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      Contrahemispheric Cortex Predicts Survival and Molecular Markers in Patients With Unilateral High-Grade Gliomas

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          Abstract

          Background: Malignant high-grade gliomas are characterized by infiltration and destruction of surrounding brain tissue. Alterations in the contrahemispheric brain structure and their roles that may offer prognostically valuable information have not been investigated in high-grade gliomas.

          Methods: In total, 153 patients with unilateral glioma (low-grade, n = 77; high-grade, n = 76) and 115 healthy controls (HCs) were recruited and scanned with 3-D T1 imaging. The gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) volume in the contrahemisphere were examined. Partial correlation, logistic regression, and multivariate Cox's regression analyses were performed.

          Results: The contrahemispheric GM volume (CHGMV) in the high-grade glioma patients was significantly decreased compared to that in the HCs/low-grade gliomas (one-way ANOVA, Bonferroni corrected, p < 0.05). The CHGMV is significantly correlated with the WHO grade ( r = −0.22, p < 0.05) and contrast-enhanced volume ( r = −0.33, p < 0.01). In the high-grade gliomas, the binary logistic regression revealed that the CHGMV can independently predict isocitrate dehydrogenase 1 (IDH1) and P53 mutations. The survival curves revealed that the patients with a low CHGMV had a shorter overall survival (OS) than the patients with a high CHGMV ( p = 0.001). The multivariate Cox's regression analysis showed that a low CHGMV can independently predict unfavorable OS with a hazard ratio of 2.883 ( p = 0.035).

          Conclusions: Volume of the contrahemispheric cortex can be potentially used in clinical practice as an imaging biomarker to predict survival and molecular markers in patients with unilateral high-grade gliomas.

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          Most cited references33

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          Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis.

          Previously undescribed prognostic subclasses of high-grade astrocytoma are identified and discovered to resemble stages in neurogenesis. One tumor class displaying neuronal lineage markers shows longer survival, while two tumor classes enriched for neural stem cell markers display equally short survival. Poor prognosis subclasses exhibit markers either of proliferation or of angiogenesis and mesenchyme. Upon recurrence, tumors frequently shift toward the mesenchymal subclass. Chromosomal locations of genes distinguishing tumor subclass parallel DNA copy number differences between subclasses. Functional relevance of tumor subtype molecular signatures is suggested by the ability of cell line signatures to predict neurosphere growth. A robust two-gene prognostic model utilizing PTEN and DLL3 expression suggests that Akt and Notch signaling are hallmarks of poor prognosis versus better prognosis gliomas, respectively.
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            Advances in the molecular genetics of gliomas — implications for classification and therapy

            In 2016, a revised WHO classification of glioma was published, in which molecular data and traditional histological information are incorporated into integrated diagnoses. Herein, the authors highlight the developments in our understanding of the molecular genetics of gliomas that underlie this classification, and review the current landscape of molecular biomarkers used in the classification of disease subtypes. In addition, they discuss how these advances can promote the development of novel pathogenesis-based therapeutic approaches, paving the way to precision medicine.
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              Immune microenvironment of gliomas

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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                23 July 2020
                2020
                : 10
                : 953
                Affiliations
                [1] 1Beijing Neurosurgical Institute, Capital Medical University , Beijing, China
                [2] 2State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences , Beijing, China
                [3] 3Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University , Beijing, China
                [4] 4China National Clinical Research Center for Neurological Diseases , Beijing, China
                [5] 5Beijing Institute for Brain Disorders Brain Tumor Center , Beijing, China
                Author notes

                Edited by: Sunit Das, St. Michael's Hospital, Canada

                Reviewed by: Kerstin Jütten, University Hospital RWTH Aachen, Germany; An-hua Wu, The First Affiliated Hospital of China Medical University, China

                *Correspondence: Yazhuo Zhang zyz2004520@ 123456yeah.net

                This article was submitted to Neuro-Oncology and Neurosurgical Oncology, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2020.00953
                7390929
                9a7ee568-3d22-4b68-8c24-3569aebe3c2d
                Copyright © 2020 Yuan, Ying, Zuo, Jin, Gui, Gao, Li, Wang, Zhang and Li.

                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.

                History
                : 27 February 2020
                : 15 May 2020
                Page count
                Figures: 3, Tables: 4, Equations: 0, References: 48, Pages: 10, Words: 6658
                Funding
                Funded by: Ministry of Science and Technology of the People's Republic of China 10.13039/501100002855
                Funded by: Beijing Municipal Science and Technology Commission 10.13039/501100009592
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                high-grade gliomas,brain structure,mri,molecular markers,overall survival
                Oncology & Radiotherapy
                high-grade gliomas, brain structure, mri, molecular markers, overall survival

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