Chapter title |
Current status of diagnostic and prognostic markers in melanoma.
|
---|---|
Chapter number | 11 |
Book title |
Molecular Diagnostics for Melanoma
|
Published in |
Methods in molecular biology, January 2014
|
DOI | 10.1007/978-1-62703-727-3_11 |
Pubmed ID | |
Book ISBNs |
978-1-62703-726-6, 978-1-62703-727-3
|
Authors |
Danielle Levine, David E Fisher, David E. Fisher, Levine, Danielle, Fisher, David E. |
Abstract |
Melanoma is the most life-threatening common form of skin cancer. While most cutaneous melanomas are cured by surgical resection, a minority will relapse locally, regionally, or distantly. Biomarkers have represented a focal point for research aimed at improving diagnostic accuracy as well as providing prognostic information that may help to guide therapeutic decisions. While systemic melanoma therapies were of extremely limited utility for patients with advanced disease in the past, two drugs have been approved the FDA within the past several years, and it is possible that they may provide even greater impact if employed earlier in the disease process. To optimally employ these therapies, prognostic biomarkers may offer significant value. This article reviews methodologies for both discovery and routine testing of melanoma biomarkers. It also focuses on specific commonly used markers, as well as approaches to studying their applications to specific clinical settings. As the armamentarium of melanoma drugs grows, it is hoped that specific biomarkers will aid in guiding the use of these agents for patients in the clinic. |
X Demographics
Geographical breakdown
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 1 | 4% |
Unknown | 25 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 5 | 19% |
Student > Master | 4 | 15% |
Student > Doctoral Student | 2 | 8% |
Researcher | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Other | 5 | 19% |
Unknown | 6 | 23% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 42% |
Agricultural and Biological Sciences | 4 | 15% |
Biochemistry, Genetics and Molecular Biology | 3 | 12% |
Immunology and Microbiology | 1 | 4% |
Chemistry | 1 | 4% |
Other | 0 | 0% |
Unknown | 6 | 23% |