Human Leukocyte Antigen Peptidome Research Articles

Soluble HLA peptidome: A new resource for cancer biomarkers.

Using circulating molecular biomarkers to screen for cancer and other debilitating disorders in a high-throughput and low-cost fashion is becoming increasingly attractive in medicine. One major limitation of investigating protein biomarkers in body fluids is that only one-fourth of the entire proteome can be routinely detected in these fluids. In contrast, Human Leukocyte Antigen (HLA) presents peptides from the entire proteome on the cell surface. While peptide-HLA complexes are predominantly membrane-bound, a fraction of HLA molecules is released into body fluids which is referred to as soluble HLAs (sHLAs). As such peptides bound by sHLA molecules represent the entire proteome of their cells/tissues of origin and more importantly, recent advances in mass spectrometry-based technologies have allowed for accurate determination of these peptides. In this perspective, we discuss the current understanding of sHLA-peptide complexes in the context of cancer, and their potential as a novel, relatively untapped repertoire for cancer biomarkers. We also review the currently available tools to detect and quantify these circulating biomarkers, and we discuss the challenges and future perspectives of implementing sHLA biomarkers in a clinical setting.

Profiling SARS-CoV-2 HLA-I peptidome reveals T cell epitopes from out-of-frame ORFs

T cell-mediated immunity plays an important role in controlling SARS-CoV-2 infection, but the repertoire of naturally processed and presented viral epitopes on class I human leukocyte antigen (HLA-I) remains uncharacterized. Here, we report the first HLA-I immunopeptidome of SARS-CoV-2 in two cell lines at different times post infection using mass spectrometry. We found HLA-I peptides derived not only from canonical open reading frames (ORFs) but also from internal out-of-frame ORFs in spike and nucleocapsid not captured by current vaccines. Some peptides from out-of-frame ORFs elicited T cell responses in a humanized mouse model and individuals with COVID-19 that exceeded responses to canonical peptides, including some of the strongest epitopes reported to date. Whole-proteome analysis of infected cells revealed that early expressed viral proteins contribute more to HLA-I presentation and immunogenicity. These biological insights, as well as the discovery of out-of-frame ORF epitopes, will facilitate selection of peptides for immune monitoring and vaccine development.

Identification of Tumor Antigens in the HLA Peptidome of Patient-derived Xenograft Tumors in Mouse

Personalized cancer immunotherapy targeting patient-specific cancer/testis antigens (CTA) and neoantigens may benefit from large-scale tumor human leukocyte antigen (HLA) peptidome (immunopeptidome) analysis, which aims to accurately identify antigens presented by tumor cells. Although significant efforts have been invested in analyzing the HLA peptidomes of fresh tumors, it is often impossible to obtain sufficient volumes of tumor tissues for comprehensive HLA peptidome characterization. This work attempted to overcome some of these obstacles by using patient-derived xenograft tumors (PDX) in mice as the tissue sources for HLA peptidome analysis. PDX tumors provide a proxy for the expansion of the patient tumor by re-grafting them through several passages to immune-compromised mice. The HLA peptidomes of human biopsies were compared with those derived from PDX tumors. Larger HLA peptidomes were obtained from the significantly larger PDX tumors as compared with the patient biopsies. The HLA peptidomes of different PDX tumors derived from the same source tumor biopsy were very reproducible, even following subsequent passages to new naïve mice. Many CTA-derived HLA peptides were discovered, as well as several potential neoantigens/variant sequences. Taken together, the use of PDX tumors for HLA peptidome analysis serves as a highly expandable and stable source of reproducible and authentic peptidomes, opening up new opportunities for defining large HLA peptidomes when only small tumor biopsies are available. This approach provides a large source for tumor antigens identification, potentially useful for personalized immunotherapy.

Abstract 3383: EPIC: MHC-I epitope prediction integrating mass spectrometry derived motifs and tissue-specific expression profiles

Abstract Background: Accurate prediction of epitopes presented by human leukocyte antigen (HLA) is crucial for personalized cancer immunotherapies targeting T cell epitopes. Mass spectrometry (MS)profiling of eluted HLA ligands, which provides unbiased, high-throughput measurements of HLA associated peptides resulting from in vivo cellular processing, can be a highly valuable training set to build predictive models of HLA binding. In addition, gene expression profiles measured by RNA-seq data in a specific cell type could significantly improve the positive predictive value (PPV) of epitope presentation prediction. Although large amount of high-quality mass spectrometry data of HLA-bound peptides is being generated in the last few years, few of them provide matching RNA-seq data, which makes incorporating gene expression into epitope prediction difficult. Here, we aim to develop a publicly available prediction tool incorporating both sources of information, and demonstrate its superior performance over existing methods. Methods: We obtained public HLA peptidome datasets with matching RNA-seq data of twelve cell lines derived from multiple tissues. We used these MS HLA ligand data to build Position Score Specific Matrixes (PSSMs) for five HLA-I alleles across these cell lines. We then used logistic regression to model the relationship among PSSM score, gene expression, peptide length distribution and whether the peptide could be presented in each of the twelve cell lines, and compared the feature weights among them. Results: We found that the feature weights across different HLA-I alleles and cell lines were close to each other, suggesting that there is a universal relationship between PSSM score and gene expression across different cell lines that could be applied to epitope presentation prediction for multiple alleles in diverse tissues. When we replaced the cell-line-specific weights with universal weights summarized from all the cell lines, the logistic regression model’s predicted power for each cell line only dropped slightly and still substantially outperformed predictions based on PSSM scores alone. Based on such a finding, we applied the universal feature weights to more than 180,000 unique HLA ligands collected from public HLA peptidomics datasets, and presented an Epitope Presentation Integrated prediCtion (EPIC) model for 66 HLA alleles. EPIC was substantially better than other popular methods, including MixMHCpred, NetMHCpan (v4.0), and MHCflurry, when evaluated on independent HLA eluted ligand datasets, with an average 0.1%PPV of 53.58%, compared to 40.50%, 40.20%, 29.81%, and 25.57% achieved by MixMHCpred, NetMHCpan (EL), NetMHCpan (BA), and MHCflurry, respectively. Conclusion: By integrating MS and expression data, EPIC is superior to currently available methods in predicting epitope presentation for the 66 common HLA alleles that our models were built on. Citation Format: Weipeng Hu, Si Qiu, Youping Li, Geng Liu, Xiuqing Zhang, Leo J Lee. EPIC: MHC-I epitope prediction integrating mass spectrometry derived motifs and tissue-specific expression profiles [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3383.

Plasma Soluble HLA-Bound Peptides Derived from Acute Myeloid Leukemia Patients during Induction May Predict Individual Response to Therapy

Introduction: Human leukocyte antigen (HLA) molecules are membrane-bound transporters carrying peptides from the cytoplasm to the cell surface where they become exposed to T lymphocytes. Soluble HLA molecules (sHLA) bound to their specific peptides are present in human plasma. Patient-based evidence that most of these peptides are derived from cancerous cells may lead to the identification of cancer-related sHLA peptidomes in the disease state. Leukemic cells in the bone marrow (BM) are usually composed of several malignant subclones even within the same patient. These leukemic subclones may vary in their sensitivity to chemotherapy. During the first days of chemotherapy, a dynamic change in the blast mass and subclonal cell composition is observed. We have thus hypothesized that the repertoire and amount of peptides bound to sHLA molecules derived from the BM plasma of acute myeloid leukemia (AML) patients will be changing during induction. Our study has aimed at identifying peptides derived from resistant subclones, assuming that they could represent potential immunogenic targets specific to these leukemic cells. Particular focus has been made on the peptides common among multiple AML patients.Methods: Mononuclear cells and plasma fractions obtained from AML patients at diagnosis (day 1), during induction chemotherapy (day 5) and on day 14 of induction were studied. HLA molecules loaded with peptides were purified using pretreated pan HLA-A, B and C monoclonal antibody W6/32 TopTip column, and sHLA class I molecules with their bound peptides were eluted with tri-fluoracetic acid. The eluted fraction containing sHLA was separated from its peptides on C18 Micro TipColumn with acetonitrile. The peptide fraction was then examined using liquid chromatography coupled with mass spectrometry (LC-MS/MS). Based on the LC-MS analysis, we excluded peptides longer than 15 amino-acids and shorter than 8 amino-acids, peptides known as contaminators and peptides highly expressed by healthy donors. Immunogenicity of the identified candidate peptides was evaluated by ɣ-IFN Elispot assay.Results: The total amount of sHLA-bound peptides in sequential BM plasma samples of 11 patients was significantly decreased at nadir (day 14) compared to diagnosis or day 5 samples (3 and 1.33 fold, respectively). About 17 percent (16.9%) of the peptides identified on day 5 of induction were not present at diagnosis. These peptides originate from the proteins known to be involved in cell proliferation, migration, death, cycle control, metastasis promotion, DNA damage, or mitochondria processes, and could thus reflect chemotherapy-induced effects. On day 14, 75% of identified peptides were similar to those observed on days 1 and 5, representing cancer-derived peptides expressed by leukemic cells that survived the first days of therapy.Analysis of whole peptidome sequences was performed in the plasma specimens obtained from 8 healthy donors (HLA A02) and collected at the above 3 time points from 11 patients (4 HLA A02, 5 HLA A01, 2 HLA A68). Three major peptides were found to be common across the tested patient samples. The peptide originating from GUCY1B3 protein was solely detected in 10 patients and in none of the healthy donors; one peptide derived from ETS1 protein and one peptide cut from STAG1 protein were identified in 7 and 6 patient samples, respectively, as well as in one healthy donor. Immunogenicity of the 3 peptides was examined against T lymphocytes derived from 5 AML patients (HLA 02) in remission. High T cell reactivity was confirmed in the peptide derived from GUCY1B3 protein. Additionally, similarities between membranal HLA (mHLA) and plasma sHLA peptidomes derived from the same patient were observed (87.7%) (n=3, HLA A01).Conclusions: The requirement of a large number of cells, limiting the application of membranal HLA peptidome analysis could be overcome using sHLA-bound peptides from the BM plasma. Plasma sHLA-originating peptides, detectable by a simple blood test, may serve as potential biomarkers of response to treatment or as targets for immunotherapy. Such peptides derived from resistant subclones during induction chemotherapy could be used to stimulate T cell clones in a peptide-restricted HLA manner and thus act as a personalized immunotherapy adjuvant in AML. DisclosuresOfran:Novartis: Other: Served on a Novartis advisory board.

The HLA Ligandome Landscape of Chronic Myeloid Leukemia Delineates Novel T-Cell Epitopes for Immunotherapy

Chronic myeloid leukemia (CML) is characterized by the translocation t(9;22), which leads to the formation of the BCR-ABL fusion transcript. Several approved tyrosine kinase inhibitors (TKIs) target the resulting fusion protein, leading to an improved prognosis of CML patients. Currently, the main treatment goal is the achievement of a deep molecular response (MR), in which TKI therapy can be terminated. Several studies provide evidence that immunological control plays a major role for the course of CML and contributes to the achievement of deep MR in CML patients under TKI treatment (CMLTKI). This implies that reinforcing these immune responses might sustain long-term TKI-free survival or even cure for CML patients. Besides unspecific immunotherapy, such as interferon or immune checkpoint blocking antibodies, a more specific and minor side effect targeting of CML cells might be achieved by antigen-specific immunotherapy approaches. The prerequisite for such strategies is the identification of T-cell targets represented by tumor-associated human leukocyte antigen (HLA)-presented peptides on malignant cells.In this study, we used a mass spectrometry-based approach to identify naturally presented, CML-associated peptides in primary CML samples (HLA class I, n=21, 11,945 peptides, 5,478 source proteins; class II, n=20, 5,991 peptides, 1,302 proteins). Comparative HLA peptidome profiling using a comprehensive dataset of various benign tissues (e.g. blood, bone marrow, spleen, and lung) revealed frequently presented and strictly CML-associated antigens. In detail, the benign tissue dataset comprises hematological benign samples (class I, n=108, 51,233 peptides, 11,437 proteins; class II, n=88, 42,753 peptides, 4,877 proteins) and non-hematological benign tissues (28 tissues, n=166; class I, 128,590 peptides, 16,405 proteins; class II, 143,652 peptides, 13,410 proteins). We identified 50 CML-associated, HLA class I-restricted peptides with HLA allotype adjusted representation frequencies of ≥38% presented on HLA-A*02, -A*03, -A*11, and -B*07. HLA class II comparative profiling delineated 36 peptides exclusively and frequently presented in the HLA peptidome of ≥20% analyzed CML patients.For immunological characterization, we selected 8 HLA class I- and 6 class II-restricted highly CML-associated antigens. These peptides were analyzed in IFNγ ELISPOT assays using PBMCs from CMLTKI patients and healthy volunteers (HVs). Peptide-specific immune recognition was detected for 1/8 (13%) HLA class I peptides in 2/17 (12%) of CMLTKI patients. We hypothesized that this weak immune response might be due to an impaired CD8+ T cell function that reportedly is caused by TKI treatment. Thus, we compared T-cell responses against viral epitopes in IFNγ ELISPOT assays of CMLTKI patients with that of HVs and chronic lymphocytic leukemia (CLL) patients: in line with our hypothesis, we observed significantly reduced IFNγ release of T cells from CMLTKI patients compared to HVs and CLL patients (p<0.001), whereas CD8+ T-cell counts were not reduced. In contrast, no reduced IFNγ production was observed for HLA class II-restricted viral epitopes. These results were confirmed by memory T-cell responses detected for 6/6 (100%) HLA class II CML-associated peptides with frequencies up to 24% (4/17) of analyzed CMLTKI patients.To assess the immunogenicity of all HLA class I peptides, we performed in vitro artificial antigen presenting cell-based priming experiments using CD8+ T cells of HVs and CML patients. Effective priming of T cells was observed for 8/8 CML-associated peptides in ≥70% of analyzed HVs with frequencies of 0.1-33.9% (mean 2.2%) of CD8+ peptide-specific T cells. Notably, peptide-specific CD8+ T cells with frequencies of 0.1-2.2% (mean 0.4%) could also be induced in samples of CMLTKI patients that had not displayed preexisting immune responses. For 6/8 peptides, we observed multifunctionality of peptide-specific T cells by IFNγ and TNF production as well as upregulation of the degranulation marker CD107a. Cytotoxicity assays with polyclonal peptide-specific effector T cells confirmed the capacity to induce antigen-specific lysis for 3/4 analyzed peptides.Taken together, we here identified novel, naturally presented, CML-associated antigens and validated them as promising targets for tailored T cell-based immunotherapeutic approaches for CML patients. DisclosuresSalih:Several patent applications: Patents & Royalties: e.g. EP3064507A1. Kowalewski:Immatics Biotechnologies GmbH: Employment. Schuster:Immatics Biotechnologies GmbH: Employment. Brümmendorf:Pfizer: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Janssen: Consultancy; Merck: Consultancy; Takeda: Consultancy. Niederwieser:Miltenyi: Speakers Bureau; Novartis: Research Funding.

CD74 regulates complexity of tumor cell HLA class II peptidome in brain metastasis and is a positive prognostic marker for patient survival

Despite multidisciplinary local and systemic therapeutic approaches, the prognosis for most patients with brain metastases is still dismal. The role of adaptive and innate anti-tumor response including the Human Leukocyte Antigen (HLA) machinery of antigen presentation is still unclear. We present data on the HLA class II-chaperone molecule CD74 in brain metastases and its impact on the HLA peptidome complexity.We analyzed CD74 and HLA class II expression on tumor cells in a subset of 236 human brain metastases, primary tumors and peripheral metastases of different entities in association with clinical data including overall survival. Additionally, we assessed whole DNA methylome profiles including CD74 promoter methylation and differential methylation in 21 brain metastases. We analyzed the effects of a siRNA mediated CD74 knockdown on HLA-expression and HLA peptidome composition in a brain metastatic melanoma cell line.We observed that CD74 expression on tumor cells is a strong positive prognostic marker in brain metastasis patients and positively associated with tumor-infiltrating T-lymphocytes (TILs). Whole DNA methylome analysis suggested that CD74 tumor cell expression might be regulated epigenetically via CD74 promoter methylation. CD74high and TILhigh tumors displayed a differential DNA methylation pattern with highest enrichment scores for antigen processing and presentation. Furthermore, CD74 knockdown in vitro lead to a reduction of HLA class II peptidome complexity, while HLA class I peptidome remained unaffected.In summary, our results demonstrate that a functional HLA class II processing machinery in brain metastatic tumor cells, reflected by a high expression of CD74 and a complex tumor cell HLA peptidome, seems to be crucial for better patient prognosis.

Data-Independent Acquisition of HLA Class I Peptidomes on the Q Exactive Mass Spectrometer Platform.

The characterization of peptides presented by human leukocyte antigen (HLA) class I molecules is crucial for understanding immune processes, biomarker discovery, and the development of novel immunotherapies or vaccines. Mass spectrometry allows the direct identification of thousands of HLA-bound peptides from cell lines, blood, or tissue. In recent years, data-independent acquisition (DIA) mass spectrometry methods have evolved, promising to increase reproducibility and sensitivity over classical data-dependent acquisition (DDA) workflows. Here, we describe a DIA setup on the Q Exactive mass spectrometer, optimized regarding the unique properties of HLA class I peptides. The methodology enables sensitive and highly reproducible characterization of HLA peptidomes from individual cell lines. From up to 16 DDA analyses of 100 million human cells, more than 10000 peptides could be confidently identified, serving as basis for the generation of spectral libraries. This knowledge enabled the subsequent interrogation of DIA data, leading to the identification of peptide sets with >90% overlap between replicate samples, a prerequisite for the comparative study of closely related specimens. Furthermore, >3000 peptides could be identified from just one million cells after DIA analysis using a library generated from 300 million cells. The reduction in sample quantity and the high reproducibility of DIA-based HLA peptidome analysis should facilitate personalized medicine applications.

Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction

Identification of human leukocyte antigen (HLA)-bound peptides by liquid chromatography-tandem mass spectrometry (LC-MS/MS) is poised to provide a deep understanding of rules underlying antigen presentation. However, a key obstacle is the ambiguity that arises from the co-expression of multiple HLA alleles. Here, we have implemented a scalable mono-allelic strategy for profiling the HLA peptidome. By using cell lines expressing a single HLA allele, optimizing immunopurifications, and developing an application-specific spectral search algorithm, we identified thousands of peptides bound to 16 different HLA class I alleles. These data enabled the discovery of subdominant binding motifs and an integrative analysis quantifying the contribution of factors critical to epitope presentation, such as protein cleavage and gene expression. We trained neural-network prediction algorithms with our large dataset (>24,000 peptides) and outperformed algorithms trained on datasets of peptides with measured affinities. We thus demonstrate a strategy for systematically learning the rules of endogenous antigen presentation.

Mass spectrometric analysis of the HLA class I peptidome of melanoma cell lines as a promising tool for the identification of putative tumor-associated HLA epitopes.

Melanoma is one of the most immunogenic tumors, and extensive lists of potential tumor rejection antigens have been collected during the last decades. By isolating human leukocyte antigen (HLA) class I complexes from five melanoma cell lines (FM-82, FM-93/2, Mel-624, MeWo and SK-Mel-5) and sequencing HLA-eluted peptides by mass spectrometry, we identified over 10,000 unique peptides with high confidence. The majority of the peptides were 8-11 amino acids in length and were predicted to bind to the respective HLA alleles. Over 250 epitopes, corresponding to previously described tumor-associated antigens, were identified, suggesting that HLA peptidome analysis may facilitate the characterization of putative tumor rejection antigens. MeWo and SK-Mel-5 cell lines were further interrogated for neo-epitopes, revealing one peptide from MeWo cells carrying an amino acid mutation. We also observed a remarkable overlap between A*03:01 peptides eluted from Mel-624 cells and A*03:01 peptides recovered from soluble HLA complexes purified from two melanoma patients, shedding light on the similarity of the HLA peptidome in cell lines and in patient-derived material. The reliable characterization of the HLA class I peptidome in melanoma promises to facilitate the identification of tumor rejection antigens and the development of immunotherapeutic strategies.

Human Leukocyte Antigen (HLA) Peptides Derived from Tumor Antigens Induced by Inhibition of DNA Methylation for Development of Drug-facilitated Immunotherapy

Treatment of cancer cells with anticancer drugs often fails to achieve complete remission. Yet, such drug treatments may induce alteration in the tumor's gene expression patterns, including those of Cancer/Testis Antigens (CTA). The degradation products of such antigens can be presented as HLA peptides on the surface of the tumor cells and be developed into anticancer immunotherapeutics. For example, the DNA methyl transferase inhibitor, 5-aza-2'-deoxycytidine (Decitabine) has limited antitumor efficacy, yet it induces the expression of many genes, including CTAs that are normally silenced in the healthy adult tissues. In this study, the presentation of many new HLA peptides derived from CTAs and induced by Decitabine was demonstrated in three human Glioblastoma cell lines. Such presentation of CTA-derived HLA peptides can be exploited for development of new treatment modalities, combining drug treatment with anti-CTA targeted immunotherapy. The Decitabine-induced HLA peptidomes include many CTAs that are not normally detected in healthy tissues or in cancer cells, unless treated with the drug. In addition, the study included large-scale analyses of the simultaneous effects of Decitabine on the transcriptomes, proteomes and HLA peptidomes of the human Glioblastoma cells. It demonstrates the poor correlations between these three levels of gene expression, both in their total levels and in their response to the drug. The proteomics and HLA peptidomics data are available via ProteomeXchange with identifier PXD003790 and the transcriptomics data are available via GEO with identifier GSE80137.

Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry

Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry

High-throughput characterization of the ovarian cancer HLA peptidome

Meeting abstracts T cells recognize cancer cells via human leukocyte antigen (HLA)/peptide complexes, and class I HLA-restricted tumor infiltrating T lymphocytes correspond to favorable prognosis in several cancers, including ovarian cancer--the most deadly gynecologic disease [[1][1]]. The

The Effect of Proteasome Inhibition on the Generation of the Human Leukocyte Antigen (HLA) Peptidome

The Major histocompatibility complex (MHC) class I peptidome is thought to be generated mostly through proteasomal degradation of cellular proteins, a notion that is based on the alterations in presentation of selected peptides following proteasome inhibition. We evaluated the effects of proteasome inhibitors, epoxomicin and bortezomib, on human cultured cancer cells. Because the inhibitors did not reduce the level of presentation of the cell surface human leukocyte antigen (HLA) molecules, we followed their effects on the rates of synthesis of both HLA peptidome and proteome of the cells, using dynamic stable isotope labeling in tissue culture (dynamic-SILAC). The inhibitors reduced the rates of synthesis of most cellular proteins and HLA peptides, yet the synthesis rates of some of the proteins and HLA peptides was not decreased by the inhibitors and of some even increased. Therefore, we concluded that the inhibitors affected the production of the HLA peptidome in a complex manner, including modulation of the synthesis rates of the source proteins of the HLA peptides, in addition to their effect on their degradation. The collected data may suggest that the current reliance on proteasome inhibition may overestimate the centrality of the proteasome in the generation of the MHC peptidome. It is therefore suggested that the relative contribution of the proteasomal and nonproteasomal pathways to the production of the MHC peptidome should be revaluated in accordance with the inhibitors effects on the synthesis rates of the source proteins of the MHC peptides.