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Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy.
Lee, Wooje; Nanou, Afroditi; Rikkert, Linda; Coumans, Frank A W; Otto, Cees; Terstappen, Leon W M M; Offerhaus, Herman L.
Affiliation
  • Lee W; Optical Sciences, MESA+ Institute for Nanotechnology , University of Twente , 7500 AE , Enschede , The Netherlands.
  • Nanou A; Department of Medical Cell BioPhysics, MIRA Institute , University of Twente , 7500 AE , Enschede , The Netherlands.
  • Rikkert L; Department of Medical Cell BioPhysics, MIRA Institute , University of Twente , 7500 AE , Enschede , The Netherlands.
  • Coumans FAW; Laboratory of Experimental Clinical Chemistry, Academic Medical Center , University of Amsterdam , 1105 AZ , Amsterdam , The Netherlands.
  • Otto C; Vesicle Observation Centre, Academic Medical Center , University of Amsterdam , 1105 AZ , Amsterdam , The Netherlands.
  • Terstappen LWMM; Vesicle Observation Centre, Academic Medical Center , University of Amsterdam , 1105 AZ , Amsterdam , The Netherlands.
  • Offerhaus HL; Department of Biomedical Engineering and Physics , Academic Medical Centre of the University of Amsterdam , 1105 AZ , Amsterdam , The Netherlands.
Anal Chem ; 90(19): 11290-11296, 2018 10 02.
Article in En | MEDLINE | ID: mdl-30157378
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Spectrum Analysis, Raman / Extracellular Vesicles Type of study: Diagnostic_studies Limits: Humans / Male Language: En Journal: Anal Chem Year: 2018 Document type: Article Affiliation country: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Spectrum Analysis, Raman / Extracellular Vesicles Type of study: Diagnostic_studies Limits: Humans / Male Language: En Journal: Anal Chem Year: 2018 Document type: Article Affiliation country: Países Bajos