Literature DB >> 15325097

Molecular genetic analysis of deep-seated glioblastomas.

Yutaka Hayashi1, Junkoh Yamashita, Takuya Watanabe.   

Abstract

Glioblastoma can be divided into genetic subsets. The most prominent criterion for dividing glioblastomas into subsets is the dichotomy between TP53 mutation and EGFR amplification, two genetic alterations that almost never coincide in the same tumor. Approximately one third of glioblastomas have TP53 mutations, one third have EGFR amplification, and one third have neither. When viewed in terms of tumor progression, secondary glioblastomas have a much higher incidence of TP53 mutations than do primary glioblastomas. When viewed in terms of the age of tumor onset, glioblastomas in young adults are likely to have TP53 mutations. However, no correlations have yet been found between the tumor locations and the genetic subsets. In this study, we evaluated the associations between the glioblastoma sites and the genetic subsets defined by the presence of the TP53 mutation or EGFR amplification in nine deep-seated glioblastomas of the thalamus and basal ganglia. All nine tumors were clinically defined as primary glioblastomas. Our investigation revealed that all tumors had TP53 mutations and none had EGFR amplifications. These findings suggest that glioblastomas deep-seated in the thalamus and basal ganglia can be grouped into a subset of glioblastomas with TP53 mutations, akin to the subsets of secondary and younger adult glioblastomas. The locations where the glioblastomas originate may be associated with the genetic features.

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Year:  2004        PMID: 15325097     DOI: 10.1016/j.cancergencyto.2003.12.010

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  6 in total

1.  Thalamic high-grade gliomas in children: a distinct clinical subset?

Authors:  Christof M Kramm; Sandra Butenhoff; Ulrike Rausche; Monika Warmuth-Metz; Rolf-Dieter Kortmann; Torsten Pietsch; Astrid Gnekow; Norbert Jorch; Gisela Janssen; Frank Berthold; Johannes E Wolff
Journal:  Neuro Oncol       Date:  2011-06       Impact factor: 12.300

2.  Phyloproteomics: what phylogenetic analysis reveals about serum proteomics.

Authors:  Mones Abu-Asab; Mohamed Chaouchi; Hakima Amri
Journal:  J Proteome Res       Date:  2006-09       Impact factor: 4.466

3.  Loss of p53 induces changes in the behavior of subventricular zone cells: implication for the genesis of glial tumors.

Authors:  Sara Gil-Perotin; Mireya Marin-Husstege; Jiadong Li; Mario Soriano-Navarro; Frederique Zindy; Martine F Roussel; Jose-Manuel Garcia-Verdugo; Patricia Casaccia-Bonnefil
Journal:  J Neurosci       Date:  2006-01-25       Impact factor: 6.167

Review 4.  Molecular epidemiology of primary brain tumors.

Authors:  Jun Gu; Yanhong Liu; Athanassios P Kyritsis; Melissa L Bondy
Journal:  Neurotherapeutics       Date:  2009-07       Impact factor: 7.620

5.  Phylogenetic modeling of heterogeneous gene-expression microarray data from cancerous specimens.

Authors:  Mones S Abu-Asab; Mohamed Chaouchi; Hakima Amri
Journal:  OMICS       Date:  2008-09

6.  Thalamic Glioblastoma: Clinical Presentation, Management Strategies, and Outcomes.

Authors:  Yoshua Esquenazi; Nelson Moussazadeh; Thomas W Link; Koos E Hovinga; Anne S Reiner; Natalie M DiStefano; Cameron Brennan; Philip Gutin; Viviane Tabar
Journal:  Neurosurgery       Date:  2018-07-01       Impact factor: 4.654

  6 in total

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