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

BACKGROUND: The 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 prognosi...

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Autores principales: Zhang, Zhe, Jin, Zeping, Liu, Dayuan, Zhang, Yang, Li, Chunzhao, Miao, Yazhou, Chi, Xiaohan, Feng, Jie, Wang, Yaming, Hao, Shuyu, Ji, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739947/
https://www.ncbi.nlm.nih.gov/pubmed/33344248
http://dx.doi.org/10.3389/fonc.2020.598965
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author Zhang, Zhe
Jin, Zeping
Liu, Dayuan
Zhang, Yang
Li, Chunzhao
Miao, Yazhou
Chi, Xiaohan
Feng, Jie
Wang, Yaming
Hao, Shuyu
Ji, Nan
author_facet Zhang, Zhe
Jin, Zeping
Liu, Dayuan
Zhang, Yang
Li, Chunzhao
Miao, Yazhou
Chi, Xiaohan
Feng, Jie
Wang, Yaming
Hao, Shuyu
Ji, Nan
author_sort Zhang, Zhe
collection PubMed
description BACKGROUND: The 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. METHODS: Data 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. RESULTS: The Cox proportional hazards model was used to establish nomograms for this study. Older age at diagnosis, Karnofsky performance status (KPS)<70, unmethylated O(6)-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. CONCLUSIONS: An 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 pubmed-77399472020-12-17 A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors Zhang, Zhe Jin, Zeping Liu, Dayuan Zhang, Yang Li, Chunzhao Miao, Yazhou Chi, Xiaohan Feng, Jie Wang, Yaming Hao, Shuyu Ji, Nan Front Oncol Oncology BACKGROUND: The 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. METHODS: Data 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. RESULTS: The Cox proportional hazards model was used to establish nomograms for this study. Older age at diagnosis, Karnofsky performance status (KPS)<70, unmethylated O(6)-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. CONCLUSIONS: An 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. Frontiers Media S.A. 2020-12-02 /pmc/articles/PMC7739947/ /pubmed/33344248 http://dx.doi.org/10.3389/fonc.2020.598965 Text en Copyright © 2020 Zhang, Jin, Liu, Zhang, Li, Miao, Chi, Feng, Wang, Hao and Ji 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
Zhang, Zhe
Jin, Zeping
Liu, Dayuan
Zhang, Yang
Li, Chunzhao
Miao, Yazhou
Chi, Xiaohan
Feng, Jie
Wang, Yaming
Hao, Shuyu
Ji, Nan
A Nomogram Predicts Individual Prognosis in Patients With Newly Diagnosed Glioblastoma by Integrating the Extent of Resection of Non-Enhancing Tumors
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 Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739947/
https://www.ncbi.nlm.nih.gov/pubmed/33344248
http://dx.doi.org/10.3389/fonc.2020.598965
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