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The EGFRvIII transcriptome in glioblastoma: A meta-omics analysis.
Hoogstrate, Youri; Ghisai, Santoesha A; de Wit, Maurice; de Heer, Iris; Draaisma, Kaspar; van Riet, Job; van de Werken, Harmen J G; Bours, Vincent; 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 A; 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.
Afiliação
  • Hoogstrate Y; Department of Neurology, Erasmus MC, Rotterdam, The Netherlands.
  • Ghisai SA; Cancer Computational Biology Center, Erasmus MC, Rotterdam, The Netherlands.
  • de Wit M; Department of Urology, Erasmus MC, Rotterdam, The Netherlands.
  • de Heer I; Department of Neurology, Erasmus MC, Rotterdam, The Netherlands.
  • Draaisma K; Department of Neurology, Erasmus MC, Rotterdam, The Netherlands.
  • van Riet J; Department of Neurology, Erasmus MC, Rotterdam, The Netherlands.
  • van de Werken HJG; Department of Neurosurgery, UMC Utrecht, Utrecht, The Netherlands.
  • Bours V; Cancer Computational Biology Center, Erasmus MC, Rotterdam, The Netherlands.
  • Buter J; Cancer Computational Biology Center, Erasmus MC, Rotterdam, The Netherlands.
  • Vanden Bempt I; Department of Urology, Erasmus MC, Rotterdam, The Netherlands.
  • Eoli M; Department of Immunology, Erasmus MC, Rotterdam, The Netherlands.
  • Franceschi E; Department of Human Genetics, Université de Liège, Liège, Belgium.
  • Frenel JS; Department of Oncology, VU University Medical Center, Amsterdam, The Netherlands.
  • Gorlia T; Department of Human Genetics, University Hospitals Leuven, Leuven, Belgium.
  • Hanse MC; Unit of Molecular Neuro-Oncology, Besta-IRCCS, Milan, Italy.
  • Hoeben A; IRCCS Istituto Scienze Neurologiche di Bologna, Nervous System Medical Oncology Department, Bologna, Italy.
  • Kerkhof M; Institut de Cancérologie de l'Ouest, Nantes, France.
  • Kros JM; EORTC Headquarters, Brussels, Belgium.
  • Leenstra S; Department of Neurology, Catharina Hospital, Eindhoven, The Netherlands.
  • Lombardi G; Department of Medical Oncology, Maastricht UMC+, Maastricht, The Netherlands.
  • Lukacova S; Department of Neurology, Haaglanden Medical Center, The Hague, The Netherlands.
  • Robe PA; Department of Medical Oncology, Erasmus MC, Rotterdam, The Netherlands.
  • Sepulveda JM; Department of Pathology, Erasmus MC, Rotterdam, The Netherlands.
  • Taal W; Department of Neurosurgery, Erasmus MC, Rotterdam, The Netherlands.
  • Taphoorn M; Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.
  • Vernhout RM; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.
  • Walenkamp AME; Department of Neurosurgery, UMC Utrecht, Utrecht, The Netherlands.
  • Watts C; Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Weller M; Department of Neurology, Erasmus MC, Rotterdam, The Netherlands.
  • de Vos FYF; Department of Neurology, Haaglanden Medical Center, The Hague, The Netherlands.
  • Jenster GW; Department of Radiotherapy, Erasmus MC, Rotterdam, The Netherlands.
  • van den Bent M; Department of Medical Oncology, UMC Groningen, Groningen, The Netherlands.
  • French PJ; Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.
Neuro Oncol ; 24(3): 429-441, 2022 03 12.
Article em En | MEDLINE | ID: mdl-34608482
BACKGROUND: EGFR is among the genes most frequently altered in glioblastoma, with exons 2-7 deletions (EGFRvIII) being among its most common genomic mutations. There are conflicting reports about its prognostic role and it remains unclear whether and how it differs in signaling compared with wildtype EGFR. METHODS: To better understand the oncogenic role of EGFRvIII, we leveraged 4 large datasets into 1 large glioblastoma transcriptome dataset (n = 741) alongside 81 whole-genome samples from 2 datasets. RESULTS: The EGFRvIII/EGFR expression ratios differ strongly between tumors and range 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 = .007), which may point toward crosstalk between these pathways. EGFRvIII-expressing tumors 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 toward 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 tumors.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article