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Immunosurveillance and Melanoma

Name: Immunosurveillance and Melanoma
Creator: Jean-Claude Bystryn
Keywords: Immunity, Cellular, Vaccines, Skin Neoplasms, Cell Biology, Dermatology, Biochemistry, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Monitoring, Immunologic

descriptionPublicationkeyboard_double_arrow_right Article 01 May 1989Publisher:Elsevier BVJournal:Journal of Investigative Dermatology, volume 92, pages S318-S320 (issn: 0022-202X,

Authors: Jean-Claude Bystryn;

doi: 10.1038/jid.1989.90 , 10.1111/1523-1747.ep13076748

pmid: 2715666

Immunosurveillance and Melanoma

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Abstract

There is considerable indirect and some direct evidence that immune mechanisms can play an important role in controlling the growth of melanoma. In mice, melanoma can be prevented with vaccines. Consequently, even though naturally occurring immunosurveillance may not be sufficiently potent to prevent melanoma, it is possible that the prophylactic augmentation of immunity to melanoma with vaccines may eventually permit this cancer to be prevented in humans.

Related Organizations

New York University
United States
University of Chicago
United States
New York University School of Medicine
United States

Keywords

Immunity, Cellular, Vaccines, Skin Neoplasms, Cell Biology, Dermatology, Biochemistry, Monitoring, Immunologic, Humans, Immunization, Molecular Biology, Melanoma

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average