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通过二维聚丙烯酰胺凝胶电泳(2D-PAGE)联合质谱分析人乳蛋白质组学,评估乳腺癌风险。

Proteomics analysis of human breast milk by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) coupled with mass spectrometry to assess breast cancer risk.

机构信息

Biochemistry and Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, New York, USA.

Department of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.

出版信息

Electrophoresis. 2023 Jul;44(13-14):1097-1113. doi: 10.1002/elps.202300040. Epub 2023 Apr 10.

DOI:10.1002/elps.202300040
PMID:36971330
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10522790/
Abstract

Breast cancer (BC) is one of the most common cancers and one of the most common causes for cancer-related mortality. Discovery of protein biomarkers associated with cancer is considered important for early diagnosis and prediction of the cancer risk. Protein biomarkers could be investigated by large-scale protein investigation or proteomics, using mass spectrometry (MS)-based techniques. Our group applies MS-based proteomics to study the protein pattern in human breast milk from women with BC and controls and investigates the alterations and dysregulations of breast milk proteins in comparison pairs of BC versus control. These dysregulated proteins might be considered potential future biomarkers of BC. Identification of potential biomarkers in breast milk may benefit young women without BC, but who could collect the milk for future assessment of BC risk. Previously we identified several dysregulated proteins in different sets of human breast milk samples from BC patients and controls using gel-based protein separation coupled with MS. Here, we performed 2D-PAGE coupled with nano-liquid chromatography-tandem MS (nanoLC-MS/MS) in a small-scale study on a set of six human breast milk pairs (three BC samples vs. three controls) and we identified several dysregulated proteins that have potential roles in cancer progression and might be considered potential BC biomarkers in the future.

摘要

乳腺癌(BC)是最常见的癌症之一,也是癌症相关死亡的最常见原因之一。发现与癌症相关的蛋白质生物标志物被认为对早期诊断和癌症风险预测很重要。蛋白质生物标志物可以通过大规模蛋白质研究或蛋白质组学,使用基于质谱(MS)的技术进行研究。我们的研究小组应用基于 MS 的蛋白质组学来研究来自 BC 患者和对照组女性的人乳中的蛋白质模式,并研究比较 BC 与对照时乳蛋白的改变和失调。这些失调的蛋白质可能被认为是 BC 的潜在未来生物标志物。在乳腺癌中鉴定潜在的生物标志物可能对没有乳腺癌的年轻女性有益,但这些女性可以收集乳汁,以便将来评估乳腺癌的风险。以前,我们使用基于凝胶的蛋白质分离与 MS 相结合,在不同的 BC 患者和对照组的人乳样本中鉴定了几种失调蛋白。在这里,我们在一组六对人乳样本(三组 BC 样本与三组对照组)的小规模研究中进行了 2D-PAGE 与纳升液相色谱-串联质谱(nanoLC-MS/MS)联用,并鉴定了几种失调蛋白,这些蛋白在癌症进展中可能具有潜在作用,并可能被认为是未来的潜在 BC 生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a21b/10522790/e94770905aba/nihms-1886343-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a21b/10522790/8209a8e778d9/nihms-1886343-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a21b/10522790/6e3fec133876/nihms-1886343-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a21b/10522790/e94770905aba/nihms-1886343-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a21b/10522790/8209a8e778d9/nihms-1886343-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a21b/10522790/6e3fec133876/nihms-1886343-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a21b/10522790/e94770905aba/nihms-1886343-f0003.jpg

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