Screening and Identification of Key Genes in Hepatitis B Virus-Related Hepatocellular Carcinoma Through an Integrated Bioinformatics Approach

Authors

  • Thanh Thi Nguyen Department of Tropical and Infectious Diseases, E Hospital, Hanoi, Vietnam.
  • Nga Phuong Vu Department of Tropical and Infectious Diseases, E Hospital, Hanoi, Vietnam.
  • Trung Sy Tran Vietnam Military Medical University, Hanoi, Vietnam
  • Hieu Van Hoang Military Institute of Traditional Medicine, Hanoi, Vietnam.
  • Hoai Thi-Thu Bui Department of Tropical and Infectious Diseases, E Hospital, Hanoi, Vietnam. School of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam.

DOI:

https://doi.org/10.31557/apjcb.2022.7.2.143-149

Keywords:

Hepatitis B virus, Hepatocellular carcinoma, Bioinformatics, Hub genes, GEO

Abstract

Objective: Primary liver cancer is one of the main causes of cancer mortality globally, with hepatocellular carcinoma (HCC) being the most frequent type. Chronic hepatitis B virus (HBV) infection is leading cause of HCC. This study aimed to identify significant genes for predicting prognosis in HBV-associated HCC.
Methods: The GSE121248 gene expression profile was obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) for HBV-associated HCC were identified by analyzing this expression profile. Enrichment analyses were performed to discover the role of DEGs in biological processes, cell components, molecular functions, and pathways. Then, protein-protein interaction (PPI) was constructed and 5 hub genes were identified. Finally, survival analysis was conducted to validate the prognostic value of these genes.
Results: A total of 20188 official gene symbols were found, and 119 DEGs were identified between HBV-associated HCC and normal liver tissues. The PPI network identified CCNB1, CDK1, TOP2A, RACGAP1, and ASPM as hub genes. Kaplan-Meier curves showed that the high expression of the hub genes had significantly lower survival.
Conclusion: CCNB1, CDK1, TOP2A, RACGAP1, and ASPM could be potential prognostic biomarkers and therapeutic targets for HBV-associated HCC.

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Published

2022-06-14

How to Cite

1.
Nguyen TT, Vu NP, Tran TS, Hoang HV, Bui HT-T. Screening and Identification of Key Genes in Hepatitis B Virus-Related Hepatocellular Carcinoma Through an Integrated Bioinformatics Approach. Asian Pac J Cancer Biol [Internet]. 2022 Jun. 14 [cited 2026 Jun. 8];7(2):143-9. Available from: http://waocp.com/journal/index.php/apjcb/article/view/866

Issue

Vol. 7 No. 2 (2022)

Section

Research Articles/ Original Work

License

 West Asia Organization for Cabcer Prevention retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4 (This permits anyone to copy, distribute, transmit and adapt the published work, provided the original work and source are appropriately cited).