Suppr超能文献

通过自动过滤从胰腺癌中分离循环肿瘤细胞。

Isolation of circulating tumor cells from pancreatic cancer by automated filtration.

作者信息

Brychta Nora, Drosch Michael, Driemel Christiane, Fischer Johannes C, Neves Rui P, Esposito Irene, Knoefel Wolfram, Möhlendick Birte, Hille Claudia, Stresemann Antje, Krahn Thomas, Kassack Matthias U, Stoecklein Nikolas H, von Ahsen Oliver

机构信息

Bayer AG, Biomarker Research, 13353 Berlin, Germany.

Current/Present address: JPT Peptide Technologies GmbH, 12489 Berlin, Germany.

出版信息

Oncotarget. 2017 Sep 16;8(49):86143-86156. doi: 10.18632/oncotarget.21026. eCollection 2017 Oct 17.

Abstract

It is now widely recognized that the isolation of circulating tumor cells based on cell surface markers might be hindered by variability in their protein expression. Especially in pancreatic cancer, isolation based only on EpCAM expression has produced very diverse results. Methods that are independent of surface markers and therefore independent of phenotypical changes in the circulating cells might increase CTC recovery also in pancreatic cancer. We compared an EpCAM-dependent (IsoFlux) and a size-dependent (automated Siemens Healthineers filtration device) isolation method for the enrichment of pancreatic cancer CTCs. The recovery rate of the filtration based approach is dramatically superior to the EpCAM-dependent approach especially for cells with low EpCAM-expression (filtration: 52%, EpCAM-dependent: 1%). As storage and shipment of clinical samples is important for centralized analyses, we also evaluated the use of frozen diagnostic leukapheresis (DLA) as source for isolating CTCs and subsequent genetic analysis such as mutation detection analysis. Using frozen DLA samples of pancreatic cancer patients we detected CTCs in 42% of the samples by automated filtration.

摘要

现在人们普遍认识到,基于细胞表面标志物分离循环肿瘤细胞可能会受到其蛋白质表达变异性的阻碍。特别是在胰腺癌中,仅基于EpCAM表达进行分离产生了非常多样的结果。独立于表面标志物且因此独立于循环细胞表型变化的方法可能也会提高胰腺癌中循环肿瘤细胞(CTC)的回收率。我们比较了一种依赖EpCAM的(IsoFlux)和一种依赖大小的(西门子医疗自动化过滤装置)分离方法用于富集胰腺癌CTC。基于过滤方法的回收率显著优于依赖EpCAM的方法,尤其是对于低EpCAM表达的细胞(过滤:52%,依赖EpCAM:1%)。由于临床样本的储存和运输对于集中分析很重要,我们还评估了使用冷冻诊断性白细胞分离术(DLA)作为分离CTC及后续基因分析(如突变检测分析)的来源。使用胰腺癌患者的冷冻DLA样本,通过自动过滤我们在42%的样本中检测到了CTC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd21/5689673/5d695fa52e75/oncotarget-08-86143-g001.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