Faculty Bibliography

Purpose: We have shown that the aged microenvironment increases melanoma metastasis, and decreases response to targeted therapy, and here we queried response to anti-PD1.Experimental Design: We analyzed the relationship between age, response to anti-PD1, and prior therapy in 538 patients. We used mouse models of melanoma, to analyze the intratumoral immune microenvironment in young versus aged mice and confirmed our findings in human melanoma biopsies.Results: Patients over the age of 60 responded more efficiently to anti-PD-1, and likelihood of response to anti-PD-1 increased with age, even when we controlled for prior MAPKi therapy. Placing genetically identical tumors in aged mice (52 weeks) significantly increased their response to anti-PD1 as compared with the same tumors in young mice (8 weeks). These data suggest that this increased response in aged patients occurs even in the absence of a more complex mutational landscape. Next, we found that young mice had a significantly higher population of regulatory T cells (Tregs), skewing the CD8⁺:Treg ratio. FOXP3 staining of human melanoma biopsies revealed similar increases in Tregs in young patients. Depletion of Tregs using anti-CD25 increased the response to anti-PD1 in young mice.Conclusions: While there are obvious limitations to our study, including our inability to conduct a meta-analysis due to a lack of available data, and our inability to control for mutational burden, there is a remarkable consistency in these data from over 500 patients across 8 different institutes worldwide. These results stress the importance of considering age as a factor for immunotherapy response. Clin Cancer Res; 1-10. ©2018 AACR.

Background: During their lifetime about 8% of patients with single primary cutaneous melanoma (SPM) will develop multiple primary melanomas (MPM), which are associated with significantly higher mortality compared to patients with SPM. Based on the evidence that the immune system plays a role in regulating melanoma progression we explored whether germline genetic variants controlling the expression of immunomodulatory genes (immunomodulatory quantitative trait loci, eQTLs) discern risk of MPMcompared to patients with SPM or healthy controls.
Method(s): Previously, we identified 50 eQTLs significantly associated with the expression of 265 immunomodulatory genes using the MuTHer twin cohort. These 50 SNPs were genotyped in 837 SPM and 104MPM individuals using MassARRAY system. 1047 healthy controls were obtained from a publically available GWAS on CMascertained at MDAnderson (phs000187.v1.p1). We employed multivariate logistic regression to test the association of SNPs withMPM vs cancer-free controls andMPMvs SPM.
Result(s): When comparing MPMvs SPM, rs2071304, previously linked to expression of SPI1 in MuTHer data, showed a strong association with reduction ofMPM risk (OR=0.60; 95% CI=0.45-0.81; p=0.0007). Intriguingly, this variant also trended toward significance when comparing MPM vs controls (OR=0.61; 95% CI: 0.44-0.85; p=0.003). Finally, our most significant association when comparingMPM to controls was for rs2276645 (OR=0.60; 95% CI=0.45-0.81; p=0.0008), an eQTL associated with Zap-70 expression.
Conclusion(s): Our data, for the first time, indicate that the inherited host immunity impacts risk ofMPMin individuals with SPM, highlighting an importance of immune involvement in melanoma progression. The MPMrisk-predicting genetic variants identified here or in expanded efforts, currently underway, may eventually lead to a diagnostic tool allowing for enhanced screening and clinical management of patients at risk of MPM, hence reducing elevated MPM-associated mortality. Additionally, our results further support thatMPM and SPM may have different genetics underpinnings and should be treated as separate clinical entities

BACKGROUND:Patients with thick primary melanomas (≥4 mm) have highly variable survival outcomes. Cell proliferation marker Ki-67 has been identified as promising biomarker in thick melanoma but has not been evaluated since the wide spread adoption of sentinel lymph node biopsy. We revisit its prognostic relevance in the sentinel node era. METHODS:We studied patients with thick (≥4 mm) primary melanoma prospectively enrolled in a clinicopathological biospecimen database from 2002 to 2015, and evaluated the prognostic value of Ki-67 expression while controlling for features included in the existing staging criteria. RESULTS:We analyzed 68 patients who underwent lymph node sampling and who had an available tumor for Ki-67 immunohistochemical (IHC) staining. The median tumor thickness was 6.0 mm; the median follow-up was 2.6 years. In multivariable analysis including nodal status and primary tumor ulceration, Ki-67 expression was an independent predictor of worse recurrence-free survival (HR 2.19, P = 0.024) and overall survival (HR 2.49, P = 0.028). Natural log-transformed tumor thickness (ln [thickness]) was also significantly associated with worse OS (HR 2.39, P = 0.010). CONCLUSION/CONCLUSIONS:We identify Ki-67 and ln (thickness) as potential biomarkers for patients with thick melanoma who have undergone nodal staging. If validated in additional studies, these biomarkers could be integrated into the staging criteria to improve risk-stratification.

BACKGROUND:Cancer-testis antigen NY-ESO-1 is a highly immunogenic melanoma antigen which has been incorporated into adjuvant vaccine clinical trials. Three such early-phase trials were conducted at our center among patients with high-risk resected melanoma. We herein report on the pooled long-term survival outcomes of these patients in comparison to historical controls. METHODS:All melanoma patients treated at NYU Langone Health under any of three prospective adjuvant NY-ESO-1 vaccine trials were retrospectively pooled into a single cohort. All such patients with stage III melanoma were subsequently compared to historical control patients identified via a prospective institutional database with protocol-driven follow-up. Survival times were calculated using the Kaplan-Meier method, and Cox proportional hazard models were employed to identify significant prognostic factors and control for confounding variables. RESULTS:A total of 91 patients were treated with an NY-ESO-1 vaccine for the treatment of high-risk resected melanoma. Of this group, 67 patients were stage III and were selected for comparative analysis with 123 historical control patients with resected stage III melanoma who received no adjuvant therapy. Among the pooled vaccine cohort (median follow-up 61 months), the estimated median recurrence-free survival was 45 months, while the median overall survival was not yet reached. In the control cohort of 123 patients (median follow-up 30 months), the estimated median recurrence-free and overall survival were 22 and 58 months, respectively. Within the retrospective stage III cohort, NY-ESO-1 vaccine was associated with decreased risk of recurrence (HR = 0.56, p < 0.01) and death (HR = 0.51, p = 0.01). Upon controlling for sub-stage, the adjuvant NY-ESO-1 clinical trial cohort continued to exhibit decreased risk of recurrence (HR = 0.45, p < 0.01) and death (HR = 0.40, p < 0.01). CONCLUSIONS:In this small retrospective cohort of resected stage III melanoma patients, adjuvant NY-ESO-1 vaccine immunotherapy was associated with longer recurrence-free and overall survival relative to historical controls. These data support the continued investigation of adjuvant NY-ESO-1 based immunotherapy regimens in melanoma.

BACKGROUND:Immune checkpoint inhibitors (anti-CTLA-4, anti-PD-1, or the combination) enhance anti-tumor immune responses, yielding durable clinical benefit in several cancer types, including melanoma. However, a subset of patients experience immune-related adverse events (irAEs), which can be severe and result in treatment termination. To date, no biomarker exists that can predict development of irAEs. METHODS:We hypothesized that pre-treatment antibody profiles identify a subset of patients who possess a sub-clinical autoimmune phenotype that predisposes them to develop severe irAEs following immune system disinhibition. Using a HuProt human proteome array, we profiled baseline antibody levels in sera from melanoma patients treated with anti-CTLA-4, anti-PD-1, or the combination, and used support vector machine models to identify pre-treatment antibody signatures that predict irAE development. RESULTS:We identified distinct pre-treatment serum antibody profiles associated with severe irAEs for each therapy group. Support vector machine classifier models identified antibody signatures that could effectively discriminate between toxicity groups with > 90% accuracy, sensitivity, and specificity. Pathway analyses revealed significant enrichment of antibody targets associated with immunity/autoimmunity, including TNFα signaling, toll-like receptor signaling and microRNA biogenesis. CONCLUSIONS:Our results provide the first evidence supporting a predisposition to develop severe irAEs upon immune system disinhibition, which requires further independent validation in a clinical trial setting.

Biospecimen quality can vary depending on many pre- and post-collection variables. In this study, we consider a natural disaster as a post-collection variable that may have compromised the quality of frozen tissue specimens. To investigate this possible link, we compared the quality of nucleic acids, the level of antigenicity, and the preservation of histology from frozen specimens collected before and after the power outage caused by Hurricane Sandy. To analyze nucleic acid quality, we extracted both DNA and RNA and performed capillary electrophoresis to compare the quality and concentrations of the nucleic acids. To compare antigenicity, frozen sections were cut and immunostained for thyroid transcription factor 1 (TTF-1), a nuclear transcription protein commonly used as a diagnostic biomarker for multiple cancer types, including thyroid and lung cancers. Positive expression of TTF-1, as noted by homogenous nuclear staining, would demonstrate that the TTF-1 proteins could still bind antibodies and, therefore, that these proteins were not significantly degraded. Furthermore, representative frozen sections stained with hematoxylin and eosin were also assessed qualitatively by a trained pathologist to examine any possible histologic aberrations. Due to the similar quality of the tissue samples collected before and after the storm, Hurricane Sandy had no discernable effect on the quality of frozen specimens, and these specimens exposed to the natural disaster are still valuable research tools.

Background: Microglandular adenosis (MGA) is a rare borderline lesion of the breast characterized by an infiltrative collection of small glands that characteristically lack a myoepithelial cell layer. MGA is associated with invasive carcinoma in 20-30% of cases, and has been proposed as a non-obligate precursor to basal-like breast cancers. Somatic TP53 mutation of MGA and its associated carcinoma has been previously reported. We identified a case of triple negative metaplastic carcinoma with mesenchymal differentiation with morphologic and immunohistochemical evidence of progression from MGA to atypical MGA (AMGA), carcinoma in situ (CIS) and invasive carcinoma. We performed laser microdissection and whole exome sequencing of each four components (MGA, AMGA, CIS and cancer) with a matched benign sample to characterize the mutational landscape of these foci. Design: We selected a case of a metaplastic carcinoma with mesenchymal differentiation in juxtaposition to foci of MGA, AMGA and CIS. Immunohistochemically, all four foci were negative for estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 (her2) and positive for S-100. The distinct morphologic components and a matched control lymph node were separately microdissected from formalin-fixed paraffin embedded blocks. DNA extraction was performed and subjected to whole-exome sequencing on Illumina HiSeq platform. The results were demultiplexed and converted to FASTQ format using Illumina bcl2fastq software. Singlenucleotide and small indel somatic variants were called with MuTect2. Copy number profiles were calculated using Control-FREEC. Clonal populations were identified and quantified using PyClone. Results: Sequencing data resulted in mean coverage of 96-134X of targeted exome regions. Our results found a recurrent stop-gain R213* TP53 mutation in MGA, atypical MGA, CIS and metaplastic carcinoma. In addition, through variant allele frequency analysis, we identified two putative clonal clusters shared by all foci indicating a common molecular signature that is preserved in the morphologic spectrum of MGA-AMGA-CIS-metaplastic carcinoma. Conclusions: MGA is a molecularly advanced lesion with somatic mutation of TP53. We postulate that TP53 is an early event in the progression of MGA through AMGA, CIS and its associated metaplastic carcinoma. We report significant genetic overlap between MGA and its associated cancer

Background: Approximately 40% of metastatic cutaneous melanoma (CM) patients do not respond to the current immunotherapy (IT) regimens, pointing to other, yet unknown factors conferring IT resistance. In addition, > 60% of patients from single-line or combined treatment (COMBO) regimens present severe immune related adverse events (irAEs). In this study we have developed a novel genomic approach interrogating expression quantitative trait loci (eQTLs) to explore weather germline genetic variation can serve as novel personalized determinant of immunotherapy response and toxicity.
Method(s): By interrogating the genome wide expression data and SNP array datasets of healthy twin cohort (MuTHER), we have identified 85 eQTLs most significantly associated with the expression of 265 immune genes. Using the MassARRAY system, the 85 SNPs were genotyped in 138 anti-CTLA-4 treated patients, 87 PD-1 treated patients, and 69 patients from combined (COMBO) treatments, collected from multi-institutional collaborations. To test the association of SNPs with IT response and irAEs, logistic regression analyses were performed for each treatment group adjusting by demographic and clinical covariates.
Result(s): We found significant associations with COMBO IT resistance for and eQTL in IL10/IL19 (OR = 4.249, p = 0.0167), which we have recently identified for association with melanoma survival and which, interestingly, is an established locus associated with the risk of several autoimmune diseases. Additionally, we also identified eQTLs that are associated with IT sensitivity; IL1-beta with resistance to anti-CTLA-4 and SPI1 with resistance to anti-PD-1. Interestingly, genomic scan of 85 eQTLs has identified novel loci predictive of severe autoimmunity and site specific irAEs in patients treated with COMBO or single-line anti- CTLA4 IT.
Conclusion(s): In this study, we report that eQTLs from IL19/IL10 locus, previously shown to predict autoimmunity risk and CM survival, is also a surrogate marker of response to COMBO IT, indicating a strong relationship between interleukin pathways and tumor immunogenicity. Novel loci have been found as predictive markers for autoimmune toxicity, in patients treated with COMBO and anti-CTLA4 IT. This is a first evidence that immunomodulatory pathways modulated by germline genetic variation can impact susceptibility to irAEs as well as IT efficacy. Currently, a large scan is underway using genome-wide genetic screens to further test the functional validity of these findings in a large collaborative setting