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Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis
Malignant mesothelioma (MM) is a rare aggressive tumor, and bone metastasis often occurs in later stages of this disease. This study aimed to establish a nomogram to predict the prognosis of bone metastasis of patients with MM. Data from the Surveillance, Epidemiology, and End Results database were...
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/PMC10319832/ https://www.ncbi.nlm.nih.gov/pubmed/37402761 http://dx.doi.org/10.1038/s41598-023-37679-9 |
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author | Yang, Awen Tang, Bin Liu, Xuan He, Jingxuan Yan, Qun Liang, Xianghui Liu, Wenen |
author_facet | Yang, Awen Tang, Bin Liu, Xuan He, Jingxuan Yan, Qun Liang, Xianghui Liu, Wenen |
author_sort | Yang, Awen |
collection | PubMed |
description | Malignant mesothelioma (MM) is a rare aggressive tumor, and bone metastasis often occurs in later stages of this disease. This study aimed to establish a nomogram to predict the prognosis of bone metastasis of patients with MM. Data from the Surveillance, Epidemiology, and End Results database were screened and retrieved. This study included 311 patients with MM with bone metastases. Prognostic factors were analyzed using the Kaplan–Meier method and Cox proportional hazards model. A nomogram for overall survival (OS) was established and evaluated using statistically significant prognostic factors, and cancer-specific survival (CSS) analysis was performed to investigate its prognostic factors. In addition, the metastasis patterns of patients with MM were investigated, and the effects of different sites of metastasis on survival were compared using the Kaplan–Meier method. Age, sex, histological type, and chemotherapy were identified as the independent risk factors for OS. The 1-, 2-, and 3-year areas under the curve of the nomogram were 0.792, 0.774, and 0.928, and 0.742, 0.733, and 0.733 in the training and validation sets, respectively. Compared to OS, histological type, radiotherapy, and chemotherapy were independent risk factors for CSS. Different metastatic sites in MM have significantly different effects on prognosis. |
format | Online Article Text |
id | pubmed-10319832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103198322023-07-06 Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis Yang, Awen Tang, Bin Liu, Xuan He, Jingxuan Yan, Qun Liang, Xianghui Liu, Wenen Sci Rep Article Malignant mesothelioma (MM) is a rare aggressive tumor, and bone metastasis often occurs in later stages of this disease. This study aimed to establish a nomogram to predict the prognosis of bone metastasis of patients with MM. Data from the Surveillance, Epidemiology, and End Results database were screened and retrieved. This study included 311 patients with MM with bone metastases. Prognostic factors were analyzed using the Kaplan–Meier method and Cox proportional hazards model. A nomogram for overall survival (OS) was established and evaluated using statistically significant prognostic factors, and cancer-specific survival (CSS) analysis was performed to investigate its prognostic factors. In addition, the metastasis patterns of patients with MM were investigated, and the effects of different sites of metastasis on survival were compared using the Kaplan–Meier method. Age, sex, histological type, and chemotherapy were identified as the independent risk factors for OS. The 1-, 2-, and 3-year areas under the curve of the nomogram were 0.792, 0.774, and 0.928, and 0.742, 0.733, and 0.733 in the training and validation sets, respectively. Compared to OS, histological type, radiotherapy, and chemotherapy were independent risk factors for CSS. Different metastatic sites in MM have significantly different effects on prognosis. Nature Publishing Group UK 2023-07-04 /pmc/articles/PMC10319832/ /pubmed/37402761 http://dx.doi.org/10.1038/s41598-023-37679-9 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 Yang, Awen Tang, Bin Liu, Xuan He, Jingxuan Yan, Qun Liang, Xianghui Liu, Wenen Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis |
title | Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis |
title_full | Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis |
title_fullStr | Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis |
title_full_unstemmed | Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis |
title_short | Development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis |
title_sort | development of a prognostic nomogram for patients with malignant mesothelioma with bone metastasis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319832/ https://www.ncbi.nlm.nih.gov/pubmed/37402761 http://dx.doi.org/10.1038/s41598-023-37679-9 |
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