Zhang Jingyuan, Liu Xinkui, Zhou Wei, Lu Shan, Wu Chao, Wu Zhishan, Liu Runping, Li Xiaojiaoyang, Wu Jiarui, Liu Yingying, Guo Siyu, Jia Shanshan, Zhang Xiaomeng, Wang Miaomiao
School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Front Genet. 2021 Sep 1;12:654517. doi: 10.3389/fgene.2021.654517. eCollection 2021.
Hepatocellular carcinoma (HCC) has become the main cause of cancer death worldwide. More than half of hepatocellular carcinoma developed from hepatitis B virus infection (HBV). The purpose of this study is to find the key genes in the transformation process of liver inflammation and cancer and to inhibit the development of chronic inflammation and the transformation from disease to cancer.
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.
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.
The findings of this study have certain guiding significance for further research on the transformation of hepatitis B inflammatory cancer, inhibition of chronic inflammation, and molecular targeted therapy of cancer.
肝细胞癌（HCC）已成为全球癌症死亡的主要原因。超过一半的肝细胞癌由乙型肝炎病毒感染（HBV）发展而来。本研究的目的是寻找肝脏炎症与癌症转化过程中的关键基因，并抑制慢性炎症的发展以及疾病向癌症的转化。
选择两组GEO数据（包括正常/HBV和HBV/HBV-HCC）进行差异表达分析。对TCGA中HBV-HCC的差异表达基因进行验证，使其与上述基因一致，以获得重叠基因。然后，对关键基因进行功能富集分析、模块分析和生存分析。
我们鉴定出九个可能与乙型肝炎转化密切相关的核心基因（CDK1、MAD2L1、CCNA2、PTTG1、NEK2）。构建了由PTTG1、MAD2L1、RRM2、TPX2、CDK1、NEK2、DEPDC1和ZWINT组成的生存和预后基因标志物，其在预测总生存率方面表现良好。
本研究结果对进一步研究乙型肝炎炎症性癌症的转化、抑制慢性炎症以及癌症的分子靶向治疗具有一定的指导意义。
