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Circulating Tumor Cells: High-Throughput Imaging of CTCs and Bioinformatic Analysis.
Keomanee-Dizon, Kevin; Shishido, Stephanie N; Kuhn, Peter.
Afiliação
  • Keomanee-Dizon K; Convergent Science Institute in Cancer, Michelson Center for Convergent Bioscience, Dornsife College of Letters, Arts and Sciences, University of Southern California, 1002 W. Childs Way, Los Angeles, 90089-3502, CA, United States.
  • Shishido SN; Viterbi School of Engineering, University of Southern California, 1002 W. Childs Way, Los Angeles, CA, 90089, United States.
  • Kuhn P; Convergent Science Institute in Cancer, Michelson Center for Convergent Bioscience, Dornsife College of Letters, Arts and Sciences, University of Southern California, 1002 W. Childs Way, Los Angeles, 90089-3502, CA, United States.
Recent Results Cancer Res ; 215: 89-104, 2020.
Article em En | MEDLINE | ID: mdl-31605225
ABSTRACT
Circulating tumor cells (CTCs) represent novel biomarkers, since they are obtainable through a simple and noninvasive blood draw or liquid biopsy. Here, we review the high-definition single-cell analysis (HD-SCA) workflow, which brings together modern methods of immunofluorescence with more sophisticated image processing to rapidly and accurately detect rare tumor cells among the milieu of platelets, erythrocytes, and leukocytes in the peripheral blood. In particular, we discuss progress in methods to measure CTC morphology and subcellular protein expression, and we highlight some initial applications that lead to fundamental new insights about the hematogenous phase of cancer, as well as its performance in early-stage diagnosis and treatment monitoring. We end with an outlook on how to further probe CTCs and the unique advantages of the HD-SCA workflow for improving the precision of cancer care.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Células Neoplásicas Circulantes / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Células Neoplásicas Circulantes / Neoplasias Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article