Literature DB >> 18180459

Signaling networks assembled by oncogenic EGFR and c-Met.

Ailan Guo1, Judit Villén, Jon Kornhauser, Kimberly A Lee, Matthew P Stokes, Klarisa Rikova, Anthony Possemato, Julie Nardone, Gregory Innocenti, Randall Wetzel, Yi Wang, Joan MacNeill, Jeffrey Mitchell, Steven P Gygi, John Rush, Roberto D Polakiewicz, Michael J Comb.   

Abstract

A major question regarding the sensitivity of solid tumors to targeted kinase inhibitors is why some tumors respond and others do not. The observation that many tumors express EGF receptor (EGFR), yet only a small subset with EGFR-activating mutations respond clinically to EGFR inhibitors (EGFRIs), suggests that responsive tumors uniquely depend on EGFR signaling for their survival. The nature of this dependence is not understood. Here, we investigate dependence on EGFR signaling by comparing non-small-cell lung cancer cell lines driven by EGFR-activating mutations and genomic amplifications using a global proteomic analysis of phospho-tyrosine signaling. We identify an extensive receptor tyrosine kinase signaling network established in cells expressing mutated and activated EGFR or expressing amplified c-Met. We show that in drug sensitive cells the targeted tyrosine kinase drives other RTKs and an extensive network of downstream signaling that collapse with drug treatment. Comparison of the signaling networks in EGFR and c-Met-dependent cells identify a "core network" of approximately 50 proteins that participate in pathways mediating drug response.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18180459      PMCID: PMC2206598          DOI: 10.1073/pnas.0707270105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

Review 1.  PDZ domains in synapse assembly and signalling.

Authors:  C C Garner; J Nash; R L Huganir
Journal:  Trends Cell Biol       Date:  2000-07       Impact factor: 20.808

2.  PhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation.

Authors:  Peter V Hornbeck; Indy Chabra; Jon M Kornhauser; Elzbieta Skrzypek; Bin Zhang
Journal:  Proteomics       Date:  2004-06       Impact factor: 3.984

3.  Coactivation of receptor tyrosine kinases affects the response of tumor cells to targeted therapies.

Authors:  Jayne M Stommel; Alec C Kimmelman; Haoqiang Ying; Roustem Nabioullin; Aditya H Ponugoti; Ruprecht Wiedemeyer; Alexander H Stegh; James E Bradner; Keith L Ligon; Cameron Brennan; Lynda Chin; Ronald A DePinho
Journal:  Science       Date:  2007-09-13       Impact factor: 47.728

4.  EGF receptor gene mutations are common in lung cancers from "never smokers" and are associated with sensitivity of tumors to gefitinib and erlotinib.

Authors:  William Pao; Vincent Miller; Maureen Zakowski; Jennifer Doherty; Katerina Politi; Inderpal Sarkaria; Bhuvanesh Singh; Robert Heelan; Valerie Rusch; Lucinda Fulton; Elaine Mardis; Doris Kupfer; Richard Wilson; Mark Kris; Harold Varmus
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-25       Impact factor: 11.205

5.  Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics.

Authors:  Blagoy Blagoev; Shao-En Ong; Irina Kratchmarova; Matthias Mann
Journal:  Nat Biotechnol       Date:  2004-08-15       Impact factor: 54.908

6.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

Authors:  J Guillermo Paez; Pasi A Jänne; Jeffrey C Lee; Sean Tracy; Heidi Greulich; Stacey Gabriel; Paula Herman; Frederic J Kaye; Neal Lindeman; Titus J Boggon; Katsuhiko Naoki; Hidefumi Sasaki; Yoshitaka Fujii; Michael J Eck; William R Sellers; Bruce E Johnson; Matthew Meyerson
Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

7.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

Authors:  Thomas J Lynch; Daphne W Bell; Raffaella Sordella; Sarada Gurubhagavatula; Ross A Okimoto; Brian W Brannigan; Patricia L Harris; Sara M Haserlat; Jeffrey G Supko; Frank G Haluska; David N Louis; David C Christiani; Jeff Settleman; Daniel A Haber
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

8.  Gefitinib-sensitizing EGFR mutations in lung cancer activate anti-apoptotic pathways.

Authors:  Raffaella Sordella; Daphne W Bell; Daniel A Haber; Jeffrey Settleman
Journal:  Science       Date:  2004-07-29       Impact factor: 47.728

9.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

10.  Potent and selective inhibitors of the Met [hepatocyte growth factor/scatter factor (HGF/SF) receptor] tyrosine kinase block HGF/SF-induced tumor cell growth and invasion.

Authors:  Xueyan Wang; Phuong Le; Congxin Liang; Julie Chan; David Kiewlich; Todd Miller; Dave Harris; Li Sun; Audie Rice; Stefan Vasile; Robert A Blake; Anthony R Howlett; Neela Patel; Gerald McMahon; Kenneth E Lipson
Journal:  Mol Cancer Ther       Date:  2003-11       Impact factor: 6.261

View more
  237 in total

1.  eEF1A phosphorylation in the nucleus of insulin-stimulated C2C12 myoblasts: Ser⁵³ is a novel substrate for protein kinase C βI.

Authors:  Manuela Piazzi; Alberto Bavelloni; Irene Faenza; William Blalock; Andrea Urbani; Simona D'Aguanno; Roberta Fiume; Giulia Ramazzotti; Nadir Mario Maraldi; Lucio Cocco
Journal:  Mol Cell Proteomics       Date:  2010-10-05       Impact factor: 5.911

2.  An overview of the c-MET signaling pathway.

Authors:  Shawna Leslie Organ; Ming-Sound Tsao
Journal:  Ther Adv Med Oncol       Date:  2011-11       Impact factor: 8.168

Review 3.  Targeting DNA polymerase ß for therapeutic intervention.

Authors:  Eva M Goellner; David Svilar; Karen H Almeida; Robert W Sobol
Journal:  Curr Mol Pharmacol       Date:  2012-01       Impact factor: 3.339

4.  PTMScan direct: identification and quantification of peptides from critical signaling proteins by immunoaffinity enrichment coupled with LC-MS/MS.

Authors:  Matthew P Stokes; Charles L Farnsworth; Albrecht Moritz; Jeffrey C Silva; Xiaoying Jia; Kimberly A Lee; Ailan Guo; Roberto D Polakiewicz; Michael J Comb
Journal:  Mol Cell Proteomics       Date:  2012-02-09       Impact factor: 5.911

5.  Akt-RSK-S6 kinase signaling networks activated by oncogenic receptor tyrosine kinases.

Authors:  Albrecht Moritz; Yu Li; Ailan Guo; Judit Villén; Yi Wang; Joan MacNeill; Jon Kornhauser; Kam Sprott; Jing Zhou; Anthony Possemato; Jian Min Ren; Peter Hornbeck; Lewis C Cantley; Steven P Gygi; John Rush; Michael J Comb
Journal:  Sci Signal       Date:  2010-08-24       Impact factor: 8.192

Review 6.  The grand challenge to decipher the cancer proteome.

Authors:  Samir Hanash; Ayumu Taguchi
Journal:  Nat Rev Cancer       Date:  2010-09       Impact factor: 60.716

Review 7.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

8.  Histone deacetylase inhibitor romidepsin enhances anti-tumor effect of erlotinib in non-small cell lung cancer (NSCLC) cell lines.

Authors:  Wei Zhang; Michael Peyton; Yang Xie; Junichi Soh; John D Minna; Adi F Gazdar; Eugene P Frenkel
Journal:  J Thorac Oncol       Date:  2009-02       Impact factor: 15.609

Review 9.  Mechanisms of tumor resistance to EGFR-targeted therapies.

Authors:  Elizabeth A Hopper-Borge; Rochelle E Nasto; Vladimir Ratushny; Louis M Weiner; Erica A Golemis; Igor Astsaturov
Journal:  Expert Opin Ther Targets       Date:  2009-03       Impact factor: 6.902

10.  Comparison of MS(2)-only, MSA, and MS(2)/MS(3) methodologies for phosphopeptide identification.

Authors:  Peter J Ulintz; Anastasia K Yocum; Bernd Bodenmiller; Ruedi Aebersold; Philip C Andrews; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2009-02       Impact factor: 4.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.