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将微阵列分析用作肿瘤学中的预后和预测工具:聚焦于乳腺癌及正常组织毒性。

Using microarray analysis as a prognostic and predictive tool in oncology: focus on breast cancer and normal tissue toxicity.

作者信息

Nuyten Dimitry S A, van de Vijver Marc J

机构信息

Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

出版信息

Semin Radiat Oncol. 2008 Apr;18(2):105-14. doi: 10.1016/j.semradonc.2007.10.007.

Abstract

Microarray analysis makes it possible to study the expression levels of tens of thousands of genes in one single experiment and is widely available for research purposes. Gene expression profiling is currently being used in many research projects aimed at identifying gene expression signatures in malignant tumors associated with prognosis and response to therapy. An important goal of such research is to develop gene expression-based diagnostic tests that can be used to guide therapy in cancer patients. Here we provide examples of studies using microarrays, especially focusing on breast cancer, in a wide range of fields including prediction of prognosis, distant metastasis and local recurrence, therapy response to radio- and chemotherapy, and normal tissue response.

摘要

微阵列分析使得在一次实验中研究数以万计基因的表达水平成为可能,并且广泛用于研究目的。基因表达谱目前正被用于许多旨在识别与预后及治疗反应相关的恶性肿瘤中基因表达特征的研究项目。此类研究的一个重要目标是开发基于基因表达的诊断测试,可用于指导癌症患者的治疗。在此,我们提供了使用微阵列的研究示例,尤其聚焦于乳腺癌,涉及广泛领域,包括预后预测、远处转移和局部复发、放疗和化疗的治疗反应以及正常组织反应。

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