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Genomic approaches in breast cancer research.基因组方法在乳腺癌研究中的应用。
Brief Funct Genomics. 2013 Sep;12(5):391-6. doi: 10.1093/bfgp/elt019. Epub 2013 Jun 20.
2
A simple method for assigning genomic grade to individual breast tumours.一种为个体乳腺肿瘤分配基因组分级的简单方法。
BMC Cancer. 2011 Jul 21;11:306. doi: 10.1186/1471-2407-11-306.
3
An integration of complementary strategies for gene-expression analysis to reveal novel therapeutic opportunities for breast cancer.整合互补的基因表达分析策略,揭示乳腺癌的新治疗机会。
Breast Cancer Res. 2009;11(4):R55. doi: 10.1186/bcr2344. Epub 2009 Jul 28.
4
What to expect from high throughput genomics in metastatic breast cancers?转移性乳腺癌的高通量基因组学研究能带来什么?
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5
[Genomics and clinical research for breast cancer].[乳腺癌的基因组学与临床研究]
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Genomic pathways modulated by Twist in breast cancer.Twist在乳腺癌中调控的基因组通路。
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Signaling pathways in breast cancer metastasis - novel insights from functional genomics.乳腺癌转移中的信号通路——功能基因组学的新见解。
Breast Cancer Res. 2011 Mar 14;13(2):206. doi: 10.1186/bcr2831.

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本文引用的文献

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Whole-genome analysis informs breast cancer response to aromatase inhibition.全基因组分析揭示了乳腺癌对芳香酶抑制的反应。
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Mutational processes molding the genomes of 21 breast cancers.21 例乳腺癌基因组的突变过程。
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Gene expression profiling in breast cancer: classification, prognostication, and prediction.乳腺癌的基因表达谱分析:分类、预后和预测。
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Breast cancer prognostic classification in the molecular era: the role of histological grade.分子时代的乳腺癌预后分类:组织学分级的作用。
Breast Cancer Res. 2010;12(4):207. doi: 10.1186/bcr2607. Epub 2010 Jul 30.
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Genome remodelling in a basal-like breast cancer metastasis and xenograft.基底样乳腺癌转移和异种移植中的基因组重塑。
Nature. 2010 Apr 15;464(7291):999-1005. doi: 10.1038/nature08989.

基因组方法在乳腺癌研究中的应用。

Genomic approaches in breast cancer research.

机构信息

Department of Anatomy, Physiology, and Cell Biology, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA. Tel.: +1 530 754 0146; Fax: +1 530 753 7690;

出版信息

Brief Funct Genomics. 2013 Sep;12(5):391-6. doi: 10.1093/bfgp/elt019. Epub 2013 Jun 20.

DOI:10.1093/bfgp/elt019
PMID:23788797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3776566/
Abstract

Microarray technologies provide high-throughput analysis of genes that are differentially expressed in humans and other species, and thereby provide a means to measure how biological systems are altered during development or disease states. Within, we review how high-throughput genomic technologies have increased our understanding about the molecular complexity of breast cancer, identified distinct molecular phenotypes and how they can be used to increase the accuracy of predicted clinical outcome.

摘要

微阵列技术提供了高通量分析人类和其他物种中差异表达基因的方法,从而提供了一种测量生物系统在发育或疾病状态下如何改变的手段。在这里,我们回顾了高通量基因组技术如何增加我们对乳腺癌分子复杂性的理解,确定了不同的分子表型以及如何利用它们来提高预测临床结果的准确性。