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  • Title: Label-free characterization of exosome via surface enhanced Raman spectroscopy for the early detection of pancreatic cancer.
    Author: Carmicheal J, Hayashi C, Huang X, Liu L, Lu Y, Krasnoslobodtsev A, Lushnikov A, Kshirsagar PG, Patel A, Jain M, Lyubchenko YL, Lu Y, Batra SK, Kaur S.
    Journal: Nanomedicine; 2019 Feb; 16():88-96. PubMed ID: 30550805.
    Abstract:
    Pancreatic cancer is a highly lethal malignancy. Lack of early diagnostic markers makes timely detection of pancreatic cancer a highly challenging endeavor. Exosomes have emerged as information-rich cancer specific biomarkers. However, characterization of tumor-specific exosomes has been challenging. This study investigated the proof of principle that exosomes could be used for the detection of pancreatic cancer. Label-free analysis of exosomes purified from normal and pancreatic cancer cell lines was performed using surface enhanced Raman Spectroscopy (SERS) and principal component differential function analysis (PC-DFA), to identify tumor-specific spectral signatures. This method differentiated exosomes originating from pancreatic cancer or normal pancreatic epithelial cell lines with 90% accuracy. The cell line trained PC-DFA algorithm was next applied to SERS spectra of serum-purified exosomes. This method exhibited up to 87% and 90% predictive accuracy for HC and EPC individual samples, respectively. Overall, our study identified utility of SERS spectral signature for deciphering exosomal surface signature.
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