La maladie de Parkinson au Canada (serveur d'exploration)

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Biomarkers in melanoma

Identifieur interne : 001F32 ( Main/Exploration ); précédent : 001F31; suivant : 001F33

Biomarkers in melanoma

Auteurs : H. Gogas [Grèce] ; A. M. M. Eggermont [Pays-Bas] ; A. Hauschild [Allemagne] ; P. Hersey [Australie] ; P. Mohr [Allemagne] ; D. Schadendorf [Allemagne] ; A. Spatz [Canada] ; R. Dummer [Suisse]

Source :

RBID : ISTEX:4FE4E3CCFE7FC388763E7F45E0BB73B7BF44F5F7

Abstract

Biomarkers are tumour- or host-related factors that correlate with tumour biological behaviour and patient prognosis. High-throughput analytical techniquesDNA and RNA microarrayshave identified numerous possible biomarkers, but their relevance to melanoma progression, clinical outcome and the selection of optimal treatment strategies still needs to be established. The review discusses a possible molecular basis for predictive tissue biomarkers such as melanoma thickness, ulceration and mitotic activity, and provides a list of promising new biomarkers identified from tissue microarrays that needs confirmation by independent, prospectively collected clinical data sets. In addition, common predictive serum biomarkerslactate dehydrogenase, S100B and melanoma-inhibiting activityas well as selected investigational serum biomarkers such as TA90IC and YKL-40 are also reviewed. A more accurate, therapeutically predictive classification of human melanomas and selection of patient populations that would profit from therapeutic interventions are among the major challenges expected to be addressed in the future.

Url:
DOI: 10.1093/annonc/mdp251


Affiliations:


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<div type="abstract">Biomarkers are tumour- or host-related factors that correlate with tumour biological behaviour and patient prognosis. High-throughput analytical techniquesDNA and RNA microarrayshave identified numerous possible biomarkers, but their relevance to melanoma progression, clinical outcome and the selection of optimal treatment strategies still needs to be established. The review discusses a possible molecular basis for predictive tissue biomarkers such as melanoma thickness, ulceration and mitotic activity, and provides a list of promising new biomarkers identified from tissue microarrays that needs confirmation by independent, prospectively collected clinical data sets. In addition, common predictive serum biomarkerslactate dehydrogenase, S100B and melanoma-inhibiting activityas well as selected investigational serum biomarkers such as TA90IC and YKL-40 are also reviewed. A more accurate, therapeutically predictive classification of human melanomas and selection of patient populations that would profit from therapeutic interventions are among the major challenges expected to be addressed in the future.</div>
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{{Explor lien
   |wiki=    Wicri/Canada
   |area=    ParkinsonCanadaV1
   |flux=    Main
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   |type=    RBID
   |clé=     ISTEX:4FE4E3CCFE7FC388763E7F45E0BB73B7BF44F5F7
   |texte=   Biomarkers in melanoma
}}

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