程序性细胞死亡(PCD)被认为在肿瘤中具有多种作用。在此,全面分析PCD相关基因的作用,以评估其在肝细胞癌(HCC)诊断和预后中的价值。从公共数据库收集HCC患者的基因表达和单细胞数据以及PCD相关基因。通过单变量和多变量 Cox 回归分析探讨差异表达的 PCD 相关基因在 HCC 中的诊断和预后作用。进一步分析单细胞数据的免疫细胞和特征基因的表达。最后,我们通过实时定量聚合酶链式反应和蛋白质印迹评估基因的表达,并通过流式细胞术检测HCC样本中免疫细胞的比例。我们获得了HCC中52个差异表达的PCD相关基因,据此进行共识聚类分析,发现聚类2比聚类1的预后更差。然后使用LASSO分析和程序性细胞死亡指数(PCDI)鉴定出10个特征基因计算将 HCC 患者分为高 PCDI 组和低 PCDI 组。高 PCDI 组的预后较差。 Cox回归分析显示PCDI是HCC患者的独立预后危险因素。此外,特征基因的SERPINE1和G6PD显着影响患者的生存。巨噬细胞和Treg细胞与PCDI呈显着正相关。 G6PD主要表达于巨噬细胞,SERPINE1主要表达于成纤维细胞。实验结果证实HCC中SERPINE1和G6PD较对照高表达,且HCC中巨噬细胞和Treg浸润水平也明显升高。 PCDI可能是诊断HCC患者的新预测因子。 SERPINE1和G6PD与免疫环境的关联将为HCC治疗提供新线索。
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Diagnostic role and immune correlates of programmed cell death-related genes in hepatocellular carcinoma
Programmed cell death (PCD) is thought to have multiple roles in tumors. Here, the roles of PCD-related genes were comprehensively analyzed to evaluate their values in hepatocellular carcinoma (HCC) diagnosis and prognosis. Gene expression and single-cell data of HCC patients, and PCD-related genes were collected from public databases. The diagnostic and prognostic roles of differentially expressed PCD-related genes in HCC were explored by univariate and multivariate Cox regression analyses. Single-cell data were further analyzed for the immune cells and expression of feature genes. Finally, we evaluated the expression of genes by quantitative real-time polymerase chain reaction and Western blot, and the proportion of immune cells was detected by flow cytometry in HCC samples. We obtained 52 differentially expressed PCD-related genes in HCC, based on which the consensus clustering analysis cluster 2 was found to have a worse prognosis than cluster 1. Then 10 feature genes were identified using LASSO analysis, and programmed cell death index (PCDI) was calculated to divided HCC patients into high-PCDI and low-PCDI groups. Worse prognosis was observed in high-PCDI group. Cox regression analysis showed that PCDI is an independent prognostic risk factor for HCC patients. Additionally, SERPINE1 and G6PD of feature genes significantly affect patient survival. Macrophages and Tregs were significantly positively correlated with PCDI. G6PD mainly expressed in macrophages, SERPINE1 mainly expressed in fibroblast. The experimental results confirmed the high expression of SERPINE1 and G6PD in HCC compared with the control, and the infiltration level of macrophages and Treg in HCC was also obviously elevated. PCDI may be a new predictor for the diagnosis of patients with HCC. The association of SERPINE1 and G6PD with the immune environment will provide new clues for HCC therapy.