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Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer

Introduction: Endometrial cancer is one of the most common uterine cancers worldwide. AKT is reported to regulate progesterone receptor B dependent transcription and angiogenesis in endometrial cancer. However, the potential mechanisms of AKT in the tumor progression of endometrial cancer remain unc...

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Autores principales: Huo, Xiao, Sun, Hengzi, Liu, Qian, Ma, Xiangwen, Peng, Peng, Yu, Mei, Zhang, Ying, Cao, Dongyan, Shen, Keng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852383/
https://www.ncbi.nlm.nih.gov/pubmed/31781484
http://dx.doi.org/10.3389/fonc.2019.01147
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author Huo, Xiao
Sun, Hengzi
Liu, Qian
Ma, Xiangwen
Peng, Peng
Yu, Mei
Zhang, Ying
Cao, Dongyan
Shen, Keng
author_facet Huo, Xiao
Sun, Hengzi
Liu, Qian
Ma, Xiangwen
Peng, Peng
Yu, Mei
Zhang, Ying
Cao, Dongyan
Shen, Keng
author_sort Huo, Xiao
collection PubMed
description Introduction: Endometrial cancer is one of the most common uterine cancers worldwide. AKT is reported to regulate progesterone receptor B dependent transcription and angiogenesis in endometrial cancer. However, the potential mechanisms of AKT in the tumor progression of endometrial cancer remain unclear. Methods: We used GSE72708 with gene expression profiles of AKT regulation from the GEO database. We performed GSEA analysis to explore pathway enrichments. We found that most upregulated enriched pathways in siAKT group were associated with acid metabolism and immune network. Endometrial cancer and various signaling pathways were downregulated enriched. Moreover, different molecular mechanism of regulation between progestin (R5020) and AKT was identified, which were related to VEGF signaling pathway. The hub genes were evaluated by immunohistochemical staining of endometrial cancer tissues. Results: We screened out a total of 623 differentially expressed genes among different groups. According to weighted gene co-expression network analysis (WGCNA) method, four distinct modules were identified. We found brown module showed a very high positive correlation with siAKT group and a very high negative correlation with R5020 group. A total of six hub genes including PBK, BIRC5, AURKA, GTSE1, KNSTRN, and PSMB10 were finally identified associated with AKT1. In addition, the data also shows that the higher expression of AKT1, GTSE1, BIRC5, AURKA, and KNSTRN is significantly associate with poor prognosis of endometrial cancer. Conclusion: Our study identified six hub genes related to the prognosis of endometrial cancer, which may provide new insights into the underlying biological mechanisms driving the tumorigenesis of endometrial cancer, especially in AKT1 regulation.
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spelling pubmed-68523832019-11-28 Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer Huo, Xiao Sun, Hengzi Liu, Qian Ma, Xiangwen Peng, Peng Yu, Mei Zhang, Ying Cao, Dongyan Shen, Keng Front Oncol Oncology Introduction: Endometrial cancer is one of the most common uterine cancers worldwide. AKT is reported to regulate progesterone receptor B dependent transcription and angiogenesis in endometrial cancer. However, the potential mechanisms of AKT in the tumor progression of endometrial cancer remain unclear. Methods: We used GSE72708 with gene expression profiles of AKT regulation from the GEO database. We performed GSEA analysis to explore pathway enrichments. We found that most upregulated enriched pathways in siAKT group were associated with acid metabolism and immune network. Endometrial cancer and various signaling pathways were downregulated enriched. Moreover, different molecular mechanism of regulation between progestin (R5020) and AKT was identified, which were related to VEGF signaling pathway. The hub genes were evaluated by immunohistochemical staining of endometrial cancer tissues. Results: We screened out a total of 623 differentially expressed genes among different groups. According to weighted gene co-expression network analysis (WGCNA) method, four distinct modules were identified. We found brown module showed a very high positive correlation with siAKT group and a very high negative correlation with R5020 group. A total of six hub genes including PBK, BIRC5, AURKA, GTSE1, KNSTRN, and PSMB10 were finally identified associated with AKT1. In addition, the data also shows that the higher expression of AKT1, GTSE1, BIRC5, AURKA, and KNSTRN is significantly associate with poor prognosis of endometrial cancer. Conclusion: Our study identified six hub genes related to the prognosis of endometrial cancer, which may provide new insights into the underlying biological mechanisms driving the tumorigenesis of endometrial cancer, especially in AKT1 regulation. Frontiers Media S.A. 2019-11-06 /pmc/articles/PMC6852383/ /pubmed/31781484 http://dx.doi.org/10.3389/fonc.2019.01147 Text en Copyright © 2019 Huo, Sun, Liu, Ma, Peng, Yu, Zhang, Cao and Shen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Huo, Xiao
Sun, Hengzi
Liu, Qian
Ma, Xiangwen
Peng, Peng
Yu, Mei
Zhang, Ying
Cao, Dongyan
Shen, Keng
Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer
title Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer
title_full Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer
title_fullStr Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer
title_full_unstemmed Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer
title_short Clinical and Expression Significance of AKT1 by Co-expression Network Analysis in Endometrial Cancer
title_sort clinical and expression significance of akt1 by co-expression network analysis in endometrial cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6852383/
https://www.ncbi.nlm.nih.gov/pubmed/31781484
http://dx.doi.org/10.3389/fonc.2019.01147
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