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乳腺癌转移相关蛋白质的定量液相色谱-串联质谱分析

Quantitative LC-MS/MS Analysis of Proteins Involved in Metastasis of Breast Cancer.

作者信息

Goto Rieko, Nakamura Yasushi, Takami Tomonori, Sanke Tokio, Tozuka Zenzaburo

机构信息

Department of Clinical Laboratory Medicine, Wakayama Medical University,Wakayama, Japan; JCL Bioassay Corporation, Nishiwaki, Hyogo, Japan.

Department of Clinical Laboratory Medicine, Wakayama Medical University,Wakayama, Japan.

出版信息

PLoS One. 2015 Jul 15;10(7):e0130760. doi: 10.1371/journal.pone.0130760. eCollection 2015.

Abstract

The purpose of this study was to develop quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods for the analysis of proteins involved in metastasis of breast cancer for diagnosis and determining disease prognosis, as well as to further our understand of metastatic mechanisms. We have previously demonstrated that the protein type XIV collagen may be specifically expressed in metastatic tissues by two dimensional LC-MS/MS. In this study, we developed quantitative LC-MS/MS methods for type XIV collagen. Type XIV collagen was quantified by analyzing 2 peptides generated by digesting type XIV collagen using stable isotope-labeled peptides. The individual concentrations were equivalent between 2 different peptides of type XIV collagen by evaluation of imprecise transitions and using the best transition for the peptide concentration. The results indicated that type XIV collagen is highly expressed in metastatic tissues of patients with massive lymph node involvement compared to non-metastatic tissues. These findings were validated by quantitative real-time RT-PCR. Further studies on type XIV collagen are desired to verify its role as a prognostic factor and diagnosis marker for metastasis.

摘要

本研究的目的是开发定量液相色谱-串联质谱(LC-MS/MS)方法,用于分析参与乳腺癌转移的蛋白质,以进行诊断和确定疾病预后,并进一步加深我们对转移机制的理解。我们之前通过二维LC-MS/MS证明了XIV型胶原蛋白可能在转移组织中特异性表达。在本研究中,我们开发了针对XIV型胶原蛋白的定量LC-MS/MS方法。通过使用稳定同位素标记的肽段分析XIV型胶原蛋白消化产生的2个肽段来对XIV型胶原蛋白进行定量。通过评估不精确的跃迁并使用肽段浓度的最佳跃迁,XIV型胶原蛋白的2种不同肽段之间的个体浓度是等效的。结果表明,与非转移组织相比,XIV型胶原蛋白在有大量淋巴结受累的患者转移组织中高表达。这些发现通过定量实时RT-PCR得到验证。需要对XIV型胶原蛋白进行进一步研究,以验证其作为转移的预后因素和诊断标志物的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc07/4503764/c1549d739312/pone.0130760.g001.jpg

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本文引用的文献

1
The prognostic value of lymph node ratio in node-positive breast cancer: a Dutch nationwide population-based study.
Ann Surg Oncol. 2013 Aug;20(8):2607-14. doi: 10.1245/s10434-013-2932-7. Epub 2013 Mar 28.
2
mProphet: automated data processing and statistical validation for large-scale SRM experiments.
Nat Methods. 2011 May;8(5):430-5. doi: 10.1038/nmeth.1584. Epub 2011 Mar 20.
4
Increased selectivity, analytical precision, and throughput in targeted proteomics.
Mol Cell Proteomics. 2011 Feb;10(2):M110.002931. doi: 10.1074/mcp.M110.002931. Epub 2010 Jul 27.
5
The pivotal roles of mitochondria in cancer: Warburg and beyond and encouraging prospects for effective therapies.
Biochim Biophys Acta. 2010 Jun-Jul;1797(6-7):1225-30. doi: 10.1016/j.bbabio.2010.03.025. Epub 2010 Apr 8.
8
10
Quantitative, multiplexed assays for low abundance proteins in plasma by targeted mass spectrometry and stable isotope dilution.
Mol Cell Proteomics. 2007 Dec;6(12):2212-29. doi: 10.1074/mcp.M700354-MCP200. Epub 2007 Oct 15.

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