Literature DB >> 16957578

Correlation among pathology, genotype, and patient outcomes in glioblastoma.

Taku Homma1, Takao Fukushima, Salvatore Vaccarella, Yasuhiro Yonekawa, Pier Luigi Di Patre, Silvia Franceschi, Hiroko Ohgaki.   

Abstract

Glioblastomas are histologically and genetically heterogeneous. We have investigated to what extent histologic features reflect the genetic profile and whether they are predictive of clinical outcome. Key histologic characteristics, including major cell types (small cell, nonsmall cell), other components such as oligodendroglial components, gemistocytes, multinucleated giant cells, as well as necrosis and microvascular proliferation, of 420 cases of glioblastoma within a population-based study (1) were reassessed and correlated with patients' clinical outcome and key genetic alterations. EGFR amplification and p16 homozygous deletion were significantly more frequent in small cell glioblastomas than in nonsmall cell glioblastomas (EGFR, 46% vs 26%, p = 0.0002; p16 39% vs 25%, p = 0.0167). Multivariate analyses with adjustment for age and gender showed that small cell glioblastomas had frequent EGFR amplification and p16 deletion but infrequent PTEN mutations. An oligodendroglial component was detected in 20% of glioblastomas; these patients were significantly younger (54.4 +/- 13.6 vs 59.2 +/- 13.8 years; p = 0.0049) and survived longer (10.3 +/- 8.3 vs 8.2 +/- 8.4 months; p = 0.0647). However, multivariate analyses with adjustment for age and gender did not show the presence of an oligodendroglial component to be predictive of longer survival. After adjustment for age and gender, LOH 1p was associated with longer survival (hazard ratio, 0.7; 95% confidence interval [CI], 0.5-1.0), whereas LOH 10q was associated with shorter survival (hazard ratio, 1.4; 95% CI, 1.0-1.8) of patients with glioblastoma. Glioblastomas containing >or=5% multinucleated giant cells showed more frequent TP53 mutation and infrequent EGFR amplification than those containing <5% multinucleated giant cells (TP53, 45% vs 24%, p = 0.0001; EGFR, 24% vs 42%, p = 0.0005). Vascular proliferation was observed in all glioblastomas, whereas large ischemic and/or pseudopalisading necrosis was observed in 366 of 420 (87%) cases. Glioblastomas with necrosis were associated with older age (59.2 +/- 13.3 vs 51.6 +/- 15.3 years; p = 0.0001) and shorter survival (7.9 +/- 6.8 vs 12.9 +/- 14.2 months; p = 0.0017). Multivariate analyses with adjustment for age and gender confirmed this observation (hazard ratio, 1.5; 95% CI, 1.1-2.0). Multivariate analysis with adjustment for age and gender showed that necrosis was significantly associated with wild-type TP53 and absence of an oligodendroglial component. These results suggest that some histologic features in glioblastomas are associated with specific genetic alterations and with clinical outcome.

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Year:  2006        PMID: 16957578     DOI: 10.1097/01.jnen.0000235118.75182.94

Source DB:  PubMed          Journal:  J Neuropathol Exp Neurol        ISSN: 0022-3069            Impact factor:   3.685


  68 in total

1.  MR Imaging-Based Analysis of Glioblastoma Multiforme: Estimation of IDH1 Mutation Status.

Authors:  K Yamashita; A Hiwatashi; O Togao; K Kikuchi; R Hatae; K Yoshimoto; M Mizoguchi; S O Suzuki; T Yoshiura; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-24       Impact factor: 3.825

2.  Mass spectrometry imaging as a tool for surgical decision-making.

Authors:  David Calligaris; Isaiah Norton; Daniel R Feldman; Jennifer L Ide; Ian F Dunn; Livia S Eberlin; R Graham Cooks; Ferenc A Jolesz; Alexandra J Golby; Sandro Santagata; Nathalie Y Agar
Journal:  J Mass Spectrom       Date:  2013-11       Impact factor: 1.982

3.  Intratumoral patterns of clonal evolution in gliomas.

Authors:  Ana Luísa Vital; Maria Dolores Tabernero; Inês Crespo; Olinda Rebelo; Hermínio Tão; Fernando Gomes; Maria Celeste Lopes; Alberto Orfao
Journal:  Neurogenetics       Date:  2009-09-17       Impact factor: 2.660

4.  Familiality in brain tumors.

Authors:  Deborah T Blumenthal; Lisa A Cannon-Albright
Journal:  Neurology       Date:  2008-09-23       Impact factor: 9.910

5.  Differential molecular genetic analysis in glioblastoma multiforme of long- and short-term survivors: a clinical study in Chinese patients.

Authors:  Guo-Bin Zhang; Xiang-Li Cui; Da-Li Sui; Xiao-Hui Ren; Zhe Zhang; Zhong-Cheng Wang; Song Lin
Journal:  J Neurooncol       Date:  2013-03-15       Impact factor: 4.130

Review 6.  Molecular mechanisms of necrosis in glioblastoma: the role of glutamate excitotoxicity.

Authors:  Evan Noch; Kamel Khalili
Journal:  Cancer Biol Ther       Date:  2009-10       Impact factor: 4.742

7.  Something old and something new about molecular diagnostics in gliomas.

Authors:  Craig Horbinski
Journal:  Surg Pathol Clin       Date:  2012-12-01

8.  Success at last: a molecular factor that informs treatment.

Authors:  Andrew B Lassman
Journal:  Curr Oncol Rep       Date:  2013-02       Impact factor: 5.075

9.  Glioblastoma Stem Cells: A Neuropathologist's View.

Authors:  Roger E McLendon; Jeremy N Rich
Journal:  J Oncol       Date:  2010-11-01       Impact factor: 4.375

10.  Glioblastomas: correlation between oligodendroglial components, genetic abnormalities, and prognosis.

Authors:  Luciana Wernersbach Pinto; Maria Betania Mahler Araújo; Andre L Vettore; Liana Wernersbach; André Campana C Leite; Leila Maria C Chimelli; Fernando Augusto Soares
Journal:  Virchows Arch       Date:  2008-05       Impact factor: 4.064

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