Endometriosis (EM) is a chronic inflammatory disease, affecting 10% of women and girls of reproductive ages around the globe. Pyroptosis ,a type of pro-inflammatory programmed cell death (PCD), has been associated with EM in recent studies.However,the expression of pyroptosis-related genes (PRGs) in EM and its relationship with diagnosis and prognosis are not clear.In this study,it was discovered that 32 PRGs differed in expression between EM and normal tissues, which were related to diagnosis and prognosis. Firstly, ROC analysis of a single gene was performed based on PRGs ,and then subjected to the corresponding multiomics analysis, prognostic analysis and diagnostic analysis. Secondly,the gene expression profiles of EM group dataset were consistently grouped based on PRGs by the consencesClusterPlus package. Pheatmaps were used to construct a principal component analysis (PCA) diagram of the dataset to determine the potential diagnostic value of these genes and to determine their expression patterns in different subtypes.Thirdly,The Gene ontology (GO) and Kyoto Encylopedia of Genes and Genomes (KEGG) were used for functional enrichment analysis. The results suggested that the risk was related to immune response. In conclusion, PRGs have an important roles in tumour immunity and can be used to predict the prognosis of EM.