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Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis

BACKGROUND: Endometriosis is a common gynecological disease among women in their reproductive years. Although much effort has been made, the pathogenesis of this disease and the detailed differences between eutopic endometrial cells and ectopic endometrial cells are still unclear. METHODS: In this s...

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Autores principales: Feng, Xiao, Qi, Lingbin, Xu, Xiaoyu, Feng, Yun, Gong, Xiaoming, Aili, Aixingzi, Chen, Yu, Xue, Zhigang, Xue, Jinfeng, Tong, Xiaowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035894/
https://www.ncbi.nlm.nih.gov/pubmed/33868805
http://dx.doi.org/10.7717/peerj.11045
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author Feng, Xiao
Qi, Lingbin
Xu, Xiaoyu
Feng, Yun
Gong, Xiaoming
Aili, Aixingzi
Chen, Yu
Xue, Zhigang
Xue, Jinfeng
Tong, Xiaowen
author_facet Feng, Xiao
Qi, Lingbin
Xu, Xiaoyu
Feng, Yun
Gong, Xiaoming
Aili, Aixingzi
Chen, Yu
Xue, Zhigang
Xue, Jinfeng
Tong, Xiaowen
author_sort Feng, Xiao
collection PubMed
description BACKGROUND: Endometriosis is a common gynecological disease among women in their reproductive years. Although much effort has been made, the pathogenesis of this disease and the detailed differences between eutopic endometrial cells and ectopic endometrial cells are still unclear. METHODS: In this study, eutopic and ectopic endometrial cells were collected from patients with and without endometriosis and RNA sequencing was performed. The gene expression patterns and differentially expressed genes (DEGs) in eutopic and ectopic endometrial cells, as well as control endometrial cells, were analyzed using a weighted gene co-expression network analysis (WGCNA) and the DESeq2 package. The functions of significant genes were detected using Gene ontology (GO) enrichment analysis, and qRT-PCR validation was performed. RESULTS: The results indicated that eight gene modules were found among these three groups. They also indicated that the gene module, which is highly related to eutopic endometrial cells, was mainly enriched in cell adhesion, embryo implantation, etc., while the gene module related to ectopic endometrial cells was mainly enriched in cell migration, etc. The results of differential expression analysis were generally consistent with the WGCNA results through identified significant DEGs between different groups. These DEGs may play an important role in the occurrence of endometriosis, including the infertility associated gene ARNTL and PIWIL2, tissue remodeling gene MMP11, cell survival and migration gene FLT1, inflammatory response gene GNLY, the tumor suppressor genes PLCD1, etc. Further analysis suggested the function of adhesion is stronger in ectopic endometrial cells than in eutopic endometrial cells, while the ectopic endometrium may have a higher potential risk of malignant transformation than eutopic endometrium. CONCLUSIONS: Overall, these data provide a reference for understanding the pathogenesis of endometriosis and its relationship with malignant transformation.
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spelling pubmed-80358942021-04-16 Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis Feng, Xiao Qi, Lingbin Xu, Xiaoyu Feng, Yun Gong, Xiaoming Aili, Aixingzi Chen, Yu Xue, Zhigang Xue, Jinfeng Tong, Xiaowen PeerJ Bioinformatics BACKGROUND: Endometriosis is a common gynecological disease among women in their reproductive years. Although much effort has been made, the pathogenesis of this disease and the detailed differences between eutopic endometrial cells and ectopic endometrial cells are still unclear. METHODS: In this study, eutopic and ectopic endometrial cells were collected from patients with and without endometriosis and RNA sequencing was performed. The gene expression patterns and differentially expressed genes (DEGs) in eutopic and ectopic endometrial cells, as well as control endometrial cells, were analyzed using a weighted gene co-expression network analysis (WGCNA) and the DESeq2 package. The functions of significant genes were detected using Gene ontology (GO) enrichment analysis, and qRT-PCR validation was performed. RESULTS: The results indicated that eight gene modules were found among these three groups. They also indicated that the gene module, which is highly related to eutopic endometrial cells, was mainly enriched in cell adhesion, embryo implantation, etc., while the gene module related to ectopic endometrial cells was mainly enriched in cell migration, etc. The results of differential expression analysis were generally consistent with the WGCNA results through identified significant DEGs between different groups. These DEGs may play an important role in the occurrence of endometriosis, including the infertility associated gene ARNTL and PIWIL2, tissue remodeling gene MMP11, cell survival and migration gene FLT1, inflammatory response gene GNLY, the tumor suppressor genes PLCD1, etc. Further analysis suggested the function of adhesion is stronger in ectopic endometrial cells than in eutopic endometrial cells, while the ectopic endometrium may have a higher potential risk of malignant transformation than eutopic endometrium. CONCLUSIONS: Overall, these data provide a reference for understanding the pathogenesis of endometriosis and its relationship with malignant transformation. PeerJ Inc. 2021-04-07 /pmc/articles/PMC8035894/ /pubmed/33868805 http://dx.doi.org/10.7717/peerj.11045 Text en ©2021 Feng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Feng, Xiao
Qi, Lingbin
Xu, Xiaoyu
Feng, Yun
Gong, Xiaoming
Aili, Aixingzi
Chen, Yu
Xue, Zhigang
Xue, Jinfeng
Tong, Xiaowen
Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis
title Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis
title_full Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis
title_fullStr Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis
title_full_unstemmed Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis
title_short Analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis
title_sort analysis of differences in the transcriptomic profiles of eutopic and ectopic endometriums in women with ovarian endometriosis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035894/
https://www.ncbi.nlm.nih.gov/pubmed/33868805
http://dx.doi.org/10.7717/peerj.11045
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