Department of Gastroenterology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China.
Cancer Med. 2023 Jan;12(1):808-823. doi: 10.1002/cam4.4898. Epub 2022 Jun 1.
Pyroptosis is a unique inflammatory-related cell death process, and inflammation is considered to be a key factor in hepatocellular carcinoma (HCC). However, the pyroptosis landscape in HCC has not been thoroughly studied.
Clinical data and RNA sequencing data of HCC patients were collected from The Cancer Genome Atlas database, and differentially expressed genes (DEGs) associated with pyroptosis were discovered. The relationship between DEGs and prognosis was studied. Using The Cancer Genome Atlas cohort, a least absolute shrinkage and selection operator regression model was built on the basis of pyroptosis-related DEGs, which was then verified by the Gene Expression Omnibus (GEO) cohort. Functional enrichment analysis and immunological states were also studied between distinct risk subgroups. Finally, the potential tumor suppressive function of NLRP6 in HCC was analyzed.
In total, 26 pyroptosis-related DEGs were identified. Consensus clustering results showed patients with high levels of pyroptosis were associated with higher tumor stage, grade, and poor prognosis. The least absolute shrinkage and selection operator risk model was built using six genes linked with prognosis (GSDMC, GSDME, NOD2, NLRP6, CASP8, and SCAF11). Risk score was an independent risk factor that suggested shortened overall survival in both the training cohort (HR: 3.52, 95% CI: 1.351-9.193) and validation cohort (HR: 3.31, 95% CI: 1.435-7.617). Meanwhile, the low-risk population had higher immunological activity. We also found a novel potential tumor suppressor gene NLRP6, which may negatively regulate the E2F and MYC pathways and be associated with higher immune cell infiltration levels, which lead to better prognosis.
This study revealed the pyroptosis landscape of HCC and provided a promising clinical prognosis evaluation model. Additionally, some new targets related to prognosis such as NLRP6 are proposed for further study.
细胞焦亡是一种独特的炎症相关细胞死亡过程,炎症被认为是肝细胞癌(HCC)的关键因素。然而,HCC 中的细胞焦亡景观尚未得到彻底研究。
从癌症基因组图谱(TCGA)数据库中收集 HCC 患者的临床数据和 RNA 测序数据,并发现与细胞焦亡相关的差异表达基因(DEGs)。研究 DEGs 与预后的关系。基于 TCGA 队列,使用最小绝对收缩和选择算子(LASSO)回归模型构建基于细胞焦亡相关 DEGs 的模型,然后使用基因表达综合数据库(GEO)队列进行验证。还研究了不同风险亚组之间的功能富集分析和免疫状态。最后,分析了 NLRP6 在 HCC 中的潜在肿瘤抑制功能。
共鉴定出 26 个与细胞焦亡相关的 DEGs。共识聚类结果表明,高水平细胞焦亡的患者与较高的肿瘤分期、分级和预后不良相关。使用与预后相关的六个基因(GSDMC、GSDME、NOD2、NLRP6、CASP8 和 SCAF11)构建 LASSO 风险模型。风险评分是一个独立的预后危险因素,在训练队列(HR:3.52,95%CI:1.351-9.193)和验证队列(HR:3.31,95%CI:1.435-7.617)中均提示总生存期缩短。同时,低风险人群具有更高的免疫活性。我们还发现了一个新的潜在肿瘤抑制基因 NLRP6,它可能负调控 E2F 和 MYC 通路,并与更高的免疫细胞浸润水平相关,从而导致更好的预后。
本研究揭示了 HCC 中的细胞焦亡景观,并提供了一种有前途的临床预后评估模型。此外,还提出了一些与预后相关的新靶点,如 NLRP6,以供进一步研究。