Screening and identification of prognosis-related miRNA in hepatocellular carcinoma by the TCGA database

VernacularTitle:基于TCGA数据的肝癌预后相关miRNA筛选
Author: Dan SHI ¹ ; Bin XU ; ting Jing JIANG
Author Information

1. 苏州大学附属第三医院肿瘤生物诊疗中心
Keywords: hepatocellular carcinoma; miRNA; TCGA data
From: Chinese Journal of Clinical Laboratory Science 2017;35(11):818-821
CountryChina
Language:Chinese
Abstract: Objective MicroRNAs(miRNAs) play a critical role in the prognosis of liver cancer,especially in hepatocellular carcinoma (HCC).The aim of this study was to find the new prognosis-related miRNAs in HCC through data mining of The Cancer Genome Atlas(TC-GA).Methods The miRNA expression data with clinicopathological characteristics and prognosis of liver cancer patients were obtained from the TCGA data portal and then data analysis,integration and standardization were performed by R package.Moreover,univariate Cox model and high-dimensional analytical model BhGLM(Bayesian hierarchical generalized linear model) were used to analyze the miRNA expression profiles data.Results A total of 63 and 77 prognosis-related miRNAs were screened using Cox and BhGLM model respectively,and 18 miRNAs were screened by co-analysis of Cox and BhGLM.Among them 4 prognosis-related miRNAs such as miR-188,miR-576,miR-887 and miR-91 have never been reported in HCC.Conclusion On the basis of these data,co-analysis of Cox and BhGLM could be an effective method which screen and validate miRNAs as the new clinical prognostic and diagnostic biomarkers in HCC.