Dergiler / Turkish Journal of Gastroenterology / 2021 / Cilt: 32 - Sayı: 2

Identification of Key Genes for Hepatitis Delta Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis

Sayfa
169–177
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Conclusion: The present study identifies a series of key genes that may be involved in the carcinogenesis of HDV-HCC and used as prognostic factors.

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Amaç & Hipotez:Background: It has been proposed that hepatitis delta virus (HDV) induces hepatic carcinogenesis by distinct molecular events compared with hepatocellular carcinoma (HCC) that is commonly induced by other hepatitis viruses.
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Temel Bulgular & Veri:Methods: The GSE107170 dataset was downloaded and the differentially expressed genes (DEGs) were obtained by the online tool GEO2R.
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Sonuç & Katkı:Conclusion: The present study identifies a series of key genes that may be involved in the carcinogenesis of HDV-HCC and used as prognostic factors.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Background: It has been proposed that hepatitis delta virus (HDV) induces hepatic carcinogenesis by distinct molecular events compared with hepatocellular carcinoma (HCC) that is commonly induced by other hepatitis viruses. This study aimed to explore the underlying mechanism by identifying the key genes for HDV-HCC using bioinformatics analysis. Methods: The GSE107170 dataset was downloaded and the differentially expressed genes (DEGs) were obtained by the online tool GEO2R. Gene otology (GO) functional analyses and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using R packages. The protein-protein interaction (PPI) network was constructed by Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Hub genes were selected by Cytoscape software according to degree algorithm. The hub genes were further validated in terms of expression and survival analysis based on public databases. Results: A total of 93 commonly upregulated genes and 36 commonly downregulated genes were found. The top 5 upregulated hub genes were TFRC, ACTR2, ARPC1A, ARPC3, and ARPC2. The top 5 downregulated hub genes were CTNNB1, CCND1, CDKN1B, CDK4, and CDKN1A. In the validation analysis, the expressions of ARPC1A, ARPC3, and CDK4 were promoted in general liver cancer samples. Higher expressions of ARPC2 and CDK4 and lower expressions of CDKN1A, CCND1, and CDKN1B were associated with worse prognosis in general HCC patients. Conclusion: The present study identifies a series of key genes that may be involved in the carcinogenesis of HDV-HCC and used as prognostic factors.

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Bu Makaleye Atıf Yap

ZHANG, C., WU, S., YANG, X., XU, H., MA, T., ZHU, Q. (2021). Identification of Key Genes for Hepatitis Delta Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis. Turkish Journal of Gastroenterology, Cilt: 32 - Sayı: 2, 169–177. https://ajindex.com/articles/408629

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Kaynakça (14)

  1. Bray F, Ferlay J, Soerjomataram I, et al. Global Cancer Statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018
  2. 68(6):394- 424. [CrossRef] 2. Chimed T, Sandagdorj T, Znaor A, et al. Cancer incidence and cancer control in Mongolia: results from the National Cancer Registry 2008-2012. Int J Cancer. 2017
  3. 140(2):302-309. [CrossRef] 3. Rizzetto M, Canese MG, Aricò S, et al. Immunofluorescence detection of new antigen-antibody system (delta/anti-delta) associated to hepatitis B virus in liver and in serum of HBsAg carriers. Gut. 1977
  4. 18(12):997-1003. [CrossRef] 4. Wang KS, Choo QL, Weiner AJ, et al. Structure, sequence and expression of the hepatitis delta (delta) viral genome. Nature. 1986
  5. 323(6088):508-514. [CrossRef] 5. Noureddin M, Gish R. Hepatitis delta: epidemiology, diagnosis and management 36 years after discovery. Curr Gastroenterol Rep. 2014
  6. 16(1):365. [CrossRef] 6. Koh C, Heller T, Glenn JS. Pathogenesis of and new therapies for hepatitis D. Gastroenterology. 2019
  7. 156(2):461.e1-476.e1. [CrossRef] 7. Tu T, Bühler S, Bartenschlager R. Chronic viral hepatitis and its association with liver cancer. Biol Chem. 2017
  8. 398(8):817-837. [CrossRef] 8. Diaz G, Engle RE, Tice A, et al. Molecular signature and mechanisms of hepatitis D virus-associated hepatocellular carcinoma. Mol Cancer Res. 2018
  9. 16(9):1406-1419. [CrossRef] 9. Zhou L, Du Y, Kong L, Zhang X, Chen Q. Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis. Onco Targets Ther. 2018
  10. [CrossRef] 10. Zhang C, Peng L, Zhang Y, et al. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data. Med Oncol. 2017
  11. 34(6):101. [CrossRef] 11. Xing T, Yan T, Zhou Q. Identification of key candidate genes and pathways in hepatocellular carcinoma by integrated bioinformatical analysis. Exp Ther Med. 2018
  12. 15(6):4932-4942. [CrossRef] 12. Melis M, Diaz G, Kleiner DE, et al. Viral expression and molecular profiling in liver tissue versus microdissected hepatocytes in hepatitis B virus-associated hepatocellular carcinoma. J Transl Med. 2014
  13. [CrossRef] 13. Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics. 2012
  14. 16(5):284-287. [CrossRef] 14. Shannon P, Markiel A, Ozier O, et al. Cytoscape: a software environment for integrated models of biomo