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Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer
BACKGROUND: Enolase is an essential enzyme in the process of glycolysis and has been implicated in cancer progression. Though dysregulation of ENOs has been reported in multiple cancers, their prognostic value and specific role in bladder cancer (BLCA) remain unclear. METHODS: Multiple databases wer...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281045/ https://www.ncbi.nlm.nih.gov/pubmed/35836227 http://dx.doi.org/10.1186/s12967-022-03509-1 |
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author | Huang, Zhengnan Yan, Yilin Wang, Tengjiao Wang, Zeyi Cai, Jinming Cao, Xiangqian Yang, Chenkai Zhang, Fang Wu, Gang Shen, Bing |
author_facet | Huang, Zhengnan Yan, Yilin Wang, Tengjiao Wang, Zeyi Cai, Jinming Cao, Xiangqian Yang, Chenkai Zhang, Fang Wu, Gang Shen, Bing |
author_sort | Huang, Zhengnan |
collection | PubMed |
description | BACKGROUND: Enolase is an essential enzyme in the process of glycolysis and has been implicated in cancer progression. Though dysregulation of ENOs has been reported in multiple cancers, their prognostic value and specific role in bladder cancer (BLCA) remain unclear. METHODS: Multiple databases were employed to examine the expression of ENOs in BLCA. The expression of ENO1 was also validated in BLCA cell lines and tissue samples by western blotting and immunohistochemistry. Kaplan–Meier analysis, ROC curve, univariate and multivariate Cox regression were performed to evaluate the predictive capability of the ENO1. Gene ontology (GO) and Gene Set Enrichment Analyses (GSEA) analysis were employed to perform the biological processes enrichment. Function experiments were performed to explore the biological role of ENO1 in BLCA. The correlation of ENO1 with immune cell infiltration was explored by CIBERSORT. RESULTS: By analyzing three ENO isoforms in multiple databases, we identified that ENO1 was the only significantly upregulated gene in BLCA. High expression level of ENO1 was further confirmed in BLCA tissue samples. Aberrant ENO1 overexpression was associated with clinicopathological characteristics and unfavorable prognosis. Functional studies demonstrated that ENO1 depletion inhibited cancer cell aggressiveness. Furthermore, the expression level of ENO1 was correlated with the infiltration levels of immune cells and immune-related functions. CONCLUSIONS: Taken together, our results indicated that ENO1 might serve as a promising prognostic biomarker for prognosticating prognosis associated with the tumor immune microenvironment, suggesting that ENO1 could be a potential immune-related target against BLCA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03509-1. |
format | Online Article Text |
id | pubmed-9281045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92810452022-07-15 Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer Huang, Zhengnan Yan, Yilin Wang, Tengjiao Wang, Zeyi Cai, Jinming Cao, Xiangqian Yang, Chenkai Zhang, Fang Wu, Gang Shen, Bing J Transl Med Research BACKGROUND: Enolase is an essential enzyme in the process of glycolysis and has been implicated in cancer progression. Though dysregulation of ENOs has been reported in multiple cancers, their prognostic value and specific role in bladder cancer (BLCA) remain unclear. METHODS: Multiple databases were employed to examine the expression of ENOs in BLCA. The expression of ENO1 was also validated in BLCA cell lines and tissue samples by western blotting and immunohistochemistry. Kaplan–Meier analysis, ROC curve, univariate and multivariate Cox regression were performed to evaluate the predictive capability of the ENO1. Gene ontology (GO) and Gene Set Enrichment Analyses (GSEA) analysis were employed to perform the biological processes enrichment. Function experiments were performed to explore the biological role of ENO1 in BLCA. The correlation of ENO1 with immune cell infiltration was explored by CIBERSORT. RESULTS: By analyzing three ENO isoforms in multiple databases, we identified that ENO1 was the only significantly upregulated gene in BLCA. High expression level of ENO1 was further confirmed in BLCA tissue samples. Aberrant ENO1 overexpression was associated with clinicopathological characteristics and unfavorable prognosis. Functional studies demonstrated that ENO1 depletion inhibited cancer cell aggressiveness. Furthermore, the expression level of ENO1 was correlated with the infiltration levels of immune cells and immune-related functions. CONCLUSIONS: Taken together, our results indicated that ENO1 might serve as a promising prognostic biomarker for prognosticating prognosis associated with the tumor immune microenvironment, suggesting that ENO1 could be a potential immune-related target against BLCA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03509-1. BioMed Central 2022-07-14 /pmc/articles/PMC9281045/ /pubmed/35836227 http://dx.doi.org/10.1186/s12967-022-03509-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Huang, Zhengnan Yan, Yilin Wang, Tengjiao Wang, Zeyi Cai, Jinming Cao, Xiangqian Yang, Chenkai Zhang, Fang Wu, Gang Shen, Bing Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer |
title | Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer |
title_full | Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer |
title_fullStr | Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer |
title_full_unstemmed | Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer |
title_short | Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer |
title_sort | identification of eno1 as a prognostic biomarker and molecular target among enos in bladder cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281045/ https://www.ncbi.nlm.nih.gov/pubmed/35836227 http://dx.doi.org/10.1186/s12967-022-03509-1 |
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