TY - JOUR
T1 - Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy
AU - Lee, Wooje
AU - Nanou, Afroditi
AU - Rikkert, Linda
AU - Coumans, Frank A.W.
AU - Otto, Cees
AU - Terstappen, Leon W.M.M.
AU - Offerhaus, Herman L.
N1 - ACS deal
PY - 2018/10/2
Y1 - 2018/10/2
N2 - 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.
AB - 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.
KW - UT-Hybrid-D
UR - http://www.scopus.com/inward/record.url?scp=85053177267&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/labelfree-prostate-cancer-detection-characterization-extracellular-vesicles-using-raman-spectroscopy
U2 - 10.1021/acs.analchem.8b01831
DO - 10.1021/acs.analchem.8b01831
M3 - Article
AN - SCOPUS:85053177267
VL - 90
SP - 11290
EP - 11296
JO - Analytical chemistry
JF - Analytical chemistry
SN - 0003-2700
IS - 19
ER -