Biomarkers in melanoma

被引:88
作者
Gogas, H. [1 ]
Eggermont, A. M. M. [2 ]
Hauschild, A. [3 ]
Hersey, P. [4 ]
Mohr, P. [5 ]
Schadendorf, D. [6 ]
Spatz, A. [7 ,8 ]
Dummer, R. [9 ]
机构
[1] Univ Athens, Sch Med, Dept Med 1, Athens 10675, Greece
[2] Erasmus Univ, Med Ctr, Dr Daniel Den Hoed Canc Ctr, Dept Surg Oncol, Rotterdam, Netherlands
[3] Univ Kiel, Dept Dermatol, D-2300 Kiel, Germany
[4] Calvary Mater Newcastle Hosp, Immunol & Oncol Unit, Newcastle, NSW, Australia
[5] Elbe Klinikum Buxtehude, Dept Dermatol, Buxtehude, Germany
[6] Univ Hosp Essen, Dept Dermatol, Essen, Germany
[7] Sir Mortimer B Davis Jewish Hosp, Dept Pathol, Montreal, PQ, Canada
[8] McGill Univ, Montreal, PQ, Canada
[9] Univ Zurich Hosp, Dept Dermatol, CH-8091 Zurich, Switzerland
关键词
biomarkers; melanoma; LDH; MIA; S100; AMERICAN-JOINT-COMMITTEE; PRIMARY CUTANEOUS MELANOMA; RELIABLE TUMOR-MARKER; STAGE-III MELANOMA; GENE-EXPRESSION; S-100; PROTEIN; PROGNOSTIC-SIGNIFICANCE; DISEASE PROGRESSION; INHIBITING ACTIVITY; MALIGNANT-MELANOMA;
D O I
10.1093/annonc/mdp251
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Biomarkers are tumour- or host-related factors that correlate with tumour biological behaviour and patient prognosis. High-throughput analytical techniques-DNA and RNA microarrays-have 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 biomarkers-lactate dehydrogenase, S100B and melanoma-inhibiting activity-as well as selected investigational serum biomarkers such as TA901C 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.
引用
收藏
页码:8 / 13
页数:6
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