Faculty Bibliography

Outcomes for patients with melanoma have improved over the past decade with the clinical development and approval of immunotherapies targeting immune checkpoint receptors such as programmed death-1 (PD-1), programmed death ligand 1 (PD-L1) or cytotoxic T lymphocyte antigen-4 (CTLA-4). Combinations of these checkpoint therapies with other agents are now being explored to improve outcomes and enhance benefit-risk profiles of treatment. Alternative inhibitory receptors have been identified that may be targeted for anti-tumor immune therapy, such as lymphocyte-activation gene-3 (LAG-3), as have several potential target oncogenes for molecularly targeted therapy, such as tyrosine kinase inhibitors. Unfortunately, many patients still progress and acquire resistance to immunotherapy and molecularly targeted therapies. To bypass resistance, combination treatment with immunotherapies and single or multiple TKIs have been shown to improve prognosis compared to monotherapy. The number of new combinations treatment under development for melanoma provides options for the number of patients to achieve a therapeutic benefit. Many diagnostic and prognostic assays have begun to show clinical applicability providing additional tools to optimize and individualize treatments. However, the question on the optimal algorithm of first- and later-line therapies and the search for biomarkers to guide these decisions are still under investigation. This year, the Melanoma Bridge Congress (Dec 1^st-3rd, 2022, Naples, Italy) addressed the latest advances in melanoma research, focusing on themes of paramount importance for melanoma prevention, diagnosis and treatment. This included sessions dedicated to systems biology on immunotherapy, immunogenicity and gene expression profiling, biomarkers, and combination treatment strategies.

Altered protein phosphorylation in cancer cells often leads to surface presentation of phosphopeptide neoantigens. However, their role in cancer immunogenicity remains unclear. Here we describe a mechanism by which an HLA-B*0702-specific acute myeloid leukemia phosphoneoantigen, pMLL_747-755 (EPR(pS)PSHSM), is recognized by a cognate T cell receptor named TCR27, a candidate for cancer immunotherapy. We show that the replacement of phosphoserine P₄ with serine or phosphomimetics does not affect pMHC conformation or peptide-MHC affinity but abrogates TCR27-dependent T cell activation and weakens binding between TCR27 and pMHC. Here we describe the crystal structures for TCR27 and cognate pMHC, map of the interface produced by nuclear magnetic resonance, and a ternary complex generated using information-driven protein docking. Our data show that non-covalent interactions between the epitope phosphate group and TCR27 are crucial for TCR specificity. This study supports development of new treatment options for cancer patients through target expansion and TCR optimization.

The TCR integrates forces in its triggering process upon interaction with pMHC. Force elicits TCR catch-slip bonds with strong pMHCs but slip-only bonds with weak pMHCs. We develop two models and apply them to analyze 55 datasets, demonstrating the models' ability to quantitatively integrate and classify a broad range of bond behaviors and biological activities. Comparing to a generic two-state model, our models can distinguish class I from class II MHCs and correlate their structural parameters with the TCR/pMHC's potency to trigger T cell activation. The models are tested by mutagenesis using an MHC and a TCR mutated to alter conformation changes. The extensive comparisons between theory and experiment provide model validation and testable hypothesis regarding specific conformational changes that control bond profiles, thereby suggesting structural mechanisms for the inner workings of the TCR mechanosensing machinery and plausible explanations of why and how force may amplify TCR signaling and antigen discrimination.

Background/Purpose: Treatment with a combination of immune checkpoint inhibitors (ICI) has promising outcomes in many tumor types but carries higher adverse event risk than ICI monotherapy. Also, patients with pre-existing autoimmune disease (AID) have largely been excluded from ICI clinical trials due to concern for pre-existing AID flare or immune-related adverse events (irAEs). This is the first study to analyze safety and effectiveness of ICI combination versus monotherapy for this at-risk population.
Method(s): We conducted a multi-center retrospective study in patients with pre-existing AIDs receiving ICIs (i.e., antiprogrammed cell death protein 1 (PD-1) single-agent (monotherapy) or ICI combination). Primary endpoints included the time to occurrence of any-type ICI AE (irAE or AID flare), time to irAEs and time to AID flares in the presence of the competing risk of death with progression free survival (PFS, time to progression or death) and overall survival (OS) as secondary endpoints. We used Fine-Gray models and Cox regression models to investigate the factors associated with these endpoints.
Result(s): 133 patients with pre-existing AID who received ICIs were identified: 69 (52%) monotherapy and 64 (48%) combination (Table 1). About half the patients had melanoma (44%) and 25% had lung cancer. Rheumatic (34%) or dermatologic (22%) pre-existing AIDs were the most common. Most patients (95%) had controlled autoimmune disease at ICI start. Six of 7 patients with active AID at baseline experienced some AE. Patients receiving baseline DMARD(s) were more likely to experience an AE (95%CI 1.079-2.996, p=0.024). The cumulative incidence of irAEs was higher for ICI combination compared to monotherapy (subdistribution hazard ratio (sHR) 2.28, 95%CI 1.36-3.84), adjusting for age at malignancy, but there was no significant difference between rate of high-grade toxicity for patients treated with ICI combination versus monotherapy (See Figure 1). On subgroup analysis for patients with melanoma or lung cancer, the cumulative incidence of irAEs or AID flares were not statistically different between treatment groups. PFS was longer (but not statistically significant) for combination therapy for any tumor type compared to single agent (median 12.3mo, 95%CI 5.0-23.2 versus 7.3mo, 95%CI 5.2-11.3, p=0.116). Similar trend was noted for PFS for melanoma (median 23.2mo combination vs. 14.0mo monotherapy, p=0.4237), while the opposite relation was noted for lung cancer subgroup (4.4mo combination vs. 7.1mo monotherapy, p=0.2933).
Conclusion(s): Efficacy of ICI combination versus monotherapy was not statistically significant and so still remains unclear in this patient population, but there was no significant difference in rates of high-grade toxicity between the two cohorts. Our data supports the notion that patients with pre-existing AIDs should not be indiscriminately precluded from getting ICI combination. Our results provide guidance for future prospective clinical trials studying combination therapy for subgroups of this at-risk population. No statistically significant difference appreciated in high grade adverse events between patients with pre-existing autoimmune disease treated with ICI combination versus monotherapy. Grading determined by the Common Terminology Criteria for Adverse Events rubric with grade 3 or higher considered "high grade."

PURPOSE:Adjuvant immunotherapy produces durable benefit for patients with resected melanoma, but many develop recurrence and/or immune-related adverse events (irAE). We investigated whether baseline serum autoantibody (autoAb) signatures predicted recurrence and severe toxicity in patients treated with adjuvant nivolumab, ipilimumab, or ipilimumab plus nivolumab. EXPERIMENTAL DESIGN:This study included 950 patients: 565 from CheckMate 238 (408 ipilimumab versus 157 nivolumab) and 385 from CheckMate 915 (190 nivolumab versus 195 ipilimumab plus nivolumab). Serum autoAbs were profiled using the HuProt Human Proteome Microarray v4.0 (CDI Laboratories, Mayaguez, PR). Analysis of baseline differentially expressed autoAbs was followed by recurrence and severe toxicity signature building for each regimen, testing of the signatures, and additional independent validation for nivolumab using patients from CheckMate 915. RESULTS:In the nivolumab independent validation cohort, high recurrence score predicted significantly worse recurrence-free survival [RFS; adjusted HR (aHR), 3.60; 95% confidence interval (CI), 1.98-6.55], and outperformed a model composed of clinical variables including PD-L1 expression (P < 0.001). Severe toxicity score was a significant predictor of severe irAEs (aHR, 13.53; 95% CI, 2.59-86.65). In the ipilimumab test cohort, high recurrence score was associated with significantly worse RFS (aHR, 3.21; 95% CI, 1.38-7.45) and severe toxicity score significantly predicted severe irAEs (aHR, 11.04; 95% CI, 3.84-37.25). In the ipilimumab plus nivolumab test cohort, high autoAb recurrence score was associated with significantly worse RFS (aHR, 6.45; 95% CI, 1.48-28.02), and high severe toxicity score was significantly associated with severe irAEs (aHR, 23.44; 95% CI, 4.10-212.50). CONCLUSIONS:Baseline serum autoAb signatures predicted recurrence and severe toxicity in patients treated with adjuvant immunotherapy. Prospective testing of the signatures that include datasets with longer follow-up and rare but more severe toxicities will help determine their generalizability and potential clinical utility. See related commentary by Hassel and Luke, p. 3914.

OBJECTIVE:To compare "hybrid immunity" (prior COVID-19 infection plus vaccination) and post-vaccination immunity to SARS CoV-2 in MS patients on different disease-modifying therapies (DMTs) and to assess the impact of vaccine product and race/ethnicity on post-vaccination immune responses. METHODS:Consecutive MS patients from NYU MS Care Center (New York, NY), aged 18-60, who completed primary COVID-19 vaccination series ≥6 weeks previously were evaluated for SARS CoV-2-specific antibody responses with electro-chemiluminescence and multiepitope bead-based immunoassays and, in a subset, live virus immunofluorescence-based microneutralization assay. SARS CoV-2-specific cellular responses were assessed with cellular stimulation TruCulture IFNγ and IL-2 assay and, in a subset, with IFNγ and IL-2 ELISpot assays. Multivariate analyses examined associations between immunologic responses and prior COVID-19 infection while controlling for age, sex, DMT at vaccination, time-to-vaccine, and vaccine product. RESULTS:Between 6/01/2021 and 11/11/2021, 370 MS patients were recruited (mean age 40.6 years; 76% female; 53% non-White; 22% with prior infection; common DMT classes: ocrelizumab 40%; natalizumab 15%, sphingosine-1-phosphate receptor modulators 13%; and no DMT 8%). Vaccine-to-collection time was 18.7 (±7.7) weeks and 95% of patients received mRNA vaccines. In multivariate analyses, patients with laboratory-confirmed prior COVID-19 infection had significantly increased antibody and cellular post-vaccination responses compared to those without prior infection. Vaccine product and DMT class were independent predictors of antibody and cellular responses, while race/ethnicity was not. INTERPRETATION/CONCLUSIONS:Prior COVID-19 infection is associated with enhanced antibody and cellular post-vaccine responses independent of DMT class and vaccine type. There were no differences in immune responses across race/ethnic groups.

Advances in immune checkpoint and combination therapy have led to improvement in overall survival for patients with advanced melanoma. Improved understanding of the tumor, tumor microenvironment and tumor immune-evasion mechanisms has resulted in new approaches to targeting and harnessing the host immune response. Combination modalities with other immunotherapy agents, chemotherapy, radiotherapy, electrochemotherapy are also being explored to overcome resistance and to potentiate the immune response. In addition, novel approaches such as adoptive cell therapy, oncogenic viruses, vaccines and different strategies of drug administration including sequential, or combination treatment are being tested. Despite the progress in diagnosis of melanocytic lesions, correct classification of patients, selection of appropriate adjuvant and systemic theràapies, and prediction of response to therapy remain real challenges in melanoma. Improved understanding of the tumor microenvironment, tumor immunity and response to therapy has prompted extensive translational and clinical research in melanoma. There is a growing evidence that genomic and immune features of pre-treatment tumor biopsies may correlate with response in patients with melanoma and other cancers, but they have yet to be fully characterized and implemented clinically. Development of novel biomarker platforms may help to improve diagnostics and predictive accuracy for selection of patients for specific treatment. Overall, the future research efforts in melanoma therapeutics and translational research should focus on several aspects including: (a) developing robust biomarkers to predict efficacy of therapeutic modalities to guide clinical decision-making and optimize treatment regimens, (b) identifying mechanisms of therapeutic resistance to immune checkpoint inhibitors that are potentially actionable, (c) identifying biomarkers to predict therapy-induced adverse events, and (d) studying mechanism of actions of therapeutic agents and developing algorithms to optimize combination treatments. During the Melanoma Bridge meeting (December 2nd-4th, 2021, Naples, Italy) discussions focused on the currently approved systemic and local therapies for advanced melanoma and discussed novel biomarker strategies and advances in precision medicine as well as the impact of COVID-19 pandemic on management of melanoma patients.

OBJECTIVE:The objective of this study was to determine the impact of multiple sclerosis (MS) disease-modifying therapies (DMTs) on the development of cellular and humoral immunity to severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection. METHODS:Patients with MS aged 18 to 60 years were evaluated for anti-nucleocapsid and anti-Spike receptor-binding domain (RBD) antibody with electro-chemiluminescence immunoassay; antibody responses to Spike protein, RBD, N-terminal domain with multiepitope bead-based immunoassays (MBI); live virus immunofluorescence-based microneutralization assay; T-cell responses to SARS-CoV-2 Spike using TruCulture enzyme-linked immunosorbent assay (ELISA); and IL-2 and IFNγ ELISpot assays. Assay results were compared by DMT class. Spearman correlation and multivariate analyses were performed to examine associations between immunologic responses and infection severity. RESULTS:Between January 6, 2021, and July 21, 2021, 389 patients with MS were recruited (mean age 40.3 years; 74% women; 62% non-White). Most common DMTs were ocrelizumab (OCR)-40%; natalizumab -17%, Sphingosine 1-phosphate receptor (S1P) modulators -12%; and 15% untreated. One hundred seventy-seven patients (46%) had laboratory evidence of SARS-CoV-2 infection; 130 had symptomatic infection, and 47 were asymptomatic. Antibody responses were markedly attenuated in OCR compared with other groups (p ≤0.0001). T-cell responses (IFNγ) were decreased in S1P (p = 0.03), increased in natalizumab (p <0.001), and similar in other DMTs, including OCR. Cellular and humoral responses were moderately correlated in both OCR (r = 0.45, p = 0.0002) and non-OCR (r = 0.64, p <0.0001). Immune responses did not differ by race/ethnicity. Coronavirus disease 2019 (COVID-19) clinical course was mostly non-severe and similar across DMTs; 7% (9/130) were hospitalized. INTERPRETATION/CONCLUSIONS:DMTs had differential effects on humoral and cellular immune responses to SARS-CoV-2 infection. Immune responses did not correlate with COVID-19 clinical severity in this relatively young and nondisabled group of patients with MS. ANN NEUROL 2022.

Objective: To compare humoral and T-cell responses to COVID- 19 vaccines in 400 MS patients who were on Ocrelizumab ('OCR') v. other disease-modifying therapies ('non-OCR') at the time of vaccination. Introduction: Peripheral B-cell depletion with anti-CD20 therapies attenuates humoral responses to vaccines. Whether immune responses to COVID-19 vaccines differ between B-cell depleted and non-B cell depleted MS patients is not known.
Method(s): Consecutive MS patients from NYU MS Care Center were invited to participate if they completed COVID-19 vaccination >=6 weeks previously. Immune testing included anti-spike RBD antibody (Elecsys Anti-SARS-CoV-2) (Roche Diagnostics); multiplex bead-based immunoassays of antibody-responses to SARS-COV-2 spike proteins; T-cell responses to SARS-CoV-2 Spike protein using IFNgamma enzyme-linked immune-absorbent spot (Invitrogen) and TruCulture (Myriad RBM) assays; high dimensional immunophenotyping; and live virus immunofluorescencebased microneutralization assay.
Result(s): As of 7/15/2021, 105 MS subjects were enrolled (mean age: 40.5 years; 76% female; 41% non-white; 38% on OCR; 12% with prior COVID-19 infection). 95% were fully vaccinated with mRNA vaccines (Pfizer/Moderna); 5% - with adenovirus-based vaccine (Johnson&Johnson). Median time from sample collection to last vaccine was 79 days. Positive Elecsys Anti-SARS-CoV-2 Ab titers post-vaccine were detected in 11/37 (30%) in OCR (mean level: 702 U/mL among seropositives) and 54/54 (100%) patients in non-OCR (mean level: 2310 U/mL; p<0.0001). Positive response by multiplex assay (threshold of 'positive' defined as 2 SD below the mean for the non-OCR) were detected in 10/27 (37%) OCR and 29/31 (94%) non-OCR (p<0.00001). T-cell activation based on induced IFNgamma secretion (TruCulture) was detected in 20/25 (80%) OCR and 16/19 (84%) non-OCR patients (p=0.71).
Conclusion(s): Preliminary results suggest robust T-cell immune response to SARS-CoV2 vaccines in approximately 80% of both OCR and non-OCR MS patients. Antibody responses were markedly attenuated in OCR compared to non-OCR group. Updated results will be presented