Cargando…

A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma

BACKGROUND: Glioblastoma (GBM) is one of the most malignant types of tumors in the central nervous system, and the 5-year survival remains low. Several studies have shown that preoperative peripheral blood tests and preoperative conventional Magnetic Resonance Imaging (MRI) examinations affect the p...

Descripción completa

Detalles Bibliográficos
Autores principales: Rao, Changjun, Jin, Jinghao, Lu, Jianglong, Wang, Chengde, Wu, Zerui, Zhu, Zhangzhang, Tu, Ming, Su, Zhipeng, Li, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893080/
https://www.ncbi.nlm.nih.gov/pubmed/35250826
http://dx.doi.org/10.3389/fneur.2022.822735
_version_ 1784662309115789312
author Rao, Changjun
Jin, Jinghao
Lu, Jianglong
Wang, Chengde
Wu, Zerui
Zhu, Zhangzhang
Tu, Ming
Su, Zhipeng
Li, Qun
author_facet Rao, Changjun
Jin, Jinghao
Lu, Jianglong
Wang, Chengde
Wu, Zerui
Zhu, Zhangzhang
Tu, Ming
Su, Zhipeng
Li, Qun
author_sort Rao, Changjun
collection PubMed
description BACKGROUND: Glioblastoma (GBM) is one of the most malignant types of tumors in the central nervous system, and the 5-year survival remains low. Several studies have shown that preoperative peripheral blood tests and preoperative conventional Magnetic Resonance Imaging (MRI) examinations affect the prognosis of GBM patients. Therefore, it is necessary to construct a risk score based on a preoperative peripheral blood test and conventional MRI and develop a multielement prognostic nomogram for GBM. METHODS: This study retrospectively analyzed 131 GBM patients. Determination of the association between peripheral blood test variables and conventional MRI variables and prognosis was performed by univariate Cox regression. The nomogram model, which was internally validated using a cohort of 56 GBM patients, was constructed by multivariate Cox regression. RNA sequencing data from Gene Expression Omnibus (GEO) and Chinese Glioma Genome Atlas (CGGA datasets were used to determine peripheral blood test-related genes based on GBM prognosis. RESULTS: The constructed risk score included the neutrophil/lymphocyte ratio (NLR), lymphocyte/monocyte ratio (LMR), albumin/fibrinogen (AFR), platelet/lymphocyte ratio (PLR), and center point–to-ventricle distance (CPVD). A final nomogram was developed using factors associated with prognosis, including age, sex, the extent of tumor resection, IDH mutation status, radiotherapy status, chemotherapy status, and risk. The Area Under Curve (AUC) values of the receiver operating characteristic curve (ROC) curve were 0.876 (12-month ROC), 0.834 (24-month ROC) and 0.803 (36-month ROC) in the training set and 0.906 (12-month ROC), 0.800 (18-month ROC) and 0.776 (24-month ROC) in the validation set. In addition, vascular endothelial growth factor A (VEGFA) was closely associated with NLR and LMR and identified as the most central negative gene related to the immune microenvironment and influencing immune activities. CONCLUSION: The risk score was established as an independent predictor of GBM prognosis, and the nomogram model exhibit appropriate predictive power. In addition, VEGFA is the key peripheral blood test-related gene that is significantly associated with poor prognosis.
format Online
Article
Text
id pubmed-8893080
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88930802022-03-04 A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma Rao, Changjun Jin, Jinghao Lu, Jianglong Wang, Chengde Wu, Zerui Zhu, Zhangzhang Tu, Ming Su, Zhipeng Li, Qun Front Neurol Neurology BACKGROUND: Glioblastoma (GBM) is one of the most malignant types of tumors in the central nervous system, and the 5-year survival remains low. Several studies have shown that preoperative peripheral blood tests and preoperative conventional Magnetic Resonance Imaging (MRI) examinations affect the prognosis of GBM patients. Therefore, it is necessary to construct a risk score based on a preoperative peripheral blood test and conventional MRI and develop a multielement prognostic nomogram for GBM. METHODS: This study retrospectively analyzed 131 GBM patients. Determination of the association between peripheral blood test variables and conventional MRI variables and prognosis was performed by univariate Cox regression. The nomogram model, which was internally validated using a cohort of 56 GBM patients, was constructed by multivariate Cox regression. RNA sequencing data from Gene Expression Omnibus (GEO) and Chinese Glioma Genome Atlas (CGGA datasets were used to determine peripheral blood test-related genes based on GBM prognosis. RESULTS: The constructed risk score included the neutrophil/lymphocyte ratio (NLR), lymphocyte/monocyte ratio (LMR), albumin/fibrinogen (AFR), platelet/lymphocyte ratio (PLR), and center point–to-ventricle distance (CPVD). A final nomogram was developed using factors associated with prognosis, including age, sex, the extent of tumor resection, IDH mutation status, radiotherapy status, chemotherapy status, and risk. The Area Under Curve (AUC) values of the receiver operating characteristic curve (ROC) curve were 0.876 (12-month ROC), 0.834 (24-month ROC) and 0.803 (36-month ROC) in the training set and 0.906 (12-month ROC), 0.800 (18-month ROC) and 0.776 (24-month ROC) in the validation set. In addition, vascular endothelial growth factor A (VEGFA) was closely associated with NLR and LMR and identified as the most central negative gene related to the immune microenvironment and influencing immune activities. CONCLUSION: The risk score was established as an independent predictor of GBM prognosis, and the nomogram model exhibit appropriate predictive power. In addition, VEGFA is the key peripheral blood test-related gene that is significantly associated with poor prognosis. Frontiers Media S.A. 2022-02-09 /pmc/articles/PMC8893080/ /pubmed/35250826 http://dx.doi.org/10.3389/fneur.2022.822735 Text en Copyright © 2022 Rao, Jin, Lu, Wang, Wu, Zhu, Tu, Su and Li. https://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 Neurology
Rao, Changjun
Jin, Jinghao
Lu, Jianglong
Wang, Chengde
Wu, Zerui
Zhu, Zhangzhang
Tu, Ming
Su, Zhipeng
Li, Qun
A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma
title A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma
title_full A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma
title_fullStr A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma
title_full_unstemmed A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma
title_short A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma
title_sort multielement prognostic nomogram based on a peripheral blood test, conventional mri and clinical factors for glioblastoma
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893080/
https://www.ncbi.nlm.nih.gov/pubmed/35250826
http://dx.doi.org/10.3389/fneur.2022.822735
work_keys_str_mv AT raochangjun amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT jinjinghao amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT lujianglong amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT wangchengde amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT wuzerui amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT zhuzhangzhang amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT tuming amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT suzhipeng amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT liqun amultielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT raochangjun multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT jinjinghao multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT lujianglong multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT wangchengde multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT wuzerui multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT zhuzhangzhang multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT tuming multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT suzhipeng multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma
AT liqun multielementprognosticnomogrambasedonaperipheralbloodtestconventionalmriandclinicalfactorsforglioblastoma