Biomarkers in melanoma
Identifieur interne : 001F32 ( Main/Exploration ); précédent : 001F31; suivant : 001F33Biomarkers 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 :
- Annals of Oncology [ 0923-7534 ] ; 2009.
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:
- Allemagne, Australie, Canada, Grèce, Pays-Bas, Suisse
- Hollande-Méridionale, Québec, Schleswig-Holstein
- Kiel, Montréal, Rotterdam
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002873
- to stream Istex, to step Curation: 002873
- to stream Istex, to step Checkpoint: 000708
- to stream Main, to step Merge: 002085
- to stream Main, to step Curation: 001F32
Le document en format XML
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<front><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>
</front>
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