Integrated Analysis of Lactate-Related Genes Identifies S100A4 as a Novel Marker Promoting the Migration and Invasion of Endometrial Stromal Cell in Endometriosis

Xiuping Wang, Yue Chen, Qingyue Wu, Xiwen Wang, Yanyun Wu, Hengwei Liu
Reproductive sciences (Thousand Oaks, Calif.) · 2025 · vol. 32(8) , pp. 2558–2573 · doi:10.1007/s43032-025-01914-7 · PMID:40640588 · W4412161046
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⚙ AI-generated summary by claude@2026-06+body, 2026-06-06 ⓘ

This study identified S100A4 as a novel marker upregulated in endometriosis that promotes endometrial stromal cell migration and invasion.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-06 ⓘ

This paper studied lactate metabolism–related gene expression in endometriosis patients using differential expression analysis followed by LASSO and Random Forest feature selection, identifying five key genes (MRPS2, YARS2, SLC3A1, CALD1, and S100A4) as accurate diagnostic markers; it also analyzed regulatory activity, immune infiltration associations, and built an lncRNA–miRNA–gene regulatory network. The authors report that S100A4 is significantly upregulated in endometriosis lesions and is linked to metabolic reprogramming and invasion-related behavior. Functionally, silencing S100A4 in endometrial stromal cells reduced migration and invasion, while overexpression reversed this inhibition. A key caveat is that the paper’s diagnostic and mechanistic conclusions rely on bioinformatic analyses and in vitro cell experiments, without explicit confirmation of in vivo therapeutic efficacy. This paper is centrally about endometriosis — it identifies lactate-related S100A4 as a marker and regulator of endometrial stromal cell migration and invasion in endometriosis.

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Abstract

Endometriosis is a prevalent gynecological disorder worldwide that significantly impairs the quality of life of patients and imposes a substantial economic burden. The limited efficacy and adverse effects of current pharmacological and surgical treatments highlight the urgent need for alternative diagnostic biomarkers and therapeutic targets. Recent evidence indicates that metabolic reprogramming, particularly lactate metabolism, plays a crucial role in the development and progression of endometriosis. In this study, we employed differential expression analysis to identify differentially expressed genes in endometriosis patients, and used Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest (RF) for feature selection and model construction. Five key genes (MRPS2, YARS2, SLC3A1, CALD1, and S100A4) were validated as highly accurate diagnostic markers. Furthermore, we conducted in-depth analysis of the regulatory activity of these key lactate metabolism-related genes and their association with immune infiltration. Additionally, we constructed a lncRNA-miRNA gene regulatory network, providing insights into the molecular mechanisms and potential therapeutic strategies. Among these key lactate metabolism-related genes, S100A4 was found to be significantly upregulated in the lesions of endometriosis and plays a pivotal role in regulating cellular invasion and metabolic reprogramming in endometriosis. Silencing of S100A4 significantly inhibited the migration and invasion ability of endometrial stromal cells, whereas overexpression of S100A4 reversed this inhibitory effect. This finding further underscores the importance of S100A4 as a potential therapeutic target. In conclusion, this study highlights the potential value of lactate-related genes as diagnostic biomarkers and therapeutic targets, especially targeting the S100A4 gene in endometrial stromal cells, which may serve as an effective therapeutic strategy to inhibit the progression of endometriosis, offering new directions for future clinical diagnosis and treatment.

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Condition tags

endometriosis

MeSH descriptors

Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Cell Movement Endometriosis Endometriosis Endometriosis Endometriosis

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (33)

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