A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients | |
Jiang, Haitao1,2,3; Zhao, Lianhe4; Chen, Yunjie1,2,3; Sun, Liang4 | |
刊名 | JOURNAL OF CLINICAL LABORATORY ANALYSIS |
2020-05-30 | |
页码 | 9 |
关键词 | biomarker hepatocellular carcinoma lncRNA prognostic signature |
ISSN号 | 0887-8013 |
DOI | 10.1002/jcla.23377 |
英文摘要 | Background Hepatocellular carcinoma (HCC) is a common neoplasm located in the liver. Accumulating evidence has highlighted that long noncoding RNAs (lncRNAs) are correlated with the survival of HCC patients. This study focuses on finding a lncRNA signature to predict the prognostic risk of HCC patients. Methods Statistical and machine learning analyses were conducted to analyze the lncRNA expression data and corresponding clinical data of 180 HCC patients collected from the public online Tanric and The Cancer Genome Atlas (TCGA) databases. Results From the training dataset, we obtained the four-lncRNA model comprising RP11-495K9.6, RP11-96O20.2, RP11-359K18.3, and LINC00556 which can divide HCC patients into two different groups with significantly different prognosis (n = 90, median 1.81, 95% confidence interval [CI]: 1.50-4.91 vs 8.56 years, 95% CI: 6.96-9.97, log-rank test P < .001). The test dataset confirmed the prognostic ability of the signature (n = 90, median 1.95, 95% CI: 1.14-4.08 vs 5.80 years, 95% CI: 3.11-6.82, log-rank test P = .007). Receiver operating characteristic curve displayed the better prediction efficiency of the four-lncRNA signature than the tumor/node/metastasis stage. Cox analysis showed the four-lncRNA signature was an independent predictor of HCC prognosis. Conclusion The four-lncRNA signature can be used as an independent biomarker for HCC patients to predict the prognostic risk. |
资助项目 | Ningbo Natural Science Foundation,China[2017A610149] ; Medical Scientific Research Foundation of Zhejiang Province,China[2018265085] ; Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province[2019E10020] ; Ningbo Clinical Research Center for Digestive System Tumors[2019A21003] ; National Natural Science Foundation of China[3197040656] |
WOS研究方向 | Medical Laboratory Technology |
语种 | 英语 |
出版者 | WILEY |
WOS记录号 | WOS:000536326700001 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.204/handle/2XEOYT63/15348] |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Chen, Yunjie; Sun, Liang |
作者单位 | 1.Univ Chinese Acad Sci, Ningbo Inst Life & Hlth Ind, Ningbo, Peoples R China 2.Univ Chinese Acad Sci, HwaMei Hosp, Dept Gen Surg, Ningbo 315010, Peoples R China 3.Key Lab Diag & Treatment Digest Syst Tumors Zheji, Ningbo, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Adv Comp Res Ctr, Key Lab Intelligent Informat Proc, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, Haitao,Zhao, Lianhe,Chen, Yunjie,et al. A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients[J]. JOURNAL OF CLINICAL LABORATORY ANALYSIS,2020:9. |
APA | Jiang, Haitao,Zhao, Lianhe,Chen, Yunjie,&Sun, Liang.(2020).A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients.JOURNAL OF CLINICAL LABORATORY ANALYSIS,9. |
MLA | Jiang, Haitao,et al."A four-long noncoding RNA signature predicts survival of hepatocellular carcinoma patients".JOURNAL OF CLINICAL LABORATORY ANALYSIS (2020):9. |
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