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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Frontiers Media S.A.
2020-12-01
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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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