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癌症转移的功能基因组分析:生物学见解与临床意义。

Functional genomic analysis of cancer metastasis: biologic insights and clinical implications.

作者信息

Kang Yibin

机构信息

Princeton University Department of Molecular Biology, Princeton, NJ 08544, USA.

出版信息

Expert Rev Mol Diagn. 2005 May;5(3):385-95. doi: 10.1586/14737159.5.3.385.

DOI:10.1586/14737159.5.3.385
PMID:15934815
Abstract

Metastasis, the spread of cancer from primary tumors to distant vital organs, has devastating consequences. Lack of effective tools to study this complex problem has hindered the development of accurate prognostic methods and effective treatments for metastatic cancer. In the postgenomic era, the application of genomic profiling methods to the analysis of clinical metastasis samples and animal metastasis models has revolutionized the field of metastasis research. This article reviews recent breakthroughs in the functional genomic analysis of metastasis. In addition, its impacts on our understanding of the molecular basis of metastasis and on clinical practice are discussed.

摘要

转移,即癌症从原发肿瘤扩散至远处重要器官,会产生毁灭性后果。缺乏研究这一复杂问题的有效工具阻碍了转移性癌症准确预后方法和有效治疗手段的发展。在后基因组时代,基因组分析方法在临床转移样本及动物转移模型分析中的应用彻底改变了转移研究领域。本文综述了转移功能基因组分析方面的最新突破。此外,还讨论了其对我们理解转移分子基础及临床实践的影响。

相似文献

1
Functional genomic analysis of cancer metastasis: biologic insights and clinical implications.癌症转移的功能基因组分析:生物学见解与临床意义。
Expert Rev Mol Diagn. 2005 May;5(3):385-95. doi: 10.1586/14737159.5.3.385.
2
Molecular targets in metastasis: lessons from genomic approaches.转移中的分子靶点:基因组学方法的启示
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[Prognostic molecular classification of breast cancers based on gene expression profiling].基于基因表达谱的乳腺癌预后分子分类
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The gene expression profile represents the molecular nature of liver metastasis in colorectal cancer.基因表达谱代表了结直肠癌肝转移的分子特性。
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Identification of a metastasis signature and the DLX4 homeobox protein as a regulator of metastasis by combined transcriptome approach.通过联合转录组方法鉴定转移特征及DLX4同源盒蛋白作为转移调节因子
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SATB1 reprogrammes gene expression to promote breast tumour growth and metastasis.SATB1 重新编程基因表达以促进乳腺肿瘤生长和转移。
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Metastasis signatures: genes regulating tumor-microenvironment interactions predict metastatic behavior.转移特征:调控肿瘤微环境相互作用的基因可预测转移行为。
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Molecular correlates of site-specific metastasis.位点特异性转移的分子关联
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引用本文的文献

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Computational Identification of Key Regulators in Two Different Colorectal Cancer Cell Lines.两种不同结肠癌细胞系中关键调节因子的计算鉴定
Front Genet. 2016 Apr 5;7:42. doi: 10.3389/fgene.2016.00042. eCollection 2016.
2
Conditioning solid tumor microenvironment through inflammatory chemokines and S100 family proteins.通过炎性趋化因子和S100家族蛋白调节实体瘤微环境
Cancer Lett. 2015 Aug 28;365(1):11-22. doi: 10.1016/j.canlet.2015.05.002. Epub 2015 May 8.
3
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.
4
A systems biology approach to defining metastatic biomarkers and signaling pathways.一种用于定义转移生物标志物和信号通路的系统生物学方法。
Wiley Interdiscip Rev Syst Biol Med. 2009 Jul-Aug;1(1):89-96. doi: 10.1002/wsbm.6.
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Organ-specific enhancement of metastasis by spontaneous ploidy duplication and cell size enlargement.自发性倍性复制和细胞体积增大导致器官特异性转移增强。
Cell Res. 2010 Sep;20(9):1012-22. doi: 10.1038/cr.2010.93. Epub 2010 Jul 13.
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Pdcd4 repression of lysyl oxidase inhibits hypoxia-induced breast cancer cell invasion.Pdcd4 通过抑制赖氨酰氧化酶抑制低氧诱导的乳腺癌细胞侵袭。
Oncogene. 2010 Jul 8;29(27):3921-32. doi: 10.1038/onc.2010.158. Epub 2010 May 24.
7
Metabolomic changes accompanying transformation and acquisition of metastatic potential in a syngeneic mouse mammary tumor model.伴随同源小鼠乳腺肿瘤模型转化和获得转移潜能的代谢组学变化。
J Biol Chem. 2010 Mar 26;285(13):9317-9321. doi: 10.1074/jbc.C110.104448. Epub 2010 Feb 5.
8
MTDH activation by 8q22 genomic gain promotes chemoresistance and metastasis of poor-prognosis breast cancer.8q22基因组增益激活MTDH可促进预后不良乳腺癌的化疗耐药性和转移。
Cancer Cell. 2009 Jan 6;15(1):9-20. doi: 10.1016/j.ccr.2008.11.013.
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Organotropism of breast cancer metastasis.乳腺癌转移的器官嗜性。
J Mammary Gland Biol Neoplasia. 2007 Sep;12(2-3):153-62. doi: 10.1007/s10911-007-9047-3.
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Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target.胶质母细胞瘤致癌信号网络分析确定ASPM为分子靶点。
Proc Natl Acad Sci U S A. 2006 Nov 14;103(46):17402-7. doi: 10.1073/pnas.0608396103. Epub 2006 Nov 7.