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pmid:32555395

Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis.

Shuang Shi · Qiang Tan · Fuqiang Feng · Heping Huang · Jingjie Liang · Dingren Cao · Zhengguang Wang

Scientific reports · 2020 doi:10.1038/s41598-020-66872-3

Paper

complete

Experiment

partial

Data

partial

Analysis

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pmid:32555395
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title
Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis.
doi
10.1038/s41598-020-66872-3
pmid
32555395
authors array · 7 items
[0]
Shuang Shi
[1]
Qiang Tan
[2]
Fuqiang Feng
[3]
Heping Huang
[4]
Jingjie Liang
[5]
Dingren Cao
[6]
Zhengguang Wang
journal
Scientific reports
year
2020
abstract
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.
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sections[14] "Identification of differentially expressed genes" paragraph 2
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The analysis was performed using limma package at cut off values |log FC | > 1.0 and Adjust P value value <0.05 in these three datasets.
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The data that support the findings of this study are available in GEO at https://www.ncbi.nlm.nih.gov/geo/. These data were derived from the following resources available in the public domain: GSE17025, GSE63678 and GSE115810.
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sections[21] "Data availibility" paragraph 2
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The data that support the findings of this study are available in GEO at https://www.ncbi.nlm.nih.gov/geo/. These data were derived from the following resources available in the public domain: GSE17025, GSE63678 and GSE115810.
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Identification of DEGs in endometrial cancer
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Top 10 differentially expressed genes in GSE63678.
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Identification of DEGs in endometrial cancer
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Identification of DEGs in endometrial cancer
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ium supplemented with 10% FBS. while HEC-1-A cell lines were cultured in McCOY’s 5 A (SIGMA) supplemented with 10%
[1]
, China). Ishikawa and 4003 cells lines were cultured in DMEM (Gibco) culture medium supplemented wit
[2]
with 10% FBS. while HEC-1-A cell lines were cultured in McCOY’s 5 A (SIGMA) supplemented with 10% FB
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Complete file
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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. 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