Suppr超能文献

不同的细胞外囊泡浓度及其整合素 α/β、EpCAM 和聚糖蛋白-1 在胰腺癌模型中的生物标志物表达。

Differential extracellular vesicle concentration and their biomarker expression of integrin α/β, EpCAM, and glypican-1 in pancreatic cancer models.

机构信息

Departments of Physics, North Dakota State University, Fargo, ND, 58108, USA.

Biological Sciences, North Dakota State University, Fargo, ND, 58108, USA.

出版信息

Sci Rep. 2024 Jun 20;14(1):14273. doi: 10.1038/s41598-024-65209-8.

Abstract

Tumor-derived extracellular vesicles (EVs) show great potential as biomarkers for several diseases, including pancreatic cancer, due to their roles in cancer development and progression. However, the challenge of utilizing EVs as biomarkers lies in their inherent heterogeneity in terms of size and concentration, making accurate quantification difficult, which is highly dependent on the isolation and quantification methods used. In our study, we compared three EV isolation techniques and two EV quantification methods. We observed variations in EV concentration, with approximately 1.5-fold differences depending on the quantification method used. Interestingly, all EV isolation techniques consistently yielded similar EV quantities, overall size distribution, and modal sizes. In contrast, we found a notable increase in total EV amounts in samples from pancreatic cancer cell lines, mouse models, and patient plasma, compared to non-cancerous conditions. Moreover, individual tumor-derived EVs exhibited at least a 3-fold increase in several EV biomarkers. Our data, obtained from EVs isolated using various techniques and quantified through different methods, as well as originating from various pancreatic cancer models, suggests that EV profiling holds promise for the identification of unique and cancer-specific biomarkers in pancreatic cancer.

摘要

肿瘤来源的细胞外囊泡 (EVs) 在癌症发生和发展中的作用使其在包括胰腺癌在内的多种疾病中作为生物标志物具有巨大潜力。然而,将 EVs 用作生物标志物的挑战在于其在大小和浓度方面存在固有异质性,这使得准确定量变得困难,这高度依赖于所使用的分离和定量方法。在我们的研究中,我们比较了三种 EV 分离技术和两种 EV 定量方法。我们观察到 EV 浓度存在差异,使用不同的定量方法,差异约为 1.5 倍。有趣的是,所有 EV 分离技术都一致地产生了相似的 EV 数量、总体大小分布和模态大小。相比之下,与非癌性条件相比,我们发现来自胰腺癌细胞系、小鼠模型和患者血浆的样本中总 EV 量显著增加。此外,个体肿瘤来源的 EVs 中几种 EV 生物标志物的含量增加了至少 3 倍。我们的数据来自使用不同技术分离的 EVs,并通过不同的方法进行定量,并且源自各种胰腺癌模型,表明 EV 分析有望鉴定出胰腺癌中独特的癌症特异性生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b5b/11189911/a7e196a38d2b/41598_2024_65209_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验