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TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases

BACKGROUND: Brain metastases are the most common intracranial tumors in adults, with a very poor prognosis, and poses distinct clinical challenges. This study aimed to develop a more accurate prognostic nomogram for predicting overall survival (OS) of patients with Brain Metastases. METHODS: We cond...

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Autores principales: Wang, Zhenning, He, Zhenqiang, Jiang, Xiaobing, Guo, Chengcheng, Mou, Yonggao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351209/
http://dx.doi.org/10.1093/noajnl/vdab071.022
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author Wang, Zhenning
He, Zhenqiang
Jiang, Xiaobing
Guo, Chengcheng
Mou, Yonggao
author_facet Wang, Zhenning
He, Zhenqiang
Jiang, Xiaobing
Guo, Chengcheng
Mou, Yonggao
author_sort Wang, Zhenning
collection PubMed
description BACKGROUND: Brain metastases are the most common intracranial tumors in adults, with a very poor prognosis, and poses distinct clinical challenges. This study aimed to develop a more accurate prognostic nomogram for predicting overall survival (OS) of patients with Brain Metastases. METHODS: We conducted a retrospective analysis of 1062 patients with brain metastases at the Sun Yat-sen University Cancer Center (SYSUCC, Guangzhou, China) between January 2010 and January 2018, Among them, 331 patients underwent surgery to remove brain metastases. Kaplan–Meier analysis was performed to screen for potential clinical variables that could be used to establish the nomogram for predicting overall survival. RESULTS: We found that age,gender, whether to remove intracranial lesions, radiotherapy, ECOG were independent prognostic factors for predicting the overall survival with brain metastases,and surgical resection for brain metastatic lesions could significantly improve OS,but only in certain groups of patients with brain metastases can benefit from intracranial lesion resection, such as no extracranial metastasis. And patients with brain metastases whose primary tumor is lung adenocarcinoma or breast cancer are more likely to benefit from surgery in terms of overall survival time.A nomogram for predicting 1- and 2-year overall survival rates was constructed, which exhibited good accuracy in predicting overall survival. CONCLUSION: Through statistical analysis, we have found the factors related to the surgical benefit of patients with brain metastases, and established a prognostic nonogram,This nomogram may be used to guide individual treatments and in selecting an appropriate patient population for clinical trials.
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spelling pubmed-83512092021-08-09 TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases Wang, Zhenning He, Zhenqiang Jiang, Xiaobing Guo, Chengcheng Mou, Yonggao Neurooncol Adv Supplement Abstracts BACKGROUND: Brain metastases are the most common intracranial tumors in adults, with a very poor prognosis, and poses distinct clinical challenges. This study aimed to develop a more accurate prognostic nomogram for predicting overall survival (OS) of patients with Brain Metastases. METHODS: We conducted a retrospective analysis of 1062 patients with brain metastases at the Sun Yat-sen University Cancer Center (SYSUCC, Guangzhou, China) between January 2010 and January 2018, Among them, 331 patients underwent surgery to remove brain metastases. Kaplan–Meier analysis was performed to screen for potential clinical variables that could be used to establish the nomogram for predicting overall survival. RESULTS: We found that age,gender, whether to remove intracranial lesions, radiotherapy, ECOG were independent prognostic factors for predicting the overall survival with brain metastases,and surgical resection for brain metastatic lesions could significantly improve OS,but only in certain groups of patients with brain metastases can benefit from intracranial lesion resection, such as no extracranial metastasis. And patients with brain metastases whose primary tumor is lung adenocarcinoma or breast cancer are more likely to benefit from surgery in terms of overall survival time.A nomogram for predicting 1- and 2-year overall survival rates was constructed, which exhibited good accuracy in predicting overall survival. CONCLUSION: Through statistical analysis, we have found the factors related to the surgical benefit of patients with brain metastases, and established a prognostic nonogram,This nomogram may be used to guide individual treatments and in selecting an appropriate patient population for clinical trials. Oxford University Press 2021-08-09 /pmc/articles/PMC8351209/ http://dx.doi.org/10.1093/noajnl/vdab071.022 Text en © The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Supplement Abstracts
Wang, Zhenning
He, Zhenqiang
Jiang, Xiaobing
Guo, Chengcheng
Mou, Yonggao
TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases
title TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases
title_full TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases
title_fullStr TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases
title_full_unstemmed TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases
title_short TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases
title_sort trls-04. a nomogram for predicting survival in patients with brain metastases
topic Supplement Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351209/
http://dx.doi.org/10.1093/noajnl/vdab071.022
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