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个体化癌症治疗:预测肿瘤反应的分子方法

Individualized cancer therapy: molecular approaches to the prediction of tumor response.

作者信息

McLeod Howard L

机构信息

Washington University School of Medicine, Department of Medicine, 660 S. Euclid, Campus Box 8069, St. Louis, MO 63110, USA.

出版信息

Expert Rev Anticancer Ther. 2002 Feb;2(1):113-9. doi: 10.1586/14737140.2.1.113.

Abstract

A major issue with current cancer therapy is how to ensure the maximum benefit with minimum toxicity for individual patients. With the progress of the human genome project have come high-throughput technologies for the analysis of DNA, gene expression or tumor protein in an efficient and quantitative manner. This review will highlight areas of progress with use of molecular approaches to improve the prediction of tumor response, towards the goal of optimized therapy for each individual patient.

摘要

当前癌症治疗的一个主要问题是如何确保个体患者在毒性最小的情况下获得最大益处。随着人类基因组计划的进展,出现了以高效、定量方式分析DNA、基因表达或肿瘤蛋白的高通量技术。本综述将重点介绍利用分子方法在改善肿瘤反应预测方面取得进展的领域,以实现针对每个个体患者的优化治疗目标。

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