Interaction of tyrosine kinase inhibitors with the human multidrug transporter proteins, MDR1 and MRP1

被引:174
作者
Hegedüs, T
Örfi, L
Seprödi, A
Váradi, A
Sarkadi, B
Kéri, G
机构
[1] Hungarian Acad Sci, Membrane Res Grp, Natl Inst Haematol & Immunol, H-1113 Budapest, Hungary
[2] Semmelweis Univ, Dept Pharmaceut Chem, Budapest, Hungary
[3] Semmelweis Univ, Hungarian Acad Sci, Dept Med Chem, Peptide Biochem Res Grp, Budapest, Hungary
[4] Hungarian Acad Sci, Inst Enzymol, Biol Res Ctr, Budapest, Hungary
来源
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE | 2002年 / 1587卷 / 2-3期
基金
匈牙利科学研究基金会;
关键词
chemotherapy; multidrug resistance; MDR1; MRP; tyrosine kinase inhibitor;
D O I
10.1016/S0925-4439(02)00095-9
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Specific tyrosine kinase inhibitors (TKIs) are rapidly developing clinical tools applied for the inhibition of malignant cell growth and metastasis formation. Most of these newly developed TKI molecules are hydrophobic, thus rapidly penetrate the cell membranes to reach intracellular targets. However, a large number of tumor cells overexpress multidrug transporter membrane proteins, which efficiently extrude hydrophobic drugs and thus may prevent the therapeutic action of TKIs. In the present work, we demonstrate that the most abundant and effective cancer multidrug transporters, MDR1 and MRP1,directly interact with several TKIs under drug development or already in clinical trials. This interaction with the transporters does not directly correlate with the hydrophobicity or molecular structure of TKIs, and shows a large variability in transporter selectivity and affinity. We suggest that performing enzyme- and cell-based multidrug transporter interaction tests for TKIs may greatly facilitate drug development, and allow the prediction of clinical TKI resistance based on this mechanism. Moreover, diagnostics for the expression of specific multidrug transporters in the malignant cells, combined with information on the interactions of the drug transporter proteins with TKIs, should allow a highly effective, individualized clinical treatment for cancer patients. (C) 2002 Elsevier Science B.V All rights reserved.
引用
收藏
页码:318 / 325
页数:8
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