Uveal Melanoma: A European Network to Face the Many Challenges of a Rare Cancer

Uveal melanoma (UM) is the most frequent primary ocular cancer in adults, accounting for 5% of all melanomas. Despite effective treatments for the primary tumour, up to 50% of UM patients will develop metastasis, leading to a very poor prognosis and a median overall survival of 6 to 12 months, with no major improvements in the last 30 years. There is no standard oncological treatment available for metastatic UM patients, and BRAF/MEK and immune checkpoint inhibitors show disappointing results when compared to cutaneous melanoma (CM). Recent advances in biology, however, identified specific gene and chromosome alterations, potentially permitting an actively tailored surveillance strategy, and dedicated clinical studies. Being a rare cancer, UM patients have to overcome issues such as identifying referral centres, having access to information, and partnering with oncologists for specific management strategies and research priorities. Here, we describe how the European Rare Adult solid Cancer Network (EURACAN) will help in addressing these challenges and accelerating international collaborations to enhance the development of innovative treatments in UM

Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach

Understanding the biological factors that are characteristic of metastasis in melanoma remains a key approach to improving treatment. In this study, we seek to identify a gene signature of metastatic melanoma. We configured a new network-based computational pipeline, combined with a machine learning method, to mine publicly available transcriptomic data from melanoma patient samples. Our method is unbiased and scans a genome-wide protein-protein interaction network using a novel formulation for network scoring. Using this, we identify the most influential, differentially expressed nodes in metastatic as compared to primary melanoma. We evaluated the shortlisted genes by a machine learning method to rank them by their discriminatory capacities. From this, we identified a panel of 6 genes, ALDH1A1, HSP90AB1, KIT, KRT16, SPRR3 and TMEM45B whose expression values discriminated metastatic from primary melanoma (87% classification accuracy). In an independent transcriptomic data set derived from 703 primary melanomas, we showed that all six genes were significant in predicting melanoma specific survival (MSS) in a univariate analysis, which was also consistent with AJCC staging. Further, 3 of these genes, HSP90AB1, SPRR3 and KRT16 remained significant predictors of MSS in a joint analysis (HR = 2.3, P = 0.03) although, HSP90AB1 (HR = 1.9, P = 2 × 10−4) alone remained predictive after adjusting for clinical predictors

Health-related quality-of-life results from PALETTE: A randomized, double-blind, phase 3 trial of pazopanib versus placebo in patients with soft tissue sarcoma whose disease has progressed during or after prior chemotherapy-a European Organization for research and treatment of cancer soft tissue and bone sarcoma group global network study (EORTC 62072)

Contains fulltext : 152958.pdf (publisher's version ) (Open Access)BACKGROUND: Health-related quality of life (HRQoL) was an exploratory endpoint in the PALETTE trial, a global, double-blind, randomized, phase 3 trial of pazopanib 800 mg versus placebo as second-line or later treatment for patients with advanced soft tissue sarcoma (N = 369). In that trial, progression-free survival was significantly improved in the pazopanib arm (median, 4.6 vs 1.6 months; hazard ratio, 0.31; P < .001), and toxicity of pazopanib consisted mainly of fatigue, diarrhea, nausea, weight loss, and hypertension. METHODS: HRQoL was assessed using the 30-item core European Organization for the Research and Treatment of Cancer (EORTC) Quality-of-Life Questionnaire (EORTC QLQ-C30) at baseline and at weeks 4, 8, and 12 in patients who received treatment on protocol. The primary HRQoL endpoint was the EORTC QLQ-C30 global health status scale. RESULTS: Compliance with HRQoL assessments was good, ranging from 94% at baseline to 81% at week 12. Differences in scores on the EORTC QLQ-C30 global health status subscale between the 2 treatment arms were not statistically significant and did not exceed the predetermined, minimal clinically important difference of 10 points (P = .291; maximum difference, 3.8 points). Among the other subscales, the pazopanib arm reported significantly worse symptom scores for diarrhea (P < .001) loss of appetite (P < .001), nausea/vomiting (P < .001), and fatigue (P = .012). In general, HRQoL scores tended to decline over time in both arms. CONCLUSIONS: HRQoL did not improve with the receipt of pazopanib. However, the observed improvement in progression-free survival without impairment of HRQoL was considered a meaningful result. The toxicity profile of pazopanib was reflected in the patients' self-reported symptoms but did not translate into significantly worse overall global health status during treatment. Cancer 2015;121:2933-2941. (c) 2015 American Cancer Society