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乳腺癌的基因表达谱分析

Gene expression profiling of breast cancer.

作者信息

Bao Ting, Davidson Nancy E

机构信息

The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University, 1650 Orleans Street, Baltimore, Maryland 21231, USA.

出版信息

Adv Surg. 2008;42:249-60. doi: 10.1016/j.yasu.2008.03.002.

DOI:10.1016/j.yasu.2008.03.002
PMID:18953822
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2775529/
Abstract

Gene expression profiling is enabling scientists to understand the heterogeneous nature of breast cancer on a genomic level. Several gene expression profiles for breast cancers have emerged in the initial studies and appear to be generally concordant in their ability to predict poor outcome. Of these profiles, the Oncotype Dx and Mammaprint assays are the best validated and are commercially available. Their role in clinical practice is being refined through ongoing clinical trials. Other efforts are directed at determining host factors that might help identify prognosis as well as response and toxicity of therapy. It is expected that availability of these types of analyses will only increase in the future. It will be imperative that such assays be well validated and have implications for how to modify care for the individual patient.

摘要

基因表达谱分析使科学家能够在基因组水平上了解乳腺癌的异质性。在最初的研究中出现了几种乳腺癌的基因表达谱,并且它们在预测不良预后的能力上似乎总体一致。在这些谱中,Oncotype Dx和Mammaprint检测是经过最佳验证且可商购的。它们在临床实践中的作用正在通过正在进行的临床试验得到完善。其他研究致力于确定可能有助于识别预后以及治疗反应和毒性的宿主因素。预计这类分析在未来只会越来越多。至关重要的是,此类检测要经过充分验证,并对如何针对个体患者调整治疗具有指导意义。

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本文引用的文献

1
Molecular profiling in breast cancer.乳腺癌中的分子谱分析
Rev Endocr Metab Disord. 2007 Sep;8(3):185-98. doi: 10.1007/s11154-007-9035-3.
2
Role of CYP2D6 testing in selection of endocrine therapy for breast cancer.CYP2D6检测在乳腺癌内分泌治疗选择中的作用。
Pharmacogenomics. 2007 Jan;8(1):1-3. doi: 10.2217/14622416.8.1.1.
3
Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.70基因预后特征对淋巴结阴性乳腺癌女性患者的验证及临床应用价值
J Natl Cancer Inst. 2006 Sep 6;98(17):1183-92. doi: 10.1093/jnci/djj329.
4
Concordance among gene-expression-based predictors for breast cancer.基于基因表达的乳腺癌预测指标之间的一致性。
N Engl J Med. 2006 Aug 10;355(6):560-9. doi: 10.1056/NEJMoa052933.
5
Microarray analysis and tumor classification.微阵列分析与肿瘤分类
N Engl J Med. 2006 Jun 8;354(23):2463-72. doi: 10.1056/NEJMra042342.
6
A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.一项基于人群的淋巴结阴性患者肿瘤基因表达与乳腺癌死亡风险的研究。
Breast Cancer Res. 2006;8(3):R25. doi: 10.1186/bcr1412. Epub 2006 May 31.
7
Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.基因表达与化疗对淋巴结阴性、雌激素受体阳性乳腺癌女性患者的益处。
J Clin Oncol. 2006 Aug 10;24(23):3726-34. doi: 10.1200/JCO.2005.04.7985. Epub 2006 May 23.
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NCCN Task Force Report: Adjuvant Therapy for Breast Cancer.美国国立综合癌症网络(NCCN)工作组报告:乳腺癌辅助治疗
J Natl Compr Canc Netw. 2006 Mar;4 Suppl 1:S1-26.
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Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer.基于基因表达的预后特征在淋巴结阴性原发性乳腺癌中的多中心验证
J Clin Oncol. 2006 Apr 10;24(11):1665-71. doi: 10.1200/JCO.2005.03.9115. Epub 2006 Feb 27.
10
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J Clin Oncol. 2005 Dec 20;23(36):9312-8. doi: 10.1200/JCO.2005.03.3266.