Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Department of Endocrine and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Biomed Res Int. 2020 Jun 23;2020:4612158. doi: 10.1155/2020/4612158. eCollection 2020.
Hepatocellular carcinoma (HCC) is characterized by increased mortality and poor prognosis. We aimed to identify potential prognostic markers by weighted gene coexpression network analysis (WGCNA), to assist clinical outcome prediction and improve treatment decisions for HCC patients.
Prognosis-related gene modules were first established by WGCNA. Venn diagrams obtained intersection genes of module genes and differentially expressed genes. The Kaplan-Meier overall survival curves and disease-free survival curves of intersection genes were further analyzed on the Gene Expression Profiling Interactive Analysis website. Chi-square tests were performed to explore the associations between prognostic gene expressions and clinicopathological features.
, , and were identified as both prognosis-related genes and differentially expressed genes. (HR: 1.7, = 0.003) and (HR: 1.8, < 0.001) exhibited a significant difference between the high- and low-expression groups in the overall survival analysis, while (HR: 1.4, = 0.052) was not statistically significant. (HR: 1.5, = 0.006), (HR: 1.7, < 0.001), and (HR: 1.6, = 0.003) were all statistically significant in the disease-free survival analysis. All three genes were significantly associated with race and fetoprotein values ( < 0.05). expression was associated with tumor stage ( = 0.01), and expression was associated with new tumor events ( = 0.03).
Overexpression of , and are associated with poor prognosis, and these genes could serve as potential prognostic markers and therapeutic targets for HCC.
肝细胞癌（HCC）的特点是死亡率高和预后差。我们旨在通过加权基因共表达网络分析（WGCNA）来识别潜在的预后标志物，以协助预测临床结果并改善 HCC 患者的治疗决策。
首先通过 WGCNA 建立与预后相关的基因模块。通过 Venn 图获取模块基因和差异表达基因的交集基因。进一步在基因表达谱交互分析网站上分析交集基因的 Kaplan-Meier 总体生存曲线和无病生存曲线。通过卡方检验探索预后基因表达与临床病理特征之间的关系。
鉴定出 、 和 既是预后相关基因，也是差异表达基因。在总体生存分析中， （HR：1.7， = 0.003）和 （HR：1.8，<0.001）在高表达组和低表达组之间表现出显著差异，而 （HR：1.4， = 0.052）则无统计学意义。在无病生存分析中， （HR：1.5， = 0.006）、 （HR：1.7，<0.001）和 （HR：1.6， = 0.003）均具有统计学意义。这三个基因均与种族和甲胎蛋白值显著相关（<0.05）。 表达与肿瘤分期相关（ = 0.01），而 表达与新发肿瘤事件相关（ = 0.03）。
、 和 的过表达与预后不良相关，这些基因可能成为 HCC 的潜在预后标志物和治疗靶点。
