EGFR polymorphism as a predictor of clinical outcome in advanced lung cancer patients treated with EGFR-TKI

Minkyu Jung, Byoung Chul Cho, Chul Ho Lee, Hyung Soon Park, Young Ae Kang, Se Kyu Kim, Joon Chang, Dae Jun Kim, Sun Young Rha, Joo Hang Kim, Ji Hyun Lee

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Purpose: Mutations in the epidermal growth factor receptor (EGFR) have been confirmed as predictors of the efficacy of treatment with EGFR-tyrosine kinase inhibitors (TKIs). We investigated whether polymorphisms of the EGFR gene were associated with clinical outcomes in non-small cell lung cancer (NSCLC) patients treated with EGFR-TKI. Materials and Methods: A polymorphic dinucleotide repeat in intron 1 [CA simple sequence repeat in intron 1(CA-SSR1)] in intron 1 and single nucleotide polymorphisms (SNP-216) in the promoter region of the EGFR gene were evaluated in 71 NSCLC patients by restriction fragment length polymorphism and DNA sequencing. The relationship between genetic polymorphisms and clinical outcomes of treatment with EGFR-TKIs was evaluated. Results: SNP-216G/T polymorphisms were associated with the efficacy of EGFR-TKI. The response rate for the SNP-216G/T tended to be higher than that for G/G (62.5% vs. 27.4%, p=0.057). The SNP-216G/T genotype was also associated with longer progression-free survival compared with the GG genotype (16.7 months vs. 5.1 months, p=0.005). However, the length of CA-SSR1 was not associated with the efficacy of EGFR-TKI. Conclusion: SNP-216G/T polymorphism was a potential predictor of clinical outcomes in NSCLC patients treated with EGFR-TKI.

Original languageEnglish
Pages (from-to)1128-1135
Number of pages8
JournalYonsei medical journal
Volume53
Issue number6
DOIs
Publication statusPublished - 2012 Nov

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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