β-Sheet Richness of the Circulating Tumor-Derived Extracellular Vesicles for Noninvasive Pancreatic Cancer Screening

被引:19
|
作者
Rasuleva, Komila [1 ]
Elamurugan, Santhalingam [2 ]
Bauer, Aaron [2 ]
Khan, Mdrakibhasan [1 ]
Wen, Qian [3 ]
Li, Zhaofan [4 ]
Steen, Preston [5 ]
Guo, Ang [6 ]
Xia, Wenjie [4 ]
Mathew, Sijo [6 ]
Jansen, Rick [7 ,8 ]
Sun, Dali [1 ,2 ]
机构
[1] North Dakota State Univ, Dept Elect & Comp Engn, Fargo, ND 58102 USA
[2] North Dakota State Univ, Engn Adm, Biomed Engn Program, 1401 Centennial Blvd,Room 203, Fargo, ND 58102 USA
[3] North Dakota State Univ, Dept Stat, 1230 Albrecht Blvd, Fargo, ND 58102 USA
[4] North Dakota State Univ, Dept Civil Construct & Environm Engn, Fargo, ND 58102 USA
[5] Sanford Roger Maris Canc Ctr, Fargo, ND 58122 USA
[6] North Dakota State Univ, Dept Pharmaceut Sci, 1401 Albrecht Blvd, Fargo, ND 58102 USA
[7] North Dakota State Univ, Dept Publ Hlth, 1455 14th Ave N, Fargo, ND 58102 USA
[8] North Dakota State Univ, Genom & Bioinformat Program, 1230 161-2 St North, Fargo, ND 58102 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
extracellular vesicles; protein structure; beta-sheet; collective attribute; PDAC; DARK-FIELD MICROSCOPE; EXOSOME; CA-19-9; SERUM; ADENOCARCINOMA; SPECTROSCOPY; SCATTERING; MECHANISM; DIAGNOSIS; UTILITY;
D O I
10.1021/acssensors.1c02022
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Tumor-derived extracellular vesicles (EVs) are under intensive study for their potential as noninvasive diagnosis biomarkers. Most EV-based cancer diagnostic assays trace supernumerary of a single cancer-associated marker or marker signatures. These types of biomarker assays are either subtype-specific or vulnerable to be masked by high background signals. In this study, we introduce using the beta-sheet richness (BR) of the tumor-derived EVs as an effective way to discriminate EVs originating from malignant and nonmalignant cells, where EV contents are evaluated as a collective attribute rather than single factors. Circular dichroism, Fourier transform infrared spectroscopy, fluorescence staining assays, and a de novo workflow combining proteomics, bioinformatics, and protein folding simulations were employed to validate the collective attribute at both cellular and EV levels. Based on the BR of the tumorous EVs, we integrated immunoprecipitation and fluorescence labeling targeting the circulating tumor-derived EVs in serum and developed the process into a clinical assay, named EvIPThT. The assay can distinguish patients with and without malignant disease in a pilot cohort, with weak correlations to prognosis biomarkers, suggesting the potential for a cancer screening panel with existing prognostic biomarkers to improve overall performance.
引用
收藏
页码:4489 / 4498
页数:10
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