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Intravital multiphoton imaging reveals multicellular streaming as a crucial component of in vivo cell migration in human breast tumors.活体多光子成像揭示多细胞流是人类乳腺肿瘤体内细胞迁移的关键组成部分。
Intravital. 2013 Apr 1;2(2):e25294. doi: 10.4161/intv.25294.
2
Talin regulates moesin-NHE-1 recruitment to invadopodia and promotes mammary tumor metastasis.踝蛋白调节埃兹蛋白-钠氢交换体1向侵袭伪足的募集并促进乳腺肿瘤转移。
J Cell Biol. 2014 Jun 9;205(5):737-51. doi: 10.1083/jcb.201312046. Epub 2014 Jun 2.
3
Taxonomy of breast cancer based on normal cell phenotype predicts outcome.基于正常细胞表型的乳腺癌分类预测预后。
J Clin Invest. 2014 Feb;124(2):859-70. doi: 10.1172/JCI70941. Epub 2014 Jan 27.
4
Intra-tumor heterogeneity: lessons from microbial evolution and clinical implications.肿瘤内异质性:微生物进化带来的启示及临床意义
Genome Med. 2013 Nov 22;5(11):101. doi: 10.1186/gm505. eCollection 2013.
5
The causes and consequences of genetic heterogeneity in cancer evolution.癌症进化中遗传异质性的原因和后果。
Nature. 2013 Sep 19;501(7467):338-45. doi: 10.1038/nature12625.
6
Protein kinase C α is a central signaling node and therapeutic target for breast cancer stem cells.蛋白激酶 Cα 是乳腺癌干细胞的核心信号节点和治疗靶点。
Cancer Cell. 2013 Sep 9;24(3):347-64. doi: 10.1016/j.ccr.2013.08.005.
7
Cyclooxygenase-2 utilizes Jun N-terminal kinases to induce invasion, but not tamoxifen resistance, in MCF-7 breast cancer cells.环氧化酶-2 通过 Jun N-末端激酶诱导 MCF-7 乳腺癌细胞侵袭,但不诱导他莫昔芬耐药。
Oncol Rep. 2013 Sep;30(3):1506-10. doi: 10.3892/or.2013.2549. Epub 2013 Jun 19.
8
The Gray Institute 'open' high-content, fluorescence lifetime microscopes.格雷研究所开放高内涵荧光寿命显微镜。
J Microsc. 2013 Aug;251(2):154-67. doi: 10.1111/jmi.12057. Epub 2013 Jun 12.
9
Tumour heterogeneity and immune-modulation.肿瘤异质性与免疫调节。
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10
The shaping and functional consequences of the microRNA landscape in breast cancer.乳腺癌中 microRNA 景观的形成和功能后果。
Nature. 2013 May 16;497(7449):378-82. doi: 10.1038/nature12108. Epub 2013 May 5.

成像乳腺癌患者中蛋白激酶Cα底物相互作用后果的肿瘤异质性。

Imaging tumour heterogeneity of the consequences of a PKCα-substrate interaction in breast cancer patients.

作者信息

Weitsman Gregory, Lawler Katherine, Kelleher Muireann T, Barrett James E, Barber Paul R, Shamil Eamon, Festy Frederic, Patel Gargi, Fruhwirth Gilbert O, Huang Lufei, Tullis Iain D C, Woodman Natalie, Ofo Enyinnaya, Ameer-Beg Simon M, Irshad Sheeba, Condeelis John, Gillett Cheryl E, Ellis Paul A, Vojnovic Borivoj, Coolen Anthony C C, Ng Tony

机构信息

*Richard Dimbleby Department of Cancer Research, Randall Division & Division of Cancer Studies, Kings College London, Guy's Medical School Campus, London SE1 1UL, U.K.

†Department of Mathematics, King's College London, Strand Campus, London WC2R 2LS, U.K.

出版信息

Biochem Soc Trans. 2014 Dec;42(6):1498-505. doi: 10.1042/BST20140165.

DOI:10.1042/BST20140165
PMID:25399560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4259014/
Abstract

Breast cancer heterogeneity demands that prognostic models must be biologically driven and recent clinical evidence indicates that future prognostic signatures need evaluation in the context of early compared with late metastatic risk prediction. In pre-clinical studies, we and others have shown that various protein-protein interactions, pertaining to the actin microfilament-associated proteins, ezrin and cofilin, mediate breast cancer cell migration, a prerequisite for cancer metastasis. Moreover, as a direct substrate for protein kinase Cα, ezrin has been shown to be a determinant of cancer metastasis for a variety of tumour types, besides breast cancer; and has been described as a pivotal regulator of metastasis by linking the plasma membrane to the actin cytoskeleton. In the present article, we demonstrate that our tissue imaging-derived parameters that pertain to or are a consequence of the PKC-ezrin interaction can be used for breast cancer prognostication, with inter-cohort reproducibility. The application of fluorescence lifetime imaging microscopy (FLIM) in formalin-fixed paraffin-embedded patient samples to probe protein proximity within the typically <10 nm range to address the oncological challenge of tumour heterogeneity, is discussed.

摘要

乳腺癌的异质性要求预后模型必须基于生物学驱动,并且近期的临床证据表明,与晚期转移风险预测相比,未来的预后特征需要在早期转移风险预测的背景下进行评估。在临床前研究中,我们和其他研究人员已经表明,与肌动蛋白微丝相关蛋白埃兹蛋白(ezrin)和丝切蛋白(cofilin)有关的各种蛋白质-蛋白质相互作用介导了乳腺癌细胞的迁移,而这是癌症转移的一个先决条件。此外,作为蛋白激酶Cα的直接底物,埃兹蛋白已被证明除了在乳腺癌中之外,还是多种肿瘤类型癌症转移的一个决定因素;并且通过将质膜与肌动蛋白细胞骨架相连,它被描述为转移的关键调节因子。在本文中,我们证明,我们从组织成像得出的与蛋白激酶C-埃兹蛋白相互作用相关或作为其结果的参数可用于乳腺癌的预后评估,具有队列间的可重复性。本文还讨论了荧光寿命成像显微镜(FLIM)在福尔马林固定石蜡包埋的患者样本中的应用,以探测通常在<10 nm范围内的蛋白质接近程度,从而应对肿瘤异质性这一肿瘤学挑战。