Screening and identification of prognosis-related miRNA in hepatocellular carcinoma by the TCGA database
10.13602/j.cnki.jcls.2017.11.05
- 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.