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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.
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    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.
  21. Altmetric Badge
    Chapter 20 Melanoma susceptibility genes and risk assessment.
  22. Altmetric Badge
    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.
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    Chapter 24 ERBB4 Mutation Analysis: Emerging Molecular Target for Melanoma Treatment.
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    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.
  29. Altmetric Badge
    Chapter 28 Detection of Chondroitin Sulfate Proteoglycan 4 (CSPG4) in Melanoma.
  30. Altmetric Badge
    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 15: Lymphatic Invasion as a Prognostic Biomarker in Primary Cutaneous Melanoma
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Chapter title
Lymphatic Invasion as a Prognostic Biomarker in Primary Cutaneous Melanoma
Chapter number 15
Book title
Molecular Diagnostics for Melanoma
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-727-3_15
Pubmed ID
Book ISBNs
978-1-62703-726-6, 978-1-62703-727-3
Authors

Xiaowei Xu, Phyllis A Gimotty, Dupont Guerry, Giorgos Karakousis, David E Elder, Phyllis A. Gimotty, DuPont Guerry, David E. Elder, Xu X, Gimotty PA, Guerry D, Karakousis G, Elder DE, Xu, Xiaowei, Gimotty, Phyllis A., Guerry, DuPont, Karakousis, Giorgos, Elder, David E.

Abstract

Melanoma has a propensity for lymph node metastasis. However, the incidence of lymphatic invasion detected by histology alone in primary melanoma is disproportionately low in comparison to the incidence of positive sentinel lymph nodes (SLN). With the discovery of lymphatic endothelial cell markers, such as podoplanin and LYVE-1, lymphatic vessels can be reliably detected in formalin-fixed paraffin-embedded (FFPE) tissues. There is a now consensus that lymphatic invasion detected by immunohistochemical stains in primary melanoma is much more common than previously reported by histological examination alone. Immunohistochemical stains show that lymphangiogenesis and lymphatic invasion in primary melanoma may occur intratumorally or peritumorally, and lymphatic invasion is common across the range of tumor thicknesses in primary vertical growth phase (VGP) melanomas. A number of studies have shown that lymphatic invasion in primary melanoma is associated with a positive sentinel lymph node biopsy and a worse clinical outcome. Although not currently a part of the standard of care for staging of melanoma, the detection of lymphatic invasion in primary melanoma using immunohistochemical markers may be helpful in planning of therapy in some cases and may find a routine role in primary melanoma microscopic attributes in future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Bachelor 4 15%
Student > Doctoral Student 3 12%
Other 3 12%
Professor > Associate Professor 3 12%
Other 6 23%
Unknown 2 8%
Readers by discipline Count As %
Medicine and Dentistry 16 62%
Agricultural and Biological Sciences 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Nursing and Health Professions 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 3 12%
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 30 June 2014.
All research outputs
#17,704,678
of 22,733,113 outputs
Outputs from Methods in molecular biology
#7,171
of 13,085 outputs
Outputs of similar age
#220,748
of 305,170 outputs
Outputs of similar age from Methods in molecular biology
#261
of 594 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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