Faculty Bibliography

Immunotherapy is associated with durable clinical benefit in patients with melanoma. The goal of this article is to provide evidence-based consensus recommendations for the use of immunotherapy in the clinical management of patients with high-risk and advanced-stage melanoma in the USA. To achieve this goal, the Society for Immunotherapy of Cancer sponsored a panel of melanoma experts--including physicians, nurses, and patient advocates--to develop a consensus for the clinical application of tumour immunotherapy for patients with melanoma. The Institute of Medicine clinical practice guidelines were used as a basis for this consensus development. A systematic literature search was performed for high-impact studies in English between 1992 and 2012 and was supplemented as appropriate by the panel. This consensus report focuses on issues related to patient selection, toxicity management, clinical end points and sequencing or combination of therapy. The literature review and consensus panel voting and discussion were used to generate recommendations for the use of immunotherapy in patients with melanoma, and to assess and rate the strength of the supporting evidence. From the peer-reviewed literature the consensus panel identified a role for interferon-alpha2b, pegylated-interferon-alpha2b, interleukin-2 (IL-2) and ipilimumab in the clinical management of melanoma. Expert recommendations for how to incorporate these agents into the therapeutic approach to melanoma are provided in this consensus statement. Tumour immunotherapy is a useful therapeutic strategy in the management of patients with melanoma and evidence-based consensus recommendations for clinical integration are provided and will be updated as warranted.

Previous reports have demonstrated a role for hedgehog signaling in melanoma progression, prompting us to explore the therapeutic benefit of targeting this pathway in melanoma. We profiled a panel of human melanoma cell lines and control melanocytes for altered expression of hedgehog pathway members and determined the consequences of both genetic and pharmacological inhibition of the hedgehog pathway activator Smoothened (SMO) in melanoma, both in vitro and in vivo. We also examined the relationship between altered expression of hedgehog pathway mediators and survival in a well-characterized cohort of metastatic melanoma patients with prospectively collected follow up information. Studies revealed that over 40% of the melanoma cell lines examined harbored significantly elevated levels of the hedgehog pathway mediators SMO, GLI2, and PTCH1 compared to melanocytes (p < 0.05). SMO inhibition using siRNA and the small molecule inhibitor, NVP-LDE-225, suppressed melanoma growth in vitro, particularly in those cell lines with moderate SMO and GLI2 expression. NVP-LDE-225 also induced apoptosis in vitro and inhibited melanoma growth in a xenograft model. Gene expression data also revealed evidence of compensatory up-regulation of two other developmental pathways, Notch and WNT, in response to hedgehog pathway inhibition. Pharmacological and genetic SMO inhibition also downregulated genes involved in human embryonic stem cell pluripotency. Finally, increased SMO expression and decreased expression of the hedgehog pathway repressor GLI3 correlated with shorter post recurrence survival in metastatic melanoma patients. Our data demonstrate that hedgehog pathway inhibition might be a promising targeted therapy in appropriately selected metastatic melanoma patients.

BACKGROUND: Steadily high melanoma mortality rates urge for the availability of novel biomarkers with a more personalized ability to predict melanoma clinical outcomes. Germline risk variants are promising candidates for this purpose; however, their prognostic potential in melanoma has never been systematically tested. METHODS: We examined the effect of 108 melanoma susceptibility single nucleotide polymorphisms (SNPs), associated in recent GWAS with melanoma and melanoma-related phenotypes, on recurrence-free survival (RFS) and overall survival (OS), in 891 prospectively accrued melanoma patients. Cox proportional hazards models (Cox PH) were used to test the associations between 108 melanoma risk SNPs and RFS and OS adjusted by age at diagnosis, gender, tumor stage, histological subtype and other primary tumor characteristics. RESULTS: We identified significant associations for rs7538876 (RCC2) with RFS (HR = 1.48, 95% CI = 1.20-1.83, p = 0.0005) and rs9960018 (DLGAP1) with both RFS and OS (HR = 1.43, 95% CI = 1.07-1.91, p = 0.01, HR = 1.52, 95% CI = 1.09-2.12, p = 0.01, respectively) using multivariable Cox PH models. In addition, we developed a logistic regression model that incorporates rs7538876, rs9960018, primary tumor histological type and stage at diagnosis that has an improved discriminatory ability to classify 3-year recurrence (AUC = 82%) compared to histological type and stage alone (AUC = 78%). CONCLUSIONS: We identified associations between melanoma risk variants and melanoma outcomes. The significant associations observed for rs7538876 and rs9960018 suggest a biological implication of these loci in melanoma progression. The observed predictive patterns of associated variants with clinical end-points suggest for the first time the potential for utilization of genetic risk markers in melanoma prognostication.

Objectives: Age is an understudied factor when considering treatment options for melanoma. Here, we examine the impact of age on primary melanoma treatment in a prospective cohort of patients. Methods: We used logistic regression models to examine the associations between age and initial treatment, using recurrence and melanoma-specific survival as endpoints. Results: 444 primary melanoma patients were categorized into three groups by age at diagnosis: 19-45 years (24.3%), 46-70 (50.2%), and 71-95 (25.5%). In multivariate models, older patients experienced a higher risk of recurrence (hazard ratio 3.34, 95% confidence interval, CI, 1.53-7.25; p < 0.01). No significant differences were observed in positive biopsy margin rates or extent of surgical margins across age groups. Patients in the middle age group were more likely to receive adjuvant therapy than those in the older group (odds ratio 2.78, 95% CI 1.19-6.45; p = 0.02) and showed a trend to longer disease-free survival when receiving adjuvant therapy (p = 0.09). Conclusion: Our data support age as an independent negative prognostic factor in melanoma. Our data suggest that age does not affect primary surgical treatment but may affect decisions of whether or not patients receive postoperative treatment(s). Further work is needed to better understand the biological variables affecting treatment decisions and efficacy in older patients.

Background: Although patient age at diagnosis is not currently included in guidelines for treatment of primary melanoma, several lines of evidence suggest that patient age is an important, yet understudied, factor when considering treatment options. Here, we attempt to address the limited knowledge of the impact of age on primary melanoma treatment. Methods: In a prospectively enrolled and followed-up cohort of melanoma patients at NYU, we used logistic regression models to evaluate the association between patient age at diagnosis, tumor baseline characteristics, including BRAF and NRAS mutation status, and likelihood of receiving and responding to adjuvant therapy. We examined adjuvant therapy effectiveness using recurrence and melanoma-specific survival as endpoints. Results: 444 primary melanoma patients were included in the study (median follow-up: 6.3 years; age range: 19-95 years). Age was categorized into three groups spanning the range of age at presentation: younger (19-45 years; 24%), middle (46-70 years; 50%), and older (71-95 years; 26%). Older patients were significantly more likely to have advanced stage, nodular subtype (P < 0.01, both variables), and BRAF wildtype tumors (P = 0.04). Controlling for these factors as well as gender, older patients experienced a higher risk of recurrence (HR older vs. younger 3.34, 95% CI 1.53-7.25; P < 0.01). Of the 128/444 (29%) patients who were eligible for adjuvant treatment (clinical stage IIB), only 67/128 (52%) received treatment. Using a propensity score that accounts for stage at presentation, patients in the middle age group were more likely to receive adjuvant therapy than those in the older group (OR 2.61, 95% CI 1.12-6.08; P = 0.03). In addition, a trend suggesting benefit from adjuvant therapy (defined as longer melanoma-specific survival) was observed only in the middle age group (P = 0.07). Conclusions: Our data suggest that older melanoma patients, despite having a significantly worse prognosis, are less likely to receive and bene!

Background: Patients with metastatic melanoma are eligible for BRAF inhibitor therapy if the BRAF V600E mutation can be identified in their tumor specimen. Patients lacking an available specimen for genotyping are unable to receive inhibitor therapy. We developed two mutation-specific genotyping platforms and tested their ability to detect BRAF and NRAS mutations in archived plasma and tumor samples to determine the potential utility of blood-based tumor genotyping in melanoma. Methods: We analyzed a group of 96 patients with stage III or IV melanoma, prospectively enrolled and followed in the NYU Melanoma Biorepository program. Each patient had a plasma sample and one or more tumor samples available for analysis. We used a combination of allele-specific PCR (Taqman) and SNaPshot assays to identify BRAF V600 and NRAS Q61 mutations in the tumor and plasma samples. Results: Among the 96 patients, 51 had stage III disease at the time of analysis; 45 had stage IV disease. Seventy-two patients had 2 or more tumor samples available for analysis, for a total of 204 tumors analyzed. In total, 52/96 (54%) patients had one or more BRAF or NRAS mutant tumors, including one patient with separate BRAF and NRAS mutant tumors (BRAF, n=35 (36%); NRAS, n=18 (19%)). We successfully amplified plasma DNA from 39/52 (75%) patients with tumor-associated mutations. Among those patients with amplifiable plasma DNA we detected mutations in 7 (18%) patients including 3 BRAF V600E, one V600K, 2 NRAS Q61K and one Q61L. Plasma-based mutations matched tumor-associated mutations in all 7 patients. All 7 patients had active disease at the time of blood draw. There were 32 patients with tumor-associated mutations in which a mutation could not be detected in the plasma. Only 15 of those 32 (47%) had active disease at the time of blood draw. There were no mutations detected in the plasma of the 44 patients whose tumors lacked BRAF or NRAS mutations. Conclusions: These data suggest that plasma-based detection of BRAF and NRAS mut!

Background: Small reported studies have provided some evidence implicating immune related genes in melanoma susceptibility and prognosis; however candidate selection of these prior efforts has been limited. In this study, we performed an analysis of germline variants in immuno-modulatory genes for their association with melanoma survival in a well characterized cohort of prospectively accrued melanoma patients. Methods: Germline DNA isolated from blood samples of 817 melanoma patients was genotyped for 94 SNPs tagging 55 immuno-modulatory genes using Sequenom iPLEX. Cox models were used to test associations between each SNP and recurrence-free and overall survival (RFS and OS), with adjustments for age, gender, subtype, thickness, ulceration, and anatomic site. ROC curves were constructed from different SNP/clinical covariate combinations and the area under the curve (AUC) was used to assess their utility in the classification of 3-year recurrence. Results: The SNP rs2796817 in TGFB2 had strong associations with both RFS (HR=3.8, CI 95%: 1.3-11, p=0.02) and OS (HR=5.5, CI 95%: 1.6-19, p=0.029). Other interesting associations with OS came from IRF8 (rs4843861, HR=0.62, CI 95%: 0.39-0.99, p=0.017), CCL5 (rs4796120, HR=7.6, CI 95%: 2.3-25, p=0.035), and CD8A (rs3810831, HR=2.4, CI 95%: 0.91-6.2, p=0.048). A multivariate model including stage, subtype, and one of the SNPs (rs3810831 from CD8A), was shown to improve the AUC when compared to a model including only stage and subtype (0.77 vs. 0.79). Conclusions: We identified several immune-related loci associated with melanoma RFS and OS. The strongest association, rs2796817, maps in TGFB2, which among other functions suppresses IL-2 dependent T-cell growth. In addition to other associations found in the study these findings provide evidence for the involvement of immuno-modulatory genes in melanoma prognosis and suggest further investigations of immune related genes in disease progression. This is currently underway in the second stage validation an!