Impact of single nucleotide polymorphisms on severe hepatotoxicity induced by EGFR tyrosine kinase inhibitors in patients with non-small cell lung cancer harboring EGFR mutations. Issue 2 (November 2015)

• Record Type: Journal Article
• Authors: Sugiyama, Eri; Umemura, Shigeki; Nomura, Shogo; Kirita, Keisuke; Matsumoto, Shingo; Yoh, Kiyotaka; Niho, Seiji; Ohmatsu, Hironobu; Tsuboi, Masahiro; Ohe, Yuichiro; Goto, Koichi
• Is Part Of: Lung cancer. Volume 90:Issue 2(2015:Nov.)
• Page Start: 307
• Page End: 313
• Publication Date: 2015-11
• Subjects: Lung cancer -- EGFR tyrosine kinase inhibitor -- Hepatotoxicity -- Single nucleotide polymorphism; Lungs -- Cancer -- Periodicals; Lung Neoplasms -- Abstracts; Lung Neoplasms -- Periodicals; Poumons -- Cancer -- Périodiques; Lungs -- Cancer; Periodicals; Electronic journals; Electronic journals; 616.99424
• DOI: 10.1016/j.lungcan.2015.08.004
• Languages: English
• ISSNs: 0169-5002

Abstract

Highlights: Many patients are forced to discontinue gefitinib treatment due to hepatotoxicity. Multi-SNP analyses were performed in 60 NSCLC patients. The hepatotoxicity rate was significantly higher among poor metabolizers for CYP. Evaluation of SNPs in CYP3A5 and CYP2D6 can predict severe hepatotoxicity. Erlotinib can be used as an alternative treatment. Abstract: Background: Many patients are forced to discontinue treatment with EGFR tyrosine kinase inhibitors (TKIs), particularly gefitinib, due to severe hepatotoxicity. Here, we investigated the association between the rate of severe hepatotoxicity and single nucleotide polymorphisms (SNPs) in metabolic enzymes. Materials and methods: Multi-SNP analyses were performed in 60 patients with EGFR-mutated non-small cell lung cancer using blood samples obtained prior to starting treatment with gefitinib. The poor metabolizer (PM) phenotype was defined as homozygosity or double heterozygosity for variant alleles that confer reduced enzyme activities. Associated enzymes were screened using univariate logistic regression analyses adjusted for multiplicity and were further evaluated using multivariate logistic regression analyses to determine the influence of these enzymes on severe hepatotoxicity. Results: Severe hepatotoxicity was detected in 19 (32%) of the 60 patients. Patient phenotypes consisted of CYP3A5, PM/non-PM (31/29) and CYP2D6, PM/non-PM (5/55). In multivariate logistic regression analyses, the rate of severe hepatotoxicity was significantly higher among patients with PM phenotypes than those without (CYP3A5 PM vs. non-PM: 48.4% vs. 13.8%, P = 0.0069; CYP2D6 PM vs. non-PM: 80.0% vs. 27.3%, P = 0.0364). Of the 9 patients switched from gefitinib to erlotinib due to severe hepatotoxicity, 8 had a PM phenotype for CYP2D6 or CYP3A5. All cases were successfully managed without exacerbation of severe hepatotoxicity. Conclusions: Evaluation of SNPs in CYP3A5 and CYP2D6 can effectively predict severe hepatotoxicity induced by gefitinib. Erlotinib can be used as an alternative treatment for patients who develop gefitinib-induced severe hepatotoxicity.