ABCB1 and ABCC10 polymorphisms predict sensitivity to first- and third-generation EGFR-TKIs in EGFR-mutant NSCLC
Sanae Toda-Shiraga1, Takehiro Uemura2, Akihito Kakihara1
1Department of Respiratory Medicine, Allergy and Clinical Immunology, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-Cho, Mizuho-Ku, Nagoya, Aichi, 467-8601, Japan.
Abstract:
This study investigated the association between ATP-binding cassette (ABC) transporter gene polymorphisms and Epidermal Growth Factor Receptor (EGFR)- Tyrosine kinase inhibitor (TKI) sensitivity in non-small cell lung cancer (NSCLC). Our goal was to determine if these genetic variations could serve as valuable biomarkers for predicting treatment efficacy. We examined the associations between ABC transporter mRNA expression and EGFR-TKI sensitivity in 16 NSCLC cell lines. Expression of ABCB1, ABCG2, ABCC10, and ABCC11 was quantified by real-time PCR and correlated with IC50 values of gefitinib and osimertinib. Additionally, associations between transporter gene single nucleotide polymorphisms (SNPs) (ABCB1 C1236T, ABCB1 C3435T, ABCG2 C421A, ABCC10 T2843C, ABCC11 G538A) and EGFR-TKI sensitivity were evaluated. To assess clinical relevance, blood samples from 109 gefitinib/erlotinib- and 54 osimertinib-treated patients were analyzed for these SNPs. While no significant correlation was found between mRNA expression and IC50 values in cell lines, we did find that specific SNPs significantly correlated with drug cytotoxicity in vitro. Clinically, the ABCB1 C1236T T/T genotype was associated with prolonged PFS in patients on first-generation EGFR-TKIs, while the ABCC10 T2843C T/T genotype was linked to longer PFS with third-generation EGFR-TKIs. These findings suggest that ABC transporter SNPs could be valuable biomarkers for personalized medicine in NSCLC. These findings suggest that ABC transporter SNPs may serve as valuable biomarkers for predicting EGFR-TKI efficacy in NSCLC patients with EGFR mutations, which will contribute to personalized medicine.
Insights
Genetic variations in ATP-binding cassette (ABC) transporter genes may predict non-small cell lung cancer (NSCLC) treatment response. Specific single nucleotide polymorphisms (SNPs) correlate with Epidermal Growth Factor Receptor (EGFR)-Tyrosine kinase inhibitor (TKI) sensitivity, aiding personalized medicine.
Area of Science:
- Pharmacogenomics
- Molecular Oncology
- Cancer Biomarkers
Background:
- Non-small cell lung cancer (NSCLC) treatment efficacy varies.
- ATP-binding cassette (ABC) transporters influence drug response.
- Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase Inhibitors (TKIs) are key NSCLC therapies.
Purpose of the Study:
- To investigate the association between ABC transporter gene polymorphisms and EGFR-TKI sensitivity in NSCLC.
- To identify potential genetic biomarkers for predicting treatment efficacy.
Main Methods:
- Real-time PCR quantified ABC transporter mRNA expression in 16 NSCLC cell lines.
- IC50 values of gefitinib and osimertinib were correlated with mRNA expression.
- Single nucleotide polymorphisms (SNPs) in ABC transporter genes were analyzed in cell lines and patient blood samples.
- Clinical data from 109 first-generation and 54 third-generation EGFR-TKI treated patients were analyzed.
Main Results:
- No significant correlation between ABC transporter mRNA expression and EGFR-TKI sensitivity was observed in cell lines.
- Specific ABC transporter SNPs showed significant correlation with drug cytotoxicity in vitro.
- The ABCB1 C1236T T/T genotype was linked to longer progression-free survival (PFS) with first-generation EGFR-TKIs.
- The ABCC10 T2843C T/T genotype was associated with longer PFS in patients receiving third-generation EGFR-TKIs.
Conclusions:
- ABC transporter gene polymorphisms, specifically SNPs, show potential as predictive biomarkers for EGFR-TKI efficacy in NSCLC.
- These findings support the use of pharmacogenomics for personalized NSCLC treatment strategies.
- Further validation is needed to integrate these SNPs into clinical practice for improved patient outcomes.
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