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Molecular Diagnostics for Melanoma

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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.
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    Chapter 3 Integrating molecular biomarkers into current clinical management in melanoma.
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    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.
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    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.
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    Chapter 22 A prognostic test to predict the risk of metastasis in uveal melanoma based on a 15-gene expression profile.
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    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.
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    Chapter 26 Isolation of melanoma cell subpopulations using negative selection.
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    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.
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    Chapter 31 Immune System Functional Pathway Analysis Using Single Cell Network Profiling (SCNP): A Novel Tool in Cancer Immunotherapy.
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    Chapter 32 Quantitative and Spatial Image Analysis of Tumor and Draining Lymph Nodes Using Immunohistochemistry and High-Resolution Multispectral Imaging to Predict Metastasis
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    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
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    Chapter 37 Tissue resources for clinical use and marker studies in melanoma.
Attention for Chapter 10: Detecting Mechanisms of Acquired BRAF Inhibitor Resistance in Melanoma.
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Chapter title
Detecting Mechanisms of Acquired BRAF Inhibitor Resistance in Melanoma.
Chapter number 10
Book title
Molecular Diagnostics for Melanoma
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-727-3_10
Pubmed ID
Book ISBNs
978-1-62703-726-6, 978-1-62703-727-3
Authors

Roger S Lo, Hubing Shi, Roger S. Lo, Lo, Roger S., Shi, Hubing

Abstract

(V600)BRAF mutation was identified as an ideal target for clinical therapy due to its indispensable roles in supporting melanoma initiation and progression. Despite the fact that BRAF inhibitors (BRAFi) can elicit anti-tumor responses in the majority of treated patients and confer overall survival benefits, acquired drug resistance is a formidable obstacle to long-term management of the disease. Several aberrant events including RTK upregulation, NRAS mutation, mutant BRAF amplification or alternative splicing, and MEK mutation have been reported as acquired BRAFi resistance mechanisms. Clinially, detection of these resistance mechanisms help understand drug response patterns and help guide combinatorial therapeutic strategies. Therefore, quick and accurate diagnosis of the resistant mechanisms in tumor biopsies has become an important starting point for personalized therapy. In this chapter, we review the major acquired BRAFi resistance mechanisms, highlight their therapeutic implications, and provide the diagnostic methods from clinical samples.

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Ph. D. Student 2 18%
Professor 1 9%
Student > Master 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Agricultural and Biological Sciences 2 18%
Medicine and Dentistry 2 18%
Social Sciences 1 9%
Unknown 4 36%
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 27 November 2013.
All research outputs
#20,211,690
of 22,733,113 outputs
Outputs from Methods in molecular biology
#9,850
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Outputs of similar age
#264,727
of 305,170 outputs
Outputs of similar age from Methods in molecular biology
#402
of 594 outputs
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