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Cancer Cytogenetics

Overview of attention for book
Cover of 'Cancer Cytogenetics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cancer Cytogenetics: An Introduction.
  3. Altmetric Badge
    Chapter 2 Chromosome Preparation for Myeloid Malignancies.
  4. Altmetric Badge
    Chapter 3 Chromosome Preparation for Acute Lymphoblastic Leukemia.
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    Chapter 4 Chromosome Preparation for Chronic Lymphoid Malignancies.
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    Chapter 5 Cytogenetic Harvesting of Cancer Cells and Cell Lines.
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    Chapter 6 Chromosome Bandings.
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    Chapter 7 Chromosome Recognition.
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    Chapter 8 Applications of Fluorescence In Situ Hybridization Technology in Malignancies.
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    Chapter 9 Fluorescence In Situ Hybridization Probe Preparation.
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    Chapter 10 Fluorescence In Situ Hybridization Probe Validation for Clinical Use.
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    Chapter 11 Fluorescence In Situ Hybridization on Tissue Sections.
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    Chapter 12 Cytoplasmic Immunoglobulin Light Chain Revelation and Interphase Fluorescence In Situ Hybridization in Myeloma.
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    Chapter 13 Quantitative Fluorescence In Situ Hybridization (QFISH).
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    Chapter 14 High Resolution Fiber-Fluorescence In Situ Hybridization.
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    Chapter 15 Array-Based Comparative Genomic Hybridization (aCGH).
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    Chapter 16 Multicolor Karyotyping and Fluorescence In Situ Hybridization-Banding (MCB/mBAND).
  18. Altmetric Badge
    Chapter 17 Cytogenetics for Biological Dosimetry.
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    Chapter 18 Recurrent Cytogenetic Abnormalities in Myelodysplastic Syndromes.
  20. Altmetric Badge
    Chapter 19 Recurrent Cytogenetic Abnormalities in Acute Myeloid Leukemia.
  21. Altmetric Badge
    Chapter 20 Recurrent Cytogenetic Abnormalities in Myeloproliferative Neoplasms and Chronic Myeloid Leukemia.
  22. Altmetric Badge
    Chapter 21 Recurrent Cytogenetic Abnormalities in Acute Lymphoblastic Leukemia.
  23. Altmetric Badge
    Chapter 22 Recurrent Cytogenetic Abnormalities in Non-Hodgkin's Lymphoma and Chronic Lymphocytic Leukemia.
  24. Altmetric Badge
    Chapter 23 Recurrent Cytogenetic Abnormalities in Multiple Myeloma.
  25. Altmetric Badge
    Chapter 24 Cytogenetic Nomenclature and Reporting.
  26. Altmetric Badge
    Chapter 25 Cytogenetic Resources and Information.
Attention for Chapter 22: Recurrent Cytogenetic Abnormalities in Non-Hodgkin's Lymphoma and Chronic Lymphocytic Leukemia.
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Chapter title
Recurrent Cytogenetic Abnormalities in Non-Hodgkin's Lymphoma and Chronic Lymphocytic Leukemia.
Chapter number 22
Book title
Cancer Cytogenetics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6703-2_22
Pubmed ID
Book ISBNs
978-1-4939-6701-8, 978-1-4939-6703-2
Authors

Edmond S. K. Ma

Editors

Thomas S.K. Wan

Abstract

Characteristic chromosomal translocations are found to be associated with subtypes of B-cell non-Hodgkin lymphoma (NHL), for example t(8;14)(q24;q32) and Burkitt lymphoma, t(14;18)(q32;q21) and follicular lymphoma, and t(11;14)(q13;q32) in mantle cell lymphoma. Only few recurrent cytogenetic aberrations have been identified in the T-cell NHL and the best known is the ALK gene translocation t(2;5)(p23;q35) in anaplastic large cell lymphoma. Since lymph node or other tissue is seldom submitted for conventional cytogenetics study, alternative approaches for translocation detection are polymerase chain reaction (PCR) or fluorescence in situ hybridization (FISH). FISH is more sensitive than PCR in the detection of lymphoma translocations since directly labeled large FISH probes that span the translocation breakpoints are used. Although the recurrent chromosomal abnormalities in NHL are not completely sensitive and specific for disease entities, unlike the scenario in acute leukemia, cytogenetic and molecular genetic study is commonly used to aid lymphoma diagnosis and classification. Currently, the main clinical utility is in the employment of interphase FISH panels to predict disease aggressiveness to guide therapy, for example identification of double-hit lymphoma, or in prognostication, for example risk-stratification in chronic lymphocytic leukemia. The recent application of high-throughput sequencing to NHL not only advances the understanding of disease pathogenesis and classification, but allows the discovery of new drug targets, such as BRAF gene inhibition in hairy cell leukemia. Coupled with the increasing availability of novel molecular targeted therapeutic agents, the hope for the future is to translate the genetics and genomics information to achieve personalized medicine in NHL.

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The data shown below were collected from the profiles of 2 X users 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 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 > Master 4 14%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Student > Postgraduate 2 7%
Student > Ph. D. Student 2 7%
Other 4 14%
Unknown 13 45%
Readers by discipline Count As %
Medicine and Dentistry 7 24%
Biochemistry, Genetics and Molecular Biology 4 14%
Immunology and Microbiology 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 14 48%
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 17 January 2018.
All research outputs
#15,404,272
of 22,914,829 outputs
Outputs from Methods in molecular biology
#5,360
of 13,131 outputs
Outputs of similar age
#256,369
of 420,479 outputs
Outputs of similar age from Methods in molecular biology
#466
of 1,074 outputs
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So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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