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Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis
Endometrial cancer is one of the most prevalent tumors of the female reproductive system causing serious health effects to women worldwide. Although numerous studies, including analysis of gene expression profile and cellular microenvironment have been reported in this field, pathogenesis of this di...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299953/ https://www.ncbi.nlm.nih.gov/pubmed/32555395 http://dx.doi.org/10.1038/s41598-020-66872-3 |
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author | Shi, Shuang Tan, Qiang Feng, Fuqiang Huang, Heping Liang, Jingjie Cao, Dingren Wang, Zhengguang |
author_facet | Shi, Shuang Tan, Qiang Feng, Fuqiang Huang, Heping Liang, Jingjie Cao, Dingren Wang, Zhengguang |
author_sort | Shi, Shuang |
collection | PubMed |
description | Endometrial cancer is one of the most prevalent tumors of the female reproductive system causing serious health effects to women worldwide. Although numerous studies, including analysis of gene expression profile and cellular microenvironment have been reported in this field, pathogenesis of this disease remains unclear. In this study, we performed a system bioinformatics analysis of endometrial cancer using the Gene Expression Omnibus (GEO) datasets (GSE17025, GSE63678, and GSE115810) to identify the core genes. In addition, exosomes derived from endometrial cancer cells were also isolated and identified. First, we analyzed the differentially expressed genes (DEGs) between endometrial cancer tissues and normal tissues in clinic samples. We found that HAND2-AS1, PEG3, OGN, SFRP4, and OSR2 were co-expressed across all 3 datasets. Pathways analysis showed that several pathways associated with endometrial cancer, including “p53 signaling pathway”, “Glutathione metabolism”, “Cell cycle”, and etc. Next, we selected DEGs with highly significant fold change and co-expressed across the 3 datasets and validated them in the TCGA database using Gene Expression Profiling Interactive Analysis (GEPIA). Finally, we performed a survival analysis and identified four genes (TOP2A, ASPM, EFEMP1, and FOXL2) that play key roles in endometrial cancer. We found up-regulation of TOP2A and ASPM in endometrial cancer tissues or cells, while EFEMP1 and FOXL2 were down-regulated. Furthermore, we isolated exosomes from the culturing supernatants of endometrial cancer cells (Ishikawa and HEC-1-A) and found that miR-133a, which regulates expression of FOXL2, were present in exosomes and that they could be delivered to normal endometrial cells. The common DEGs, pathways, and exosomal miRNAs identified in this study might play an important role in progression as well as diagnosis of endometrial cancer. In conclusion, our results provide insights into the pathogenesis and risk assessment of endometrial cancer. Even so, further studies are required to elucidate on the precise mechanism of action of these genes in endometrial cancer. |
format | Online Article Text |
id | pubmed-7299953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72999532020-06-18 Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis Shi, Shuang Tan, Qiang Feng, Fuqiang Huang, Heping Liang, Jingjie Cao, Dingren Wang, Zhengguang Sci Rep Article Endometrial cancer is one of the most prevalent tumors of the female reproductive system causing serious health effects to women worldwide. Although numerous studies, including analysis of gene expression profile and cellular microenvironment have been reported in this field, pathogenesis of this disease remains unclear. In this study, we performed a system bioinformatics analysis of endometrial cancer using the Gene Expression Omnibus (GEO) datasets (GSE17025, GSE63678, and GSE115810) to identify the core genes. In addition, exosomes derived from endometrial cancer cells were also isolated and identified. First, we analyzed the differentially expressed genes (DEGs) between endometrial cancer tissues and normal tissues in clinic samples. We found that HAND2-AS1, PEG3, OGN, SFRP4, and OSR2 were co-expressed across all 3 datasets. Pathways analysis showed that several pathways associated with endometrial cancer, including “p53 signaling pathway”, “Glutathione metabolism”, “Cell cycle”, and etc. Next, we selected DEGs with highly significant fold change and co-expressed across the 3 datasets and validated them in the TCGA database using Gene Expression Profiling Interactive Analysis (GEPIA). Finally, we performed a survival analysis and identified four genes (TOP2A, ASPM, EFEMP1, and FOXL2) that play key roles in endometrial cancer. We found up-regulation of TOP2A and ASPM in endometrial cancer tissues or cells, while EFEMP1 and FOXL2 were down-regulated. Furthermore, we isolated exosomes from the culturing supernatants of endometrial cancer cells (Ishikawa and HEC-1-A) and found that miR-133a, which regulates expression of FOXL2, were present in exosomes and that they could be delivered to normal endometrial cells. The common DEGs, pathways, and exosomal miRNAs identified in this study might play an important role in progression as well as diagnosis of endometrial cancer. In conclusion, our results provide insights into the pathogenesis and risk assessment of endometrial cancer. Even so, further studies are required to elucidate on the precise mechanism of action of these genes in endometrial cancer. Nature Publishing Group UK 2020-06-17 /pmc/articles/PMC7299953/ /pubmed/32555395 http://dx.doi.org/10.1038/s41598-020-66872-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Shi, Shuang Tan, Qiang Feng, Fuqiang Huang, Heping Liang, Jingjie Cao, Dingren Wang, Zhengguang Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis |
title | Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis |
title_full | Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis |
title_fullStr | Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis |
title_full_unstemmed | Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis |
title_short | Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis |
title_sort | identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299953/ https://www.ncbi.nlm.nih.gov/pubmed/32555395 http://dx.doi.org/10.1038/s41598-020-66872-3 |
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