neoplasias Ovarianas/mortalidade , Neoplasias Ovarianas/patologia , Valor Preditivo dos Testes , Prognóstico , Modelos de Riscos Proporcionais , RNA Longo não Codificante/genética , RNA Longo não Codificante/metabolismo , RNA Mensageiro/genética , RNA Mensageiro/metabolismo , Análise de Sobrevida , Neoplasias Uterinas/genética , Neoplasias Uterinas/mortalidade , Neoplasias Uterinas/patologiaRESUMO
Objective To investigate the effect of tail-suspension,noise stress and combination of them on immune function in rats.Methods The rats were divided into four different groups,A: control;B: noise stress(2 h);C: tail-suspension(30?,21 d);D: tail-suspension added noise stress.The body weight,thymus weight and spleen weight,circulating leukocytes and its distribution,T lymphocyte subpopulations(with flow cytometry) and NO level in serum(with Griess method) of rats were determined after exposed to 21 d tail-suspension,2 h noise stress and combination of them.Results Compared with group A,the body weight were significantly decreased(P
