Pyroptosis-related genes play a significant role in the prognosis of gastric cancer

Abstract

BACKGROUND Pyroptosis is an inflammatory form of programmed cell death, which has been shown to be related to the prognosis of many tumors. However, its role in gastric cancer (GC) is not fully understood. AIM To evaluate the expression of pyroptosis-related genes in GC and its correlation with prognosis. METHODS We constructed prognostic multigene markers of differentially expressed genes associated with pyroptosis by least absolute contraction and selection operator Cox regression. The risk model was analyzed by Kaplan-Meier curve, two-sided log-rank test and functional enrichment analysis. RESULTS Sixty-three pyroptosis-related genes were differentially expressed in tumor tissues and adjacent nontumor tissues. Based on these differentially expressed genes, 5 gene signature were constructed and all GC patients were classified into two risk groups. Kaplan-Meier survival curve showed that the overall survival (OS) of patients in the high-risk group was significantly lower than that of the low-risk group. Multivariate Cox regression analyses showed that the risk score was an independent risk factor for OS. Receiver operating characteristic curve analysis confirmed the predictive ability of the model. External validation indicated increased OS in the low-risk group. The immune function and immune cell scores of the high-risk group were generally higher than those of the low-risk group. CONCLUSION Pyroptosis-related genes play a significant role in tumor immune microenvironment. This novel model, which contains 5 pyroptosis-related genes, is an independent predicting factor for OS in GC patients, and may help to evaluate the prognosis of GC.

Cisplatin promotes pyroptosis of gastric cancer cells by activating GSDME

“…GSDME has the potential to be a prognostic marker for gastric cancer. Studies have shown that prediction models constructed using pyroptosis-related genes have good predictive performance in the diagnosis or prognosis of gastric cancer or immunotherapy [38][39][40][41] . Through KEGG enrichment analysis based on GESA, it was found that GSDME was negatively correlated with signal pathways such as aminoacyl-tRNA biosynthesis, DNA replication and nucleotide excision repair in gastric cancer.…”

Characteristics of Adenosine-to-Inosine RNA editing-based subtypes and novel risk score for the prognosis and drug sensitivity in stomach adenocarcinoma

“…Recently, a majority of studies have constructed massive prognostic models for STAD patients via analyzing the transcriptome datasets, of which most studies focused on annotating the transcriptomics data into known characteristics of gene sets, such as Autophagy-related genes ( Tian et al, 2022 ), Cuproptosis-related lncRNA ( Feng et al, 2022 ), Pyroptosis-related signatures ( Guan et al, 2022 ) and so on. However, there were still some limitations to expand their application in clinical practice due to the instability and collinearity of gene expression.…”

M6A methylation of FKFB3 reduced pyroptosis of gastric cancer by NLRP3

“…The impact of pyroptosis on cancer is complex, as it can both inhibit tumor growth and promote tumor development [10]. As a pro-inflammatory form of cell death, pyroptosis can create a favorable tumor microenvironment that promotes the growth of GC cells [13].…”