e21024 Background: Other than cutaneous melanoma, metastatic uveal melanoma (UM) is minimally responsive to checkpoint inhibitors. The prognosis remains very poor with mortality rates nearly unchanged over the last decades. The recently growing insight that immunotherapy significantly improves outcomes for cancer patients led to a re-emergence of vaccines including dendritic cell (DC) vaccines. Methods: We vaccinated an UM patient in a compassionate use setting and assessed the immunological and clinical responses. Based on this experience we performed individual compassionate treatments in other UM patients using DC loaded by peptide pulsing and/or mRNA transfection (autologous tumor RNA or RNA coding for tumor antigens). Results: The first patient was vaccinated in 2013 after a liver metastasis was resected and checkpoint blockade with ipilimumab was started. In 2014 the patient showed progression in the liver. We continued DC vaccination in shorter intervals and adapted antigen loading (with mRNA coding for an individual GNAQ driver mutation) accompanied by a further cycle of ipilimumab. Therapy resulted in complete remission of liver metastases, but the patient developed new skin metastases. Again the loading of DC was adapted (peptides of passenger mutations predicted after Next-Generation Sequencing) and infusions with pembrolizumab were started. Pathology from some regressing lesions showed a massive T cell infiltration and in parallel GNAQ mutation-specific T cells could be found in the patient’s blood. Skin metastases regressed and the patient is now free of detectable tumor after 65 months. Immune monitoring in the patient’s blood showed a vaccine-induced functional T cell response against the QNAQ-driver mutation. Three of other four patients are also still alive, one in complete remission under DC vaccination in combination with pembrolizumab, two of them showing measurable disease, and one deceased disease related after 28 months, resulting in a median OS of the five patients of 36.4 months. Immune monitoring in one of those patients showed a CD4+ and CD8+ INF-gamma T cell response against the autologous tumor RNA vaccine. No grade 3 or 4 toxicity occurred. Conclusions: The observed prolonged median OS and the fact that 2/5 patients remain disease-free is definitely encouraging. Vaccination immunotherapy with antigen-laden DC is a potential therapeutic option for patients with metastatic uveal melanoma. Combinations with checkpoint inhibitors proved promising, and should be further evaluated in clinical trials.
Dendritic cells (DCs) are professional antigen-presenting cells that induce and regulate adaptive immunity by presenting antigens to T cells. Due to their coordinative role in adaptive immune responses, DCs have been used as cell-based therapeutic vaccination against cancer. The capacity of DCs to induce a therapeutic immune response can be enhanced by re-wiring of cellular signalling pathways with microRNAs (miRNAs). Since the activation and maturation of DCs is controlled by an interconnected signalling network, we deploy an approach that combines RNA sequencing data and systems biology methods to delineate miRNA-based strategies that enhance DC-elicited immune responses.Through RNA sequencing of IKKβ-matured DCs that are currently being tested in a clinical trial on therapeutic anti-cancer vaccination, we identified 44 differentially expressed miRNAs. According to a network analysis, most of these miRNAs regulate targets that are linked to immune pathways, such as cytokine and interleukin signalling. We employed a network topology-oriented scoring model to rank the miRNAs, analysed their impact on immunogenic potency of DCs, and identified dozens of promising miRNA candidates with miR-15a and miR-16 as the top ones. The results of our analysis are incorporated in a database which constitutes a tool to identify DC-relevant miRNA-gene interactions with therapeutic potential (www.synmirapy.net/dc-optimization).
In aggressive solid tumors like melanoma, a strategy for therapy personalization can be achieved by combining high-throughput data on the patient's specific tumor mutation and expression profiles. A remarkable case is dendritic cell-based immunotherapy, where tumor epitopes identified from the patient's specific mutation profiles are loaded on patient-derived mature dendritic cells to stimulate cytotoxic T cell mediated anticancer immunity. Here we present a personalized computational pipeline for the selection of tumor-specific epitopes based on 1) patient specific haplotype; 2) cancer associated mutations; and 3) expression profiles of mutation carrying genes. We applied our workflow to one melanoma patient. Specifically, we analyzed tumor whole exome sequencing and RNA sequencing data to first detect tumor-specific mutations followed by epitope prediction based on the patient's HLA haplotype and filtering of epitopes using expression profile and binding affinity. We performed docking studies to predict the best set of epitopes targeting the patient's alleles. The proposed workflow enables us to find personalized tumor-specific epitopes for stimulating cytotoxic T-cell responses.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.