Targeting c-Kit mutations: basic science to novel therapies

被引:67
作者
Sattler, M
Salgia, R
机构
[1] Univ Chicago, Dept Med, Hematol Oncol Sect, Chicago, IL 60637 USA
[2] Harvard Univ, Sch Med, Boston, MA 02115 USA
[3] Brigham & Womens Hosp, Dept Med, Medford, MA 02155 USA
[4] Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02115 USA
关键词
receptor tyrosine kinase; Kit; signal transduction; mutation; c-Kit inhibition;
D O I
10.1016/j.leukres.2003.10.004
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The Kit receptor tyrosine kinase is a transmembrane receptor that is expressed in a variety of different tissues and mediates pleiotropic biological effects through its ligand stein cell factor (SCF). Sporadic mutations of Kit as well as autocrine/paracrine activation mechanisms of the SCF/Kit pathway have been implicated in a variety of malignancies, where its primary contribution to metastases is in enhancing tumor growth and reducing apoptosis. For example, Kit is frequently Mutated and activated in gastrointestinal stromal tumors (GISTs) and there is ligand-mediated activation of Kit in some lung cancers. Kit is a convenient target in Kit-induced tumors and inhibition of this receptor with the small molecule drug Gleevec (imatinib mesylate, STI571) in GIST has shown dramatic efficacy. Unfortunately, past experience has demonstrated that chemotherapy of cancers with a single drug often leads to resistance of the cancer. Further understanding of the molecular mechanisms underlying Kit-rnediated transformation is therefore important and may lead to the identification of further novel drug targets. These Kit-specific signaling pathways may then be targeted to overcome potential drug resistance. This review will focus on our understanding of the molecular mechanisms involved in transformation by Kit. The potential mechanisms by which Kit induces cellular transformation are described. We will also discuss the role and expression of Kit in various malignancies. Ultimately, the understanding of c-Kit biology. biochemistry, and mutational analysis will lead to better therapeutics. (C) 2003 Elsevier Ltd. All rights reserved.
引用
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页码:S11 / S20
页数:10
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