Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy

被引：99

作者：

Lee, Wooje ^{[1
]}

Nanou, Afroditi ^{[2
]}

Rikkert, Linda ^{[2
,3
,4
]}

Coumans, Frank A. W. ^{[4
,5
]}

Otto, Cees ^{[2
]}

Terstappen, Leon W. M. M. ^{[2
]}

Offerhaus, Herman L. ^{[1
]}

机构：

[1] Univ Twente, MESA Inst Nanotechnol, Opt Sci, NL-7500 AE Enschede, Netherlands

[2] Univ Twente, MIRA Inst, Dept Med Cell BioPhys, NL-7500 AE Enschede, Netherlands

[3] Univ Amsterdam, Acad Med Ctr, Lab Expt Clin Chem, NL-1105 AZ Amsterdam, Netherlands

[4] Univ Amsterdam, Acad Med Ctr, Vesicle Observat Ctr, NL-1105 AZ Amsterdam, Netherlands

[5] Univ Amsterdam, Dept Biomed Engn & Phys, Acad Med Ctr, NL-1105 AZ Amsterdam, Netherlands

来源：

ANALYTICAL CHEMISTRY | 2018年 / 90卷 / 19期

关键词：

PRINCIPAL COMPONENT ANALYSIS; LUNG-CANCER; EXOSOMES; IDENTIFICATION; CLASSIFICATION; EFFUSIONS; DIAGNOSIS; TWEEZERS; CELLS;

D O I：

10.1021/acs.analchem.8b01831

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Mammalian cells release extracellular vesicles (EVs) into their microenvironment that travel the entire body along the stream of bodily fluids. EVs contain a wide range of biomolecules. The transported cargo varies depending on the EV origin. Knowledge of the origin and chemical composition of EVs can potentially be used as a biomarker to detect, stage, and monitor diseases. In this paper, we demonstrate the potential of EVs as a prostate cancer biomarker. A Raman optical tweezer was employed to obtain Raman signatures from four types of EV samples, which were red blood cell- and platelet-derived EVs of healthy donors and the prostate cancer cell lines- (PC3 and LNCaP) derived EVs. EVs' Raman spectra could be clearly separated/classified into distinct groups using principal component analysis (PCA) which permits the discrimination of the investigated EV subtypes. These findings may provide new methodology to detect and monitor early stage cancer.

引用

页码：11290 / 11296

页数：7

共 34 条

[1] Principal component analysis [J].