Evidence map›Paper›PMID 20461251›Full record

ArticleMolecular bioSystems2010

Phosphotyrosine signaling analysis of site-specific mutations on EGFRvIII identifies determinants governing glioblastoma cell growth.

Paul H Huang, Emily R Miraldi, Alexander M Xu, Vibin A Kundukulam, Amanda M Del Rosario, Ryan A Flynn, Webster K Cavenee, Frank B Furnari, Forest M White

Open access · greenAbstract read
In one paragraph

Article in Molecular bioSystems, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Current Research Trends in Glioblastoma: Focus on Receptor Tyrosine Kinases.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. EGFRJournal of oncology · 2019
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. System level dynamics of post-translational modifications.Current opinion in biotechnology · 2014
    Review
  18. Article
  19. Article
  20. Molecular network analysis of phosphotyrosine and lipid metabolism in hepatic PTP1b deletion mice.Integrative biology : quantitative biosciences from nano to macro · 2013
    Article
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

9 authors at 3 institutions in 2 countries.

Paul H HuangProtein Networks Team, Section for Cell and Molecular Biology, Institute of Cancer Research, London, UK.
Emily R Miraldi
Alexander M Xu
Vibin A Kundukulam
Amanda M Del Rosario
Ryan A Flynn
Webster K Cavenee
Frank B Furnari
Forest M White
Massachusetts Institute of Technology · USUniversity of California San Diego · USInstitute of Cancer Research · GB

Funding

Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
Transgenic Mouse and Biobank CoreP01CA095616 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DEPINHO, RONALD ANTHONY · 2003 to 2012
$20.3M
Engineered Antibody EGFR Antagonist Cancer TherapeuticsR01CA096504 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 2002 to 2017
$9.7M
Quantitative Analysis of Epidermal Growth Factor Receptor Signaling NetworksR01CA118705 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WHITE, FOREST M · 2008 to 2012
$1.8M
NCI NIH HHS P01 CA095616NCI NIH HHS P01-CA95616NCI NIH HHS R01 CA096504NCI NIH HHS R01-CA096504NCI NIH HHS R01 CA118705NCI NIH HHS R01-CA118705NCI NIH HHS U54 CA112967NCI NIH HHS U54-CA112967
6 · The paper itself

Abstract

To evaluate the role of individual EGFR phosphorylation sites in activating components of the cellular signaling network we have performed a mass spectrometry-based analysis of the phosphotyrosine network downstream of site-specific EGFRvIII mutants, enabling quantification of network-level effects of site-specific point mutations. Mutation at Y845, Y1068 or Y1148 resulted in diminished receptor phosphorylation, while mutation at Y1173 led to increased phosphorylation on multiple EGFRvIII residues. Altered phosphorylation at the receptor was recapitulated in downstream signaling network activation levels, with Y1173F mutation leading to increased phosphorylation throughout the network. Computational modeling of GBM cell growth as a function of network phosphorylation levels highlights the Erk pathway as crucial for regulating EGFRvIII-driven U87MG GBM cell behavior, with the unexpected finding that Erk1/2 is negatively correlated to GBM cell growth. Genetic manipulation of this pathway supports the model, demonstrating that EGFRvIII-expressing U87MG GBM cells are sensitive to Erk activation levels. Additionally, we developed a model describing glioblastoma cell growth based on a reduced set of phosphoproteins, which represent potential candidates for future development as therapeutic targets for EGFRvIII-positive glioblastoma patients.

Indexed as

Cell ProliferationMutationCell Line, TumorEnzyme ActivationErbB ReceptorsGene Regulatory NetworksGlioblastomaHumansMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3Models, BiologicalPhosphorylationPhosphotyrosineSignal TransductionTyrosineepidermal growth factor receptor VIIIErbB ReceptorsMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3PhosphotyrosineTyrosine

Identifiers

PMID20461251
PMCPMC3291333
OpenAlexW2022488412

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.