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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.
  6. Altmetric Badge
    Chapter 5 Immunologic Monitoring of Cancer Vaccine Trials Using the ELISPOT Assay
  7. Altmetric Badge
    Chapter 6 Markers for Anti-cytotoxic T-lymphocyte Antigen 4 (CTLA-4) Therapy in Melanoma.
  8. Altmetric Badge
    Chapter 7 Marker utility for combination therapy.
  9. Altmetric Badge
    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.
  13. Altmetric Badge
    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.
  16. Altmetric Badge
    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.
  18. Altmetric Badge
    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
  20. Altmetric Badge
    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.
  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.
  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
  31. Altmetric Badge
    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 20: Melanoma susceptibility genes and risk assessment.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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2 Wikipedia pages

Citations

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13 Dimensions

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Chapter title
Melanoma susceptibility genes and risk assessment.
Chapter number 20
Book title
Molecular Diagnostics for Melanoma
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-727-3_20
Pubmed ID
Book ISBNs
978-1-62703-726-6, 978-1-62703-727-3
Authors

Alexander Marzuka-Alcalá, Michele Jacobs Gabree, Hensin Tsao, Marzuka-Alcalá A, Gabree MJ, Tsao H, Marzuka-Alcalá, Alexander, Gabree, Michele Jacobs, Tsao, Hensin

Abstract

Familial melanoma accounts for approximately a tenth of all melanoma cases. The most commonly known melanoma susceptibility gene is the highly penetrant CDKN2A (p16INK4a) locus, which is transmitted in an autosomal dominant fashion and accounts for approximately 20-50 % of familial melanoma cases. Mutated p16INK4a shows impaired capacity to inhibit the cyclin D1-CDK4 complex, allowing for unchecked cell cycle progression. Mutations in the second protein coded by CDKN2A, p14ARF, are much less common and result in proteasomal degradation of p53 with subsequent accumulation of DNA damage as the cell progresses through the cell cycle without a functional p53-mediated DNA damage response. Mutations in CDK4 that impair the inhibitory interaction with p16INK4a also increase melanoma risk but these mutations are extremely rare. Genes of the melanin biosynthetic pathway, including MC1R and MITF, have also been implicated in melanomagenesis. MC1R variants were traditionally thought to increase risk for melanoma secondary to intensified UV-mediated DNA damage in the setting of absent photoprotective eumelanin. Accumulation of pheomelanin, which appears to have a carcinogenic effect regardless of UV exposure, may be a more likely mechanism. Impaired SUMOylation of the E318K variant of MITF results in increased transcription of genes that confer melanocytes with a pro-malignant phenotype. Mutations in the tumor suppressor BAP1 enhance the metastatic potential of uveal melanoma and predispose to cutaneous/ocular melanoma, atypical melanocytic tumors, and other internal malignancies (COMMON syndrome). Genome-wide association studies have identified numerous low-risk alleles. Although several melanoma susceptibility genes have been identified, risk assessment tools have been developed only for the most common gene implicated with hereditary melanoma, CDKN2A. MelaPRO, a validated model that relies on Mendelian inheritance and Bayesian probability theories, estimates carrier probability for CDKN2A and future risk of melanoma taking into account a patient's family and past medical history of melanoma. Genetic testing for CDKN2A mutations is currently available but the Melanoma Genetics Consortium recommends offering such testing to patients only in the context of research protocols because clinical utility is uncertain.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 15%
Student > Ph. D. Student 8 12%
Researcher 8 12%
Student > Doctoral Student 7 11%
Student > Master 7 11%
Other 11 17%
Unknown 15 23%
Readers by discipline Count As %
Medicine and Dentistry 23 35%
Biochemistry, Genetics and Molecular Biology 10 15%
Agricultural and Biological Sciences 9 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 6%
Unknown 18 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 28 September 2023.
All research outputs
#2,407,671
of 22,733,113 outputs
Outputs from Methods in molecular biology
#438
of 13,085 outputs
Outputs of similar age
#29,750
of 305,170 outputs
Outputs of similar age from Methods in molecular biology
#25
of 594 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,085 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 96% 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 has done particularly well, scoring higher than 90% of its contemporaries.
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 done particularly well, scoring higher than 95% of its contemporaries.