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Cancer Control
Article . 2009 . Peer-reviewed
License: SAGE TDM
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Cancer Control
Article . 2009
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Tumor Biomarkers in Melanoma

Authors: Jüurgen C Becker; Jochen Utikal; Selma Ugurel;

Tumor Biomarkers in Melanoma

Abstract

Background Morphologic and histopathologic markers have been the backbone for the classification and prognostic assessment of melanoma. Availability of an increasing number of molecular markers, however, provides the potential for refining diagnostic and prognostic categories in this disease. Methods We reviewed the recent data that are accumulating concerning gene expression and genetic profiling and related these to clinical aspects of the disease. Results Multiple biomarkers have now been described, and their biologic significance is being established. In addition, several candidate molecules involved in mela-noma pathogenesis have been identified. Conclusions The process of biomarker identification and validation is providing a rapidly changing molecular view of melanoma, a strategy that is necessary for developing truly stratified or even personalized prevention or management.

Related Organizations
Keywords

Proteomics, Skin Neoplasms, Predictive Value of Tests, Gene Expression Profiling, Biomarkers, Tumor, Humans, Prognosis, Melanoma

  • BIP!
    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).
    36
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
gold