External validation of putative biomarkers in eutopic endometrium of women with endometriosis using NanoString technology

Purpose To combine different independent endometrial markers to classify the presence of endometriosis.

Endometrial biopsies were obtained from 109 women with endometriosis as well as 110 control women. Nine candidate biomarkers independent of cycle phase were selected from the literature and NanoString was performed. We compared differentially expressed genes between groups and generated generalized linear models to find a classifier for the disease.

Generalized linear models correctly detected 68% of women with endometriosis (combining deep infiltrating and ovarian endometriosis). However, we were not able to distinguish between individual types of endometriosis compared to controls. From the 9 tested genes, FOS, MMP7, and MMP11 seem to be important for disease classification, and FOS was the most over-expressed gene in endometriosis. Conclusion(s) Although generalized linear models may allow identification of endometriosis, we did not obtain perfect classification with the selected gene candidates. Similar content being viewed by others

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Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Electronic supplementary material Supplemental Figure 1 (download JPG ) Scatter plots of control patients. The graphs represent the number of copies detected in Nanostring per each gene in the control group. P Value (unpaired T-test) compares the expression of controls who underwent laparoscopy and who did not undergo the procedure. (JPG 104 kb). ESM 2 (download DOCX ) (DOCX 60 kb). ESM 3 (download DOCX ) (DOCX 13 kb). Rights and permissions About this article Cite this article Vallvé-Juanico, J., López-Gil, C., Ponomarenko, J. et al. External validation of putative biomarkers in eutopic endometrium of women with endometriosis using NanoString technology. J Assist Reprod Genet 37, 2981–2987 (2020). https://doi.org/10.1007/s10815-020-01965-6 Received: Accepted: Published: Version of record: Issue date: DOI: https://doi.org/10.1007/s10815-020-01965-6