A T-cell antigen atlas for meningioma: novel options for immunotherapy.

Meningiomas are the most common primary intracranial tumors. Although most symptomatic cases can be managed by surgery and/or radiotherapy, a relevant number of patients experience an unfavorable clinical course and additional treatment options are needed. As meningiomas are often perfused by dural branches of the external carotid artery, which is located outside the blood-brain barrier, they might be an accessible target for immunotherapy. However, the landscape of naturally presented tumor antigens in meningioma is unknown. We here provide a T-cell antigen atlas for meningioma by in-depth profiling of the naturally presented immunopeptidome using LC-MS/MS. Candidate target antigens were selected based on a comparative approach using an extensive immunopeptidome data set of normal tissues. Meningioma-exclusive antigens for HLA class I and II are described here for the first time. Top-ranking targets were further functionally characterized by showing their immunogenicity through in vitro T-cell priming assays. Thus, we provide an atlas of meningioma T-cell antigens which will be publicly available for further research. In addition, we have identified novel actionable targets that warrant further investigation as an immunotherapy option for meningioma.

Mapping the tumour human leukocyte antigen (HLA) ligandome by mass spectrometry.

The entirety of human leukocyte antigen (HLA)-presented peptides is referred to as the HLA ligandome of a cell or tissue, in tumours often termed immunopeptidome. Mapping the tumour immunopeptidome by mass spectrometry (MS) comprehensively views the pathophysiologically relevant antigenic signature of human malignancies. MS is an unbiased approach stringently filtering the candidates to be tested as opposed to epitope prediction algorithms. In the setting of peptide-specific immunotherapies, MS-based strategies significantly diminish the risk of lacking clinical benefit, as they yield highly enriched amounts of truly presented peptides. Early immunopeptidomic efforts were severely limited by technical sensitivity and manual spectra interpretation. The technological progress with development of orbitrap mass analysers and enhanced chromatographic performance led to vast improvements in mass accuracy, sensitivity, resolution, and speed. Concomitantly, bioinformatic tools were developed to process MS data, integrate sequencing results, and deconvolute multi-allelic datasets. This enabled the immense advancement of tumour immunopeptidomics. Studying the HLA-presented peptide repertoire bears high potential for both answering basic scientific questions and translational application. Mapping the tumour HLA ligandome has started to significantly contribute to target identification for the design of peptide-specific cancer immunotherapies in clinical trials and compassionate need treatments. In contrast to prediction algorithms, rare HLA allotypes and HLA class II can be adequately addressed when choosing MS-guided target identification platforms. Herein, we review the identification of tumour HLA ligands focusing on sources, methods, bioinformatic data analysis, translational application, and provide an outlook on future developments.

The natural HLA ligandome of glioblastoma stem-like cells: antigen discovery for T cell-based immunotherapy.

Glioblastoma is the most frequent malignant primary brain tumor. In a hierarchical tumor model, glioblastoma stem-like cells (GSC) play a major role in tumor initiation and maintenance as well as in therapy resistance and recurrence. Thus, targeting this cellular subset may be key to effective immunotherapy. Here, we present a mass spectrometry-based analysis of HLA-presented peptidomes of GSC and glioblastoma patient specimens. Based on the analysis of patient samples (n = 9) and GSC (n = 3), we performed comparative HLA peptidome profiling against a dataset of normal human tissues. Using this immunopeptidome-centric approach we could clearly delineate a subset of naturally presented, GSC-associated HLA ligands, which might serve as highly specific targets for T cell-based immunotherapy. In total, we identified 17 antigens represented by 41 different HLA ligands showing natural and exclusive presentation both on GSC and patient samples. Importantly, in vitro immunogenicity and antigen-specific target cell killing assays suggest these peptides to be epitopes of functional CD8+ T cell responses, thus rendering them prime candidates for antigen-specific immunotherapy of glioblastoma.

The impact of KIR-HLA genotype on hepatitis B virus clearance in Iranian infected individuals.

Killer cell immunoglobulin like receptors (KIRs) have a principal role in regulating the effector functions of NK cells, particularly in viral infections. The major ligands for KIRs are human leukocyte antigen (HLA) class I molecules. The aim of this study is to investigate the possible association of KIR genes, their known HLA ligands and compound KIR-HLA genotypes with hepatitis B virus (HBV) infection. Our study group consisted of 202 Iranian HBV-infected patients (52 spontaneously recovered, 50 asymptomatic carriers, 50 chronic sufferers and 50with liver cirrhosis) and 100 ethnic-matched healthy control subjects. KIR and HLA genotyping was performed by a polymerase chain reaction-sequence-specific primer (PCR-SSP). The frequencies of the KIR2DL5A, KIR2DS1, and KIR3DS1 genes were significantly elevated in recovered individuals when compared with both control and patient groups. Also, KIR2DL5, and KIR3DP1 full were escalated in recovered individuals in comparison with patient groups. In addition, HLA-Bw4 ligand and HLA-A Bw4 were highly frequent in recovered individuals compared with healthy controls. Furthermore, the KIR3DS1 + HLA-Bw4, KIR3DS1 + HLA-Bw4 Iso80 , and KIR3DS1 + HLA-A Bw4 genotypes were significantly more common in recovered individuals than both healthy control and patient groups. Interestingly, AA genotype had less frequency and Bx had higher frequency in recovered individuals compared with both healthy control and patient groups. Our findings suggest a potential impact of the NK cells' activating phenotype that leads to the HBV clearance in infected individuals.

Gene and protein sequence features augment HLA class I ligand predictions.

The sensitivity of malignant tissues to T cell-based immunotherapies depends on the presence of targetable human leukocyte antigen (HLA) class I ligands. Peptide-intrinsic factors, such as HLA class I affinity and proteasomal processing, have been established as determinants of HLA ligand presentation. However, the role of gene and protein sequence features as determinants of epitope presentation has not been systematically evaluated. We perform HLA ligandome mass spectrometry to evaluate the contribution of 7,135 gene and protein sequence features to HLA sampling. This analysis reveals that a number of predicted modifiers of mRNA and protein abundance and turnover, including predicted mRNA methylation and protein ubiquitination sites, inform on the presence of HLA ligands. Importantly, integration of such "hard-coded" sequence features into a machine learning approach augments HLA ligand predictions to a comparable degree as experimental measures of gene expression. Our study highlights the value of gene and protein features for HLA ligand predictions.

KIR- Ligand Interactions in Hypertensive Disorders in Pregnancy.

Hypothesis: The activity of natural killer (NK) cells is considered an important factor for the tolerance of the fetus during pregnancy. The complications of pregnancy, such as hypertensive disorders (HDP), may be therefore associated with this immune compartment. Methods: The current study included 41 pregnant women diagnosed with HDPs (Gestational Hypertension; GH or Preeclampsia; PE) and 21 healthy women. All the patients were under continuous obstetric care during the pregnancy and labour. The number of mother-child mismatches within killer immunoglobulin-like receptors (KIRs), their ligands [MM], and missing KIR ligands [MSLs] was assessed. KIRs and their ligands were assessed with Next Generation Sequencing (NGS) and Polymerase Chain Reaction Sequence-Specific Oligonucleotide (PCR-SSO) typing. The subsets of NK cells were assessed with multicolor flow cytometry and correlated to the number of MSLs. Results: The number of MSLs was significantly higher in HDP patients when compared to healthy non-complicated pregnancy patients. Some MSLs, such as those with 2DS2 activating KIR, were present only in HDP patients. The percentage of CD56+CD16-CD94+ NK cells and CD56+CD16-CD279+ NK cells correlated with the number of MSLs with inhibiting KIRs only in healthy patients. In HDP patients, there was a correlation between the percentage of CD56-CD16+CD69+ NK cells and the number of MSLs with inhibiting and activating KIRs. As compared to the healthy group, the percentage of CD56+CD16-CD279+ NK cells and CD56-CD16+CD279+ NK cells were lower in HDP patients. HDP patients were also characterized by a higher percentage of CD56+CD16+perforin+ NK cells than their healthy counterparts. Conclusions: Patients with HDP were characterized by a higher number of MSLs within the KIRs receptors. It seemed that the number of MSLs in the healthy group was balanced by various receptors, such as CD94 or inhibitory CD279, expressed on NK cells. Conversely, in HDP patients the number of MSLs was associated with the activation detected as the increased level of CD69+ NK cells.

Inhibitory KIR2DL2 Gene: Risk for Deep Endometriosis in Euro-descendants.

Endometriosis (EDT) is an inflammatory disease characterized by implantation/growth of endometrial tissue, glands, and/or stroma, outside the uterus. Reduced NK cell cytotoxic activity has been implicated in its pathogenesis, together with other immunologic alterations. We investigated the influence of KIR gene polymorphisms and their HLA ligand combinations in deep endometriosis (DE) susceptibility. One hundred sixty women with a histological diagnosis of DE and 202 control women without the disease, who underwent laparoscopy, were enrolled. The DE group was subdivided into initial (I/II; n = 60) and advanced stages (III/IV, n = 100). KIR and HLA class I gene polymorphisms were typed by PCR-SSP and sequence-based-typing (SBT), respectively. We observed a significant association of KIR2DL2, an inhibitory gene of B haplotype, conferring risk for DE in Euro-descendants. Positive associations of Bx haplotype and centromeric AB segments were also found. However, no association with KIR-HLA ligand combination was observed. Our data suggest KIR2DL2 gene to be a relevant factor favoring NK inhibition in DE in Euro-descendants, contributing to the defective NK cytotoxic activity and impaired clearance of ectopic endometrial cells in the disease.

Analysis of killer cell immunoglobulin-like receptors (KIRs) and their HLA ligand genes polymorphisms in Iranian patients with systemic sclerosis.

Genetic factors have a great role in the pathogenesis of autoimmune diseases by cooperating with environmental stimuli. Killer immunoglobulin-like receptors (KIRs) are cell surface proteins on NK cells whose association with major histocompatibility complex-I regulates their killing function. The aim of this study was to provide information on the possible association between KIR and human leukocyte antigen (HLA) genes with systemic sclerosis disease in Iranian population. A total of 279 systemic sclerosis patients and 451 healthy controls were enrolled in this case-control study in order to determine the presence or absence of 19 KIR genes and 6 specific HLA class I ligands. DNA was analyzed by polymerase chain reaction using the specific sequence primer method (PCR-SSP). Among 11 discovered KIR genotypes, 6 genotypes showed a considerable role and 4 genotypes could preclude the risk of systemic sclerosis (SSc) disease. The gene-gene interactions were also analyzed, and significant confounding effects were seen between involved genes in these two combinations: "KIR3DL1; HLA-BW4-Thr80" and "KIR3DL1 -HLA-BW4-A1." None of single KIR genes showed significant effect on the risk of SSc. We conclude that there is an important relationship between KIR genes and their HLA ligands with incidence rate of systemic sclerosis in Iranian population. The powerful role of a number of discovered KIR/HLA compounds such as activating KIR genotype 3 and HLA-BW4-A1 confirmed the provocative hypothesis of the interplay between activating or inhibitory KIR genes with HLA ligands as a critical index of systemic sclerosis predisposition.

Genetic profiles of killer-cell immunoglobulin-like receptors and HLA ligands in Thai blood donors.

Killer-cell immunoglobulin-like receptors (KIRs) play an important role in natural killer (NK) cell regulation. Interaction of KIRs with human leukocyte antigen (HLA) class I molecules can transmit signals to regulate the function of NK cells. In this study, the diversities of KIR genes and their ligands in 500 Thai blood donors were investigated. The coexistence of inhibitory KIRs (iKIR), activating KIRs (aKIR) and their ligands in the same individuals were also analyzed. Overall, 36 KIR genotypes were identified. The most common genotype was genotype AA1 (40.8%). All individuals carried at least one iKIR-HLA pair whereas 18% of the individuals lacked aKIR-HLA pair. The most common compound KIR-HLA profile was the presence of 3 iKIR-HLA pairs with 1 aKIR-HLA pair (21.4%). The most common compound gene profile of KIR-HLA pairs was the combined presence of KIR2DL3-C1, 3DL1-Bw4, 3DL2-A3/A11 and the full length KIR2DS4-its ligands (8%). This study provided a comprehensive analysis of the KIR-HLA profiles in Thai blood donors in regards to KIR genotypes, HLA ligands, KIR-HLA ligand pairs and compound gene profiles of both iKIRs and aKIRs and their ligands. These findings will be useful as baseline information for further studies in the associations of KIR genes and various diseases.

The effect of missing KIR ligands, activating KIR genotype and haplotype on the outcome of T-cell-replete hematopoietic stem cell transplantation from HLA-identical siblings in Thai patients.

This study was a retrospective analysis of Thai patients undergoing T-replete hematopoietic stem cell transplant from human leukocyte antigen (HLA)-identical sibling donors. We investigated 66 patients, including 40 patients with acute myeloid leukemia (AML), 12 patients with acute lymphoblastic leukemia and 14 patients with chronic myeloid leukemia. Killer cell immunoglobulin-like receptor (KIR) genes and HLA ligands were typed by polymerase chain reaction-sequence specific oligonucleotide probes. We analyzed the effect of the number of missing KIR ligands (Bw4, C1 and C2) on clinical outcomes. A beneficial effect of missing KIR ligand was not observed in both univariate and multivariate analysis. When we analyzed the effect of specific missing KIR ligand on clinical outcomes, there was a trend that patients with missing A11 ligand had lower relapse rate (P = 0.076). Therefore, we also conducted the analysis by including the group with missing KIR ligands of Bw4, C1, C2 and A11. Patients with two or more than two missing KIR ligands had a trend for better clinical outcome including reduced relapse (P = 055) and statistically significant in terms of reduced acute graft-vs-host disease (aGVHD) rate (P = 0.013). In multivariate analysis, patients with two or more than two missing KIR ligands had a statistically significant better clinical outcome in terms of reduced aGVHD rate (HR = 0.155, 95%CI = 0.040-0.605, P = 0.007). The association between clinical outcome with KIR haplotypes, centromeric B haplotype and activating KIR was not observed here. Although the sample size in this study is rather limited, these data can later be subjected to meta-analysis to help reach the conclusion of the usefulness of this additional promising KIR genotyping in various hematopoietic stem cell transplantation types.

Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV.

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) belongs to the coronaviridae family. In spite of several outbreaks in the very recent years, no vaccine against this deadly virus is developed yet. In this study, the receptor binding domain (RBD) of Spike (S) glycoprotein of MERS-CoV was analyzed through Computational Immunology approach to identify the antigenic determinants (epitopes). In order to do so, the sequences of S glycoprotein that belong to different geographical regions were aligned to observe the conservancy of MERS-CoV RBD. The immune parameters of this region were determined using different in silico tools and Immune Epitope Database (IEDB). Molecular docking study was also employed to check the affinity of the potential epitope towards the binding cleft of the specific HLA allele. The N-terminus RBD (S367-S606) of S glycoprotein was found to be conserved among all the available strains of MERS-CoV. Based on the lower IC50 value, a total of eight potential T-cell epitopes and 19 major histocompatibility complex (MHC) class-I alleles were identified for this conserved region. A 9-mer epitope CYSSLILDY displayed interactions with the maximum number of MHC class-I molecules and projected the highest peak in the B-cell antigenicity plot which concludes that it could be a better choice for designing an epitope based peptide vaccine against MERSCoV considering that it must undergo further in vitro and in vivo experiments. Moreover, in molecular docking study, this epitope was found to have a significant binding affinity of -8.5 kcal/mol towards the binding cleft of the HLA-C*12:03 molecule.