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Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma
Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The data used in the current study was downloaded from TCGA and GEO databases. Differentially expressed metastasis-related genes were identified and the biological functions were implemented. Kaplan–Meier analysis...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439939/ https://www.ncbi.nlm.nih.gov/pubmed/37598251 http://dx.doi.org/10.1038/s41598-023-40740-2 |
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author | Zheng, Yuebin Wu, Jun Yan, Bincheng Yang, Yirong Zhong, Huacai Yi, Wang Cao, Chengjian Wang, Qian |
author_facet | Zheng, Yuebin Wu, Jun Yan, Bincheng Yang, Yirong Zhong, Huacai Yi, Wang Cao, Chengjian Wang, Qian |
author_sort | Zheng, Yuebin |
collection | PubMed |
description | Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The data used in the current study was downloaded from TCGA and GEO databases. Differentially expressed metastasis-related genes were identified and the biological functions were implemented. Kaplan–Meier analysis univariate, and, multivariate Cox regression analyses were performed to identify robust prognostic biomarkers, followed by construction of the risk model and nomogram. Gene set enrichment analysis was performed to identify pathways enriched in low- and high-risk groups. POLR2J3 and MYH11 were treated as prognostic biomarkers in LSCC and the risk model was constructed. Receiver operating characteristic curves revealed the good performance of the risk model. A nomogram with high accuracy was constructed, as evidenced by calibration and decision curves. Moreover, we found that the expressions of POLR2J3 and MYH11 was significantly higher in metastasis tissues compared with those in non-metastasis tissues by RT-qPCR and IHC. Our study identified novel metastasis-related prognostic biomarkers in LSCC and constructed a unique nomogram for predicting the prognosis of LSCC patients. Moreover, we explored the related mechanisms of metastasis-related genes in regulating LSCC. |
format | Online Article Text |
id | pubmed-10439939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104399392023-08-21 Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma Zheng, Yuebin Wu, Jun Yan, Bincheng Yang, Yirong Zhong, Huacai Yi, Wang Cao, Chengjian Wang, Qian Sci Rep Article Metastasis is a major cause of treatment failure and poor outcomes in cancer patients. The data used in the current study was downloaded from TCGA and GEO databases. Differentially expressed metastasis-related genes were identified and the biological functions were implemented. Kaplan–Meier analysis univariate, and, multivariate Cox regression analyses were performed to identify robust prognostic biomarkers, followed by construction of the risk model and nomogram. Gene set enrichment analysis was performed to identify pathways enriched in low- and high-risk groups. POLR2J3 and MYH11 were treated as prognostic biomarkers in LSCC and the risk model was constructed. Receiver operating characteristic curves revealed the good performance of the risk model. A nomogram with high accuracy was constructed, as evidenced by calibration and decision curves. Moreover, we found that the expressions of POLR2J3 and MYH11 was significantly higher in metastasis tissues compared with those in non-metastasis tissues by RT-qPCR and IHC. Our study identified novel metastasis-related prognostic biomarkers in LSCC and constructed a unique nomogram for predicting the prognosis of LSCC patients. Moreover, we explored the related mechanisms of metastasis-related genes in regulating LSCC. Nature Publishing Group UK 2023-08-19 /pmc/articles/PMC10439939/ /pubmed/37598251 http://dx.doi.org/10.1038/s41598-023-40740-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Zheng, Yuebin Wu, Jun Yan, Bincheng Yang, Yirong Zhong, Huacai Yi, Wang Cao, Chengjian Wang, Qian Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma |
title | Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma |
title_full | Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma |
title_fullStr | Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma |
title_full_unstemmed | Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma |
title_short | Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma |
title_sort | identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439939/ https://www.ncbi.nlm.nih.gov/pubmed/37598251 http://dx.doi.org/10.1038/s41598-023-40740-2 |
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