A three-long non-coding RNA-expression-based risk score system can better predict both overall and recurrence-free survival in patients with small hepatocellular carcinoma

Aging
Jingxian GuKai Qu

Abstract

Growing evidence indicates that long non-coding RNAs (lncRNAs) may be potential biomarkers and therapeutic targets for many disease conditions, including cancer. In this study, we constructed a risk score system of three lncRNAs (LOC101927051, LINC00667 and NSUN5P2) for predicting the prognosis of small hepatocellular carcinoma (sHCC) (maximum tumor diameter ≤5 cm). The prognostic value of this sHCC risk model was confirmed in TCGA HCC samples (TNM stage I and II). Stratified survival analysis revealed that the suitable patient groups of the sHCC lncRNA-signature included HBV-infected and cirrhotic patients with better physical conditions yet lower levels of albumin and higher levels of alpha-fetoprotein preoperatively. Besides, Asian patients with no family history of HCC or history of alcohol consumption can be predicted more precisely. Molecular functional analysis indicated that PYK2 pathway was significantly enriched in the high-risk patients. Pathway enrichment analysis indicated that the two lncRNAs (LINC00667 and NSUN5P2) associated with poor prognosis were closely related to cell cycle. The nomogram based on the lncRNA-signature for RFS prediction in sHCC patients exhibited good performance in recurrence risk stratific...Continue Reading

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Citations

Apr 30, 2019·Journal of Cellular Biochemistry·Ying ChenQing Yang
Jun 1, 2020·Journal of Clinical Laboratory Analysis·Haitao JiangLiang Sun
Oct 1, 2020·World Journal of Gastroenterology : WJG·Wei ZhangYong-Ping Yang
Nov 19, 2020·Computational and Mathematical Methods in Medicine·Rui ZhuLiucun Zhu
Feb 16, 2021·Frontiers in Cell and Developmental Biology·Yiyi ZhangXingrong Lu

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Datasets Mentioned

BETA
GSE14520
GPL571
GPL3921

Software Mentioned

GraphPad Prism
JAVA
Metascape
STATA
LASSO
NetAffx
BioCarta
R
wgcna
GSEA

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