Immune infiltration landscape in endometriosis.

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This study compared immune cell infiltration and ESTIMATE scores between endometriosis and normal tissue samples using CIBERSORT and ssGSEA analysis.

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This study utilized bioinformatics approaches to identify pyroptosis-related genes and characterize the immune infiltration landscape in endometriosis. The researchers compared immune cell subtype abundance, ESTIMATE scores, and ssGSEA enrichment scores between endometriosis and normal tissue subgroups using tools like CIBERSORT. Key findings highlighted distinct differences in immune cell populations and stromal-immune interactions associated with the disease state. This paper is centrally about endometriosis — specifically focusing on the immune infiltration landscape and diagnostic potential of pyroptosis-related genes within the condition.

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Abstract

A. Box plots comparing the abundance of immune cell subtypes identified by CIBERSORT between endometriosis and normal subgroups. B. Box plots comparing the ESTIMATE scores (Estimate Score, Immune Score, and Stromal Score) between endometriosis and normal subgroups. c. Box plots comparing the enrichment scores of immune cell types identified by ssGSEA between endometriosis and normal subgroups.
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Identification and diagnostic potential of pyroptosis-related genes in endometriosis: A novel bioinformatics analysis and validation Fig 10 Immune infiltration landscape in endometriosis. A. Box plots comparing the abundance of immune cell subtypes identified by CIBERSORT between endometriosis and normal subgroups. B. Box plots comparing the ESTIMATE scores (Estimate Score, Immune Score, and Stromal Score) between endometriosis and normal subgroups. c. Box plots comparing the enrichment scores of immune cell types identified by ssGSEA between endometriosis and normal subgroups.

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