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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
  3. Altmetric Badge
    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
  17. Altmetric Badge
    Chapter 16 Significance of EGFR Expression in Circulating Tumor Cells
Attention for Chapter 10: Enrichment, Isolation and Molecular Characterization of EpCAM-Negative Circulating Tumor Cells
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Chapter title
Enrichment, Isolation and Molecular Characterization of EpCAM-Negative Circulating Tumor Cells
Chapter number 10
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_10
Pubmed ID
Book ISBNs
978-3-31-955946-9, 978-3-31-955947-6
Authors

Rita Lampignano, Helen Schneck, Martin Neumann, Tanja Fehm, Hans Neubauer, Lampignano, Rita, Schneck, Helen, Neumann, Martin, Fehm, Tanja, Neubauer, Hans

Abstract

The presence of EpCAM-positive circulating tumor cells (CTCs) in the peripheral blood is associated with poor clinical outcomes in breast, colorectal and prostate cancer, as well as the prognosis of other tumor types. In addition, recent studies have suggested that the presence of CTCs undergoing epithelial-to-mesenchymal transition and, as such, may exhibit reduced or no expression of epithelial proteins e.g. EpCAM, might be related to disease progression in metastatic breast cancer (MBC) patients. Analyzing the neoplastic nature of this EpCAM-low/negative (EpCAM-neg) subpopulation remains an open issue as the current standard detection methods for CTCs are not efficient at identifying this subpopulation of cells. The possible association of EpCAM-neg CTCs with EpCAM-positive (EpCAM-pos) CTCs and role in the clinicopathological features and prognosis of MBC patients has still to be demonstrated. Several technologies have been developed and are currently being tested for the identification and the downstream analyses of EpCAM-pos CTCs. These technologies can be adapted and implemented into workflows to isolate and investigate EpCAM-neg cells to understand their biology and clinical relevance. This chapter will endeavour to explain the rationale behind the identification and analyses of all CTC subgroups, as well as to review the current strategies employed to enrich, isolate and characterize EpCAM-negative CTCs. Finally, the latest findings in the field will briefly be discussed with regard to their clinical relevance.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Professor 3 13%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Unspecified 1 4%
Other 3 13%
Unknown 7 29%
Readers by discipline Count As %
Medicine and Dentistry 7 29%
Biochemistry, Genetics and Molecular Biology 4 17%
Nursing and Health Professions 1 4%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 13%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 October 2017.
All research outputs
#18,574,814
of 23,006,268 outputs
Outputs from Advances in experimental medicine and biology
#3,324
of 4,961 outputs
Outputs of similar age
#311,426
of 421,241 outputs
Outputs of similar age from Advances in experimental medicine and biology
#333
of 490 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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