Evidence map›Paper›PMID 34608482›Full record

ArticleNeuro-oncology2022

The EGFRvIII transcriptome in glioblastoma: A meta-omics analysis.

Youri Hoogstrate, Santoesha A Ghisai, Maurice de Wit, Iris de Heer, Kaspar Draaisma, Job van Riet, Harmen J G van de Werken, Vincent Bours, Jan Buter, Isabelle Vanden Bempt and 23 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors at 19 institutions in 8 countries.

Youri HoogstrateDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0003-2166-0676
Santoesha A GhisaiDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.
Maurice de WitDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.
Iris de HeerDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.
Kaspar DraaismaDepartment of Neurosurgery, UMC Utrecht, Utrecht, The Netherlands.
Job van RietCancer Computational Biology Center, Erasmus MC, Rotterdam, The Netherlands.
Harmen J G van de WerkenCancer Computational Biology Center, Erasmus MC, Rotterdam, The Netherlands.
Vincent BoursDepartment of Human Genetics, Université de Liège, Liège, Belgium.
Jan ButerDepartment of Oncology, VU University Medical Center, Amsterdam, The Netherlands.
Isabelle Vanden BemptDepartment of Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Marica EoliUnit of Molecular Neuro-Oncology, Besta-IRCCS, Milan, Italy.
Enrico FranceschiIRCCS Istituto Scienze Neurologiche di Bologna, Nervous System Medical Oncology Department, Bologna, Italy.
Jean-Sebastien FrenelInstitut de Cancérologie de l'Ouest, Nantes, France.
Thierry GorliaEORTC Headquarters, Brussels, Belgium.
Monique C HanseDepartment of Neurology, Catharina Hospital, Eindhoven, The Netherlands.
Ann HoebenDepartment of Medical Oncology, Maastricht UMC+, Maastricht, The Netherlands.
Melissa KerkhofDepartment of Neurology, Haaglanden Medical Center, The Hague, The Netherlands.
Johan M KrosDepartment of Medical Oncology, Erasmus MC, Rotterdam, The Netherlands.
Sieger LeenstraDepartment of Neurosurgery, Erasmus MC, Rotterdam, The Netherlands.
Giuseppe LombardiVeneto Institute of Oncology IOV-IRCCS, Padua, Italy.
Slávka LukacovaDepartment of Oncology, Aarhus University Hospital, Aarhus, Denmark.
Pierre A RobeDepartment of Neurosurgery, UMC Utrecht, Utrecht, The Netherlands.
Juan M SepulvedaHospital Universitario 12 de Octubre, Madrid, Spain.
Walter TaalDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-5530-7259
Martin TaphoornDepartment of Neurology, Haaglanden Medical Center, The Hague, The Netherlands.
René M VernhoutDepartment of Radiotherapy, Erasmus MC, Rotterdam, The Netherlands.
Annemiek M E WalenkampDepartment of Medical Oncology, UMC Groningen, Groningen, The Netherlands.
Colin WattsInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.
Michael WellerDepartment of Neurology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-1748-174X
Filip Y F de VosDepartment of Medical Oncology, UMC Utrecht, Utrecht, The Netherlands.
Guido W JensterDepartment of Urology, Erasmus MC, Rotterdam, The Netherlands.
Martin van den BentDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.
Pim J FrenchDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.
Erasmus MC · NLMedisch Centrum Haaglanden · NLUtrecht University · NLAarhus University Hospital · DKAmsterdam UMC Location Vrije Universiteit Amsterdam · NLErasmus MC Cancer Institute · NLEuropean Organisation for Research and Treatment of Cancer · BEHospital Universitario 12 De Octubre · ESInstitut de Cancérologie de l'Ouest · FRIstituto delle Scienze Neurologiche di Bologna · ITIstituto Oncologico Veneto · ITKU Leuven · BEMaastricht University Medical Centre · NLRadboud University Nijmegen · NLUniversity Hospital of Zurich · CHUniversity Medical Center Groningen · NLUniversity Medical Center Utrecht · NLUniversity of Birmingham · GBUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEGFR 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.

methodsTo 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.

resultsThe 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.

conclusionsThese data provide deeper insights into the complex EGFRvIII biology and provide new insights for targeting EGFRvIII mutated tumors.

Indexed as

Brain NeoplasmsGlioblastomaErbB ReceptorsHumansTranscriptomeepidermal growth factor receptor VIIIErbB ReceptorsbreakpointsEGFREGFRvIIIglioblastomaRNA-seq

Identifiers

PMID34608482
PMCPMC8917407
OpenAlexW3203078593

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.