↓ Skip to main content
What is this page? Embed badge

Isolation and Molecular Characterization of Circulating Tumor Cells

Overview of attention for book
Cover of 'Isolation and Molecular Characterization of Circulating Tumor Cells'

Table of Contents

  1. Altmetric Badge
    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
  4. Altmetric Badge
    Chapter 3 Aptamer-Based Methods for Detection of Circulating Tumor Cells and Their Potential for Personalized Diagnostics
  5. Altmetric Badge
    Chapter 4 Development of a Protocol for Single-Cell Analysis of Circulating Tumor Cells in Patients with Solid Tumors
  6. Altmetric Badge
    Chapter 5 Flow Cytometric Methods for Circulating Tumor Cell Isolation and Molecular Analysis
  7. Altmetric Badge
    Chapter 6 Enrichment and Detection of Circulating Tumor Cells and Other Rare Cell Populations by Microfluidic Filtration
  8. Altmetric Badge
    Chapter 7 Detection and Enumeration of Circulating Tumor Cells with Invasive Phenotype
  9. Altmetric Badge
    Chapter 8 Molecular Profiling and Significance of Circulating Tumor Cell Based Genetic Signatures
  10. Altmetric Badge
    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
  11. Altmetric Badge
    Chapter 10 Enrichment, Isolation and Molecular Characterization of EpCAM-Negative Circulating Tumor Cells
  12. Altmetric Badge
    Chapter 11 Expression of Epithelial Mesenchymal Transition and Cancer Stem Cell Markers in Circulating Tumor Cells
  13. Altmetric Badge
    Chapter 12 Mesenchymal-Epithelial Transition and Circulating Tumor Cells in Small Cell Lung Cancer
  14. Altmetric Badge
    Chapter 13 Clinical Relevance of a Candidate Stem Cell Marker, p75 Neurotrophin Receptor (p75NTR) Expression in Circulating Tumor Cells
  15. Altmetric Badge
    Chapter 14 Personalized Treatment Through Detection and Monitoring of Genetic Aberrations in Single Circulating Tumor Cells
  16. Altmetric Badge
    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 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
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
15 Mendeley
Summary X
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
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
Chapter number 9
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_9
Pubmed ID
28560674
Book ISBNs
978-3-31-955946-9, 978-3-31-955947-6
Authors

Cyril Catelain, Emma Pailler, Marianne Oulhen, Vincent Faugeroux, Anne-Laure Pommier, Françoise Farace, Catelain, Cyril, Pailler, Emma, Oulhen, Marianne, Faugeroux, Vincent, Pommier, Anne-Laure, Farace, Françoise

Abstract

Circulating tumor cells (CTCs) hold promise as biomarkers to aid in patient treatment stratification and disease monitoring. Because the number of cells is a critical parameter for exploiting CTCs for predictive biomarker's detection, we developed a FISH (fluorescent in situ hybridization) method for CTCs enriched on filters (filter-adapted FISH [FA-FISH]) that was optimized for high cell recovery. To increase the feasibility and reliability of the analyses, we combined fluorescent staining and FA-FISH and developed a semi-automated microscopy method for optimal FISH signal identification in filtration-enriched CTCs . Here we present these methods and their use for the detection and characterization of ALK-, ROS1-, RET-rearrangement in CTCs from non-small-cell lung cancer and ERG-rearrangements in CTCs from prostate cancer patients.

View on publisher site
X Demographics

X Demographics

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 3 20%
Student > Bachelor 2 13%
Student > Doctoral Student 1 7%
Researcher 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Medicine and Dentistry 2 13%
Arts and Humanities 1 7%
Computer Science 1 7%
Agricultural and Biological Sciences 1 7%
Other 2 13%
Unknown 3 20%
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.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.