Cargando…

Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment

Secondary glioblastomas (sGBM) are derived from previously lower-grade [World Health Organization (WHO) grades II or III] gliomas. Lower-grade benign-behaving gliomas may retain their former grade following recurrence, or may become malignant higher-grade glioblastomas. Prediction of tumor behavior...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Ruo-Lun, Zhang, Li-Wei, Li, Jian-Guo, Yang, Feng-Dong, Xue, Ya-Ke, Wei, Xin-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774016/
https://www.ncbi.nlm.nih.gov/pubmed/33392065
http://dx.doi.org/10.3389/fonc.2020.538133
_version_ 1783630175951388672
author Wei, Ruo-Lun
Zhang, Li-Wei
Li, Jian-Guo
Yang, Feng-Dong
Xue, Ya-Ke
Wei, Xin-Ting
author_facet Wei, Ruo-Lun
Zhang, Li-Wei
Li, Jian-Guo
Yang, Feng-Dong
Xue, Ya-Ke
Wei, Xin-Ting
author_sort Wei, Ruo-Lun
collection PubMed
description Secondary glioblastomas (sGBM) are derived from previously lower-grade [World Health Organization (WHO) grades II or III] gliomas. Lower-grade benign-behaving gliomas may retain their former grade following recurrence, or may become malignant higher-grade glioblastomas. Prediction of tumor behavior in lower-grade gliomas is critical for individualized glioma therapy. A total of 89 patients were included between January 2000 and January 2019 in the present study to establish a nomogram via univariate and multivariate logistic regression analyses. Nomogram predictive performance was tested in the validation group. We then analyzed 36 O-6-methylguanine-DNA methyltransferase (MGMT) unmethylated lower-grade gliomas from patients seen at West China Hospital of Sichuan University. Survival statistics were calculated with the Kaplan-Meier method. Two clinical factors (molecular diagnosis and WHO grade), five radiological factors (location, cortical involvement, multicentricity, uniformity, and margin enhancement), one biomarker (1p19q codeletion), and a combination of three biomarkers (IDH+/ATRX-/TP53-) were associated with glioma upgrading. Nomograms positive for these prognostic factors had an AUC of 0.880 in the derivation group and 0.857 in the validation group. The calibration and score-stratified survival curves for the derivation group and validation group were good. An operational nomogram was published at https://warrenwrl.shinyapps.io/DynNomapp/. The overall survival of secondary gliomas in the MGMT-unmethylated cohort were influenced independently by the use of temozolomide during the treatment of formerly low-grade gliomas (p=0.00096). Clinical and radiological factors and biomarker-based behavior-oriented nomograms may offer a feasible identification tool for the detection of sGBM precursors. This method may further assist neurosurgeons with the stratification of lower-grade glioma cases and thus the development of better, more individualized treatment plans.
format Online
Article
Text
id pubmed-7774016
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-77740162021-01-01 Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment Wei, Ruo-Lun Zhang, Li-Wei Li, Jian-Guo Yang, Feng-Dong Xue, Ya-Ke Wei, Xin-Ting Front Oncol Oncology Secondary glioblastomas (sGBM) are derived from previously lower-grade [World Health Organization (WHO) grades II or III] gliomas. Lower-grade benign-behaving gliomas may retain their former grade following recurrence, or may become malignant higher-grade glioblastomas. Prediction of tumor behavior in lower-grade gliomas is critical for individualized glioma therapy. A total of 89 patients were included between January 2000 and January 2019 in the present study to establish a nomogram via univariate and multivariate logistic regression analyses. Nomogram predictive performance was tested in the validation group. We then analyzed 36 O-6-methylguanine-DNA methyltransferase (MGMT) unmethylated lower-grade gliomas from patients seen at West China Hospital of Sichuan University. Survival statistics were calculated with the Kaplan-Meier method. Two clinical factors (molecular diagnosis and WHO grade), five radiological factors (location, cortical involvement, multicentricity, uniformity, and margin enhancement), one biomarker (1p19q codeletion), and a combination of three biomarkers (IDH+/ATRX-/TP53-) were associated with glioma upgrading. Nomograms positive for these prognostic factors had an AUC of 0.880 in the derivation group and 0.857 in the validation group. The calibration and score-stratified survival curves for the derivation group and validation group were good. An operational nomogram was published at https://warrenwrl.shinyapps.io/DynNomapp/. The overall survival of secondary gliomas in the MGMT-unmethylated cohort were influenced independently by the use of temozolomide during the treatment of formerly low-grade gliomas (p=0.00096). Clinical and radiological factors and biomarker-based behavior-oriented nomograms may offer a feasible identification tool for the detection of sGBM precursors. This method may further assist neurosurgeons with the stratification of lower-grade glioma cases and thus the development of better, more individualized treatment plans. Frontiers Media S.A. 2020-12-17 /pmc/articles/PMC7774016/ /pubmed/33392065 http://dx.doi.org/10.3389/fonc.2020.538133 Text en Copyright © 2020 Wei, Zhang, Li, Yang, Xue and Wei 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
Wei, Ruo-Lun
Zhang, Li-Wei
Li, Jian-Guo
Yang, Feng-Dong
Xue, Ya-Ke
Wei, Xin-Ting
Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment
title Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment
title_full Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment
title_fullStr Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment
title_full_unstemmed Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment
title_short Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized Treatment
title_sort behavior-oriented nomogram for the stratification of lower-grade gliomas to improve individualized treatment
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774016/
https://www.ncbi.nlm.nih.gov/pubmed/33392065
http://dx.doi.org/10.3389/fonc.2020.538133
work_keys_str_mv AT weiruolun behaviororientednomogramforthestratificationoflowergradegliomastoimproveindividualizedtreatment
AT zhangliwei behaviororientednomogramforthestratificationoflowergradegliomastoimproveindividualizedtreatment
AT lijianguo behaviororientednomogramforthestratificationoflowergradegliomastoimproveindividualizedtreatment
AT yangfengdong behaviororientednomogramforthestratificationoflowergradegliomastoimproveindividualizedtreatment
AT xueyake behaviororientednomogramforthestratificationoflowergradegliomastoimproveindividualizedtreatment
AT weixinting behaviororientednomogramforthestratificationoflowergradegliomastoimproveindividualizedtreatment