BACKGROUND: Epidermal growth factor receptor gene (EGFR) variants may be useful markers for identifying responders to gefitinib and erlotinib, small-molecule tyrosine kinase inhibitors of EGFR; therefore, sensitive and cost-effective assays are needed to detect EGFR variants in routine clinical samples. We have developed a partially denaturing HPLC (pDHPLC) assay that is superior to direct sequencing with respect to detection limits, costs, and time requirements. METHODS: Primers, temperatures, and buffer conditions were optimized for PCR-pDHPLC analysis of EGFR exons 18-21. We evaluated the detection limits of pDHPLC and direct sequencing by analyzing mixtures of wild-type and variant EGFR DNA and screened 192 lung cancer samples to examine the diversity of pDHPLC-detectable variants. To assess amenability to routine analysis, we tested lung and pleural tissue specimens from 14 lung cancer patients treated with gefitinib. RESULTS: The detection limits for variant alleles were 1:100 for pDHPLC and 1:5 for direct sequencing. pDHPLC analysis detected 26 unique EGFR variants, including the common deletions in exon 19 and substitutions in codons 787 and 858. Direct sequencing could not identify 30% (18 of 60) of the variant amplicons identified by pDHPLC. We identified these 18 amplicons by fraction collection after pDHPLC analysis. Analysis of a limited series of lung biopsy samples detected EGFR variants more frequently in gefitinib responders than in nonresponders. pDHPLC analysis was 56% less expensive and 39% faster than direct sequencing. CONCLUSIONS: pDHPLC-based analysis detects EGFR variations in routine clinical samples with a better detection limit and lower cost and time requirement than direct sequencing.
BACKGROUND: Epidermal growth factor receptor gene (EGFR) variants may be useful markers for identifying responders to gefitinib and erlotinib, small-molecule tyrosine kinase inhibitors of EGFR; therefore, sensitive and cost-effective assays are needed to detect EGFR variants in routine clinical samples. We have developed a partially denaturing HPLC (pDHPLC) assay that is superior to direct sequencing with respect to detection limits, costs, and time requirements. METHODS: Primers, temperatures, and buffer conditions were optimized for PCR-pDHPLC analysis of EGFR exons 18-21. We evaluated the detection limits of pDHPLC and direct sequencing by analyzing mixtures of wild-type and variant EGFR DNA and screened 192 lung cancer samples to examine the diversity of pDHPLC-detectable variants. To assess amenability to routine analysis, we tested lung and pleural tissue specimens from 14 lung cancerpatients treated with gefitinib. RESULTS: The detection limits for variant alleles were 1:100 for pDHPLC and 1:5 for direct sequencing. pDHPLC analysis detected 26 unique EGFR variants, including the common deletions in exon 19 and substitutions in codons 787 and 858. Direct sequencing could not identify 30% (18 of 60) of the variant amplicons identified by pDHPLC. We identified these 18 amplicons by fraction collection after pDHPLC analysis. Analysis of a limited series of lung biopsy samples detected EGFR variants more frequently in gefitinib responders than in nonresponders. pDHPLC analysis was 56% less expensive and 39% faster than direct sequencing. CONCLUSIONS: pDHPLC-based analysis detects EGFR variations in routine clinical samples with a better detection limit and lower cost and time requirement than direct sequencing.
Authors: Mohd Feroz Mohd Omar; Kosei Ito; Min En Nga; Ross Soo; Bee Keow Peh; Tuty Muliana Ismail; Bhavin Thakkar; Richie Soong; Yoshiaki Ito; Manuel Salto-Tellez Journal: Pathol Oncol Res Date: 2012-06-24 Impact factor: 3.201
Authors: Fang Wei; Chien-Chung Lin; Aron Joon; Ziding Feng; Gabriel Troche; Maruja E Lira; David Chia; Mao Mao; Chung-Liang Ho; Wu-Chou Su; David T W Wong Journal: Am J Respir Crit Care Med Date: 2014-11-15 Impact factor: 21.405
Authors: Gabriel Lima Lopes; Edoardo Filippo de Queiroz Vattimo; Gilberto de Castro Junior Journal: J Bras Pneumol Date: 2015 Jul-Aug Impact factor: 2.624
Authors: Hye-Ryoun Kim; Sung Yong Lee; Dae-Sung Hyun; Min Ki Lee; Hyun-Kyung Lee; Chang-Min Choi; Sei-Hoon Yang; Young-Chul Kim; Yong Chul Lee; Sun Young Kim; Seung Hun Jang; Jae Cheol Lee; Kye Young Lee Journal: J Exp Clin Cancer Res Date: 2013-08-09