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Isolation and Molecular Characterization of Circulating Tumor Cells

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Cover of 'Isolation and Molecular Characterization of Circulating Tumor Cells'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Circulating Tumor Cells as Cancer Biomarkers in the Clinic
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    Chapter 2 Strategies for Isolation and Molecular Profiling of Circulating Tumor Cells
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    Chapter 3 Aptamer-Based Methods for Detection of Circulating Tumor Cells and Their Potential for Personalized Diagnostics
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    Chapter 4 Development of a Protocol for Single-Cell Analysis of Circulating Tumor Cells in Patients with Solid Tumors
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    Chapter 5 Flow Cytometric Methods for Circulating Tumor Cell Isolation and Molecular Analysis
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    Chapter 6 Enrichment and Detection of Circulating Tumor Cells and Other Rare Cell Populations by Microfluidic Filtration
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    Chapter 7 Detection and Enumeration of Circulating Tumor Cells with Invasive Phenotype
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    Chapter 8 Molecular Profiling and Significance of Circulating Tumor Cell Based Genetic Signatures
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    Chapter 9 Detection of Gene Rearrangements in Circulating Tumor Cells: Examples of ALK-, ROS1-, RET-Rearrangements in Non-Small-Cell Lung Cancer and ERG-Rearrangements in Prostate Cancer
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    Chapter 10 Enrichment, Isolation and Molecular Characterization of EpCAM-Negative Circulating Tumor Cells
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    Chapter 11 Expression of Epithelial Mesenchymal Transition and Cancer Stem Cell Markers in Circulating Tumor Cells
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    Chapter 12 Mesenchymal-Epithelial Transition and Circulating Tumor Cells in Small Cell Lung Cancer
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    Chapter 13 Clinical Relevance of a Candidate Stem Cell Marker, p75 Neurotrophin Receptor (p75NTR) Expression in Circulating Tumor Cells
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    Chapter 14 Personalized Treatment Through Detection and Monitoring of Genetic Aberrations in Single Circulating Tumor Cells
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    Chapter 15 Glycan Markers as Potential Immunological Targets in Circulating Tumor Cells
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    Chapter 16 Significance of EGFR Expression in Circulating Tumor Cells
Attention for Chapter 3: Aptamer-Based Methods for Detection of Circulating Tumor Cells and Their Potential for Personalized Diagnostics
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Chapter title
Aptamer-Based Methods for Detection of Circulating Tumor Cells and Their Potential for Personalized Diagnostics
Chapter number 3
Book title
Isolation and Molecular Characterization of Circulating Tumor Cells
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-55947-6_3
Pubmed ID
Book ISBNs
978-3-31-955946-9, 978-3-31-955947-6
Authors

Anna S. Zamay, Galina S. Zamay, Olga S. Kolovskaya, Tatiana N. Zamay, Maxim V. Berezovski, Zamay, Anna S., Zamay, Galina S., Kolovskaya, Olga S., Zamay, Tatiana N., Berezovski, Maxim V.

Abstract

Cancer diagnostics and treatment monitoring rely on sensing and counting of rare cells such as cancer circulating tumor cells (CTCs) in blood. Many analytical techniques have been developed to reliably detect and quantify CTCs using unique physical shape and size of tumor cells and/or distinctive patterns of cell surface biomarkers. Main problems of CTC bioanalysis are in the small number of cells that are present in the circulation and heterogeneity of CTCs. In this chapter, we describe recent progress towards the selection and application of synthetic DNA or RNA aptamers to capture and detect CTCs in blood. Antibody-based approaches for cell isolation and purification are limited because of an antibody's negative effect on cell viability and purity. Aptamers transform cell isolation technology, because they bind and release cells on-demand. The unique feature of anti-CTC aptamers is that the aptamers are selected for cell surface biomarkers in their native state, and conformation without previous knowledge of their biomarkers. Once aptamers are produced, they can be used to identify CTC biomarkers using mass spectrometry. The biomarkers and corresponding aptamers can be exploited to improve cancer diagnostics and therapies .

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Master 5 17%
Researcher 3 10%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 4 14%
Unknown 9 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 24%
Agricultural and Biological Sciences 2 7%
Engineering 2 7%
Linguistics 1 3%
Unspecified 1 3%
Other 4 14%
Unknown 12 41%