A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma
Abstract Based on accumulating evidence, long noncoding RNAs (lncRNAs) are potential biomarkers and therapeutic targets for many diseases, including tumors. In this study, we consulted The Cancer Genome Atlas (TCGA) database to explore the functions and modulatory mechanisms of lncRNAs as competing...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-08-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.3275 |
| _version_ | 1797387179240980480 |
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| author | Xuefeng Gu Hongbo Li Ling Sha Wei Zhao |
| author_facet | Xuefeng Gu Hongbo Li Ling Sha Wei Zhao |
| author_sort | Xuefeng Gu |
| collection | DOAJ |
| description | Abstract Based on accumulating evidence, long noncoding RNAs (lncRNAs) are potential biomarkers and therapeutic targets for many diseases, including tumors. In this study, we consulted The Cancer Genome Atlas (TCGA) database to explore the functions and modulatory mechanisms of lncRNAs as competing endogenous RNAs (ceRNAs) in hepatocellular carcinoma (HCC) in Asian patients and constructed a risk scoring system composed of four lncRNAs (SNHG1, STEAP3‐AS1, RUSC1‐AS1, and SNHG3) to predict the outcomes of Asian patients with HCC. The prognostic value of this risk model was validated in the internal validation cohort (n = 157). The stratified survival analysis revealed good performance for the risk model in stratifying clinical features. According to the Cox proportional hazard regression analysis, the four‐lncRNA risk model is an independent prognostic model for Asian patients with HCC. Finally, we developed a nomogram that integrates prognostic signals and other clinical information to predict 1‐, 3‐, and 5‐year overall survival rates. In conclusion, the prognostic lncRNAs identified in our study exerted potential biological effects on the development of HCC. The risk scoring model based on four lncRNAs may be an effective classification tool for assessing the prognosis of Asian patients with HCC. |
| first_indexed | 2024-03-08T22:20:05Z |
| format | Article |
| id | doaj.art-4429dcde510a4bbfb0579a32929db132 |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-03-08T22:20:05Z |
| publishDate | 2020-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-4429dcde510a4bbfb0579a32929db1322023-12-18T12:56:30ZengWileyCancer Medicine2045-76342020-08-019165719573010.1002/cam4.3275A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinomaXuefeng Gu0Hongbo Li1Ling Sha2Wei Zhao3Medical School Southeast University Nanjing Jiangsu ChinaDepartment of Hepatology Infectious Diseases Hospital Affiliated with Soochow University Suzhou Jiangsu ChinaDepartment of Neurology Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing ChinaMedical School Southeast University Nanjing Jiangsu ChinaAbstract Based on accumulating evidence, long noncoding RNAs (lncRNAs) are potential biomarkers and therapeutic targets for many diseases, including tumors. In this study, we consulted The Cancer Genome Atlas (TCGA) database to explore the functions and modulatory mechanisms of lncRNAs as competing endogenous RNAs (ceRNAs) in hepatocellular carcinoma (HCC) in Asian patients and constructed a risk scoring system composed of four lncRNAs (SNHG1, STEAP3‐AS1, RUSC1‐AS1, and SNHG3) to predict the outcomes of Asian patients with HCC. The prognostic value of this risk model was validated in the internal validation cohort (n = 157). The stratified survival analysis revealed good performance for the risk model in stratifying clinical features. According to the Cox proportional hazard regression analysis, the four‐lncRNA risk model is an independent prognostic model for Asian patients with HCC. Finally, we developed a nomogram that integrates prognostic signals and other clinical information to predict 1‐, 3‐, and 5‐year overall survival rates. In conclusion, the prognostic lncRNAs identified in our study exerted potential biological effects on the development of HCC. The risk scoring model based on four lncRNAs may be an effective classification tool for assessing the prognosis of Asian patients with HCC.https://doi.org/10.1002/cam4.3275ceRNAhepatocellular carcinomalncRNAoverall survivalrisk scoreTCGA |
| spellingShingle | Xuefeng Gu Hongbo Li Ling Sha Wei Zhao A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma Cancer Medicine ceRNA hepatocellular carcinoma lncRNA overall survival risk score TCGA |
| title | A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma |
| title_full | A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma |
| title_fullStr | A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma |
| title_full_unstemmed | A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma |
| title_short | A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma |
| title_sort | prognostic model composed of four long noncoding rnas predicts the overall survival of asian patients with hepatocellular carcinoma |
| topic | ceRNA hepatocellular carcinoma lncRNA overall survival risk score TCGA |
| url | https://doi.org/10.1002/cam4.3275 |
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