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Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma
OBJECTIVE: Adjuvant radiotherapy is the main treatment modality for high grade meningioma after surgical resection; however, recurrence and survival outcomes vary. The aim of this study was to create a new “prognostic score” that allows personalized recommendations for post-operative adjuvant radiot...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683714/ https://www.ncbi.nlm.nih.gov/pubmed/33240812 http://dx.doi.org/10.3389/fonc.2020.568079 |
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author | Wang, Daijun Sun, Shuchen Hua, Lingyang Deng, Jiaojiao Luan, Shihai Cheng, Haixia Xie, Qing Wakimoto, Hiroaki Zhu, Hongda Gong, Ye |
author_facet | Wang, Daijun Sun, Shuchen Hua, Lingyang Deng, Jiaojiao Luan, Shihai Cheng, Haixia Xie, Qing Wakimoto, Hiroaki Zhu, Hongda Gong, Ye |
author_sort | Wang, Daijun |
collection | PubMed |
description | OBJECTIVE: Adjuvant radiotherapy is the main treatment modality for high grade meningioma after surgical resection; however, recurrence and survival outcomes vary. The aim of this study was to create a new “prognostic score” that allows personalized recommendations for post-operative adjuvant radiotherapy in patients with high grade meningioma. METHODS: Clinical data were collected from 115 patients with high grade meningioma treated with surgical resection and adjuvant radiotherapy. A prognostic model was built based on the hazards ratios of independent prognostic factors yielded by multivariate cox proportional analysis. Calibration and discrimination of the prognostic score was evaluated using good of fit test and Harrel’s C index, respectively. RESULTS: A total of 115 high grade meningioma patients (72 atypical and 43 anaplastic meningiomas) were enrolled. Three factors were independently associated with progression-free survival (PFS): extent of resection (GTR vs. STR), recurrent status (de novo vs. recurrent), and Ki-67 labeling index (<5% vs. ≥ 5%). The respective β-coefficients were used to generate the “prognostic score”. The cohort was divided into low-risk and high-risk groups based on the median prognostic score. Good of fit test showed strong calibration (P = 0.7133) and Harrel’s C index 0.766 indicated a strong discrimination capability of the prognostic score. The Harrel’s C index for OS was 0.60. CONCLUSIONS: Our prognostic model using three basic clinical parameters robustly separated high grade meningioma patients who benefit vs. do not benefit from adjuvant radiotherapy. External validation of our model is warranted to help improve patient selection suitable for adjuvant radiotherapy. |
format | Online Article Text |
id | pubmed-7683714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76837142020-11-24 Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma Wang, Daijun Sun, Shuchen Hua, Lingyang Deng, Jiaojiao Luan, Shihai Cheng, Haixia Xie, Qing Wakimoto, Hiroaki Zhu, Hongda Gong, Ye Front Oncol Oncology OBJECTIVE: Adjuvant radiotherapy is the main treatment modality for high grade meningioma after surgical resection; however, recurrence and survival outcomes vary. The aim of this study was to create a new “prognostic score” that allows personalized recommendations for post-operative adjuvant radiotherapy in patients with high grade meningioma. METHODS: Clinical data were collected from 115 patients with high grade meningioma treated with surgical resection and adjuvant radiotherapy. A prognostic model was built based on the hazards ratios of independent prognostic factors yielded by multivariate cox proportional analysis. Calibration and discrimination of the prognostic score was evaluated using good of fit test and Harrel’s C index, respectively. RESULTS: A total of 115 high grade meningioma patients (72 atypical and 43 anaplastic meningiomas) were enrolled. Three factors were independently associated with progression-free survival (PFS): extent of resection (GTR vs. STR), recurrent status (de novo vs. recurrent), and Ki-67 labeling index (<5% vs. ≥ 5%). The respective β-coefficients were used to generate the “prognostic score”. The cohort was divided into low-risk and high-risk groups based on the median prognostic score. Good of fit test showed strong calibration (P = 0.7133) and Harrel’s C index 0.766 indicated a strong discrimination capability of the prognostic score. The Harrel’s C index for OS was 0.60. CONCLUSIONS: Our prognostic model using three basic clinical parameters robustly separated high grade meningioma patients who benefit vs. do not benefit from adjuvant radiotherapy. External validation of our model is warranted to help improve patient selection suitable for adjuvant radiotherapy. Frontiers Media S.A. 2020-11-10 /pmc/articles/PMC7683714/ /pubmed/33240812 http://dx.doi.org/10.3389/fonc.2020.568079 Text en Copyright © 2020 Wang, Sun, Hua, Deng, Luan, Cheng, Xie, Wakimoto, Zhu and Gong http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wang, Daijun Sun, Shuchen Hua, Lingyang Deng, Jiaojiao Luan, Shihai Cheng, Haixia Xie, Qing Wakimoto, Hiroaki Zhu, Hongda Gong, Ye Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma |
title | Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma |
title_full | Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma |
title_fullStr | Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma |
title_full_unstemmed | Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma |
title_short | Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma |
title_sort | prognostic model that predicts benefits of adjuvant radiotherapy in patients with high grade meningioma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683714/ https://www.ncbi.nlm.nih.gov/pubmed/33240812 http://dx.doi.org/10.3389/fonc.2020.568079 |
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