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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.
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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.
  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
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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
  38. Altmetric Badge
    Chapter 37 Tissue resources for clinical use and marker studies in melanoma.
Attention for Chapter 31: Immune System Functional Pathway Analysis Using Single Cell Network Profiling (SCNP): A Novel Tool in Cancer Immunotherapy.
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Chapter title
Immune System Functional Pathway Analysis Using Single Cell Network Profiling (SCNP): A Novel Tool in Cancer Immunotherapy.
Chapter number 31
Book title
Molecular Diagnostics for Melanoma
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-727-3_31
Pubmed ID
Book ISBNs
978-1-62703-726-6, 978-1-62703-727-3
Authors

Alessandra Cesano, David Spellmeyer, Cesano, Alessandra, Spellmeyer, David

Abstract

The development of cancer immunotherapies has been ongoing for many years and has shown limited success. Novel biomarkers are needed to identify patients most likely to respond to anticancer immune-therapeutic approaches. Moreover, a systems-level approach is required for comprehensive understanding of the interconnected components, pathways, and cell types associated with an immune response. In this chapter, we describe single cell network profiling (SCNP), a novel method for assessing and measuring immune function/dysfunction at a systems level. SCNP is a multiparametric flow-cytometry-based analysis that can simultaneously measure, at the single cell level, both extracellular surface markers and changes in intracellular signaling proteins in response to extracellular modulators. Measuring changes in signaling proteins following the application of an external modulation informs on the functional capacity of the signaling network which cannot be assessed by the measurement of basal signaling alone. In addition, the simultaneous analysis of multiple pathways in multiple cell subsets can provide insight into the connectivity of both cell signaling networks and immune cell subtypes. The experimental steps associated with an SCNP assay are (1) pre-analytical sample preparation; (2) modulation for functional analysis; (3) staining with antibody cocktail; (4) data acquisition on flow cytometer; and (5) data analysis and metrics. Important considerations for each step of the assay will be discussed, and data demonstrating the utility of SCNP for immune monitoring applications will be summarized.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Professor > Associate Professor 2 22%
Professor 1 11%
Other 1 11%
Student > Ph. D. Student 1 11%
Other 1 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Medicine and Dentistry 3 33%
Computer Science 2 22%
Agricultural and Biological Sciences 1 11%
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 26 June 2014.
All research outputs
#20,210,424
of 22,731,677 outputs
Outputs from Methods in molecular biology
#9,850
of 13,085 outputs
Outputs of similar age
#264,719
of 305,170 outputs
Outputs of similar age from Methods in molecular biology
#402
of 594 outputs
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