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Dataset Information

Detection and characterization of classical and "uncommon" exon 19 Epidermal Growth Factor Receptor mutations in lung cancer by pyrosequencing.


ABSTRACT:

Background

The management of advanced stage non-small cell lung cancer is increasingly based on diagnostic and predictive analyses performed mostly on limited amounts of tumor tissue. The evaluation of Epidermal Growth Factor Receptor (EGFR) mutations have emerged as the strongest predictor of response to EGFR-tyrosine kinase inhibitors mainly in patients with adenocarcinoma. Several EGFR mutation detection techniques are available, having both sensitivity and specificity issues, being the Sanger sequencing technique the reference standard, with the limitation of a relatively high amount of mutated cells needed for the analysis.

Methods

A novel nucleotide dispensation order for pyrosequencing was established allowing the identification and characterization of EGFR mutation n

SUBMITTER: Righi L 

PROVIDER: S-EPMC3608975 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature