Development and validation of a RNA binding protein gene pair-associated prognostic signature for prediction of overall survival in hepatocellular carcinoma

Increasing evidence has demonstrated the correlation between hepatocellular carcinoma (HCC) prognosis and RNA binding proteins (RBPs) dysregulation. Thus, we aimed to develop and validate a reliable prognostic signature that can estimate the prognosis for HCC. Gene expression profiling and clinical...

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Bibliographic Details
Published in:Biomedical engineering online 2020-09, Vol.19 (1), p.68-15, Article 68
Main Authors: Kang, Chunmiao, Jia, Xuanhui, Liu, Hongsheng
Format: Article
Language:English
Subjects:
Age
Binding proteins
Biomarkers
Carcinoma, Hepatocellular - diagnosis
Carcinoma, Hepatocellular - genetics
Care and treatment
Clinical medicine
Development and progression
Female
Gene expression
Gene Expression Profiling
Genes
Genetic aspects
Genetic regulation
Genomes
Health aspects
Hepatitis
Hepatocellular carcinoma
Humans
Identification and classification
Liver cancer
Liver Neoplasms - diagnosis
Liver Neoplasms - genetics
Male
Medical prognosis
Metabolism
Middle Aged
Non-coding RNA
Overall survival
Patients
Prognosis
Proteins
Regression analysis
Reproducibility of Results
Ribonucleic acid
Risk
Risk groups
RNA
RNA binding protein
RNA modification
RNA-Binding Proteins - genetics
Signature
Splicing
Survival
Survival Analysis
Time dependence
Translation termination
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Summary:Increasing evidence has demonstrated the correlation between hepatocellular carcinoma (HCC) prognosis and RNA binding proteins (RBPs) dysregulation. Thus, we aimed to develop and validate a reliable prognostic signature that can estimate the prognosis for HCC. Gene expression profiling and clinical information of 374 HCC patients were derived from the TCGA data portal. The survival-related RBP pairs were determined using univariate cox-regression analysis and the signature was built based on LASSO analysis. All patients were divided patients into high-and low-risk groups according to the optimal cut off of the signature score determined by time-dependent receiver operating characteristic (ROC) curve analysis. The predictive value of the signature was further validated in an independent cohort. A 37-RBP pairs signature consisting of 61 unique genes was constructed which was significantly associated with the survival. The RBP-related signature accurately predicted the prognosis of HCC patients, and patients in high-risk groups showed poor survival in two cohorts. The novel signature was an independent prognostic factor of HCC in two cohorts (all P 
ISSN:1475-925X
1475-925X
DOI:10.1186/s12938-020-00812-0