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Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma
OBJECTIVES: The role of postoperative radiotherapy (PORT) in malignant pleural mesothelioma (MPM) remains controversial and the eighth edition TNM staging scheme for MPM has not been fully verified. We aimed to develop an individualized prediction model for identifying optimal candidates for PORT am...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278470/ https://www.ncbi.nlm.nih.gov/pubmed/37076977 http://dx.doi.org/10.1002/cam4.5955 |
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author | Wo, Yang Peng, Yizhou Wu, Zhigang Liu, Pengcheng Shang, Yan Shen, Xuxia Sun, Yihua |
author_facet | Wo, Yang Peng, Yizhou Wu, Zhigang Liu, Pengcheng Shang, Yan Shen, Xuxia Sun, Yihua |
author_sort | Wo, Yang |
collection | PubMed |
description | OBJECTIVES: The role of postoperative radiotherapy (PORT) in malignant pleural mesothelioma (MPM) remains controversial and the eighth edition TNM staging scheme for MPM has not been fully verified. We aimed to develop an individualized prediction model for identifying optimal candidates for PORT among MPM patients who received surgery plus chemotherapy and externally validate the performance of the new TNM staging scheme. MATERIALS AND METHODS: Detailed characteristics of MPM patients during 2004–2015 were retrieved from SEER registries. Propensity score matching (PSM) was conducted to reduce disparities of baseline characteristics (age, sex, histologic type, stage, and type of surgery) between the PORT group and no‐PORT group. A novel nomogram was constructed based on independent prognosticators identified by multivariate Cox regression model. The discriminatory performance and degree of calibration were evaluated. We stratified patients into different risk groups according to nomogram total scores and estimated the survival benefit of PORT in different subgroups in order to identify the optimal candidates. RESULTS: We identified 596 MPM patients, among which 190 patients (31.9%) received PORT. PORT conferred significant survival benefit in the unmatched population, while there was no significant survival difference favoring PORT in the matched population. The C‐index of the new TNM staging scheme was closed to 0.5, which represented a poor discriminatory ability. A novel nomogram was constructed based on clinicopathological factors, including age, sex, histology, and N stage. We stratified patients into three risk groups. Subgroup analyses indicated that PORT was beneficial for high‐risk group (p = 0.003) rather than low‐risk group (p = 0.965) and intermediate‐risk group (p = 0.661). CONCLUSION: We established a novel predictive model, which could make individualized prediction of survival benefit of PORT for MPM and could compensate for weakness in TNM staging system. |
format | Online Article Text |
id | pubmed-10278470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102784702023-06-20 Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma Wo, Yang Peng, Yizhou Wu, Zhigang Liu, Pengcheng Shang, Yan Shen, Xuxia Sun, Yihua Cancer Med RESEARCH ARTICLES OBJECTIVES: The role of postoperative radiotherapy (PORT) in malignant pleural mesothelioma (MPM) remains controversial and the eighth edition TNM staging scheme for MPM has not been fully verified. We aimed to develop an individualized prediction model for identifying optimal candidates for PORT among MPM patients who received surgery plus chemotherapy and externally validate the performance of the new TNM staging scheme. MATERIALS AND METHODS: Detailed characteristics of MPM patients during 2004–2015 were retrieved from SEER registries. Propensity score matching (PSM) was conducted to reduce disparities of baseline characteristics (age, sex, histologic type, stage, and type of surgery) between the PORT group and no‐PORT group. A novel nomogram was constructed based on independent prognosticators identified by multivariate Cox regression model. The discriminatory performance and degree of calibration were evaluated. We stratified patients into different risk groups according to nomogram total scores and estimated the survival benefit of PORT in different subgroups in order to identify the optimal candidates. RESULTS: We identified 596 MPM patients, among which 190 patients (31.9%) received PORT. PORT conferred significant survival benefit in the unmatched population, while there was no significant survival difference favoring PORT in the matched population. The C‐index of the new TNM staging scheme was closed to 0.5, which represented a poor discriminatory ability. A novel nomogram was constructed based on clinicopathological factors, including age, sex, histology, and N stage. We stratified patients into three risk groups. Subgroup analyses indicated that PORT was beneficial for high‐risk group (p = 0.003) rather than low‐risk group (p = 0.965) and intermediate‐risk group (p = 0.661). CONCLUSION: We established a novel predictive model, which could make individualized prediction of survival benefit of PORT for MPM and could compensate for weakness in TNM staging system. John Wiley and Sons Inc. 2023-04-19 /pmc/articles/PMC10278470/ /pubmed/37076977 http://dx.doi.org/10.1002/cam4.5955 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Wo, Yang Peng, Yizhou Wu, Zhigang Liu, Pengcheng Shang, Yan Shen, Xuxia Sun, Yihua Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma |
title | Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma |
title_full | Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma |
title_fullStr | Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma |
title_full_unstemmed | Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma |
title_short | Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma |
title_sort | individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278470/ https://www.ncbi.nlm.nih.gov/pubmed/37076977 http://dx.doi.org/10.1002/cam4.5955 |
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