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Int J Med Sci 2023; 20(3):415-428. doi:10.7150/ijms.79516 This issue Cite

Research Paper

Bioinformatics-based analysis of the roles of sex hormone receptors in endometriosis development

Xiaoling Zhao1, Weimin Kong1✉, Chunxiao Zhou2, Boer Deng1,2, He Zhang1, Huimin Guo1, Shuning Chen1, Zhendong Pan1

1. Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China.
2. Division of Gynecologic Oncology and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

✉ Corresponding author: Weimin Kong. E-mail address: kwm1967edu.cn

Citation:
Zhao X, Kong W, Zhou C, Deng B, Zhang H, Guo H, Chen S, Pan Z. Bioinformatics-based analysis of the roles of sex hormone receptors in endometriosis development. Int J Med Sci 2023; 20(3):415-428. doi:10.7150/ijms.79516. https://www.medsci.org/v20p0415.htm
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Abstract

Graphic abstract

Endometriosis is a hormone-dependent disease in women of reproductive age and seriously affects women's health. To analyze the involvement of sex hormone receptors in endometriosis development, we performed bioinformatics analysis using four datasets derived from the Gene Expression Omnibus (GEO) database, which may help us understand the mechanisms by which the sex hormones act in vivo in endometriosis patients. The enrichment analysis and protein-protein interaction (PPI) analysis of the differentially expressed genes (DEGs) revealed that there are different key genes and pathways involved in eutopic endometrium aberrations of endometriosis patients and endometriotic lesions, and sex hormone receptors, including androgen receptor (AR), progesterone receptor (PGR) and estrogen receptor 1 (ESR1), may play important roles in endometriosis development. Androgen receptor (AR), as the hub gene of endometrial aberrations in endometriotic patients, showed positive expression in the main cell types for endometriosis development, and its decreased expression in the endometrium of endometriotic patients was also confirmed by immunohistochemistry (IHC). The nomogram model established based on it displayed good predictive value.

Keywords: Endometriosis, Hormone receptor, Bioinformatics analysis

Citation styles

APA
Zhao, X., Kong, W., Zhou, C., Deng, B., Zhang, H., Guo, H., Chen, S., Pan, Z. (2023). Bioinformatics-based analysis of the roles of sex hormone receptors in endometriosis development. International Journal of Medical Sciences, 20(3), 415-428. https://doi.org/10.7150/ijms.79516.

ACS
Zhao, X.; Kong, W.; Zhou, C.; Deng, B.; Zhang, H.; Guo, H.; Chen, S.; Pan, Z. Bioinformatics-based analysis of the roles of sex hormone receptors in endometriosis development. Int. J. Med. Sci. 2023, 20 (3), 415-428. DOI: 10.7150/ijms.79516.

NLM
Zhao X, Kong W, Zhou C, Deng B, Zhang H, Guo H, Chen S, Pan Z. Bioinformatics-based analysis of the roles of sex hormone receptors in endometriosis development. Int J Med Sci 2023; 20(3):415-428. doi:10.7150/ijms.79516. https://www.medsci.org/v20p0415.htm

CSE
Zhao X, Kong W, Zhou C, Deng B, Zhang H, Guo H, Chen S, Pan Z. 2023. Bioinformatics-based analysis of the roles of sex hormone receptors in endometriosis development. Int J Med Sci. 20(3):415-428.

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