Abstract
After more than 30 years, landmark progress has been made in the treatment of cancer, and melanoma in particular, with the success of new molecules such as ipilimumab, vemurafenib and active specific immunization.After the first congress in December 2010, the second edition of “Melanoma Research: a bridge from Naples to the World” meeting, organized by Paolo A. Ascierto (INT, Naples, Italy), Francesco M. Marincola (NIH, Bethesda, USA), and Nicola Mozzillo (INT, Naples, Italy) took place in Naples, on 5–6 December 2011. We have identified four new topics of discussion: Innovative Approaches in Prevention, Diagnosis and Surgical Treatment, New Pathways and Targets in Melanoma: An Update about Immunotherapy, and Combination Strategies.This international congress gathered more than 30 international faculty members and was focused on recent advances in melanoma molecular biology, immunology and therapy, and created an interactive atmosphere which stimulated discussion of new approaches and strategies in the field of melanoma.
Highlights
This year, the Melanoma Research Bridge meeting was held in Napoli on 5–6th December 2011 (Figure 1)
The scientific board selected four topics to be discussed during the twoday meeting: Innovative approaches in prevention, diagnosis and surgical treatment; New pathways and new targets in melanoma: an update; Immunotherapy: new evidence; Combination strategies
Only 50% of metastatic melanoma patients have the V600 BRAF mutation and most responses are transient (90% of patients progress within 9 months)
Summary
This year, the Melanoma Research Bridge meeting was held in Napoli on 5–6th December 2011 (Figure 1). To improve melanoma staging and prognosis, it is evident that there is a need to develop and integrate new statistical models and contemporary analytic approaches that better inform using multiple characteristics and continuous variables, enhanced ability to combine evolving molecular features (eg, BRAF mutational status, PTEN expression) to better estimate cancer-specific survival in individual patient settings, and conditional probability models that estimate survival after treatment or at any time during follow-up [2,5,6,7,8].
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