Reference Detail

Ref Type

Journal Article

PMID

(19147750)

Authors

Kancha RK, von Bubnoff N, Peschel C, Duyster J

Title

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

Journal	Vol	Issue	Date	Pages	Journal Short Title
Clinical cancer research : an official journal of the American Association for Cancer Research	15	2	2009 Jan 15	460-7	Clin Cancer Res

URL

Abstract Text

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.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.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.

Filtering

Case insensitive filtering will display rows if any text in any cell matches the filter term
Use simple literal full or partial string matches
Separate multiple filter terms with a space. Any order may be used (i. e. a b c and c b a are equivalent )
Filtering will only apply to rows that are already loaded on the page. Filtering has no impact on query parameters.
Use quotes to match on a longer phrase with spaces (i.e. "mtor c1483f")

Sorting

Generally, the default sort order for tables is set to be first column ascending; however, specific tables may set a different default sort order.
Click on any column header arrows to sort by that column
Hold down the Shift key and click multiple columns to sort by more than one column. Be sure to set ascending or descending order for a given column before moving on to the next column.

Molecular Profile	Treatment Approach

Gene Name	Source	Synonyms	Protein Domains	Gene Description	Gene Role

Therapy Name	Drugs	Efficacy Evidence	Clinical Trials

Drug Name	Trade Name	Synonyms	Drug Classes	Drug Description

Gene	Variant	Impact	Protein Effect	Variant Description	Associated with drug Resistance

Molecular Profile	Indication/Tumor Type	Response Type	Therapy Name	Approval Status	Evidence Type	Efficacy Evidence	References