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

Analytical Chemistry
Wooje LeeHerman L Offerhaus

Abstract

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.

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Citations

Jan 9, 2019·Nanoscale·Sergei G KruglikJuan M Falcón-Pérez
Oct 1, 2020·Chemical Society Reviews·Nicole M Ralbovsky, Igor K Lednev
Feb 6, 2020·Biomedical Optics Express·Iris Aguilar-HernándezNancy Ornelas-Soto
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Nov 10, 2020·Computational and Structural Biotechnology Journal·Ya-Juan LiuXi-Yong Yu
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Jul 1, 2020·Nanomedicine : Nanotechnology, Biology, and Medicine·Carlo F MorassoCristina Cereda
Jun 10, 2021·Journal of Tissue Engineering·Owen G DaviesPola Goldberg Oppenheimer
Jun 18, 2021·Nature Protocols·Guillermo Bordanaba-FloritJuan M Falcón-Pérez
Aug 7, 2021·Nanoscale Advances·Meruyert ImanbekovaSebastian Wachsmann-Hogiu
Sep 11, 2021·Scientific Reports·Czesława PaluszkiewiczWojciech M Kwiatek

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Methods Mentioned

BETA
PCA
transmission electron microscopy

Software Mentioned

Imaging Solutions
MATLAB
Bioinformatics Toolbox
NTA

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