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Label-free characterization of exosome via surface enhanced Raman spectroscopy for the early detection of pancreatic cancer.
Carmicheal, Joseph; Hayashi, Chihiro; Huang, Xi; Liu, Lei; Lu, Yao; Krasnoslobodtsev, Alexey; Lushnikov, Alexander; Kshirsagar, Prakash G; Patel, Asish; Jain, Maneesh; Lyubchenko, Yuri L; Lu, Yongfeng; Batra, Surinder K; Kaur, Sukhwinder.
Afiliação
  • Carmicheal J; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA.
  • Hayashi C; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA.
  • Huang X; Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Liu L; Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Lu Y; Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Krasnoslobodtsev A; Department of Physics University of Nebraska at Omaha 6001 Dodge Street, Omaha, NE, USA; Nanoimaging Core Facility, College of Pharmacy, University of Nebraska Medical Center, Omaha, NE, USA.
  • Lushnikov A; Nanoimaging Core Facility, College of Pharmacy, University of Nebraska Medical Center, Omaha, NE, USA.
  • Kshirsagar PG; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA.
  • Patel A; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA.
  • Jain M; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA.
  • Lyubchenko YL; Nanoimaging Core Facility, College of Pharmacy, University of Nebraska Medical Center, Omaha, NE, USA.
  • Lu Y; Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA. Electronic address: ylu2@unl.edu.
  • Batra SK; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA. Electronic address: sbatra@unmc.edu.
  • Kaur S; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, USA. Electronic address: skaur@unmc.edu.
Nanomedicine ; 16: 88-96, 2019 02.
Article em En | MEDLINE | ID: mdl-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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Análise Espectral Raman / Exossomos / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Análise Espectral Raman / Exossomos / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article