Literature DB >> 29470683

Clinical significance of the 2016 WHO classification in Japanese patients with gliomas.

Toshihiko Iuchi1, Takahiro Sugiyama2, Miki Ohira3, Hajime Kageyama2, Sana Yokoi4, Tsukasa Sakaida5, Yuzo Hasegawa5, Taiki Setoguchi5, Makiko Itami2.   

Abstract

In this study, we retrospectively compared the prognostic value of the 2016 WHO classification with the former classification in 387 patients with glioma treated at our institution. According to the new classification, diagnoses included oligodendroglioma with isocitrate dehydrogenase (IDH) mutation and 1p/19q co-deletion (5.4%), anaplastic oligodendroglioma with IDH mutation and 1p/19q co-deletion (3.4%), diffuse astrocytoma IDH-mutated (3.9%), anaplastic astrocytoma IDH-mutated (2.8%), glioblastoma IDH-mutated (7.8%), glioblastoma IDH-wildtype (58.4%), diffuse midline glioma H3 K27M mutation (2.6%), oligodendroglioma NOS (1.3%), anaplastic oligodendroglioma NOS (0.8%), diffuse astrocytoma IDH-wildtype (2.8%), and anaplastic astrocytoma IDH-wildtype (10.9%). The prognoses of IDH-mutated astrocytomas clearly varied according to tumor grade. However, we identified no survival difference between IDH-wildtype anaplastic astrocytomas and glioblastomas; additionally, these tumors showed similar gene expression profiles. After exclusion of those without 1p/19q co-deletion, patients with oligodendroglial tumors showed excellent survival regardless of tumor grade. Our evaluation of chromosomal aberrations suggests that the MAPK/PI3K pathway plays a role in acquired malignancy of astrocytic tumors, whereas TP53 participates in tumorigenesis. We suspect the RB pathway also plays a role in tumorigenesis of IDH-mutated gliomas. The new WHO classification more clearly reflects the tumorigenesis of gliomas and improves the prognostic power of classification.

Entities:  

Keywords:  Glioma; Prognosis; WHO classification 2016

Mesh:

Substances:

Year:  2018        PMID: 29470683     DOI: 10.1007/s10014-018-0309-0

Source DB:  PubMed          Journal:  Brain Tumor Pathol        ISSN: 1433-7398            Impact factor:   3.298


  10 in total

1.  Grading of IDH-mutant astrocytoma using diffusion, susceptibility and perfusion-weighted imaging.

Authors:  Xiefeng Yang; Zhen Xing; Dejun She; Yu Lin; Hua Zhang; Yan Su; Dairong Cao
Journal:  BMC Med Imaging       Date:  2022-05-29       Impact factor: 2.795

2.  The Use of Pro-Angiogenic and/or Pro-Hypoxic miRNAs as Tools to Monitor Patients with Diffuse Gliomas.

Authors:  Guénaëlle Levallet; Fatéméh Dubois; Arthur Leclerc; Edwige Petit; Lien Bekaert; Maxime Faisant; Christian Creveuil; Evelyne Emery; Gérard Zalcman; Emmanuèle Lechapt-Zalcman
Journal:  Int J Mol Sci       Date:  2022-05-27       Impact factor: 6.208

3.  Molecular biomarkers and integrated pathological diagnosis in the reclassification of gliomas.

Authors:  María Fernanda Ruiz; María Verónica Gennaro; Laura C Bastone; Alicia R Godoy; Mónica Torruella; Germán R Perez
Journal:  Mol Clin Oncol       Date:  2021-05-31

Review 4.  Bridging Cancer Biology with the Clinic: Comprehending and Exploiting IDH Gene Mutations in Gliomas.

Authors:  Ourania Romanidou; Vassiliki Kotoula; George Fountzilas
Journal:  Cancer Genomics Proteomics       Date:  2018 Sep-Oct       Impact factor: 3.395

5.  CeRNA Network Analysis Representing Characteristics of Different Tumor Environments Based on 1p/19q Codeletion in Oligodendrogliomas.

Authors:  Ju Won Ahn; YoungJoon Park; Su Jung Kang; So Jung Hwang; Kyung Gi Cho; JaeJoon Lim; KyuBum Kwack
Journal:  Cancers (Basel)       Date:  2020-09-07       Impact factor: 6.639

6.  PIK3CA Mutations in Diffuse Gliomas: An Update on Molecular Stratification, Prognosis, Recurrence, and Aggressiveness.

Authors:  Cheila Brito; Ana Tomás; Ana Azevedo; Susana Esteves; Manuela Mafra; Lúcia Roque; Marta Pojo
Journal:  Clin Med Insights Oncol       Date:  2022-01-06

7.  Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification.

Authors:  Favour Ekong; Yongbin Yu; Rutherford Agbeshi Patamia; Xiao Feng; Qian Tang; Pinaki Mazumder; Jingye Cai
Journal:  Diagnostics (Basel)       Date:  2022-07-07

8.  Clinical insights gained by refining the 2016 WHO classification of diffuse gliomas with: EGFR amplification, TERT mutations, PTEN deletion and MGMT methylation.

Authors:  Cheila Brito; Ana Azevedo; Susana Esteves; Ana Rita Marques; Carmo Martins; Ilda Costa; Manuela Mafra; José M Bravo Marques; Lúcia Roque; Marta Pojo
Journal:  BMC Cancer       Date:  2019-10-17       Impact factor: 4.430

9.  Reclassification of Mongolian Diffuse Gliomas According to the Revised 2016 World Health Organization Central Nervous System Tumor Classification.

Authors:  Enkhee Ochirjav; Bayarmaa Enkhbat; Tuul Baldandorj; Gheeyoung Choe
Journal:  J Pathol Transl Med       Date:  2019-08-02

Review 10.  Take Advantage of Glutamine Anaplerosis, the Kernel of the Metabolic Rewiring in Malignant Gliomas.

Authors:  Filipa Martins; Luís G Gonçalves; Marta Pojo; Jacinta Serpa
Journal:  Biomolecules       Date:  2020-09-26
  10 in total

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