International Journal of General Medicine (Dec 2021)

Identification of the Potential Prognosis Biomarkers in Hepatocellular Carcinoma: An Analysis Based on WGCNA and PPI

  • Huang J,
  • Zhan Y,
  • Jiang L,
  • Gao Y,
  • Zhao B,
  • Zhang Y,
  • Zhang W,
  • Zheng J,
  • Yu J

Journal volume & issue
Vol. Volume 14
pp. 9555 – 9565

Abstract

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Junting Huang,1,* Yating Zhan,1,* Lili Jiang,1,* Yuxiang Gao,1,* Binyu Zhao,1,* Yuxiao Zhang,1 Wenjie Zhang,1 Jianjian Zheng,1 Jinglu Yu2,3 1Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 2Department of Laboratory Medicine, Lishui Municipal Central Hospital, Lishui, People’s Republic of China; 3The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jinglu YuDepartment of Laboratory Medicine, Lishui Municipal Central Hospital, The Fifth Affiliated Hospital of Wenzhou Medical University, No. 289 Kuocang Road, Lishui, Zhejiang, 323000, People’s Republic of ChinaEmail [email protected] ZhengKey Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, No. 2 Fuxue Lane, Wenzhou, Zhejiang, People’s Republic of ChinaEmail [email protected]: This study was done to determine biomarkers for the prognostic prediction of hepatocellular carcinoma (HCC).Materials and Methods: In the Gene Expression Omnibus, the gene expression profiles of HCC were downloaded. Biomarkers were identified by weighted gene co-expression network analysis and protein–protein interaction network analysis.Results: There were 24 modules, which were characterized by the high correlation with HCC. Meanwhile, through enrichment analysis, differentially expressed genes were largely participated in the ubiquitination and autophagy processes. Moreover, PRC1, TOP2A and CKAP2L may be the hub genes involved in HCC tumorigenesis, and their biomarker roles were further demonstrated via Gene Expression Profiling Interactive Analysis (GEPIA) and Oncomine databases. In addition, the levels of PRC1, TOP2A and CKAP2L were obviously up-regulated in the sera of HCC patients.Conclusion: PRC1, TOP2A and CKAP2L may serve as biomarkers for the prognostic prediction of HCC patients.Keywords: hepatocellular carcinoma, biomarker, WGCNA, PPI, prognosis

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