Literature DB >> 29393190

Pathology and Genetics of Gliomas.

Takashi Komori, Yoshihiro Muragaki, Mikhail F Chernov.   

Abstract

Current World Health Organization (WHO) classification of the neuroepithelial tumors is cell lineage-oriented and based on a presumed developmental tree of the central nervous system (CNS). It defines three main groups of gliomas, namely astrocytomas, oligodendrogliomas, and ependymomas, and additionally presumes their 4-tiered histopathological grading (WHO grades I to IV). Nevertheless, the impact of tumor pathology on clinically related parameters may be frequently much better predicted by genetics, than by histological appearance of the lesion. Recent studies have revealed several major molecular alterations typical for different types of neoplasms, such as IDH1/IDH2 mutations in diffusely infiltrating gliomas, mutations of TP53 and ATRX in astrocytomas, 1p/19q co-deletion in oligodendrogliomas, mutations of TERT promoter in oligodendrogliomas and IDH wild-type glioblastomas, and mutations or fusions of BRAF in circumscribed astrocytomas, particularly in children. Identification of those and several other genetic abnormalities in the tumor is clinically important and may help clinicians to determine proper treatment strategy and to predict prognosis. Therefore, the updated WHO classification of CNS tumors (2016) considers not only phenotype, but also some genetic characteristics of gliomas.
© 2018 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2018        PMID: 29393190     DOI: 10.1159/000466835

Source DB:  PubMed          Journal:  Prog Neurol Surg        ISSN: 0079-6492


  7 in total

1.  A Risk Model Developed Based on Homologous Recombination Deficiency Predicts Overall Survival in Patients With Lower Grade Glioma.

Authors:  Hao Peng; Yibiao Wang; Pengcheng Wang; Chuixue Huang; Zhaohui Liu; Changwu Wu
Journal:  Front Genet       Date:  2022-07-01       Impact factor: 4.772

2.  Correlation of dual energy computed tomography electron density measurements with cerebral glioma grade.

Authors:  Ritwik Chakrabarti; Vivek Gupta; Sameer Vyas; Kirti Gupta; Vikram Singh
Journal:  Neuroradiol J       Date:  2021-10-03

3.  Angiotensin-converting enzyme insertion/deletion gene polymorphisms and the risk of glioma in an Algerian population.

Authors:  Ikram Hana Benenemissi; Karima Sifi; Lakhder Khalil Sahli; Ouarda Semmam; Noureddine Abadi; Dalila Satta
Journal:  Pan Afr Med J       Date:  2019-04-23

4.  A Radiomics Model for Predicting Early Recurrence in Grade II Gliomas Based on Preoperative Multiparametric Magnetic Resonance Imaging.

Authors:  Zhen-Hua Wang; Xin-Lan Xiao; Zhao-Tao Zhang; Keng He; Feng Hu
Journal:  Front Oncol       Date:  2021-09-02       Impact factor: 6.244

5.  A Ferroptosis-Related Prognostic Risk Score Model to Predict Clinical Significance and Immunogenic Characteristics in Glioblastoma Multiforme.

Authors:  Dongdong Xiao; Yujie Zhou; Xuan Wang; Hongyang Zhao; Chuansheng Nie; Xiaobing Jiang
Journal:  Oxid Med Cell Longev       Date:  2021-11-09       Impact factor: 6.543

6.  Decoding the Heterogeneity of Malignant Gliomas by PET and MRI for Spatial Habitat Analysis of Hypoxia, Perfusion, and Diffusion Imaging: A Preliminary Study.

Authors:  Michele Bailo; Nicolò Pecco; Marcella Callea; Paola Scifo; Filippo Gagliardi; Luca Presotto; Valentino Bettinardi; Federico Fallanca; Paola Mapelli; Luigi Gianolli; Claudio Doglioni; Nicoletta Anzalone; Maria Picchio; Pietro Mortini; Andrea Falini; Antonella Castellano
Journal:  Front Neurosci       Date:  2022-07-13       Impact factor: 5.152

7.  Prediction and identification of novel HLA-A*0201-restricted cytotoxic T lymphocyte epitopes from endocan.

Authors:  Gaohai Shao; Qingjun Liu; Ling Yang; Guibo Feng; Wang Zhao; Zhongyan Huang; Zhao Yang
Journal:  J Inflamm (Lond)       Date:  2020-02-19       Impact factor: 4.981

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.