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基于细胞外囊泡 mRNA 检测乳腺癌分子亚型

Assessing Breast Cancer Molecular Subtypes Using Extracellular Vesicles' mRNA.

机构信息

Department of Cancer Biology, The University of Kansas Medical Center, Cancer Center, Kansas City, Kansas 66160, United States.

Center of BioModular Multi-Scale Systems for Precision Medicine, The University of Kansas, Lawrence, Kansas 66045, United States.

出版信息

Anal Chem. 2023 May 16;95(19):7665-7675. doi: 10.1021/acs.analchem.3c00624. Epub 2023 Apr 18.

Abstract

Extracellular vesicles (EVs) carry RNA cargo that is believed to be associated with the cell-of-origin and thus have the potential to serve as a minimally invasive liquid biopsy marker for supplying molecular information to guide treatment decisions (i.e., precision medicine). We report the affinity isolation of EV subpopulations with monoclonal antibodies attached to the surface of a microfluidic chip that is made from a plastic to allow for high-scale production. The EV microfluidic affinity purification (EV-MAP) chip was used for the isolation of EVs sourced from two-orthogonal cell types and was demonstrated for its utility in a proof-of-concept application to provide molecular subtyping information for breast cancer patients. The orthogonal selection process better recapitulated the epithelial tumor microenvironment by isolating two subpopulations of EVs: EV (epithelial cell adhesion molecule, epithelial origin) and EV (fibroblast activation protein α, mesenchymal origin). The EV-MAP provided recovery >80% with a specificity of 99 ± 1% based on exosomal mRNA (exo-mRNA) and real time-droplet digital polymerase chain reaction results. When selected from the plasma of healthy donors and breast cancer patients, EVs did not differ in size or total RNA mass for both markers. On average, 0.5 mL of plasma from breast cancer patients yielded ∼2.25 ng of total RNA for both EV and EV, while in the case of cancer-free individuals, it yielded 0.8 and 1.25 ng of total RNA from EV and EV, respectively. To assess the potential of these two EV subpopulations to provide molecular information for prognostication, we performed the PAM50 test (Prosigna) on exo-mRNA harvested from each EV subpopulation. Results suggested that EV and EV exo-mRNA profiling using subsets of the PAM50 genes and a novel algorithm (i.e., exo-PAM50) generated 100% concordance with the tumor tissue.

摘要

细胞外囊泡 (EV) 携带 RNA 货物,这些货物被认为与起源细胞有关,因此有可能成为一种微创的液体活检标志物,提供分子信息以指导治疗决策(即精准医学)。我们报告了一种使用附着在微流控芯片表面的单克隆抗体对 EV 亚群进行亲和分离的方法,该芯片由塑料制成,可实现大规模生产。EV 微流控亲和纯化 (EV-MAP) 芯片用于分离源自两种正交细胞类型的 EV,并证明其在概念验证应用中具有实用性,可为乳腺癌患者提供分子亚型信息。正交选择过程通过分离 EV 的两个亚群更好地再现了上皮肿瘤微环境:EV(上皮细胞黏附分子,上皮起源)和 EV(成纤维细胞激活蛋白 α,间充质起源)。基于外泌体 mRNA(exo-mRNA)和实时液滴数字聚合酶链反应结果,EV-MAP 的回收率>80%,特异性为 99±1%。从健康供体和乳腺癌患者的血浆中选择时,两种标志物的 EV 大小或总 RNA 质量均无差异。平均而言,来自乳腺癌患者的 0.5 mL 血浆分别产生约 2.25 ng 的总 RNA,用于 EV 和 EV,而在无癌个体中,分别从 EV 和 EV 产生 0.8 和 1.25 ng 的总 RNA。为了评估这两种 EV 亚群提供分子信息用于预后的潜力,我们对从每个 EV 亚群中提取的 exo-mRNA 进行了 PAM50 测试(Prosigna)。结果表明,使用 PAM50 基因子集和一种新算法(即 exo-PAM50)对 EV 和 EV exo-mRNA 进行分析,与肿瘤组织完全一致。

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本文引用的文献

3
Sorting and packaging of RNA into extracellular vesicles shape intracellular transcript levels.
BMC Biol. 2022 Mar 24;20(1):72. doi: 10.1186/s12915-022-01277-4.
4
Review on Strategies and Technologies for Exosome Isolation and Purification.
Front Bioeng Biotechnol. 2022 Jan 5;9:811971. doi: 10.3389/fbioe.2021.811971. eCollection 2021.
5
The Yin and Yang of exosome isolation methods: conventional practice, microfluidics, and commercial kits.
Biotechnol Adv. 2022 Jan-Feb;54:107814. doi: 10.1016/j.biotechadv.2021.107814. Epub 2021 Aug 11.
6
Detection of tumor-derived extracellular vesicles in plasma from patients with solid cancer.
BMC Cancer. 2021 Mar 24;21(1):315. doi: 10.1186/s12885-021-08007-z.
7
Analysis of extracellular vesicle mRNA derived from plasma using the nCounter platform.
Sci Rep. 2021 Feb 12;11(1):3712. doi: 10.1038/s41598-021-83132-0.
9
EV-origin: Enumerating the tissue-cellular origin of circulating extracellular vesicles using exLR profile.
Comput Struct Biotechnol J. 2020 Oct 14;18:2851-2859. doi: 10.1016/j.csbj.2020.10.002. eCollection 2020.

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