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从 HER2/Neu 转基因小鼠的原发性肿瘤中分离的肿瘤干细胞的蛋白质组学分析。

Proteomic profiling of cancer stem cells derived from primary tumors of HER2/Neu transgenic mice.

机构信息

Department of Biological Science, Centre for Colon Cancer, University of South Carolina, Columbia, SC 29205, USA.

出版信息

Proteomics. 2012 Nov;12(22):3407-15. doi: 10.1002/pmic.201200103. Epub 2012 Oct 23.

Abstract

Human epidermal growth factor receptor 2 (HER2) overexpression leads to mammary tumorigenesis and its elevated levels lead to increase in cancer stem cells (CSCs), invasion, and metastasis. CSCs are resistant to radiation/chemotherapeutic drugs and are believed to be responsible for recurrence/relapse of cancer. CSCs are isolated using flow cytometry based sorting, although reliable, this technology hinders the convenient identification of molecular targets of CSCs. Therefore to understand the molecular players of increased CSC through HER2 overexpression and to develop meaningful targets for combination therapy, we isolated and characterized breast CSCs through convenient tumorsphere culture. We identified the altered protein expression in CSC as compared to non-CSC using LC-MS/MS and confirmed those results using qRT-PCR and Western blotting. Ferritin heavy chain 1 (FTH1) was identified as a candidate gene, which is involved in iron metabolism and iron depletion significantly decreased the self-renewal of CSCs. We further performed in silico analysis of altered genes in tumorsphere and identified a set of genes (PTMA, S100A4, S100A6, TNXRD1, COX-1, COX-2, KRT14, and FTH1), representing possible molecular targets, which in combination showed a promise to be used as prognostic markers for breast cancer.

摘要

人表皮生长因子受体 2(HER2)过表达导致乳腺癌的发生,其水平的升高导致癌症干细胞(CSC)增加、侵袭和转移。CSC 对放射/化疗药物有耐药性,被认为是癌症复发/转移的原因。CSC 是通过基于流式细胞术的分选来分离的,尽管这种技术可靠,但它阻碍了对 CSC 分子靶点的方便鉴定。因此,为了了解通过 HER2 过表达增加 CSC 的分子参与者,并为联合治疗开发有意义的靶点,我们通过方便的肿瘤球体培养来分离和表征乳腺 CSC。我们使用 LC-MS/MS 鉴定了 CSC 与非 CSC 相比的改变的蛋白表达,并使用 qRT-PCR 和 Western blot 验证了这些结果。铁蛋白重链 1(FTH1)被鉴定为候选基因,它参与铁代谢,铁耗竭显著降低了 CSC 的自我更新。我们进一步对肿瘤球体中改变的基因进行了计算机分析,并鉴定了一组基因(PTMA、S100A4、S100A6、TNXRD1、COX-1、COX-2、KRT14 和 FTH1),它们代表了可能的分子靶点,联合使用可能被用作乳腺癌的预后标志物。

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