Faculty Bibliography

Current staging guidelines are insufficient to predict which patients with thin primary melanoma are at high risk of recurrence. Computer-assisted image analysis may allow for more practical and objective histopathological analysis of primary tumors than traditional light microscopy. We studied a prospective cohort of stage IB melanoma patients treated at NYU Langone Medical Center from 2002 to 2014. Primary tumor width, manual area, digital area, and conformation were evaluated in a patient subset via computer-assisted image analysis. The associations between histologic variables and survival were evaluated using Cox proportional hazards model. Logistic regressions were used to build a classifier with clinicopathological characteristics to predict recurrence status. Of the 655 patients with stage IB melanoma studied, a subset of 149 patient tumors (63 recurred, 86 did not recur) underwent computer-assisted histopathological analysis. Increasing tumor width (hazard ratios (HR): 1.17, P=0.01) and digital area (HR: 1.08, P<0.01) were significantly associated with worse recurrence-free survival, whereas non-contiguous conformation (HR: 0.57, P=0.05) was significantly associated with better recurrence-free survival. The novel histopathological classifier composed of digital area, conformation, and baseline variables effectively distinguished recurrent cases from non-recurrent cases (AUC: 0.733, 95% confidence interval (CI): 0.647-0.818), compared to the baseline classifier alone (AUC: 0.635, 95% CI: 0.545-0.724). Primary tumor cross-sectional area, width, and conformation measured via computer-assisted analysis may help identify high-risk patients with stage IB melanoma.Modern Pathology advance online publication, 21 July 2017; doi:10.1038/modpathol.2017.64.

OBJECTIVES: Since 2011, metastatic melanoma treatment has evolved with commercial approval of BRAF- and MEK-targeted therapy and CTLA-4- and PD-1-blocking antibodies (immune checkpoint inhibitors, ICI). While novel therapies have demonstrated improved prognosis in clinical trials, few studies have examined the evolution of prognosis and toxicity of these drugs among an unselected population. We assess whether survival and toxicity reported in trials, which typically exclude most patients with brain metastases and poor performance status, are recapitulated within a commercial access population. METHODS: 182 patients diagnosed with stage IV melanoma from July 2006 to December 2013 and treated with BRAF- and/or MEK-targeted therapy or ICI were prospectively studied. Outcomes and clinicopathologic differences between trial and commercial cohorts were assessed. RESULTS: Patients receiving commercial therapy (vs. on trial) had poorer prognostic features (i.e., brain metastases) and lower median overall survival (mOS) when assessed across all treatments (9.2 vs. 17.5 months, p = 0.0027). While toxicity within trial and commercial cohorts did not differ, patients who experienced toxicity had increased mOS (p < 0.001), irrespective of stratification by trial status or therapy. CONCLUSION: Metastatic melanoma patients receiving commercial treatment may represent a different clinical population with poor prognostic features compared to trial patients. Toxicity may prognosticate treatment benefit.

Association of aberrant glycosylation with melanoma progression is based mainly on analyses of cell lines. Here we present a systems-based study of glycomic changes and corresponding enzymes associated with melanoma metastasis in patient samples. Upregulation of core fucosylation (FUT8) and downregulation of alpha-1,2 fucosylation (FUT1, FUT2) were identified as features of metastatic melanoma. Using both in vitro and in vivo studies, we demonstrate FUT8 is a driver of melanoma metastasis which, when silenced, suppresses invasion and tumor dissemination. Glycoprotein targets of FUT8 were enriched in cell migration proteins including the adhesion molecule L1CAM. Core fucosylation impacted L1CAM cleavage and the ability of L1CAM to support melanoma invasion. FUT8 and its targets represent therapeutic targets in melanoma metastasis.

Patients with thick (>4 mm) primary melanomas have highly variable outcomes. Current staging criteria for these patients are based primarily on the presence of nodal disease, which often serves as the basis for adjuvant trial eligibility. Identification of novel biomarkers could help identify patients who may benefit from promising, new adjuvant therapies or, alternatively, spare patients with good prognoses the cost and potential toxicity of these drugs. We examined patients with thick primary melanoma to determine whether proliferation markers (mitotic index and Ki- 67) and other clinicopatholgical features were associated with survival. We studied 171 patients with thick primary melanomas; median thickness was 6.0 mm (median follow-up, 3.0 years). In clinically node-negative patients, Ki-67 expression was an independent predictor of worse RFS (HR 2.19, P = 0.024) and OS (HR 2.49, P = 0.028). In a separate model, moderate (>1 to <5 per mm²) and many (>5 per mm²) mitoses were each significantly associated with RFS (HR = 9.97, P = 0.035 and HR = 11.93, P = 0.025, respectively); and OS (HR = 12.79, P = 0.033 and HR = 18.68, P = 0.017, respectively). In the same model, natural log-transformed tumor thickness was also significantly associated with worse OS (HR 2.37, P = 0.009). In sum, we identified cell proliferation markers Ki-67 and mitotic index as independent predictors of survival in clinically nodenegative patients with thick primary melanoma. Greater tumor thickness was also an independent predictor of survival in this cohort. With further investigation, these measures may improve risk-stratification for patients with thick primary melanoma

Patients with stage IB melanoma have a 10% risk of melanoma-specific mortality within five years. The current prognostic paradigm, however, is insufficient to predict which of these patients are most likely to recur. Additional prognostic characteristics of stage IB melanoma are needed to identify this patient subset who are at highest risk of recurrence, and may benefit from closer follow-up. We evaluated a prospective cohort of stage IB patients (n = 655) treated at NYU Langone Medical Center. In a research subset (n = 149) composed of patients with recurrent (n = 63) and nonrecurrent (n = 86) disease matched for age, sex, thickness, ulceration and mitoses, primary tumors were independently reviewed for digitally calculated area, manually calculated area (depth x width), width, and conformation (contiguous versus noncontiguous) using computer-assisted histopathological analysis (Aperio, Vista, CA USA). We tested the association between histologic variables and recurrence-free survival (RFS) using Cox univariate analysis. Increasing digital area (HR 1.08, P < 0.01), tumor width (HR 1.17, P = 0.01), and non-contiguous conformation (HR 0.57, P = 0.05) were independently prognostic of RFS. Linear regression analysis showed a significant correlation between the manual and digital area (estimate 0.64, P < 0.01), which became even stronger when restricted to patients with contiguous tumors (estimate 0.75, P < 0.01), suggesting manually calculated tumor area may also provide useful prognostic information for providers without access to similar software. Computer-assisted measurement of cross-sectional tumor area, width, and contiguity may help risk-stratification in stage IB patients. Independent validation of these primary tumor characteristic is needed to fully comprehend their prognostic role in stage IB melanoma

Purpose To identify MR imaging features of melanoma brain metastases (MBM) that correlate with genetic profile of melanoma and patient survival. Materials and methods Patients with newly diagnosed melanoma metastases were identified from institutional database A retrospective review of brain MRI was performed focusing on lesion number, size, T1-, T2- and diffusion-weighted signal characteristics, hemorrhage, necrosis, enhancement pattern and edema. Genomic (BRAF status), treatment and survival data was collected. Results 98 patients were included in final analysis. A strong correlation was found between size of the largest lesion and the percent of lesions with T1-weighted hyperintense signal (R = 0.49), percent of lesions with size >1 cm (0.55), and the lesions that are clearly hemorrhagic (0.43). The analyzed imaging parameters were found to be independent of BRAF mutation status. The median survival of subjects with single lesion (9.1 months) was significantly higher than the median survival of subjects with more than 1 lesion (4.9 months) (p = 0.002). Patients with 2-18 lesions had significantly longer survival (5.6 months) than with >18 lesions (2 months) (p < 0.001). Other imaging parameters such as lesion size, T1-weighted hyperintensity, number of lesions with edema and hemorrhage were not found to be significantly related to survival. BRAF inhibitor treatment was found to be the most significant prognostic factor (p = 0.002) among patients with multiple lesions. Conclusion There is a statistically significant correlation between number of brain metastases and survival. In patients with multiple lesions, BRAF inhibitor treatment was the most significant prognostic factor.