Literature DB >> 11132923

Epidermal growth factor receptor gene amplification as a prognostic marker in glioblastoma multiforme: results of a meta-analysis.

M Huncharek1, B Kupelnick.   

Abstract

Amplification of the epidermal growth factor receptor (EGFR) gene occurs in approximately 40% of cases of glioblastoma multiforme (GBM) and is considered a possible marker of poor prognosis. This report presents the results of a meta-analysis of the available data addressing this issue. Using a prospective protocol, a meta-analysis was designed to assess the possible prognostic importance of EGFR gene amplification in GBM. One-year survival data derived from seven published studies were analyzed using a general variance based method employing confidence intervals described by Greenland. The outcome of interest was a summary relative risk (RRs) reflecting the risk of death at 1 year from diagnosis associated with EGFR amplification-positive versus -negative disease. Prior to calculation of a RRs, an analysis for homogeneity (Q) showed Q to equal 9.21. With 6 df this yielded a P value of 0.12, indicating that the data were homogenous and could be combined in a meta-analysis. Pooling all available studies gave a RRs of 1.13 with a 95% confidence interval of 0.71-1.80, a nonstatistically significant result. The data suggest that the available studies are insufficient for determining whether EGFR gene amplification is of prognostic value in GBM. Important potential confounding factors are the influence of underlying EFGR gene mutation on patient survival and lack of control for important known clinical prognostic indicators in many studies. Future work must incorporate these parameters in multivariate analyses to determine whether EGFR gene alterations are truly associated with poor clinical outcome.

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Year:  2000        PMID: 11132923     DOI: 10.3727/096504001108747576

Source DB:  PubMed          Journal:  Oncol Res        ISSN: 0965-0407            Impact factor:   5.574


  29 in total

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Review 2.  Management of newly diagnosed glioblastoma: guidelines development, value and application.

Authors:  Jeffrey J Olson; Camilo E Fadul; Daniel J Brat; Srinivasan Mukundan; Timothy C Ryken
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3.  Diagnosis of malignant glioma: role of neuropathology.

Authors:  Daniel J Brat; Richard A Prayson; Timothy C Ryken; Jeffrey J Olson
Journal:  J Neurooncol       Date:  2008-08-20       Impact factor: 4.130

Review 4.  RNA interference and nonviral targeted gene therapy of experimental brain cancer.

Authors:  Ruben J Boado
Journal:  NeuroRx       Date:  2005-01

Review 5.  Molecular markers of glioma: an update on recent progress and perspectives.

Authors:  Kirti Gupta; Pravin Salunke
Journal:  J Cancer Res Clin Oncol       Date:  2012-10-06       Impact factor: 4.553

Review 6.  Changes in laminin isoforms associated with brain tumor invasion and angiogenesis.

Authors:  Julia Y Ljubimova; Manabu Fujita; Natalya M Khazenzon; Alexander V Ljubimov; Keith L Black
Journal:  Front Biosci       Date:  2006-01-01

7.  Non-enhancing de novo glioblastoma: report of two cases.

Authors:  Aaron A Cohen-Gadol; Michael L DiLuna; Sergei I Bannykh; Joseph M Piepmeier; Dennis D Spencer
Journal:  Neurosurg Rev       Date:  2004-07-28       Impact factor: 3.042

Review 8.  Pathology and molecular genetics of astrocytic gliomas.

Authors:  Guido Reifenberger; Vincent Peter Collins
Journal:  J Mol Med (Berl)       Date:  2004-10       Impact factor: 4.599

9.  Comparative genomic hybridization analysis of astrocytomas: prognostic and diagnostic implications.

Authors:  Rodney N Wiltshire; James E Herndon; Annie Lloyd; Henry S Friedman; Darell D Bigner; Sandra H Bigner; Roger E McLendon
Journal:  J Mol Diagn       Date:  2004-08       Impact factor: 5.568

Review 10.  Molecular prognostic factors in glioblastoma: state of the art and future challenges.

Authors:  Ana Xavier-Magalhães; Meera Nandhabalan; Chris Jones; Bruno M Costa
Journal:  CNS Oncol       Date:  2013-11
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