{"paper_id":"5137e29d-8aa7-4ef6-be19-c8ecaa7e39e3","body_text":"Abstract\nPurpose\nThis study aimed to explore whether estrogen-related receptors α (ERRα) can prognosticate the occurrence and development of ovarian endometriosis (EMs) as a non-invasive biomarker.\nMethods\nThe ectopic and its’ correspond eutopic endometria from 47 patients with ovarian EMs and the control normal endometria from 32 cases were collected and detected the mRNA expression of ERRα by RT-qPCR. The serum protein of ERRα were tested by ELISA. The menstrual cycle, ovarian cyst sizes, relative clinical tumour markers, such as CA125, CA19-9 and HE-4, and other demographic data were also involved into analysis in these patients by SPSS 22.0 (IBM, Chicago, IL, USA).\nResults\nThe ERRα mRNA expression in ectopic endometria were significantly lower than it in eutopic endometria (P < 0.05) and the normal endometria (P < 0.05). Similarly, the serum ERRα levels in patients with EMs were significantly lower than it in control group (P < 0.01). Moreover, the serum ERRα levels were decreasing with the increasing of the pathological stages and ovarian cyst sizes. While, the serum CA125, CA19-9, CA125/ERRα ratio and CA19-9/ERRα ratio in the study group were significantly higher than those in the control group (all P < 0.01).\nConclusion\nThe expression of ERRα is correlated with the development of ovarian EMs pathological stages and ovarian cyst sizes and can be used as a novel and non-invasive biomarker for evaluating the progression of ovarian EMs.\nSimilar content being viewed by others\nReferences\nGiudice LC (2010) Clinical practice. Endometriosis. N Engl J Med 362:2389–2398\nVercellini P, Vigano P, Somigliana E, Fedele L (2014) Endometriosis: pathogenesis and treatment. 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Cancer Res 58:5695–5700\nFunding\nThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\nAuthor information\nAuthors and Affiliations\nContributions\nCL: study designation and manuscript writing; YJC: manuscript writing and statistical analysis; MC: data interpretation; XDM: laboratory analysis; BHD: statistical analysis; PMS: critically revised the article and supervised the study.\nCorresponding author\nEthics declarations\nConflict of interest\nThe authors have no conflict of interest to declare.\nEthical approval\nThe study was approved by our institutional review board (2016-038).\nInformed consent\nInformed consent was obtained from all individual participants included in the study.\nAdditional information\nPublisher's Note\nSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.\nRights and permissions\nAbout this article\nCite this article\nLiu, C., Chen, Y., Chen, M. et al. A novel non-invasive molecular biomarker in ovarian endometriosis: estrogen-related receptor α. Arch Gynecol Obstet 302, 405–414 (2020). https://doi.org/10.1007/s00404-020-05611-5\nReceived:\nAccepted:\nPublished:\nVersion of record:\nIssue date:\nDOI: https://doi.org/10.1007/s00404-020-05611-5","source_license":"CC0","license_restricted":false}