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Six-long non-coding RNA signature predicts recurrence-free survival in hepatocellular carcinoma

Six-long non-coding RNA signature predicts recurrence-free survival in hepatocellular carcinoma

作     者:Jing-Xian Gu Xing Zhang Run-Chen Miao Xiao-Hong Xiang Yu-Nong Fu Jing-Yao Zhang Chang Liu Kai Qu 

作者机构:Department of Hepatobiliary Surgery The First Affiliated Hospital of Xi’an Jiaotong University 

出 版 物:《World Journal of Gastroenterology》 (世界胃肠病学杂志(英文版))

年 卷 期:2019年第25卷第2期

页      面:220-232页

核心收录:

学科分类:10[医学] 

基  金:Supported by The National Natural Science Foundation of China,No.81773128 and No.81871998 the Natural Science Basic Research Plan in Shaanxi Province of China,No.2017JM8039 China Postdoctoral Science Foundation,No.2018m641000 Research Fund for Young Star of Science and Technology in Shaanxi Province,No.2018KJXX-022 

主  题:Long non-coding RNAs Hepatocellular carcinoma Prognostic signature Recurrence-free survival Least absolute shrinkage and selection operator 

摘      要:BACKGROUND Recent evidence shows that long non-coding RNAs(lncRNAs) are closely related to hepatogenesis and a few aggressive features of hepatocellular carcinoma(HCC). Increasing studies demonstrate that lncRNAs are potential prognostic factors for HCC. Moreover, several studies reported the combination of lncRNAs for predicting the overall survival(OS) of HCC, but the results varied. Thus,more effort including more accurate statistical approaches is needed for exploring the prognostic value of lncRNAs in *** To develop a robust lncRNA signature associated with HCC recurrence to improve prognosis prediction of *** Univariate COX regression analysis was performed to screen the lncRNAs significantly associated with recurrence-free survival(RFS) of HCC in GSE76427 for the least absolute shrinkage and selection operator(LASSO) modelling. The established lncRNA signature was validated and developed in The Cancer Genome Atlas(TCGA) series using Kaplan-Meier curves. The expression values of the identified lncRNAs were compared between the tumor and non-tumor tissues. Pathway enrichment of these lncRNAs was conducted based on the significantly co-expressed genes. A prognostic nomogram combining the lncRNA signature and clinical characteristics was *** The lncRNA signature consisted of six lncRNAs: MSC-AS1, POLR2 J4, EIF3 J-AS1,SERHL, RMST, and PVT1. This risk model was significantly associated with the RFS of HCC in the TCGA cohort with a hazard ratio(HR) being 1.807(95%CI[confidence interval]: 1.329-2.457) and log-rank P-value being less than 0.001. The best candidates of the six-lncRNA signature were younger male patients with HBV infection in relatively early tumor-stage and better physical condition but with higher preoperative alpha-fetoprotein. All the lncRNAs were significantly upregulated in tumor samples compared to non-tumor samples(P 0.05). The most significantly enriched pathways of the lncRNAs were TGF-β signaling pathway, cellula

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