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Drug targets and predictive biomarkers in the management of metastatic melanoma

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, September 2012
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Title
Drug targets and predictive biomarkers in the management of metastatic melanoma
Published in
Pharmacogenomics and Personalized Medicine, September 2012
DOI 10.2147/pgpm.s25100
Pubmed ID
Authors

Harriet Kluger, Eva Giesen, Thumar

Abstract

Melanoma is the leading cause of fatal skin cancer, and in the past few decades, there has been an increase in the incidence of and mortality from metastatic melanoma. Until recently, the therapeutic options for treatment of metastatic melanoma were limited. The approval of ipilimumab (an anti-CTLA-4 antibody) and vemurafenib (mutant B-RAF(V600E) kinase inhibitor) by the Federal Drug Administration has led to a new era in melanoma treatment, and additional promising drugs and drug combinations are currently being investigated. As the choices of treatment for melanoma have expanded, the need to identify predictive biomarkers to tailor treatment strategies to individual tumor or immune system characteristics has become necessary. Such strategies have the potential of maximizing antitumor effect while minimizing toxicity and improving clinical benefit. In this article, we review the currently approved targeted therapies in melanoma and discuss the future of personalized therapy for this disease.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Bachelor 4 22%
Student > Master 3 17%
Other 2 11%
Student > Doctoral Student 2 11%
Other 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 44%
Medicine and Dentistry 7 39%
Chemistry 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 1 6%