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Thirteen differentially expressed ARGs (DEARGs) were identified. Functional enrichment (GO\/KEGG), immune infiltration profiling (CIBERSORT), and machine learning models were used to screen for hub biomarkers. Diagnostic potential was validated using ROC and nomogram analyses. ceRNA, drug-gene, and transcription factor networks were constructed. Pancancer expression and immune relevance were assessed using TCGA, and gene function was validated through MGI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Two ARGs, GSTP1 and LPCAT1, were identified as robust diagnostic markers (AUC\u2009&gt;\u20090.80). These genes were significantly associated with immunosuppressive cell infiltration (e.g., elevated M2 macrophages, reduced CD8\u207a T cells). GSEA linked both genes to apoptosis, PI3K signaling, and immune pathways. MGI validation revealed that\n                      <jats:italic>GSTP1<\/jats:italic>\n                      and\n                      <jats:italic>LPCAT1<\/jats:italic>\n                      are involved in reproductive and metabolic regulation in murine models, supporting their functional relevance to PCOS. Drug prediction analyses identified resveratrol, curcumin, and vitamin E as potential therapeutics.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      This is the first exploratory study to identify\n                      <jats:italic>GSTP1<\/jats:italic>\n                      and\n                      <jats:italic>LPCAT1<\/jats:italic>\n                      as potential diagnostic biomarkers for PCOS, validated across multi-omics platforms and functional databases. These findings highlight a novel anoikis-immunity axis in PCOS and suggest new directions for biomarker-guided therapy.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s43032-025-01917-4","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T12:16:34Z","timestamp":1750767394000},"page":"2404-2422","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Transcriptomic Profiling Reveals Potential Genes Involved in the Immune Landscape of Polycystic Ovary Syndrome: An Exploratory Study"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7238-1013","authenticated-orcid":false,"given":"Ye","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zebo","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junda","family":"Lai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2124-1837","authenticated-orcid":false,"given":"Huiqiong","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,6,24]]},"reference":[{"key":"1917_CR1","doi-asserted-by":"publisher","unstructured":"Stener-Victorin E, Teede H, Norman RJ, Legro R, Goodarzi MO, Dokras A, Laven J, Hoeger K, Piltonen TT. 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