Article (Scientific journals)
The EGFRvIII transcriptome in glioblastoma, a meta-omics analysis.
Hoogstrate, Youri; Ghisai, Santoesha A.; de Wit, Maurice et al.
2021In Neuro-Oncology
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Keywords :
Breakpoints; EGFR; EGFRvIII; RNA-seq; glioblastoma
Abstract :
[en] BACKGROUND: EGFR is among the genes most frequently altered in glioblastoma, with exons 2-7 deletions (EGFRvIII) being amongst its most common genomic mutations. There are conflicting reports about its prognostic role and it remains unclear whether and how it differs in signalling compared with wildtype EGFR. METHODS: To better understand the oncogenic role of EGFRvIII, we leveraged four large datasets into one large glioblastoma transcriptome dataset (n=741) alongside 81 whole-genome samples from two datasets. RESULTS: The EGFRvIII/EGFR expression ratios differ strongly between tumours and ranges from 1% to 95%. Interestingly, the slope of relative EGFRvIII expression is near-linear, which argues against a more positive selection pressure than EGFR wildtype. An absence of selection pressure is also suggested by the similar survival between EGFRvIII positive and negative glioblastoma patients. EGFRvIII levels are inversely correlated with pan-EGFR (all wildtype and mutant variants) expression, which indicates that EGFRvIII has a higher potency in downstream pathway activation. EGFRvIII-positive glioblastomas have a lower CDK4 or MDM2 amplification incidence than EGFRvIII-negative (p=0.007), which may point towards crosstalk between these pathways. EGFRvIII-expressing tumours have an upregulation of 'classical' subtype genes compared to those with EGFR-amplification only (p=3.873e-6). Genomic breakpoints of the EGFRvIII deletions have a preference towards the 3' end of the large intron-1. These preferred breakpoints preserve a cryptic exon resulting in a novel EGFRvIII variant and preserve an intronic enhancer. CONCLUSIONS: These data provide deeper insights into the complex EGFRvIII biology and provide new insights for targeting EGFRvIII mutated tumours.
Disciplines :
Genetics & genetic processes
Author, co-author :
Hoogstrate, Youri
Ghisai, Santoesha A.
de Wit, Maurice
de Heer, Iris
Draaisma, Kaspar
van Riet, Job
van de Werken, Harmen J. G.
Bours, Vincent ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Génétique humaine
Buter, Jan
Vanden Bempt, Isabelle
Eoli, Marica
Franceschi, Enrico
Frenel, Jean-Sebastien
Gorlia, Thierry
Hanse, Monique C.
Hoeben, Ann
Kerkhof, Melissa
Kros, Johan M.
Leenstra, Sieger
Lombardi, Giuseppe
Lukacova, Slávka
Robe, Pierre ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Génétique humaine
Sepulveda, Juan M.
Taal, Walter
Taphoorn, Martin
Vernhout, René M.
Walenkamp, Annemiek M. E.
Watts, Colin
Weller, Michael
de Vos, Filip Y. F.
Jenster, Guido W.
van den Bent, Martin
French, Pim J.
More authors (23 more) Less
Language :
English
Title :
The EGFRvIII transcriptome in glioblastoma, a meta-omics analysis.
Publication date :
2021
Journal title :
Neuro-Oncology
ISSN :
1522-8517
eISSN :
1523-5866
Publisher :
Oxford University Press
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Neuro-Oncology.
Available on ORBi :
since 13 December 2021

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