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The classical HLA-C and the nonclassical HLA-E and HLA-G molecules play important roles both in the innate and adaptive immune system. Starting already during embryogenesis and continuing throughout our lives, these three Ags exert major functions in immune tolerance, defense against infections, and anticancer immune responses. Despite these important roles, identification and characterization of the peptides presented by these molecules has been lacking behind the more abundant HLA-A and HLA-B gene products. In this study, we elucidated the peptide specificities of these HLA molecules using a comprehensive analysis of naturally presented peptides. To that end, the 15 most frequently expressed HLA-C alleles as well as HLA-E*01:01 and HLA-G*01:01 were transfected into lymphoblastoid C1R cells expressing low endogenous HLA. Identification of naturally presented peptides was performed by immunoprecipitation of HLA and subsequent analysis of HLA-bound peptides by liquid chromatographic tandem mass spectrometry. Peptide motifs of HLA-C unveil anchors in position 2 or 3 with high variances between allotypes, and a less variable anchor at the C-terminal end. The previously reported small ligand repertoire of HLA-E was confirmed within our analysis, and we could show that HLA-G combines a large ligand repertoire with distinct features anchoring peptides at positions 3 and 9, supported by an auxiliary anchor in position 1 and preferred residues in positions 2 and 7. The wealth of HLA ligands resulted in prediction matrices for octa-, nona-, and decamers. Matrices were validated in terms of their binding prediction and compared with the latest NetMHC prediction algorithm NetMHCpan-3.0, which demonstrated their predictive power. [ABSTRACT FROM AUTHOR]

Despite recent advances in immunotherapy of renal cell carcinoma (RCC), peptide vaccination strategies still lack an approach for personalized peptide vaccination that takes intra- and inter-tumoral heterogeneity and biological characteristics into account. In this study, we use an immunoprecipitation and mass spectrometry-based approach supplemented by network analysis of HLA ligands to target this goal. By analyzing HLA-presented peptides for HLA class I and II of 11 malignant and 6 non-malignant kidney tissue samples, more than 2,700 peptides and 1,600 corresponding source proteins were identified. A high overlap with HLA ligands derived from peripheral blood mononuclear cells (PBMCs) was detected most likely due to tumor-infiltrating inflammatory cells and therefore excluded from network analysis. Subsequent biological function analysis of HLA ligands by the GeneMANIA online platform showed enrichment for well established, but also novel, pathways and biological processes involved in carcinogenesis of RCC almost exclusively in malignant tissue samples. By exploring source proteins involved in these overrepresented pathways, we verified various known tumor-associated antigens (TAAs) for RCC (e.g., CA9, EGLN3, IGFBP3, MMP7, PAX2, VEGFA, or EGFR) but could also detect novel TAAs for RCC (e.g., PLOD2, LOX, ENPEP, or TGFBI). Some of these new TAAs had already been shown to elicit a T cell response in cancer patients. Thus, network analysis of HLA ligands provided a new platform for implementing personalized, multipeptide vaccines with potentially synergistic antitumor effects. [ABSTRACT FROM PUBLISHER]

The recent approval of clincially effective immune checkpoint inhibitors illustrates the potential of cancer immunotherapy. A challenging task remains the identification of specific targets guiding immunotherapy. Facilitated by technical advances, the direct identification of physiologically relevant targets is enabled by analyzing the HLA ligandome of cancer cells. Since recent publications demonstrate the immunogenicity of ovarian cancer (OvCa), immunotherapies, including peptide-based cancer vaccines, represent a promising treatment approach. To identify vaccine peptides, we employed a combined strategy of HLA ligandomics in high-grade serous OvCa samples and immunogenicity analysis. Only few proteins were naturally presented as HLA ligands on all samples analyzed, including histone deacetylase (HDAC) 1 and 2.In vitropriming of CD8+T cells demonstrated that two HDAC1/2-derived HLA ligands can induce T-cell responses, capable of killing HLA-matched tumor cells. High HDAC1 expression shown by immunohistochemistry in 136 high-grade serous OvCa patients associated with significantly reduced overall survival (OS), whereas patients with high numbers of CD3+tumor-infiltrating lymphocytes (TILs) in the tumor epithelium and CD8+TILs in the tumor stroma showed improved OS. However, correlating HDAC1 expression with TILs, high levels of TILs abrogated the impact of HDAC1 on OS. This study strengthens the role of HDAC1/2 as an important tumor antigen in OvCa, demonstrating its impact on OS in a large cohort of OvCa patients. We further identified two immunogenic HDAC1-derived peptides, which frequently induce multi-functional T-cell responses in many donors, suitable for future multi-peptide vaccine trials in OvCa patients. [ABSTRACT FROM AUTHOR]

The article presents the study that explores on the community-based efforts in developing robust platform that will be used in the quantitative and reproducible measurement of peptides that are presented by the human leukocyte antigen (HLA) in Switzerland.

Background: Although mutated HLA ligands are considered ideal cancer-specific immunotherapy targets, evidence for their presentation is lacking in hepatocellular carcinomas (HCCs). Employing a unique multi-omics approach comprising a neoepitope identification pipeline, we assessed exome-derived mutations naturally presented as HLA class I ligands in HCCs. Methods: In-depth multi-omics analyses included whole exome and transcriptome sequencing to define individual patient-specific search spaces of neoepitope candidates. Evidence for the natural presentation of mutated HLA ligands was investigated through an in silico pipeline integrating proteome and HLA ligandome profiling data. Results: The approach was successfully validated in a state-of-the-art dataset from malignant melanoma, and despite multi-omics evidence for somatic mutations, mutated naturally presented HLA ligands remained elusive in HCCs. An analysis of extensive cancer datasets confirmed fundamental differences of tumor mutational burden in HCC and malignant melanoma, challenging the notion that exome-derived mutations contribute relevantly to the expectable neoepitope pool in malignancies with only few mutations. Conclusions: This study suggests that exome-derived mutated HLA ligands appear to be rarely presented in HCCs, inter alia resulting from a low mutational burden as compared to other malignancies such as malignant melanoma. Our results therefore demand widening the target scope for personalized immunotherapy beyond this limited range of mutated neoepitopes, particularly for malignancies with similar or lower mutational burden. [ABSTRACT FROM AUTHOR]

Genome sequencing has uncovered an array of recurring somatic mutations in different non-Hodgkin lymphoma (NHL) subtypes. If affecting protein-coding regions, such mutations may yield mutation-derived peptides that may be presented by HLA class I proteins and recognized by cytotoxic T cells. A recurring somatic and oncogenic driver mutation of the Toll-like receptor adaptor proteinMYD88, Leu265Pro (L265P) was identified in up to 90% of different NHL subtype patients. We therefore screened the potential ofMYD88L265P-derived peptides to elicit cytotoxic T cell responses as tumor-specific neoantigens. Based onin silicopredictions, we identified potentialMYD88L265P-containing HLA ligands for several HLA class I restrictions. A set of HLA class IMYD88L265P-derived ligands elicited specific cytotoxic T cell responses for HLA-B*07 and -B*15. These data highlight the potential ofMYD88L265Pmutation-specific peptide-based immunotherapy as a novel personalized treatment approach for patients withMYD88L265P+NHLs that may complement pharmacological approaches targeting oncogenic MyD88 L265P signaling. [ABSTRACT FROM AUTHOR]