Department of Liver Surgery, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
Mol Med. 2022 Feb 5;28(1):16. doi: 10.1186/s10020-022-00445-0.
Hepatocellular carcinoma (HCC) remains one of the most common malignant tumors with poor survival. Pyroptosis is a kind of programmed cell death that can regulate the proliferation, invasion, and metastasis of tumor cells. However, the expression levels of pyroptosis-related genes (PRGs) in HCC and their relationship with prognosis are still unclear.
Our study identified 35 PRGs through bioinformatics analysis that were differentially expressed between tumor samples and nontumor samples. According to these differentially expressed genes, HCC patients could be divided into two groups, cluster 1 and cluster 2. The least absolute shrinkage and selection operator (LASSO) Cox regression method was performed to construct a 10-gene signature that classified HCC patients in the cancer genome atlas (TCGA) database into low-risk and high-risk groups.
The results showed that the survival rate of HCC patients in the low-risk group was significantly higher than that in the high-risk group (p < 0.001). The validation cohort, the Gene Expression Omnibus (GEO) cohort, was divided into two risk groups based on the median risk score calculated by the TCGA cohort. The overall survival (OS) of the low-risk group was significantly better than that of the high-risk group (p = 0.007). Univariate and multivariate Cox regression analyses revealed that the risk score was an independent factor in predicting OS in HCC patients. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that immune-related high-risk groups were rich in genes and had reduced immune status.
PRGs play a significant role in tumor immunity and have the potential capability to predict the prognosis of HCC patients.
肝细胞癌(HCC)仍然是最常见的恶性肿瘤之一,患者生存状况较差。细胞焦亡是一种程序性细胞死亡,可以调节肿瘤细胞的增殖、侵袭和转移。然而,HCC 中细胞焦亡相关基因(PRGs)的表达水平及其与预后的关系尚不清楚。
我们通过生物信息学分析鉴定了 35 个差异表达的 PRGs,这些基因在肿瘤样本和非肿瘤样本之间存在差异。根据这些差异表达基因,HCC 患者可分为两组,即聚类 1 和聚类 2。最小绝对收缩和选择算子(LASSO)Cox 回归方法构建了一个 10 基因特征,可将癌症基因组图谱(TCGA)数据库中的 HCC 患者分为低风险和高风险组。
结果表明,低风险组 HCC 患者的生存率明显高于高风险组(p<0.001)。验证队列,基因表达综合数据库(GEO)队列,根据 TCGA 队列计算的中位风险评分分为两个风险组。低风险组的总生存期(OS)明显优于高风险组(p=0.007)。单因素和多因素 Cox 回归分析表明,风险评分是预测 HCC 患者 OS 的独立因素。基因本体论和京都基因与基因组百科全书分析表明,免疫相关的高风险组富含基因,免疫状态降低。
PRGs 在肿瘤免疫中发挥重要作用,有可能预测 HCC 患者的预后。