CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer

<h4>Purpose</h4> The International Federation of Gynecology and Obstetrics (FIGO) stage remains the standard staging system for the assessment of endometrial cancer (EC) prognosis. Thus, we aim to identify the significant genes or biomarkers associated with the stage of endometrial cance...

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Main Authors: Yaping Wang, Shujun Zhao, Qiaohong Qin, Xiang Gao, Xinlu Zhang, Min Zhang, Yi Jiang, Xiaorong Ji, Hai Zhu, Xin Zhao, Hongyu Li
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789190/?tool=EBI
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author Yaping Wang
Shujun Zhao
Qiaohong Qin
Xiang Gao
Xinlu Zhang
Min Zhang
Yi Jiang
Xiaorong Ji
Hai Zhu
Xin Zhao
Hongyu Li
author_facet Yaping Wang
Shujun Zhao
Qiaohong Qin
Xiang Gao
Xinlu Zhang
Min Zhang
Yi Jiang
Xiaorong Ji
Hai Zhu
Xin Zhao
Hongyu Li
author_sort Yaping Wang
collection DOAJ
description <h4>Purpose</h4> The International Federation of Gynecology and Obstetrics (FIGO) stage remains the standard staging system for the assessment of endometrial cancer (EC) prognosis. Thus, we aim to identify the significant genes or biomarkers associated with the stage of endometrial cancer, which may also help reveal the mechanism of EC progression and assess the prognosis of patients with EC. <h4>Materials and methods</h4> We compared the mRNA expression levels of EC patients with stages I and II as well as stages III and IV in the Cancer Genome Atlas (TCGA) database. The differentially expressed genes (DEGs) of EC patients at different stages were selected by volcano plot and Venn analysis. Gene Ontology (GO) and Pathways were applied to analyze the identified genes. Protein protein interaction (PPI) network was employed to identify the correlation. The survival analyses based on TCGA database were conducted for further screening. The Human Protein Atlas, quantitative PCR and immunohistochemistry were utilized to confirm the differences in expression of DEGs in endometrial cancer samples at different FIGO stages. <h4>Results</h4> CKMT1A was identified as a candidate gene. Through survival analyses, we found that CKMT1A may be a poor prognostic factor in the overall survival of endometrial cancer patients. GO and Pathways revealed that CKMT1A is closely associated with the metabolic process. More importantly, Human Protein Atlas and quantitative PCR confirmed the differences in expression of CKMT1A in endometrial cancer samples at different FIGO stages. <h4>Conclusion</h4> In summary, this study shows that CKMT1A is a newly identified essential tumor progression regulator of endometrial cancer, which may give rise to novel therapeutic strategies in the management of endometrial cancer patients to prolong its prognosis and prevent tumor progression.
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spelling doaj.art-7bdbf2a18450450e90cb727a774c11442022-12-22T04:05:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01171CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancerYaping WangShujun ZhaoQiaohong QinXiang GaoXinlu ZhangMin ZhangYi JiangXiaorong JiHai ZhuXin ZhaoHongyu Li<h4>Purpose</h4> The International Federation of Gynecology and Obstetrics (FIGO) stage remains the standard staging system for the assessment of endometrial cancer (EC) prognosis. Thus, we aim to identify the significant genes or biomarkers associated with the stage of endometrial cancer, which may also help reveal the mechanism of EC progression and assess the prognosis of patients with EC. <h4>Materials and methods</h4> We compared the mRNA expression levels of EC patients with stages I and II as well as stages III and IV in the Cancer Genome Atlas (TCGA) database. The differentially expressed genes (DEGs) of EC patients at different stages were selected by volcano plot and Venn analysis. Gene Ontology (GO) and Pathways were applied to analyze the identified genes. Protein protein interaction (PPI) network was employed to identify the correlation. The survival analyses based on TCGA database were conducted for further screening. The Human Protein Atlas, quantitative PCR and immunohistochemistry were utilized to confirm the differences in expression of DEGs in endometrial cancer samples at different FIGO stages. <h4>Results</h4> CKMT1A was identified as a candidate gene. Through survival analyses, we found that CKMT1A may be a poor prognostic factor in the overall survival of endometrial cancer patients. GO and Pathways revealed that CKMT1A is closely associated with the metabolic process. More importantly, Human Protein Atlas and quantitative PCR confirmed the differences in expression of CKMT1A in endometrial cancer samples at different FIGO stages. <h4>Conclusion</h4> In summary, this study shows that CKMT1A is a newly identified essential tumor progression regulator of endometrial cancer, which may give rise to novel therapeutic strategies in the management of endometrial cancer patients to prolong its prognosis and prevent tumor progression.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789190/?tool=EBI
spellingShingle Yaping Wang
Shujun Zhao
Qiaohong Qin
Xiang Gao
Xinlu Zhang
Min Zhang
Yi Jiang
Xiaorong Ji
Hai Zhu
Xin Zhao
Hongyu Li
CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer
PLoS ONE
title CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer
title_full CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer
title_fullStr CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer
title_full_unstemmed CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer
title_short CKMT1A is a novel potential prognostic biomarker in patients with endometrial cancer
title_sort ckmt1a is a novel potential prognostic biomarker in patients with endometrial cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789190/?tool=EBI
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