Investigational new drugs · 2025
ABCB1 and ABCC10 polymorphisms predict sensitivity to first- and third-generation EGFR-TKIs in EGFR-mutant NSCLC.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Toda-Shiraga Sanae, Uemura Takehiro, Kakihara Akihito, Hashiba Fumitaka, Tanaka Tatsuya, Ito Toshiyasu, Onuki Tomohiro, Ito Keima, Mori Yuta, Fukumitsu Kensuke, Fukuda Satoshi, Kanemitsu Yoshihiro, Tajiri Tomoko, Ohkubo Hirotsugu, Maeno Ken, Niimi Akio, Oguri Tetsuya
Аннотация
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.
Предметные рубрики MeSH
HumansCarcinoma, Non-Small-Cell LungErbB ReceptorsLung NeoplasmsProtein Kinase InhibitorsPolymorphism, Single NucleotideATP Binding Cassette Transporter, Subfamily BCell Line, TumorFemaleMaleMiddle AgedATP-Binding Cassette, Sub-Family C ProteinsAgedMutationGefitinibDrug Resistance, NeoplasmAcrylamidesAntineoplastic AgentsAniline CompoundsIndolesPyrimidines