Single Circulating Vesicle Analysis for Early Cancer Detection

用于早期癌症检测的单循环囊泡分析

基本信息

批准号：
9913496
负责人：
RALPH WEISSLEDER, MD, PHD
金额：
$ 21.92万
依托单位：
MASSACHUSETTS GENERAL HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-12 至 2022-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9913496
关键词：
Address Age Bar Codes Biological Markers Biology Cells Clinical Clinical Trials DNA Detection Disease EPHA2 gene Early Diagnosis Emerging Technologies Epidermal Growth Factor Receptor Evaluation Funding Glass Goals Gold Heterogeneity Individual Infrastructure Kinetics Lesion Light MSLN gene MUC5AC gene Malignant - descriptor Malignant Neoplasms Malignant neoplasm of pancreas Measurement Measures Methods Microfluidic Microchips Mucin 1 protein Mutate Operative Surgical Procedures Patients Periodicity Pharmaceutical Preparations Proteins Recurrent disease Reproducibility Resectable Residual Tumors Resolution Sampling Screening for cancer Signal Transduction Slide Source Specimen Techniques Technology Testing Time Vesicle Yang anticancer research base cancer biomarkers cancer type clinical practice cost effective experimental study extracellular vesicles improved innovation insight interest novel novel therapeutics pancreatic cancer patients patient response point of care prospective protein biomarkers protein profiling response thrombospondin 2 tumor tumor heterogeneity

项目摘要

Analysis of circulating extracellular vesicles (EV) have advanced over the last several years but challenges remain to reproducibly analyze samples in a clinical setting. If more sensitive and reproducible methods could be established, they would have far reaching applications in early cancer detection, measuring patient response to drugs, understanding tumor heterogeneity and discriminating different diseases. The problem is potentiated in pancreatic cancer (PDAC), where early detection methods are lacking, reproducibility of measurements has been a problem and an understanding of vesicle heterogeneity is missing. Furthermore, most existing technologies rely on bulk measurements which are inherently less sensitive since markers of interest are diluted (Yang et al., 2017, Sci Transl Med, 9). The goal of this proposal is to explore a novel single EV analysis (SEA) method (Lee et al, 2018, ACSnano, in press) to shed light on tumor EV (TEV) biomarker composition in PDAC. Specifically, we propose to i) integrate the method with on-chip microfluidics for improved sample handling while adding a MAb-DNA barcoding step for signal amplification and multiplexing (aim 1) and ii) expand and test the approach for point-of-care analyses of TEV in clinical samples (aim 2). The proposed single vesicle method has the potential to transform PDAC cancer research and clinical practice. It will allow us to discover the make-up of TEV in clinical specimen with far reaching applications for early detection (analysis of rare proteins) and treatment t evaluation in different types of cancers.

循环细胞外囊泡 (EV) 的分析在过去几年中取得了进展，但仍面临挑战仍然在临床环境中可重复地分析样品。如果更灵敏和可重复的方法可以一旦建立，它们将在早期癌症检测、测量患者对药物的反应，了解肿瘤异质性并区分不同的疾病。问题是在缺乏早期检测方法的胰腺癌（PDAC）中增强，测量一直是一个问题，并且缺乏对囊泡异质性的理解。此外，大多数现有技术依赖于批量测量，这本质上不太敏感，因为利益被稀释（Yang et al., 2017, Sci Transl Med, 9）。该提案的目标是探索一种新颖的单曲 EV 分析 (SEA) 方法（Lee 等人，2018，ACSnano，正在印刷中）揭示肿瘤 EV (TEV) 生物标志物 PDAC 中的组成。具体来说，我们建议 i）将该方法与片上微流体集成以改进样品处理，同时添加用于信号放大和复用的 MAb-DNA 条形码步骤（目标 1）和 ii）扩展并测试临床样本中 TEV 的即时分析方法（目标 2）。拟议的单一囊泡方法有可能改变 PDAC 癌症研究和临床实践。它将让我们发现临床样本中 TEV 的组成对于早期检测具有深远的应用（稀有蛋白质分析）以及不同类型癌症的治疗评估。