The biology behind prognostic factors of cutaneous melanoma.
OBJECTIVE
Cutaneous melanoma still represents a paradox among all solid tumors. It is the cancer for which the best prognostic markers ever identified in solid tumors are available, yet there is very little understanding of their biological significance. This review focuses on recent biological data that shed light on the clinico-biological correlations that support the 2010 AJCC melanoma staging system.


RESULTS
E-cadherin is a keratinocyte-melanoma adhesion molecule whose loss is required for the acquisition of an invasive phenotype. Recent data showed that this loss is mediated by the transcription factor Tbx3 which is also involved in suppressing melanocytes senescence. CCN3 is present in melanoma cells close to the epidermal-dermal interface, but not in melanoma cells that have invaded deep into the dermis. It has been recently demonstrated that CCN3 decreases the transcription and activation of matrix metalloproteinases and suppresses the invasion of melanoma cells. These results suggest that the absence of CCN3 in advanced melanoma cells contributes to their invasive phenotype and that ulceration modifies the microenvironment allowing CCN3-depleted melanoma cells to invade.


CONCLUSIONS
A major challenge is to replace outcome clustering based on artificial biomarker breakpoints by a continuous multidimensional prognostic model. Major improvement will come from shared computerized tools allowing to generate continuous likelihood scores for diagnosis, prognosis and response prediction. This will lead to the development of platforms which can be used by scientists from different fields to integrate and share high-quality data in the precompetitive setting and generate new probabilistic causal models.
Spatz
Alan
A
Segal Cancer Centre/Jewish General Hospital, Departments of Pathology & Oncology, McGill University, Montreal, Canada.
Batist
Gerald
G
Eggermont
Alexander M M
AM
D014408:Biomarkers, Tumor / Q000592:standards*; D006801:Humans; D008545:Melanoma / Q000473:pathology*; D009367:Neoplasm Staging / Q000592:standards*; D011379:Prognosis; D012878:Skin Neoplasms / Q000473:pathology*
D014408:Biomarkers, Tumor