Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University , Jinan, China.
Central Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University , Jinan, China.
Bioengineered. 2021 Dec;12(1):240-251. doi: 10.1080/21655979.2020.1866303.
Hepatocellular carcinoma (HCC) is a liver disease with a complex underlying mechanism, and patients with HCC have low survival rates. Iron metabolism plays a crucial role in the pathogenesis of HCC; however, the prognostic value of iron metabolism-related and methylated genes for HCC needs to be further explored. In the present study, we identified differentially expressed genes (DEGs) that play a role in iron metabolism and DNA methylation in HCC from The Cancer Genome Atlas. Four of these DEGs, whose expression levels are correlated with HCC prognosis, namely, RRM2, FTCD, CYP2C9, and ATP6V1C1, were further used to construct a prognostic model for HCC, wherein the risk score was calculated using the gene expression of the four DEGs. This could be used to predict the overall survival of HCC patients for 1, 3, and 5 years. Results of a multivariate Cox regression analysis further indicated that the risk score was an independent variable correlated with the prognosis of HCC patients. The identified gene signature was further validated using an independent cohort of HCC patients from the International Cancer Genome Consortium. Weighted gene co-expression network analysis and gene set enrichment analysis were performed to identify potential regulatory mechanisms of the gene signature in HCC. Taken together, we identified key prognostic factors of iron metabolism-related and methylated genes for HCC, providing a potential treatment strategy for HCC.
肝细胞癌 (HCC) 是一种肝脏疾病,其发病机制复杂,HCC 患者的生存率较低。铁代谢在 HCC 的发病机制中起着至关重要的作用;然而,铁代谢相关和甲基化基因对 HCC 的预后价值需要进一步探索。在本研究中,我们从癌症基因组图谱中鉴定了在 HCC 中发挥作用的铁代谢和 DNA 甲基化的差异表达基因 (DEGs)。其中四个 DEGs 的表达水平与 HCC 的预后相关,即 RRM2、FTCD、CYP2C9 和 ATP6V1C1,进一步用于构建 HCC 的预后模型,其中风险评分是使用四个 DEGs 的基因表达计算得出的。这可以用于预测 HCC 患者的总生存期为 1、3 和 5 年。多变量 Cox 回归分析的结果进一步表明,风险评分是与 HCC 患者预后相关的独立变量。使用来自国际癌症基因组联盟的 HCC 患者的独立队列进一步验证了所识别的基因特征。进行了加权基因共表达网络分析和基因集富集分析,以鉴定 HCC 中基因特征的潜在调节机制。总之,我们确定了 HCC 中铁代谢相关和甲基化基因的关键预后因素,为 HCC 提供了一种潜在的治疗策略。