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新型乳腺癌转移相关蛋白。

Novel breast cancer metastasis-associated proteins.

作者信息

Ho Jiapei, Kong Jacklyn-Wai-Fun, Choong Lee-Yee, Loh Marie-Chiew-Shia, Toy Weiyi, Chong Poh-Kuan, Wong Chee-Hong, Wong Chow-Yin, Shah Nilesh, Lim Yoon-Pin

机构信息

Oncology Research Institute, Yong Loo Lin School of Medicine, Singapore.

出版信息

J Proteome Res. 2009 Feb;8(2):583-94. doi: 10.1021/pr8007368.

DOI:10.1021/pr8007368
PMID:19086899
Abstract

With the use of the breast cancer metastatic model, which comprises four isogenic cell lines, iTRAQ-based ESI-LC/MS/MS proteomics was employed to catalog protein expression changes as cancer cells acquire increasing metastatic potential. From more than 1000 proteins detected, 197 proteins, including drug-targetable kinases, phosphatases, proteases and transcription factors, displayed differential expression when cancer cells becomes more metastatic. Overall, the number of protein expression changes was evenly distributed across mildly ( approximately 30%), moderately ( approximately 40%) and aggressively ( approximately 30%) metastatic cancer cells. Some changes were found to be specific to one while others were required for two or more phenotypes. KEGG Orthology suggests major reprogramming in cell metabolism and to smaller extents in genetic and environmental information processing. Ten novel metastasis-associated proteins were identified and the iTRAQ-based expression profiles of 7 proteins were verified to be congruent with antibody-based methods. With the use of tissue microarrays comprising 50 matched cases of invasive and metastatic lesions, the expression profiles of SH3GLB1 and SUB1, SND1, TRIM28 were validated to be down- and up-regulated, respectively, during clinical progression of carcinoma in situ to invasive and metastatic carcinomas. Our study has unraveled proteome-wide molecular aberrations and potentially new players in breast cancer metastasis.

摘要

利用包含四种同基因细胞系的乳腺癌转移模型,采用基于iTRAQ的ESI-LC/MS/MS蛋白质组学技术,对癌细胞获得更高转移潜能时的蛋白质表达变化进行分类编目。在检测到的1000多种蛋白质中,当癌细胞转移能力增强时,197种蛋白质(包括可作为药物靶点的激酶、磷酸酶、蛋白酶和转录因子)呈现出差异表达。总体而言,蛋白质表达变化的数量在轻度转移(约30%)、中度转移(约40%)和高度转移(约30%)的癌细胞中均匀分布。发现一些变化是某一种转移程度的癌细胞所特有的,而其他一些变化则是两种或更多种表型所共有的。京都基因与基因组百科全书(KEGG)直系同源分析表明,细胞代谢发生了重大重编程,而在遗传和环境信息处理方面的重编程程度较小。鉴定出10种新的转移相关蛋白,并且基于iTRAQ的7种蛋白的表达谱被证实与基于抗体的方法一致。利用包含50对匹配的原位癌、浸润癌和转移癌病变的组织芯片对SH3GLB1、SUB1、SND1、TRIM28的表达谱进行验证,结果显示在原位癌向浸润癌和转移癌的临床进展过程中,SH3GLB1表达下调,SUB1、SND1、TRIM28表达上调。我们的研究揭示了乳腺癌转移过程中全蛋白质组范围的分子异常情况以及潜在的新作用因子。

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