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用于识别癌症新治疗策略的微阵列技术。

Microarrays to identify new therapeutic strategies for cancer.

作者信息

Sears Christopher, Armstrong Scott A

机构信息

Division of Hematology/Oncology, Children's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02115, USA.

出版信息

Adv Cancer Res. 2007;96:51-74. doi: 10.1016/S0065-230X(06)96003-5.

Abstract

Over the past decade, microarrays have emerged as an important tool for the characterization of cancer cells. Numerous studies have demonstrated that cDNA arrays can help delineate biological subsets of disease that have prognostic relevance. Such studies provide hope that introduction of this information into clinical trials will lead to more biologically based stratification schemes such that appropriately tailored therapies can be developed. While the identification of unique subsets of cancer promises to improve our ability to predict which cancers are unlikely to have a significant response to therapy, new therapeutic approaches are needed in most cases. The wealth of information that comes from microarray analysis of cancer likely holds the information necessary to develop such approaches. This chapter will provide examples where microarray analysis has been used in an attempt to either direct the use of current therapies or identify new potential therapeutic avenues.

摘要

在过去十年中,微阵列已成为表征癌细胞的重要工具。大量研究表明,cDNA阵列有助于描绘具有预后相关性的疾病生物学亚组。此类研究带来了希望,即将这些信息引入临床试验将产生更多基于生物学的分层方案,从而能够开发出量身定制的疗法。虽然识别癌症的独特亚组有望提高我们预测哪些癌症不太可能对治疗产生显著反应的能力,但在大多数情况下仍需要新的治疗方法。来自癌症微阵列分析的大量信息可能包含开发此类方法所需的信息。本章将提供一些例子,说明微阵列分析已被用于指导当前疗法的使用或识别新的潜在治疗途径。

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