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Hepatocellular carcinoma associated microRNA expression signature: integrated bioinformatics analysis, experimental validation and clinical significance

Authors :
Ke-Qing Shi
Ming-Hua Zheng
Jin-Zhong Dong
Mei Song
Yi-Jing Cai
Nai-Bing Yang
Yong-Ping Chen
Lei Zhang
Xiang-Jian Chen
Zhuo Lin
Yu-Qun Wang
Source :
Oncotarget
Publication Year :
2015
Publisher :
Impact Journals, LLC, 2015.

Abstract

// Ke-Qing Shi 1 , Zhuo Lin 1 , Xiang-Jian Chen 2 , Mei Song 1 , Yu-Qun Wang 1 , Yi-Jing Cai 1 , Nai-Bing Yang 1 , Ming-Hua Zheng 1 , Jin-Zhong Dong 1 , Lei Zhang 1 , Yong-Ping Chen 1 1 Department of Infection and Liver Diseases, Liver Research Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China 2 Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China Correspondence to: Yong-Ping Chen, e-mail: ypchen1959@163.com Keywords: hepatocellular carcinoma, microRNA, biomarker, signature, robust rank aggregation Received: April 09, 2015 Accepted: June 19, 2015 Published: June 30, 2015 ABSTRACT microRNA (miRNA) expression profiles varied greatly among current studies due to different technological platforms and small sample size. Systematic and integrative analysis of published datesets that compared the miRNA expression profiles between hepatocellular carcinoma (HCC) tissue and paired adjacent noncancerous liver tissue was performed to determine candidate HCC associated miRNAs. Moreover, we further validated the confirmed miRNAs in a clinical setting using qRT-PCR and Tumor Cancer Genome Atlas (TCGA) dataset. A miRNA integrated-signature of 5 upregulated and 8 downregulated miRNAs was identified from 26 published datesets in HCC using robust rank aggregation method. qRT-PCR demonstrated that miR-93-5p, miR-224-5p, miR-221-3p and miR-21-5p was increased, whereas the expression of miR-214-3p, miR-199a-3p, miR-195-5p, miR-150-5p and miR-145-5p was decreased in the HCC tissues, which was also validated on TCGA dataset. A miRNA based score using LASSO regression model provided a high accuracy for identifying HCC tissue (AUC = 0.982): HCC risk score = 0.180E_miR-221 + 0.0262E_miR-21 - 0.007E_miR-223 - 0.185E_miR-130a. E_miR-n = Log 2 (expression of microRNA n). Furthermore, expression of 5 miRNAs (miR-222, miR-221, miR-21 miR-214 and miR-130a) correlated with pathological tumor grade. Cox regression analysis showed that miR-21 was related with 3-year survival (hazard ratio [HR]: 1.509, 95%CI: 1.079–2.112, P = 0.016) and 5-year survival (HR: 1.416, 95%CI: 1.057–1.897, P = 0.020). However, none of the deregulated miRNAs was related with microscopic vascular invasion. This study provides a basis for further clinical application of miRNAs in HCC.

Details

ISSN :
19492553
Volume :
6
Database :
OpenAIRE
Journal :
Oncotarget
Accession number :
edsair.doi.dedup.....4d6296caae9572a7b584608f3a779546
Full Text :
https://doi.org/10.18632/oncotarget.4437