GSEA of endometriosis-related genes in the combined dataset.

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Gene Set Enrichment Analysis of a combined dataset identified significant enrichment in IL1, Megakaryocytes in Obesity, IL17, IL12, and IL3 signaling pathways within endometriosis samples.

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This study employed bioinformatics analysis to identify and validate pyroptosis-related genes with diagnostic potential in endometriosis. The researchers utilized Gene Set Enrichment Analysis on a combined dataset to evaluate the impact of endometriosis on specific biological pathways, including IL1, Megakaryocytes in Obesity, IL17, IL12, and IL3 signaling. The results highlighted significant enrichment in these inflammatory and immune-related pathways within the endometriosis group compared to controls. This paper is centrally about endometriosis — specifically focusing on the role of pyroptosis and associated gene signatures in the disease pathology.

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Abstract

A. Enrichment plots for the top 4 biological functions enriched in the endometriosis group of the combined dataset. B-E. GSEA enrichment plots demonstrating the significant impact of endometriosis on the following pathways: IL1 and Megakaryocytes in Obesity (B), IL17 Pathway (C), IL12 Pathway (D) and IL3 Signaling Pathway (E). (GSEA: Gene Set Enrichment Analysis).
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Identification and diagnostic potential of pyroptosis-related genes in endometriosis: A novel bioinformatics analysis and validation Fig 7 GSEA of endometriosis-related genes in the combined dataset. A. Enrichment plots for the top 4 biological functions enriched in the endometriosis group of the combined dataset. B-E. GSEA enrichment plots demonstrating the significant impact of endometriosis on the following pathways: IL1 and Megakaryocytes in Obesity (B), IL17 Pathway (C), IL12 Pathway (D) and IL3 Signaling Pathway (E). (GSEA: Gene Set Enrichment Analysis).

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last seen: 2026-08-23T06:08:28.521490+00:00
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