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Molecular Diagnostics for Melanoma

Overview of attention for book
Cover of 'Molecular Diagnostics for Melanoma'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Novel insights/translational implication from the emerging biology of melanoma.
  3. Altmetric Badge
    Chapter 2 Emerging clinical issues in melanoma in the molecularly targeted era.
  4. Altmetric Badge
    Chapter 3 Integrating molecular biomarkers into current clinical management in melanoma.
  5. Altmetric Badge
    Chapter 4 Advances in adjuvant therapy: potential for prognostic and predictive biomarkers.
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    Chapter 5 Immunologic Monitoring of Cancer Vaccine Trials Using the ELISPOT Assay
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    Chapter 6 Markers for Anti-cytotoxic T-lymphocyte Antigen 4 (CTLA-4) Therapy in Melanoma.
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    Chapter 7 Marker utility for combination therapy.
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    Chapter 8 Assaying for BRAF V600E in Tissue and Blood in Melanoma.
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    Chapter 9 Selecting Patients for KIT Inhibition in Melanoma.
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    Chapter 10 Detecting Mechanisms of Acquired BRAF Inhibitor Resistance in Melanoma.
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    Chapter 11 Current status of diagnostic and prognostic markers in melanoma.
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    Chapter 12 Chromosomal copy number analysis in melanoma diagnostics.
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    Chapter 13 Construction and analysis of multiparameter prognostic models for melanoma outcome.
  15. Altmetric Badge
    Chapter 14 Immunohistochemical diagnostic and prognostic markers for melanoma.
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    Chapter 15 Lymphatic Invasion as a Prognostic Biomarker in Primary Cutaneous Melanoma
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    Chapter 16 Tumor-infiltrating lymphocytes and their significance in melanoma prognosis.
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    Chapter 17 Pathological Staging of Melanoma
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    Chapter 18 Genotyping of Human Leukocyte Antigen (HLA) Ancestral Haplotypes as Prognostic Marker in Cancer Using PCR Analysis
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    Chapter 19 B7-h abnormalities in melanoma and clinical relevance.
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    Chapter 20 Melanoma susceptibility genes and risk assessment.
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    Chapter 21 Clinical, pathologic, and imaging features and biological markers of uveal melanoma.
  23. Altmetric Badge
    Chapter 22 A prognostic test to predict the risk of metastasis in uveal melanoma based on a 15-gene expression profile.
  24. Altmetric Badge
    Chapter 23 Molecular karyotyping for detection of prognostic markers in fine needle aspiration biopsy samples of uveal melanoma.
  25. Altmetric Badge
    Chapter 24 ERBB4 Mutation Analysis: Emerging Molecular Target for Melanoma Treatment.
  26. Altmetric Badge
    Chapter 25 Epigenetic markers of prognosis in melanoma.
  27. Altmetric Badge
    Chapter 26 Isolation of melanoma cell subpopulations using negative selection.
  28. Altmetric Badge
    Chapter 27 Circulating tumor cells as prognostic biomarkers in cutaneous melanoma patients.
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    Chapter 28 Detection of Chondroitin Sulfate Proteoglycan 4 (CSPG4) in Melanoma.
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    Chapter 29 Targeting Damage-Associated Molecular Pattern Molecules (DAMPs) and DAMP Receptors in Melanoma
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    Chapter 30 The Clinical Use of PET/CT in the Evaluation of Melanoma.
  32. Altmetric Badge
    Chapter 31 Immune System Functional Pathway Analysis Using Single Cell Network Profiling (SCNP): A Novel Tool in Cancer Immunotherapy.
  33. Altmetric Badge
    Chapter 32 Quantitative and Spatial Image Analysis of Tumor and Draining Lymph Nodes Using Immunohistochemistry and High-Resolution Multispectral Imaging to Predict Metastasis
  34. Altmetric Badge
    Chapter 33 COLD-PCR Enriches Low-Level Variant DNA Sequences and Increases the Sensitivity of Genetic Testing.
  35. Altmetric Badge
    Chapter 34 Isolation of Circulating MicroRNAs from Microvesicles Found in Human Plasma.
  36. Altmetric Badge
    Chapter 35 Detection of circulating tumor cells by photoacoustic flowmetry.
  37. Altmetric Badge
    Chapter 36 Statistical Design and Evaluation of Biomarker Studies
  38. Altmetric Badge
    Chapter 37 Tissue resources for clinical use and marker studies in melanoma.
Attention for Chapter 12: Chromosomal copy number analysis in melanoma diagnostics.
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Chapter title
Chromosomal copy number analysis in melanoma diagnostics.
Chapter number 12
Book title
Molecular Diagnostics for Melanoma
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-727-3_12
Pubmed ID
Book ISBNs
978-1-62703-726-6, 978-1-62703-727-3
Authors

Jeffrey P North, Swapna S Vemula, Boris C Bastian, Jeffrey P. North, Swapna S. Vemula, Boris C. Bastian, North, Jeffrey P., Vemula, Swapna S., Bastian, Boris C.

Abstract

The majority of melanocytic neoplasms can be correctly diagnosed using routine histopathologic analysis. However, a significant minority of tumors have ambiguous histopathologic attributes that overlap between melanocytic nevi and melanoma. Ancillary tests that assist in distinguishing potentially lethal melanomas from benign melanocytic nevi with atypical histopathologic features are available, but still need refining.Most melanomas have chromosomal copy number aberrations, frequently involving multiple chromosomes. With rare exceptions, such anomalies are not found in melanocytic nevi. This difference formed the basis to develop assays that can help distinguish melanoma from nevi by fluorescence in situ hybridization (FISH) and comparative genomic hybridization (CGH). FISH can detect chromosomal copy number changes of a limited number of loci within individual cells. By contrast, CGH assesses copy number across the entire genome, but typically is performed on bulk cell populations so that copy number changes in individual cells or subpopulations of cells can go undetected. Both FISH and CGH have been used to provide genomic information in histopathologically ambiguous melanocytic tumors that can assist pathologists make correct diagnoses.

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X Demographics

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 17%
Student > Ph. D. Student 2 17%
Unspecified 1 8%
Other 1 8%
Researcher 1 8%
Other 1 8%
Unknown 4 33%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Biochemistry, Genetics and Molecular Biology 1 8%
Unspecified 1 8%
Agricultural and Biological Sciences 1 8%
Computer Science 1 8%
Other 0 0%
Unknown 4 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 November 2013.
All research outputs
#15,235,403
of 22,733,113 outputs
Outputs from Methods in molecular biology
#5,263
of 13,085 outputs
Outputs of similar age
#189,192
of 305,170 outputs
Outputs of similar age from Methods in molecular biology
#197
of 594 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,085 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 305,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 594 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.