Cargando…
Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer
Protein ubiquitination is closely related to tumor occurrence and development. The specific role of ubiquitination in endometrial cancer remains largely unclear. Therefore, we constructed a novel endometrial cancer prognostic model based on ubiquitination-related genes. We extracted the expression m...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824913/ https://www.ncbi.nlm.nih.gov/pubmed/36611207 http://dx.doi.org/10.1186/s12957-022-02875-w |
_version_ | 1784866525876846592 |
---|---|
author | Wang, Ziwei Cheng, Shuangshuang Liu, Yan Zhao, Rong Zhang, Jun Zhou, Xing Shu, Wan Feng, Dilu Wang, Hongbo |
author_facet | Wang, Ziwei Cheng, Shuangshuang Liu, Yan Zhao, Rong Zhang, Jun Zhou, Xing Shu, Wan Feng, Dilu Wang, Hongbo |
author_sort | Wang, Ziwei |
collection | PubMed |
description | Protein ubiquitination is closely related to tumor occurrence and development. The specific role of ubiquitination in endometrial cancer remains largely unclear. Therefore, we constructed a novel endometrial cancer prognostic model based on ubiquitination-related genes. We extracted the expression matrices of ubiquitination-related genes from the Cancer Genome Atlas database, upon which we performed univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses to obtain 22 ubiquitination-related genes for the construction of the prognostic model. Survival, regression, clinical correlation, and principal component analyses were performed to assess the performance of the model. Drug sensitivity analysis was performed based on these ubiquitination-related genes. Finally, a prognostic nomogram was constructed based on the prognostic model to quantify patient outcomes. Survival, regression, clinical correlation, and principal component analyses revealed that the performance of the prognostic model was satisfactory. Drug sensitivity analysis provided a potential direction for the treatment of endometrial cancer. The prognostic nomogram could be used to effectively estimate the survival rate of patients with endometrial cancer. In summary, we constructed a new endometrial cancer prognostic model and identified 5 differentially expressed, prognosis-associated, ubiquitination-related genes. These 5 genes are potential diagnostic and treatment targets for endometrial cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02875-w. |
format | Online Article Text |
id | pubmed-9824913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98249132023-01-08 Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer Wang, Ziwei Cheng, Shuangshuang Liu, Yan Zhao, Rong Zhang, Jun Zhou, Xing Shu, Wan Feng, Dilu Wang, Hongbo World J Surg Oncol Research Protein ubiquitination is closely related to tumor occurrence and development. The specific role of ubiquitination in endometrial cancer remains largely unclear. Therefore, we constructed a novel endometrial cancer prognostic model based on ubiquitination-related genes. We extracted the expression matrices of ubiquitination-related genes from the Cancer Genome Atlas database, upon which we performed univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses to obtain 22 ubiquitination-related genes for the construction of the prognostic model. Survival, regression, clinical correlation, and principal component analyses were performed to assess the performance of the model. Drug sensitivity analysis was performed based on these ubiquitination-related genes. Finally, a prognostic nomogram was constructed based on the prognostic model to quantify patient outcomes. Survival, regression, clinical correlation, and principal component analyses revealed that the performance of the prognostic model was satisfactory. Drug sensitivity analysis provided a potential direction for the treatment of endometrial cancer. The prognostic nomogram could be used to effectively estimate the survival rate of patients with endometrial cancer. In summary, we constructed a new endometrial cancer prognostic model and identified 5 differentially expressed, prognosis-associated, ubiquitination-related genes. These 5 genes are potential diagnostic and treatment targets for endometrial cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02875-w. BioMed Central 2023-01-07 /pmc/articles/PMC9824913/ /pubmed/36611207 http://dx.doi.org/10.1186/s12957-022-02875-w 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 Wang, Ziwei Cheng, Shuangshuang Liu, Yan Zhao, Rong Zhang, Jun Zhou, Xing Shu, Wan Feng, Dilu Wang, Hongbo Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer |
title | Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer |
title_full | Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer |
title_fullStr | Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer |
title_full_unstemmed | Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer |
title_short | Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer |
title_sort | gene signature and prognostic value of ubiquitination-related genes in endometrial cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824913/ https://www.ncbi.nlm.nih.gov/pubmed/36611207 http://dx.doi.org/10.1186/s12957-022-02875-w |
work_keys_str_mv | AT wangziwei genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT chengshuangshuang genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT liuyan genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT zhaorong genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT zhangjun genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT zhouxing genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT shuwan genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT fengdilu genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer AT wanghongbo genesignatureandprognosticvalueofubiquitinationrelatedgenesinendometrialcancer |