A P53‐related microRNA model for predicting the prognosis of hepatocellular carcinoma patients
| Autor: | Hai‐Zhong Liu, Bo Yu, Jin-Cheng Guo, Jin-Na Liu, Su‐Pei Hu, Yuhan Gao, Shuangsang Fang, Yi Zhao, Shuai Hong, Liang Sun, Jian-Hua Zhang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male 0301 basic medicine Oncology medicine.medical_specialty Carcinoma Hepatocellular Adolescent Physiology Clinical Biochemistry Kaplan-Meier Estimate Disease-Free Survival Young Adult 03 medical and health sciences 0302 clinical medicine Risk Factors Cancer genome Internal medicine microRNA Biomarkers Tumor medicine Humans Survival analysis Aged Neoplasm Staging Aged 80 and over business.industry Proportional hazards model Liver Neoplasms Cell Biology Middle Aged Functional prediction Prognosis medicine.disease Gene Expression Regulation Neoplastic MicroRNAs 030104 developmental biology Tumor progression 030220 oncology & carcinogenesis Hepatocellular carcinoma Prognostic model Female Tumor Suppressor Protein p53 Transcriptome business |
| Zdroj: | Journal of Cellular Physiology. 235:3569-3578 |
| ISSN: | 1097-4652 0021-9541 |
| DOI: | 10.1002/jcp.29245 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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