Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis.
Abstract | BACKGROUND: METHODS: Two groups of GEO data (including normal/HBV and HBV/HBV-HCC) were selected for differential expression analysis. The differential expression genes of HBV-HCC in TCGA were verified to coincide with the above genes to obtain overlapping genes. Then, functional enrichment analysis, modular analysis, and survival analysis were carried out on the key genes. RESULTS: We identified nine central genes (CDK1, MAD2L1, CCNA2, PTTG1, NEK2) that may be closely related to the transformation of hepatitis B. The survival and prognosis gene markers composed of PTTG1, MAD2L1, RRM2, TPX2, CDK1, NEK2, DEPDC1, and ZWINT were constructed, which performed well in predicting the overall survival rate. CONCLUSION:
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Authors | Jingyuan Zhang, Xinkui Liu, Wei Zhou, Shan Lu, Chao Wu, Zhishan Wu, Runping Liu, Xiaojiaoyang Li, Jiarui Wu, Yingying Liu, Siyu Guo, Shanshan Jia, Xiaomeng Zhang, Miaomiao Wang |
Journal | Frontiers in genetics
(Front Genet)
Vol. 12
Pg. 654517
( 2021)
ISSN: 1664-8021 [Print] Switzerland |
PMID | 34539726
(Publication Type: Journal Article)
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Copyright | Copyright © 2021 Zhang, Liu, Zhou, Lu, Wu, Wu, Liu, Li, Wu, Liu, Guo, Jia, Zhang and Wang. |
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