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Molecular mechanisms underlying endometriosis pathogenesis revealed by bioinformatics analysis of microarray data

  • General Gynecology
  • Published:
Archives of Gynecology and Obstetrics Aims and scope Submit manuscript

Abstract

Objective

To identify differentially expressed genes (DEGs) in endometriosis and further analyze molecular mechanisms implicated in disease pathogenesis.

Materials and methods

Gene expression data (ID: GSE7846) of human endometrial endothelial cells (HEECs) collected from eutopic endometria tissue of patients with and without endometriosis were downloaded from Gene Expression Omnibus. DEGs were screened using Limma package, followed by enrichment analysis using clusterProfiler package in R. Thereafter, protein–protein interactions (PPIs) were analyzed using STRING (Search Tool for the Retrieval of Interacting Genes) database and visualized by Cytoscape software. Meanwhile, transcription factors were screened from the DEGs based on TRANSFA database, followed by construction of regulatory network using Cytoscape.

Results

A total of 2255 up- and 408 down-regulated genes were identified in endometriosis patients as compared with control patients. Those DEGs were predominantly enriched in focal adhesion (e.g., FN1, EGF, FYN, EGFR, RAC1, CCND1 and JUN), regulation of actin cytoskeleton (e.g., FN1, EGF, EGFR, RAC1 and JUN) and MAPK signaling pathway (e.g., EGF, EGFR, RAC1, JUN, TGFB1 and MYC). Importantly, EGF, EGFR, JUN, FN1, RAC1, TGFB1, CCND1 and FYN were hub nodes in the PPI network. Additionally, TGFB1, SMAD1 and SMAD4 showed up-regulation in TGFB signaling pathway. Transcription factor MYC had a regulatory effect on the most DEGs, including TGFB1, RAC1 and CCND1.

Conclusions

Focal adhesion, regulation of actin cytoskeleton, MAPK and TGFB/SMAD signaling pathway may be important molecular mechanism underlying the pathogenesis of endometriosis.

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Authors and Affiliations

  1. Department of Gynecology, Shanghai Changning Maternity and Infant Health Hospital, 773Wuyi Road, Shanghai, 200050, China

    Shengmin Ping, Chengbin Ma, Ping Liu, Longtao Yang & Qiongwei Wu

  2. Department of Clinical Laboratory, Shanghai Changning Maternity and Infant Health Hospital, Shanghai, 200050, China

    Xiaoer Yang & Bo Gong

  3. Department of Pathology, Shanghai Changning Maternity and Infant Health Hospital, Shanghai, 200050, China

    Xuejun Zhao

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  1. Shengmin Ping
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Correspondence to Shengmin Ping.

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Ping, S., Ma, C., Liu, P. et al. Molecular mechanisms underlying endometriosis pathogenesis revealed by bioinformatics analysis of microarray data. Arch Gynecol Obstet 293, 797–804 (2016). https://doi.org/10.1007/s00404-015-3875-y

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  • DOI: https://doi.org/10.1007/s00404-015-3875-y

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