Literature DB >> 19147750

Functional analysis of epidermal growth factor receptor (EGFR) mutations and potential implications for EGFR targeted therapy.

Rama Krishna Kancha1, Nikolas von Bubnoff, Christian Peschel, Justus Duyster.   

Abstract

PURPOSE: Epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) might be predictive for clinical response to EGFR inhibitor treatment. However, retrospective analyses of EGFR mutations in clinical trials have shown inconclusive results and the effect of EGFR sequencing in NSCLC is still controversial. Because the vast majority of EGFR mutations described have not been functionally characterized, simple correlation of mutational status and treatment response may not provide reliable information about the predictive value of EGFR mutations. Thus, we aimed to characterize a comprehensive panel of clinically observed EGFR mutations. EXPERIMENTAL DESIGN AND
RESULTS: A panel of 30 EGFR mutations was cloned and characterized for kinase activity and the ability to confer growth factor independence. Interestingly, 4 of 30 EGFR mutations showed no kinase activity even after ligand stimulation and were not able to confer growth factor independence. Ba/F3 cells expressing activating EGFR mutants were then used to test the efficacy of EGFR inhibitors in a cell proliferation assay. IC(50) values were calculated for gefitinib, erlotinib, and AEE788. We show that the sensitivity of EGFR mutations toward different inhibitors varies significantly, thus establishing a comprehensive sensitivity profile for each inhibitor.
CONCLUSIONS: EGFR mutations identified in NSCLC patients display distinct biological features. The variability in kinase activity, transforming potential, and sensitivity to EGFR inhibitors has to be considered in clinical studies aiming to correlate mutational status and drug response. The identification of comprehensive drug resistance profiles opens the opportunity to test alternative EGFR inhibitors in vitro.

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Year:  2009        PMID: 19147750     DOI: 10.1158/1078-0432.CCR-08-1757

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  56 in total

1.  erbB3 is an active tyrosine kinase capable of homo- and heterointeractions.

Authors:  Mara P Steinkamp; Shalini T Low-Nam; Shujie Yang; Keith A Lidke; Diane S Lidke; Bridget S Wilson
Journal:  Mol Cell Biol       Date:  2013-12-30       Impact factor: 4.272

2.  Isolation and characterization of erlotinib-resistant human non-small cell lung cancer A549 cells.

Authors:  Ryuji Ikeda; Lee C Vermeulen; Elim Lau; Zhisheng Jiang; Shannon M Kavanaugh; Katsushi Yamada; Jill M Kolesar
Journal:  Oncol Lett       Date:  2010-10-19       Impact factor: 2.967

3.  Kinase inhibitor-responsive genotypes in EGFR mutated lung adenocarcinomas: moving past common point mutations or indels into uncommon kinase domain duplications and rearrangements.

Authors:  Daniel B Costa
Journal:  Transl Lung Cancer Res       Date:  2016-06

4.  Efficacy of EGFR tyrosine kinase inhibitors in non-small cell lung cancer patients harboring different types of EGFR mutations: A retrospective analysis.

Authors:  Hua-Li Liu; Guang Han; Min Peng; Yi-Ming Weng; Jing-Ping Yuan; Gui-Fang Yang; Jin-Ming Yu; Qi-Bin Song
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-12-21

Review 5.  Lung cancer mutations and use of targeted agents in Hispanics.

Authors:  W Douglas Cress; Alberto Chiappori; Pedro Santiago; Teresita Muñoz-Antonia
Journal:  Rev Recent Clin Trials       Date:  2014

Review 6.  Personalized medicine in lung cancer: what we need to know.

Authors:  Tony S K Mok
Journal:  Nat Rev Clin Oncol       Date:  2011-08-23       Impact factor: 66.675

Review 7.  Protein-intrinsic and signaling network-based sources of resistance to EGFR- and ErbB family-targeted therapies in head and neck cancer.

Authors:  Ranee Mehra; Ilya G Serebriiskii; Roland L Dunbrack; Matthew K Robinson; Barbara Burtness; Erica A Golemis
Journal:  Drug Resist Updat       Date:  2011-09-14       Impact factor: 18.500

8.  Activity of erlotinib when dosed below the maximum tolerated dose for EGFR-mutant lung cancer: Implications for targeted therapy development.

Authors:  Benjamin L Lampson; Mizuki Nishino; Suzanne E Dahlberg; Danie Paul; Abigail A Santos; Pasi A Jänne; Geoffrey R Oxnard
Journal:  Cancer       Date:  2016-08-15       Impact factor: 6.860

Review 9.  Building a personalized medicine infrastructure at a major cancer center.

Authors:  Funda Meric-Bernstam; Carol Farhangfar; John Mendelsohn; Gordon B Mills
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

Review 10.  PharmGKB summary: very important pharmacogene information for the epidermal growth factor receptor.

Authors:  Ugur Hodoglugil; Michelle W Carrillo; Joan M Hebert; Niki Karachaliou; Rafael C Rosell; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2013-11       Impact factor: 2.089

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