OncoTargets and Therapy (Nov 2019)
Identification Of Novel lncRNAs For Detection Of HBV-Associated Hepatocellular Carcinoma
Abstract
Yuwei Li,1,* Xia Chen,1,* Hengliu Huang,1,* Guangyao Li,2 Ling Liao,1 Tao Yuan,2 Shaoli Deng1 1Department of Clinical Laboratory, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, People’s Republic of China; 2Department of Hepatobiliary Surgery, Army Medical University (Third Military Medical University), Chongqing 400042, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shaoli DengDepartment of Clinical Laboratory, Daping Hospital, Army Medical University (Third Military Medical University), No. 10, Changjiang Zhilu, DaPing, Yuzhong District, Chongqing 400042, People’s Republic of ChinaTel +862368757602Email [email protected] YuanDepartment of Hepatobiliary Surgery, Daping Hospital, Army Medical University (Third Military Medical University), No. 10, Changjiang Zhilu, DaPing, Yuzhong District, Chongqing 400042, People’s Republic of ChinaTel +862368767966Email [email protected]: This study was conducted to investigate the differentially expressed profiles of long non-coding RNAs (lncRNAs) in HBV-associated HCC (HBV-HCC), which may serve as potential diagnostic biomarkers and therapeutic targets.Methods: To examine the differentially expressed profiles of lncRNAs and mRNAs using microarray analysis, we collected 15 specimens: five HBV-associated HCC tissues, five paired adjacent peritumoral liver tissues (APLT), and five distant peritumoral liver tissues (DPLT). Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to predict the biological roles and potential signaling pathways of these dysregulated mRNAs. In addition, lncRNA-mRNA co-expression network and signal transduction pathway network (Signal-net) were employed to further explore the potential target genes and roles of dysregulated lncRNAs in HBV-HCC pathogenesis. Finally, quantitative real-time PCR (qRT-PCR) was used to confirm the expression of six selected dysregulated lncRNAs.Results: A total number of 719 lncRNAs and 3438 mRNAs were significantly more dysregulated in HBV-HCC tissues than in APLT and DPLT (fold change > 2, P < 0.05, FDR < 0.05). Additionally, 337 GO terms and 53 KEGG pathways were established to be significantly enriched. These dysregulated mRNAs were mainly enriched in metabolism-related biological processes. Additionally, lncRNA-mRNA coexpression network analysis showed that NONHSAT053785 is at the core of the network. Furthermore, the Signal-net analysis showed that CYP3A4 was gene with the highest degree. Finally, the data of five of the six selected differentially expressed lncRNAs were in agreement with the microarray data obtained by qRT-PCR verification.Conclusion: Our study revealed the differentially expressed profiles of lncRNAs and mRNAs for HBV-HCC, and five novel dysregulated lncRNAs were identified in HBV-HCC tissues. The aforementioned dysregulated lncRNAs may represent potential diagnostic biomarkers and therapeutic targets of HBV-HCC, which needs to be validated in future studies.Keywords: long non-coding RNA, hepatocellular carcinoma, microarray, biomarker
