Department of General Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, People's Republic of China.
Department of General Surgery, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Road, Shanghai, 200040, People's Republic of China.
Sci Rep. 2022 Nov 1;12(1):18384. doi: 10.1038/s41598-022-22864-z.
Pyroptosis is an inflammatory form of cell death, which plays a key role in the development of auto-inflammation and cancer. This study aimed to construct a pyroptosis and inflammasome-related genes for predicting prognosis of the pancreatic ductal adenocarcinoma (PDAC). This study was based primarily on the one-way analysis of variance, univariate Cox regression analysis, Least absolute shrinkage and selection operator (LASSO) Cox regression, a risk-prognostic signature, gene set variation analysis (GSVA), and immune microenvironment analysis, using PDAC data from The Cancer Genome Atlas and International Cancer Genome Consortium databases for the analysis of the role of 676 pyroptosis and inflammasome-related genes in PDAC retrieved from the Reactome and GeneCards databases. Lastly, we collected six paired PDAC and matched normal adjacent tissue samples to verify the expression of signature genes by quantitative real-time PCR (qRT-PCR). We identified 18 candidate pyroptosis and inflammasome-related genes that differed significantly between pathologic grades (stages) of PDAC patients. The univariate Cox and LASSO analyses pointed to six genes as the best variables for constructing a prognostic signature, including ACTA2, C1QTNF9, DNAH8, GATM, LBP, and NGF. The results of the risk prognostic model indicated that the AUCs at 1, 3, and 5 years were greater than 0.62. GSVA revealed that 'GLYCOLYSIS', 'P53 PATHWAY', 'KRAS SIGNALING UP', and 'INFLAMMATORY RESPONSE' hallmark gene sets were associated with the risk score. The high-risk group was associated with poor prognosis and was characterized by a lower infiltration of cells involved in anti-tumor immunity; whereas the low-risk group with higher T cells, NK cells, and macrophages showed relatively better survival and significantly higher upregulation of cytolytic scores and inflammation scores. Additionally, crucial pyroptosis and inflammasome-related genes were further validated by qRT-PCR. Our study revealed the prognostic role of the pyroptosis and inflammasome-related genes in PDAC for the first time. Simultaneously, the biological and prognostic heterogeneity of PDAC had been demonstrated, deepening our molecular understanding of this tumor.
细胞焦亡是一种炎症形式的细胞死亡,在自身炎症和癌症的发展中起着关键作用。本研究旨在构建与细胞焦亡和炎性小体相关的基因,以预测胰腺导管腺癌(PDAC)的预后。本研究主要基于单因素方差分析、单变量 Cox 回归分析、最小绝对值收缩和选择算子(LASSO)Cox 回归、风险预后特征、基因集变异分析(GSVA)和免疫微环境分析,使用来自癌症基因组图谱和国际癌症基因组联盟数据库的 PDAC 数据,分析从 Reactome 和 GeneCards 数据库中检索到的 676 个与细胞焦亡和炎性小体相关的基因在 PDAC 中的作用。最后,我们收集了六个配对的 PDAC 和匹配的正常相邻组织样本,通过定量实时 PCR(qRT-PCR)验证特征基因的表达。我们鉴定了 18 个候选的细胞焦亡和炎性小体相关基因,这些基因在 PDAC 患者的病理分级(阶段)之间有显著差异。单变量 Cox 和 LASSO 分析指出,有六个基因是构建预后特征的最佳变量,包括 ACTA2、C1QTNF9、DNAH8、GATM、LBP 和 NGF。风险预后模型的结果表明,1、3 和 5 年的 AUC 大于 0.62。GSVA 显示,'GLYCOLYSIS'、'P53 PATHWAY'、'KRAS SIGNALING UP'和'INFLAMMATORY RESPONSE'标志性基因集与风险评分相关。高风险组与预后不良相关,其特征是参与抗肿瘤免疫的细胞浸润较低;而低风险组的 T 细胞、NK 细胞和巨噬细胞较高,生存相对较好,细胞溶解评分和炎症评分显著上调。此外,通过 qRT-PCR 进一步验证了关键的细胞焦亡和炎性小体相关基因。本研究首次揭示了细胞焦亡和炎性小体相关基因在 PDAC 中的预后作用。同时,还证明了 PDAC 的生物学和预后异质性,加深了我们对这种肿瘤的分子认识。