A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular Carcinoma
Currently, an increasing number of studies suggest that long non-coding RNAs (lncRNAs) and methylation-regulated lncRNAs play a critical role in the pathogenesis of various cancers including hepatocellular carcinoma (HCC). Therefore, methylated differentially expressed lncRNAs (MDELs) may be critica...
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doaj-aff28836cbbe47cf80cb04979a3c7ea42020-11-25T04:02:13ZengMDPI AGGenes2073-44252020-08-011190890810.3390/genes11080908A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular CarcinomaLe-En Liao0Dan-Dan Hu1Yun Zheng2State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong, ChinaCurrently, an increasing number of studies suggest that long non-coding RNAs (lncRNAs) and methylation-regulated lncRNAs play a critical role in the pathogenesis of various cancers including hepatocellular carcinoma (HCC). Therefore, methylated differentially expressed lncRNAs (MDELs) may be critical biomarkers of HCC. In this study, 63 MDELs were identified by screening The Cancer Genome Atlas (TCGA) HCC lncRNAs expression data set and lncRNAs methylation data set. Based on univariate and multivariate survival analysis, four MDELs (AC025016.1, LINC01164, LINC01183 and LINC01269) were selected to construct the survival prognosis prediction model. Through the PI formula, the study indicates that our new prediction model performed well and is superior to the traditional staging method. At the same time, compared with the previous prediction models reported in the literature, the results of time-dependent receiver operating characteristic (ROC) curve analysis show that our 4-MDELs model predicted overall survival (OS) stability and provided better prognosis. In addition, we also applied the prognostic model to Cancer Cell Line Encyclopedia (CCLE) cell lines and classified different hepatoma cell lines through the model to evaluate the sensitivity of different hepatoma cell lines to different drugs. In conclusion, we have established a new risk scoring system to predict the prognosis, which may have a very important guiding significance for the individualized treatment of HCC patients.https://www.mdpi.com/2073-4425/11/8/908hepatocellular carcinomalncRNAsDNA methylationsurvival analysis prognostic predictive model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Le-En Liao Dan-Dan Hu Yun Zheng |
spellingShingle |
Le-En Liao Dan-Dan Hu Yun Zheng A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular Carcinoma Genes hepatocellular carcinoma lncRNAs DNA methylation survival analysis prognostic predictive model |
author_facet |
Le-En Liao Dan-Dan Hu Yun Zheng |
author_sort |
Le-En Liao |
title |
A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular Carcinoma |
title_short |
A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular Carcinoma |
title_full |
A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular Carcinoma |
title_fullStr |
A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular Carcinoma |
title_full_unstemmed |
A Four-Methylated lncRNAs-Based Prognostic Signature for Hepatocellular Carcinoma |
title_sort |
four-methylated lncrnas-based prognostic signature for hepatocellular carcinoma |
publisher |
MDPI AG |
series |
Genes |
issn |
2073-4425 |
publishDate |
2020-08-01 |
description |
Currently, an increasing number of studies suggest that long non-coding RNAs (lncRNAs) and methylation-regulated lncRNAs play a critical role in the pathogenesis of various cancers including hepatocellular carcinoma (HCC). Therefore, methylated differentially expressed lncRNAs (MDELs) may be critical biomarkers of HCC. In this study, 63 MDELs were identified by screening The Cancer Genome Atlas (TCGA) HCC lncRNAs expression data set and lncRNAs methylation data set. Based on univariate and multivariate survival analysis, four MDELs (AC025016.1, LINC01164, LINC01183 and LINC01269) were selected to construct the survival prognosis prediction model. Through the PI formula, the study indicates that our new prediction model performed well and is superior to the traditional staging method. At the same time, compared with the previous prediction models reported in the literature, the results of time-dependent receiver operating characteristic (ROC) curve analysis show that our 4-MDELs model predicted overall survival (OS) stability and provided better prognosis. In addition, we also applied the prognostic model to Cancer Cell Line Encyclopedia (CCLE) cell lines and classified different hepatoma cell lines through the model to evaluate the sensitivity of different hepatoma cell lines to different drugs. In conclusion, we have established a new risk scoring system to predict the prognosis, which may have a very important guiding significance for the individualized treatment of HCC patients. |
topic |
hepatocellular carcinoma lncRNAs DNA methylation survival analysis prognostic predictive model |
url |
https://www.mdpi.com/2073-4425/11/8/908 |
work_keys_str_mv |
AT leenliao afourmethylatedlncrnasbasedprognosticsignatureforhepatocellularcarcinoma AT dandanhu afourmethylatedlncrnasbasedprognosticsignatureforhepatocellularcarcinoma AT yunzheng afourmethylatedlncrnasbasedprognosticsignatureforhepatocellularcarcinoma AT leenliao fourmethylatedlncrnasbasedprognosticsignatureforhepatocellularcarcinoma AT dandanhu fourmethylatedlncrnasbasedprognosticsignatureforhepatocellularcarcinoma AT yunzheng fourmethylatedlncrnasbasedprognosticsignatureforhepatocellularcarcinoma |
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