Literature DB >> 26946354

MET immunolabelling is a useful predictive tool for MET gene amplification in glioblastoma.

F Burel-Vandenbos1,2, M Ngo-Mai1, B Dadone1, I Di Mauro3,4, S Gimet3,4, E Saada-Bouzid5, V Bourg6, F Almairac2,7, D Fontaine7, T Virolle2, F Pedeutour3,4.   

Abstract

AIMS: MET gene amplification is rare in glioblastoma (GBM) and represents a potential target for MET inhibitors. An immunohistochemical screening may be useful to identify MET amplification. The aim of our study was to establish how MET immunolabelling correlates with MET amplification.
METHODS: Three cohorts including 108 GBM (cohort 1, prospective), 104 GBM (cohort 2, retrospective) and 52 GBM (cohort 3, prospective) were investigated for MET expression by immunohistochemistry. MET amplification was assessed by comparative genomic hybridization on microarray (CGH-array) in all cohorts and by fluorescent in situ hybridization (FISH) in cohorts 2 and 3. Active form of MET was assessed using p-MET (Y1349) immunohistochemistry.
RESULTS: Diffuse MET amplification detectable by CGH-array was associated with diffuse, strong MET immunolabelling (four cases in cohort 1 and one case in cohort 2). Focal MET amplification detectable only by FISH was observed in small foci of strongly immunopositive cells in two GBM (cohort 2). In both cohorts, MET amplification was never detected in GBM devoid of strongly immunopositive cells. MET overexpression, observed in 23% of unamplified GBM, was associated with a predominant weak-to-moderate staining intensity and with necrosis (P < 0.005). p-MET was detected in all MET-amplified GBM and in perinecrotic areas of nonamplified GBM. A strong MET immunostaining intensity, at least focal and distant from necrosis, showed 100% sensitivity and 84% specificity for predicting MET amplification in cohort 3.
CONCLUSIONS: MET amplification is characterized by strongly immunopositive cells. Only GBM showing strong MET immunostaining is appropriate for the assessment of MET amplification.
© 2016 British Neuropathological Society.

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Keywords:  zzm321990METzzm321990; gene amplification; glioblastoma; immunohistochemistry

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Year:  2016        PMID: 26946354     DOI: 10.1111/nan.12320

Source DB:  PubMed          Journal:  Neuropathol Appl Neurobiol        ISSN: 0305-1846            Impact factor:   8.090


  3 in total

Review 1.  The multiple paths towards MET receptor addiction in cancer.

Authors:  Leslie Duplaquet; Zoulika Kherrouche; Simon Baldacci; Philippe Jamme; Alexis B Cortot; Marie-Christine Copin; David Tulasne
Journal:  Oncogene       Date:  2018-03-19       Impact factor: 9.867

2.  Genomic profiles of low-grade murine gliomas evolve during progression to glioblastoma.

Authors:  Mark Vitucci; David M Irvin; Robert S McNeill; Ralf S Schmid; Jeremy M Simon; Harshil D Dhruv; Marni B Siegel; Andrea M Werneke; Ryan E Bash; Seungchan Kim; Michael E Berens; C Ryan Miller
Journal:  Neuro Oncol       Date:  2017-09-01       Impact factor: 12.300

Review 3.  Research Progress on the Regulation Mechanism of Key Signal Pathways Affecting the Prognosis of Glioma.

Authors:  Hao Wu; Min Wei; Yuping Li; Qiang Ma; Hengzhu Zhang
Journal:  Front Mol Neurosci       Date:  2022-07-22       Impact factor: 6.261

  3 in total

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