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循环细胞外囊泡的蛋白质组学分析鉴定出乳腺癌进展、复发和反应的潜在标志物。

Proteomic analysis of circulating extracellular vesicles identifies potential markers of breast cancer progression, recurrence, and response.

机构信息

Weizmann Institute of Science, Rehovot, Israel.

Knight Cancer Institute, Portland, OR 97201, USA.

出版信息

Sci Adv. 2020 Oct 2;6(40). doi: 10.1126/sciadv.aba5714. Print 2020 Oct.

Abstract

Proteomic profiling of circulating small extracellular vesicles (sEVs) represents a promising, noninvasive approach for early detection and therapeutic monitoring of breast cancer (BC). We describe a relatively low-cost, fast, and reliable method to isolate sEVs from plasma of BC patients and analyze their protein content by semiquantitative proteomics. sEV-enriched fractions were isolated from plasma of healthy controls and BC patients at different disease stages before and after surgery. Proteomic analysis of sEV-enriched fractions using reverse phase protein array revealed a signature of seven proteins that differentiated BC patients from healthy individuals, of which FAK and fibronectin displayed high diagnostic accuracy. The size of sEVs was significantly reduced in advanced disease stage, concomitant with a stage-specific protein signature. Furthermore, we observed protein-based distinct clusters of healthy controls, chemotherapy-treated and untreated postsurgery samples, as well as a predictor of high risk of cancer relapse, suggesting that the applied methods warrant development for advanced diagnostics.

摘要

循环型小细胞外囊泡(sEVs)的蛋白质组学特征分析为乳腺癌(BC)的早期检测和治疗监测提供了一种很有前途的非侵入性方法。我们描述了一种相对低成本、快速且可靠的方法,可从 BC 患者的血浆中分离 sEVs,并通过半定量蛋白质组学分析其蛋白质含量。在手术前后的不同疾病阶段,从健康对照组和 BC 患者的血浆中分离富含 sEV 的级分。使用反相蛋白阵列对富含 sEV 的级分进行蛋白质组学分析,揭示了区分 BC 患者和健康个体的七种蛋白质的特征,其中 FAK 和纤维连接蛋白显示出较高的诊断准确性。在晚期疾病阶段,sEVs 的大小明显减小,同时伴有特定于阶段的蛋白质特征。此外,我们观察到健康对照组、化疗治疗和未治疗手术后样本的基于蛋白质的不同聚类,以及癌症复发高风险的预测因子,这表明所应用的方法值得进一步开发以用于高级诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0571/7852393/93c2a4ceb587/aba5714-F1.jpg

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