Predictors of Response to Targeted Therapies for Gastrointestinal Stromal Tumors

Author:

Marrari Andrea,Wagner Andrew J.,Hornick Jason L.

Abstract

Context.—The inhibition of oncogenic kinase signaling is a successful strategy to treat both hematologic and solid malignancies. Patients with chronic myelogenous leukemia, lung adenocarcinoma, renal cell carcinoma, and gastrointestinal stromal tumors are experiencing tremendous clinical benefits from targeted therapies in the form of kinase inhibitors. These drugs marked a revolution in cancer treatment, not only for their safety and efficacy, but also because they continue to expand our knowledge of the pathophysiology of cancer. Objective.—To provide a summary of the biologic predictors of gastrointestinal stromal tumor behavior and response to targeted therapies that currently help guide clinical decision making. Data Sources.—Published articles pertaining to the diagnosis, molecular genetics, prognostication, clinical behavior, and treatment of gastrointestinal stromal tumors, as well as experiences in a multidisciplinary sarcoma clinic. Conclusions.—In gastrointestinal stromal tumors, the strongest predictor of response to targeted therapies is the mutational status of KIT or PDGFRA. Patients whose tumors harbor a KIT exon 11 mutation benefit the most from imatinib mesylate therapy, in terms of response rate, progression-free survival, and overall survival. Conversely, tumors without detectable mutations in either gene (“wild-type” gastrointestinal stromal tumors) are generally not responsive to imatinib mesylate.

Publisher

Archives of Pathology and Laboratory Medicine

Subject

Medical Laboratory Technology,General Medicine,Pathology and Forensic Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3