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Cancer immunology and melanoma immunotherapy

Overview of attention for article published in Anais Brasileiros de Dermatologia, December 2017
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Title
Cancer immunology and melanoma immunotherapy
Published in
Anais Brasileiros de Dermatologia, December 2017
DOI 10.1590/abd1806-4841.201756511
Pubmed ID
Authors

Rudinei Diogo Marques Linck, Rômulo Leopoldo de Paula Costa, Bernardo Garicochea

Abstract

The stimulation of the immune system, in order to generate an attack against cancer cells, similarly to that which occurs in infectious disease, has long been matter of interest in oncology; however, only limited success has been achieved, with different treatment strategies tested in recent years. The development of new immune checkpoint inhibitors is currently changing this scenario, and immunotherapy is becoming a real choice among traditional cytotoxic treatments to fight cancer. Recent reports have shown efficacy and safety with the use of pembrolizumab, nivolumab, and ipilimumab for the treatment of different neoplasms, especially melanoma. In this article, we propose a review of the mechanisms of action involved in cancer immunology, the response evaluation of immunotherapies, and its toxicity profile, as well as a summary of the main clinical trials that led to the adoption of these new drugs for melanoma treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 16%
Student > Master 7 16%
Student > Doctoral Student 6 13%
Researcher 5 11%
Student > Ph. D. Student 3 7%
Other 3 7%
Unknown 14 31%
Readers by discipline Count As %
Medicine and Dentistry 14 31%
Biochemistry, Genetics and Molecular Biology 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Agricultural and Biological Sciences 2 4%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 17 38%