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Ovarian Cancer Detection Using Photoacoustic Flow Cytometry.
Lusk, Joel F; Miranda, Christopher; Smith, Barbara S.
Afiliación
  • Lusk JF; School of Biological and Health Systems Engineering, Arizona State University.
  • Miranda C; School of Biological and Health Systems Engineering, Arizona State University.
  • Smith BS; School of Biological and Health Systems Engineering, Arizona State University; barbarasmith@asu.edu.
J Vis Exp ; (155)2020 01 17.
Article en En | MEDLINE | ID: mdl-32009643
ABSTRACT
Many studies suggest that the enumeration of circulating tumor cells (CTCs) may show promise as a prognostic tool for ovarian cancer. Current strategies for the detection of CTCs include flow cytometry, microfluidic devices, and real-time polymerase chain reaction (RT-PCR). Despite recent advances, methods for the detection of early ovarian cancer metastasis still lack the sensitivity and specificity required for clinical translation. Here, a novel method is presented for the detection of ovarian circulating tumor cells by photoacoustic flow cytometry (PAFC) utilizing a custom three dimensional (3D) printed system, including a flow chamber and syringe pump. This method utilizes folic acid-capped copper sulfide nanoparticles (FA-CuS NPs) to target SKOV-3 ovarian cancer cells by PAFC. This work demonstrates the affinity of these contrast agents for ovarian cancer cells. The results show NP characterization, PAFC detection, and NP uptake by fluorescence microscopy, thus demonstrating the potential of this novel system to detect ovarian CTCs at physiologically relevant concentrations.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Técnicas Fotoacústicas / Citometría de Flujo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Vis Exp Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Técnicas Fotoacústicas / Citometría de Flujo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Vis Exp Año: 2020 Tipo del documento: Article