Identifying Potential New Gene Expression-Based Biomarkers in the Peripheral Blood Mononuclear Cells of Hepatitis B-Related Hepatocellular Carcinoma

Author:

Poortahmasebi Vahdat123ORCID,Nejati Ahmad4ORCID,Abazari Mohammad Foad3ORCID,Nasiri Toosi Mohsen5ORCID,Ghaziasadi Azam34ORCID,Mohammadzadeh Nader26ORCID,Tavakoli Ahmad7ORCID,Khamseh Azam34ORCID,Momenifar Navid8ORCID,Gholizadeh Omid12ORCID,Norouzi Mehdi34ORCID,Jazayeri Seyed Mohammad34ORCID

Affiliation:

1. Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

2. Department of Bacteriology and Virology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran

3. Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran

4. Department of Virology, School Public Health, Tehran University of Medical Sciences, Tehran, Iran

5. Liver Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran

6. Central Laboratory of East Azerbaijan Province, Tabriz University of Medical Sciences, Tabriz, Iran

7. Research Center of Pediatric Infectious Diseases, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran

8. Human and Animal Cell Bank, Iranian Biological Resource Center (IBRC), ACECR, Tehran, Iran

Abstract

Objective. The analysis of the gene expression of peripheral blood mononuclear cells (PBMCs) is important to clarify the pathogenesis of hepatocellular carcinoma (HCC) and the detection of suitable biomarkers. The purpose of this investigation was to use RNA-sequencing to screen the appropriate differentially expressed genes (DEGs) in the PBMCs for the HCC. Methods. The comprehensive transcriptome of extracted RNA of PBMC (n = 20) from patients with chronic hepatitis B (CHB), liver cirrhosis, and early stage of HCC (5 samples per group) was carried out using RNA-sequencing. All raw RNA-sequencing data analyses were performed using conventional RNA-sequencing analysis tools. Next, gene ontology (GO) analyses were carried out to elucidate the biological processes of DEGs. Finally, relative transcript abundance of selected DEGs was verified using qRT-PCR on additional validation groups. Results. Specifically, 13, 1262, and 1450 DEGs were identified for CHB, liver cirrhosis, and HCC, when compared with the healthy controls. GO enrichment analysis indicated that HCC is closely related to the immune response. Seven DEGs (TYMP, TYROBP, CD14, TGFBI, LILRA2, GNLY, and GZMB) were common to HCC, cirrhosis, and CHB when compared to healthy controls. The data revealed that the expressions of these 7 DEGs were consistent with those from the RNA-sequencing results. Also, the expressions of 7 representative genes that had higher sensitivity were obtained by receiver operating characteristic analysis, which indicated their important diagnostic accuracy for HBV-HCC. Conclusion. This study provides us with new horizons into the biological process and potential prospective clinical diagnosis and prognosis of HCC in the near future.

Funder

NIMAD

Publisher

Hindawi Limited

Subject

Gastroenterology,Hepatology,General Medicine

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