{"paper_id":"55d50fe5-9650-40bd-9646-498fd823a691","body_text":"Abstract\nEndometriosis (EMs) is a common chronic inflammatory gynecological disorder. But the exact pathogenetic mechanism of the disease is not clear, with some theories proposing that the disease is caused by the interaction of endocrine, immune, and genetic factors. Based on the GEO databases, we conducted an analysis employing DEGs, WGCNA, and machine learning. Using bulk RNA-seq and scRNA-seq data, we identified PDGFRA as a core gene. We found that PDGFRA was overexpressed in EMs tissues, and its expression increases with advanced stages of the disease. Interestingly, PDGFRA is predominantly expressed in the stromal cells of the endometrium, and the spatial transcriptome analysis revealed PDGFRA overexpression at the center of ectopic lesions regions. And the virtual knockout of PDGFRA affected the mesenchymal cell differentiation, focal adhesion and apoptosis of stromal cells. Additionally, PDGFRA influenced hypoxia, p53 signaling, and various immune cells. Moreover, basic experiments showed that inhibiting PDGFRA expression resulted in suppressed migration and invasion of stromal cells. In summary, PDGFRA emerges as a potential biomarker favoring cell growth, proliferation, differentiation, and anti-apoptotic, suggesting its promise as a therapeutic target in EMs.\nSimilar content being viewed by others\nData Availability\nThe datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.\nReferences\nDe Ziegler D, Borghese B, Chapron C. Endometriosis and infertility: pathophysiology and management. Lancet. 2010;376(9742):730–8. Available from: https://pubmed.ncbi.nlm.nih.gov/20801404/. Cited 2024 May 11.\nGiudice LC, Kao LC. Endometriosis. Lancet. 2004;364(9447):1789–99. Available from: https://pubmed.ncbi.nlm.nih.gov/15541453/. Cited 2023 May 31.\nZondervan KT, Becker CM, Missmer SA. 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Available from: https://pubmed.ncbi.nlm.nih.gov/30110635/. Cited 2024 May 11.\nAcknowledgements\nWe thank all the GEO databases.\nFunding\nThis study was supported in part by a grant from the National Natural Science Foundation of China (#81873826).\nAuthor information\nAuthors and Affiliations\nContributions\nShengnan Chen: Conceptualization, Data curation, Writing – original draft, Writing – review and editing. Ying Jiang: Validation. Xianqing Wu: Funding acquisition, Writing – original draft. Xiaoshan Chai: Data curation, Software, Writing – original draft.\nCorresponding authors\nEthics declarations\nEthics and consent declarations\nThe study was approved by the Medical Ethics Committee of the Second Xiangya Hospital of Central South University (#2020–065). All participants provided written informed consent to participate in the study and for their data to be published.\nConflicts of interest\nThe authors declare that they have no conflict of interest.\nAdditional information\nPublisher's Note\nSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.\nSupplementary Information\nBelow is the link to the electronic supplementary material.\nRights and permissions\nSpringer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.\nAbout this article\nCite this article\nChen, S., Jiang, Y., Chai, X. et al. Identification of a Potential Biomarker PDGFRA for Endometriosis Based on Comprehensive Analysis of Multiple Omics Data. Reprod. Sci. 33, 358–371 (2026). https://doi.org/10.1007/s43032-025-02049-5\nReceived:\nAccepted:\nPublished:\nVersion of record:\nIssue date:\nDOI: https://doi.org/10.1007/s43032-025-02049-5","source_license":"public-domain-us","license_restricted":false}