Identification of endometriosis subtypes based on KMG expression.

Li Wang (15202), Piaopiao Teng (24156956), Jiawen Chen (589546), Caiyun Ding (24156959), Xianchen Luo (24156962), Chang Su (170990), Guantai Ni (18391751), Yuanyuan Lyu (5278652), Jin Ding (11522)
2026 · doi:10.1371/journal.pone.0350751.g011 · W7164337679
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This study identified three distinct endometriosis subtypes using consensus clustering based on Key Module Gene expression profiles, as demonstrated by stable cluster matrices and principal component analysis.

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This study utilized bioinformatics analysis to identify pyroptosis-related genes and establish diagnostic potential within endometriosis. The researchers performed consensus clustering on endometriosis samples, which revealed three distinct subtypes characterized by specific expression patterns of Key Module Genes (KMGs). Validation through principal component analysis and heatmap visualizations confirmed the stability and separation of these identified molecular subtypes. This paper is centrally about endometriosis — specifically focusing on the identification of disease subtypes based on KMG expression derived from pyroptosis-related gene analysis.

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Abstract

A. Consensus clustering matrix for endometriosis samples, demonstrating the stability of the identified subtypes. B. Consistent Cumulative Distribution Function (CDF) plot for the consensus clustering analysis, indicating the optimal number of clusters. C. PCA plot visualizing the separation of the three identified endometriosis subtypes. D. Heatmap depicting the expression levels of KMGs across the three endometriosis subtypes. E. Violin plots of KMG expression levels within each of the three endometriosis subtypes. (KMG: Key Module Gene).
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Identification and diagnostic potential of pyroptosis-related genes in endometriosis: A novel bioinformatics analysis and validation Fig 11 Identification of endometriosis subtypes based on KMG expression. A. Consensus clustering matrix for endometriosis samples, demonstrating the stability of the identified subtypes. B. Consistent Cumulative Distribution Function (CDF) plot for the consensus clustering analysis, indicating the optimal number of clusters. C. PCA plot visualizing the separation of the three identified endometriosis subtypes. D. Heatmap depicting the expression levels of KMGs across the three endometriosis subtypes. E. Violin plots of KMG expression levels within each of the three endometriosis subtypes. (KMG: Key Module Gene).

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