A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors

BackgroundThe extent of resection of non-contrast enhancing tumors (EOR-NCEs) has been shown to be associated with prognosis in patients with newly diagnosed glioblastoma (nGBM). This study aimed to develop and independently validate a nomogram integrated with EOR-NCE to assess individual prognosis....

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Main Authors: Zhe Zhang, Zeping Jin, Dayuan Liu, Yang Zhang, Chunzhao Li, Yazhou Miao, Xiaohan Chi, Jie Feng, Yaming Wang, Shuyu Hao, Nan Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.598965/full
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author Zhe Zhang
Zhe Zhang
Zeping Jin
Zeping Jin
Dayuan Liu
Yang Zhang
Yang Zhang
Chunzhao Li
Chunzhao Li
Yazhou Miao
Yazhou Miao
Xiaohan Chi
Xiaohan Chi
Jie Feng
Jie Feng
Jie Feng
Yaming Wang
Shuyu Hao
Shuyu Hao
Nan Ji
Nan Ji
Nan Ji
author_facet Zhe Zhang
Zhe Zhang
Zeping Jin
Zeping Jin
Dayuan Liu
Yang Zhang
Yang Zhang
Chunzhao Li
Chunzhao Li
Yazhou Miao
Yazhou Miao
Xiaohan Chi
Xiaohan Chi
Jie Feng
Jie Feng
Jie Feng
Yaming Wang
Shuyu Hao
Shuyu Hao
Nan Ji
Nan Ji
Nan Ji
author_sort Zhe Zhang
collection DOAJ
description BackgroundThe extent of resection of non-contrast enhancing tumors (EOR-NCEs) has been shown to be associated with prognosis in patients with newly diagnosed glioblastoma (nGBM). This study aimed to develop and independently validate a nomogram integrated with EOR-NCE to assess individual prognosis.MethodsData for this nomogram were based on 301 patients hospitalized for nGBM from October 2011 to April 2019 at the Beijing Tiantan Hospital, Capital Medical University. These patients were randomly divided into derivation (n=181) and validation (n=120) cohorts at a ratio of 6:4. To evaluate predictive accuracy, discriminative ability, and clinical net benefit, concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were calculated for the extent of resection of contrast enhancing tumor (EOR-CE) and EOR-NCE nomograms. Comparison between these two models was performed as well.ResultsThe Cox proportional hazards model was used to establish nomograms for this study. Older age at diagnosis, Karnofsky performance status (KPS)<70, unmethylated O6-methylguanine-DNA methyltransferase (MGMT) status, wild-type isocitrate dehydrogenase enzyme (IDH), and lower EOR-CE and EOR-NCE were independent factors associated with shorter survival. The EOR-NCE nomogram had a higher C-index than the EOR-CE nomogram. Its calibration curve for the probability of survival exhibited good agreement between the identical and actual probabilities. The EOR-NCE nomogram showed superior net benefits and improved performance over the EOR-CE nomogram with respect to DCA and ROC for survival probability. These results were also confirmed in the validation cohort.ConclusionsAn EOR-NCE nomogram assessing individualized survival probabilities (12-, 18-, and 24-month) for patients with nGBM could be useful to provide patients and their relatives with health care consultations on optimizing therapeutic approaches and prognosis.
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spelling doaj.art-a0a95dd618144c8c9918f5e92c5cab682022-12-21T17:01:11ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-12-011010.3389/fonc.2020.598965598965A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing TumorsZhe Zhang0Zhe Zhang1Zeping Jin2Zeping Jin3Dayuan Liu4Yang Zhang5Yang Zhang6Chunzhao Li7Chunzhao Li8Yazhou Miao9Yazhou Miao10Xiaohan Chi11Xiaohan Chi12Jie Feng13Jie Feng14Jie Feng15Yaming Wang16Shuyu Hao17Shuyu Hao18Nan Ji19Nan Ji20Nan Ji21Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Hainan Medical University, Haikou, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaBeijing Cancer Institute, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaNational Clinical Research Center for Neurological Diseases (China), Beijing, ChinaBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, ChinaBackgroundThe extent of resection of non-contrast enhancing tumors (EOR-NCEs) has been shown to be associated with prognosis in patients with newly diagnosed glioblastoma (nGBM). This study aimed to develop and independently validate a nomogram integrated with EOR-NCE to assess individual prognosis.MethodsData for this nomogram were based on 301 patients hospitalized for nGBM from October 2011 to April 2019 at the Beijing Tiantan Hospital, Capital Medical University. These patients were randomly divided into derivation (n=181) and validation (n=120) cohorts at a ratio of 6:4. To evaluate predictive accuracy, discriminative ability, and clinical net benefit, concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were calculated for the extent of resection of contrast enhancing tumor (EOR-CE) and EOR-NCE nomograms. Comparison between these two models was performed as well.ResultsThe Cox proportional hazards model was used to establish nomograms for this study. Older age at diagnosis, Karnofsky performance status (KPS)<70, unmethylated O6-methylguanine-DNA methyltransferase (MGMT) status, wild-type isocitrate dehydrogenase enzyme (IDH), and lower EOR-CE and EOR-NCE were independent factors associated with shorter survival. The EOR-NCE nomogram had a higher C-index than the EOR-CE nomogram. Its calibration curve for the probability of survival exhibited good agreement between the identical and actual probabilities. The EOR-NCE nomogram showed superior net benefits and improved performance over the EOR-CE nomogram with respect to DCA and ROC for survival probability. These results were also confirmed in the validation cohort.ConclusionsAn EOR-NCE nomogram assessing individualized survival probabilities (12-, 18-, and 24-month) for patients with nGBM could be useful to provide patients and their relatives with health care consultations on optimizing therapeutic approaches and prognosis.https://www.frontiersin.org/articles/10.3389/fonc.2020.598965/fullnewly diagnosed glioblastomaextent of resectionnon-contrast enhancing tumornomogramprognosis
spellingShingle Zhe Zhang
Zhe Zhang
Zeping Jin
Zeping Jin
Dayuan Liu
Yang Zhang
Yang Zhang
Chunzhao Li
Chunzhao Li
Yazhou Miao
Yazhou Miao
Xiaohan Chi
Xiaohan Chi
Jie Feng
Jie Feng
Jie Feng
Yaming Wang
Shuyu Hao
Shuyu Hao
Nan Ji
Nan Ji
Nan Ji
A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors
Frontiers in Oncology
newly diagnosed glioblastoma
extent of resection
non-contrast enhancing tumor
nomogram
prognosis
title A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors
title_full A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors
title_fullStr A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors
title_full_unstemmed A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors
title_short A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors
title_sort nomogram predicts individual prognosis in patients with newly diagnosed glioblastoma by integrating the extent of resection of non enhancing tumors
topic newly diagnosed glioblastoma
extent of resection
non-contrast enhancing tumor
nomogram
prognosis
url https://www.frontiersin.org/articles/10.3389/fonc.2020.598965/full
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