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Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors

INTRODUCTION: Elderly glioblastoma (GBM) patients is characterized by high incidence and poor prognosis. Currently, however, there is still a lack of adequate molecular characterization of elderly GBM patients. The fifth edition of the WHO Classification of Central Nervous System Tumors (WHO5) gives...

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Autores principales: Wang, Yaning, Li, Junlin, Cao, Yaning, Chen, Wenlin, Xing, Hao, Guo, Xiaopeng, Shi, Yixin, Wang, Yuekun, Liang, Tingyu, Ye, Liguo, Liu, Delin, Yang, Tianrui, Wang, Yu, Ma, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288210/
https://www.ncbi.nlm.nih.gov/pubmed/37360159
http://dx.doi.org/10.3389/fnins.2023.1165823
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author Wang, Yaning
Li, Junlin
Cao, Yaning
Chen, Wenlin
Xing, Hao
Guo, Xiaopeng
Shi, Yixin
Wang, Yuekun
Liang, Tingyu
Ye, Liguo
Liu, Delin
Yang, Tianrui
Wang, Yu
Ma, Wenbin
author_facet Wang, Yaning
Li, Junlin
Cao, Yaning
Chen, Wenlin
Xing, Hao
Guo, Xiaopeng
Shi, Yixin
Wang, Yuekun
Liang, Tingyu
Ye, Liguo
Liu, Delin
Yang, Tianrui
Wang, Yu
Ma, Wenbin
author_sort Wang, Yaning
collection PubMed
description INTRODUCTION: Elderly glioblastoma (GBM) patients is characterized by high incidence and poor prognosis. Currently, however, there is still a lack of adequate molecular characterization of elderly GBM patients. The fifth edition of the WHO Classification of Central Nervous System Tumors (WHO5) gives a new classification approach for GBM, and the molecular characteristics of elderly GBM patients need to be investigated under this new framework. METHODS: The clinical and radiological features of patients with different classifications and different ages were compared. Potential prognostic molecular markers in elderly GBM patients under the WHO5 classification were found using Univariate Cox regression and Kaplan–Meier survival analysis. RESULTS: A total of 226 patients were included in the study. The prognostic differences between younger and elderly GBM patients were more pronounced under the WHO5 classification. Neurological impairment was more common in elderly patients (p = 0.001), while intracranial hypertension (p = 0.034) and epilepsy (p = 0.038) were more common in younger patients. Elderly patients were more likely to have higher Ki-67(p = 0.013), and in elderly WHO5 GBM patients, KMT5B (p = 0.082), KRAS (p = 0.1) and PPM1D (p = 0.055) were each associated with overall survival (OS). Among them, KRAS and PPM1D were found to be prognostic features unique to WHO5 elderly GBM patients. CONCLUSION: Our study demonstrates that WHO5 classification can better distinguish the prognosis of elderly and younger GBM. Furthermore, KRAS and PPM1D may be potential prognostic predictors in WHO5 elderly GBM patients. The specific mechanism of these two genes in elderly GBM remains to be further studied.
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spelling pubmed-102882102023-06-24 Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors Wang, Yaning Li, Junlin Cao, Yaning Chen, Wenlin Xing, Hao Guo, Xiaopeng Shi, Yixin Wang, Yuekun Liang, Tingyu Ye, Liguo Liu, Delin Yang, Tianrui Wang, Yu Ma, Wenbin Front Neurosci Neuroscience INTRODUCTION: Elderly glioblastoma (GBM) patients is characterized by high incidence and poor prognosis. Currently, however, there is still a lack of adequate molecular characterization of elderly GBM patients. The fifth edition of the WHO Classification of Central Nervous System Tumors (WHO5) gives a new classification approach for GBM, and the molecular characteristics of elderly GBM patients need to be investigated under this new framework. METHODS: The clinical and radiological features of patients with different classifications and different ages were compared. Potential prognostic molecular markers in elderly GBM patients under the WHO5 classification were found using Univariate Cox regression and Kaplan–Meier survival analysis. RESULTS: A total of 226 patients were included in the study. The prognostic differences between younger and elderly GBM patients were more pronounced under the WHO5 classification. Neurological impairment was more common in elderly patients (p = 0.001), while intracranial hypertension (p = 0.034) and epilepsy (p = 0.038) were more common in younger patients. Elderly patients were more likely to have higher Ki-67(p = 0.013), and in elderly WHO5 GBM patients, KMT5B (p = 0.082), KRAS (p = 0.1) and PPM1D (p = 0.055) were each associated with overall survival (OS). Among them, KRAS and PPM1D were found to be prognostic features unique to WHO5 elderly GBM patients. CONCLUSION: Our study demonstrates that WHO5 classification can better distinguish the prognosis of elderly and younger GBM. Furthermore, KRAS and PPM1D may be potential prognostic predictors in WHO5 elderly GBM patients. The specific mechanism of these two genes in elderly GBM remains to be further studied. Frontiers Media S.A. 2023-06-09 /pmc/articles/PMC10288210/ /pubmed/37360159 http://dx.doi.org/10.3389/fnins.2023.1165823 Text en Copyright © 2023 Wang, Li, Cao, Chen, Xing, Guo, Shi, Wang, Liang, Ye, Liu, Yang, Wang and Ma. 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 Neuroscience
Wang, Yaning
Li, Junlin
Cao, Yaning
Chen, Wenlin
Xing, Hao
Guo, Xiaopeng
Shi, Yixin
Wang, Yuekun
Liang, Tingyu
Ye, Liguo
Liu, Delin
Yang, Tianrui
Wang, Yu
Ma, Wenbin
Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors
title Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors
title_full Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors
title_fullStr Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors
title_full_unstemmed Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors
title_short Characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 WHO Classification of Central Nervous System Tumors
title_sort characteristic analysis and identification of novel molecular biomarkers in elderly glioblastoma patients using the 2021 who classification of central nervous system tumors
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288210/
https://www.ncbi.nlm.nih.gov/pubmed/37360159
http://dx.doi.org/10.3389/fnins.2023.1165823
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