Suppr超能文献

乳腺癌患者的个性化系统治疗:这是现实吗?

Personalized systemic treatment for breast cancer patients: is it a reality?

作者信息

Shimizu Chikako, Fujiwara Yasuhiro

机构信息

Breast and Medical Oncology Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.

出版信息

Breast Cancer. 2008;15(2):141-4. doi: 10.1007/s12282-008-0029-0.

Abstract

There is a clinical demand for tools that could distinguish patients who may benefit or suffer from particular systemic treatments. High throughput technologies such as DNA microarray are anticipated as comprehensive tools for development of accurate predictive markers of treatment outcome. Although technical and statistical problems still exist in pharmacogenomic research, rigorous efforts have been made to realize treatment individualization. Clinicians should be prepared for the future use of these new technologies in the clinic through discussion involving patients and various health-care providers.

摘要

对于能够区分哪些患者可能从特定的全身治疗中获益或遭受不良影响的工具存在临床需求。诸如DNA微阵列之类的高通量技术有望成为开发准确的治疗结果预测标志物的综合工具。尽管药物基因组学研究中仍然存在技术和统计学问题,但人们已经做出了严谨的努力来实现治疗个体化。临床医生应通过包括患者和各类医疗服务提供者在内的讨论,为未来在临床中使用这些新技术做好准备。

相似文献

5
Gene expression-based diagnosis of efficacy of chemotherapy for breast cancer.基于基因表达的乳腺癌化疗疗效诊断。
Breast Cancer. 2010 Apr;17(2):97-102. doi: 10.1007/s12282-009-0180-2. Epub 2009 Dec 15.
7
9
Current status of prognostic profiling in breast cancer.乳腺癌预后分析的现状
Oncologist. 2008 Apr;13(4):350-60. doi: 10.1634/theoncologist.2007-0216.
10
Targeted therapy and pharmacogenomic programs.靶向治疗与药物基因组学计划。
Cancer. 2003 Apr 15;97(8 Suppl):2076-82. doi: 10.1002/cncr.11287.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验