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基于转运蛋白介导的药物相互作用策略的 5-氨基酮戊酸(ALA)用于恶性脑肿瘤的光动力诊断:ABCG2 抑制剂的分子设计。

Transporter-Mediated Drug Interaction Strategy for 5-Aminolevulinic Acid (ALA)-Based Photodynamic Diagnosis of Malignant Brain Tumor: Molecular Design of ABCG2 Inhibitors.

机构信息

Omics Science Center, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, 230-0045, Japan.

出版信息

Pharmaceutics. 2011 Sep 14;3(3):615-35. doi: 10.3390/pharmaceutics3030615.

Abstract

Photodynamic diagnosis (PDD) is a practical tool currently used in surgical operation of aggressive brain tumors, such as glioblastoma. PDD is achieved by a photon-induced physicochemical reaction which is induced by excitation of protoporphyrin IX (PpIX) exposed to light. Fluorescence-guided gross-total resection has recently been developed in PDD, where 5-aminolevulinic acid (ALA) or its ester is administered as the precursor of PpIX. ALA induces the accumulation of PpIX, a natural photo-sensitizer, in cancer cells. Recent studies provide evidence that adenosine triphosphate (ATP)-binding cassette (ABC) transporter ABCG2 plays a pivotal role in regulating the cellular accumulation of porphyrins in cancer cells and thereby affects the efficacy of PDD. Protein kinase inhibitors are suggested to potentially enhance the PDD efficacy by blocking ABCG2-mediated porphyrin efflux from cancer cells. It is of great interest to develop potent ABCG2-inhibitors that can be applied to PDD for brain tumor therapy. This review article addresses a pivotal role of human ABC transporter ABCG2 in PDD as well as a new approach of quantitative structure-activity relationship (QSAR) analysis to design potent ABCG2-inhibitors.

摘要

光动力诊断(PDD)是目前用于侵袭性脑肿瘤(如胶质母细胞瘤)手术的实用工具。PDD 通过光激发暴露的原卟啉 IX(PpIX)引发的光诱导物理化学反应来实现。荧光引导的大体全切除术最近在 PDD 中得到了发展,其中 5-氨基酮戊酸(ALA)或其酯作为 PpIX 的前体给药。ALA 诱导 PpIX(一种天然光敏剂)在癌细胞中的积累。最近的研究提供了证据,表明三磷酸腺苷(ATP)结合盒(ABC)转运蛋白 ABCG2 在调节癌细胞中卟啉的细胞积累方面起着关键作用,从而影响 PDD 的疗效。蛋白激酶抑制剂通过阻断 ABCG2 介导的从癌细胞中外排卟啉,可能增强 PDD 的疗效。开发可应用于脑肿瘤治疗的 PDD 的有效 ABCG2 抑制剂具有重要意义。本文综述了人 ABC 转运蛋白 ABCG2 在 PDD 中的关键作用,以及一种新的定量构效关系(QSAR)分析方法来设计有效的 ABCG2 抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3875/3857086/3f6a590fba1a/pharmaceutics-03-00615f1.jpg

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