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A P53‐related microRNA model for predicting the prognosis of hepatocellular carcinoma patients
Author(s) -
Fang ShuangSang,
Guo JinCheng,
Zhang JianHua,
Liu JinNa,
Hong Shuai,
Yu Bo,
Gao Yuhan,
Hu SuPei,
Liu HaiZhong,
Sun Liang,
Zhao Yi
Publication year - 2020
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.29245
Subject(s) - hepatocellular carcinoma , proportional hazards model , microrna , medicine , oncology , survival analysis , receiver operating characteristic , prognostic model , log rank test , gene , overall survival , biology , biochemistry
Studies have shown that microRNAs (miRNAs) play a vital role in tumor progression and patients’ prognosis. Therefore, we aimed to construct a miRNA model for forecasting the survival of hepatocellular carcinoma (HCC) patients. The gene expression data of 433 patients with HCC from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus public databases were remined by survival analysis and receptor manipulation characteristic curve (ROC). A prognostic model including six miRNAs (hsa‐mir‐26a‐1‐3p, hsa‐mir‐188‐5p, hsa‐mir‐212‐5p, hsa‐mir‐149‐5p, hsa‐mir‐105‐5p, and hsa‐mir‐132‐5p) were constructed in the training dataset (TCGA, n = 333). HCC patients were stratified into a high‐risk group and a low‐risk group with significantly different survival (median: 2.75 vs. 8.93 years, log‐rank test p < .001). Then we proved its performance of stratification in another independent dataset (GSE116182, median: 2.55 vs 6.96 years, log‐rank test p = .008). Cox regression analysis showed that the prognostic model was an independent prognostic indicator for HCC patients. Then time‐dependent ROC analyses were performed to test the prognostic ability of the model with that of TNM staging, we found the model had a better performance, especially at 5 years (AUC = 0.76). Functional prediction showed that the genes targeted by the six prognostic miRNAs in the prognostic model were highly expressed in the P53‐related pathway. In conclusion, we constructed a prognostic miRNA model that could indicate the survival of HCC patients.