Candidate Epitopes Research Articles

Identification of Candidate Immunodominant Epitopes and Their HLA-Binding Prediction on BK Polyomavirus Proteins in Healthy Donors.

BK polyomavirus infection is an important cause of graft loss in transplant patients, however, currently available therapies lack effectiveness against this pathogen. Identification of immunological targets for potential treatments is therefore necessary. The aim of this study was to predict candidates of immunodominant epitopes within four BK virus proteins (VP1, VP2, VP3 and LTA) using PBMCs from 44 healthy donors. We used the ELISpot epitope mapping method to evaluate the T-cell response, and HLA-peptide binding was predicted using the NetMHCpan algorithm. A total of 11 potential peptides were selected for VP1, 3 for VP2/VP3 and 13 for LTA. Greater reactivity was observed for VP1 and LTA proteins compared with VP2/VP3. Most of the peptides selected as potential immunodominant candidates were restricted towards several HLA class I and II alleles, with predominant HLA class I binding by computational predictions. Based on these findings, the sequences of the selected immunodominant epitopes candidates and their corresponding HLA restrictions could contribute to the optimisation of functional assays and aid in the design and improvement of immunotherapy strategies against BK virus infections.

Prediction, identification, and analysis of major B-cell linear epitopes of bomb m 6 from silkworm pupa

Bomb m 6 is one of the most representative allergens in silkworm pupae. The aim of the present study was to investigate the B-cell linear epitopes of Bomb m 6. Sequence propensity– and machine learning–based strategies were first used to predict 12 and 8 candidate epitopes, respectively. Then, 46 overlapping peptides [P1–P46; length, 15 amino acids (AAs); offset, 5 AAs] spanning the Bomb m 6 sequence were synthesized and tested for IgE/IgG reactivity by dot blotting. Seven IgE-binding epitopes and six IgG-binding epitopes were identified. AA61–80, AA136–150, and AA146–150 were identified as the shared dominant IgE/IgG-binding epitopes. The epitopes contain mainly α-helix and β-sheet structures and high proportions of hydrophobic AAs, and are distributed in charged regions. The major peptides of the epitopes were poorly resistant to simulated gastrointestinal fluid digestion. These findings provide a reference for the prevention of and immunotherapy for silkworm pupa allergy.

Impact of vaccination with the Anaplasma phagocytophilum MSP4 chimeric antigen on gene expression in the rabbit host

There are currently no vaccines available to prevent and control of Anaplasma phagocytophilum, an intracellular bacterial pathogen transmitted by ticks that occurs in many regions of the world and causes disease in a wide range of domestic and wild hosts, including humans. Vaccines induce long-lasting immunity and could prevent or reduce transmission of this pathogen.Understanding how vaccines induce a protective response can be difficult due to the complexity of the immune system, which operates at many levels throughout the organism. New perspectives in vaccinology, based on systems biology approaches, integrate many scientific disciplines to fully understand the biological responses to vaccination, where a transcriptomic approach could reveal relevant information of the host immune system, allowing profiling for rational design of vaccine formulations, administration, and potential protection.In the present study we report the gene expression profiles by RNA-seq followed by functional analysis using whole blood samples from rabbits immunized with a recombinant chimeric protein containing peptides from the MSP4 protein of A. phagocytophilum, which showed satisfactory results in terms of potential protection. Transcriptomic analysis revealed differential expression of 720 genes, with 346 genes upregulated and 374 genes downregulated. Overrepresentation of biological and metabolic pathways correlated with immune response, protein signaling, cytoskeleton organization and protein synthesis were found. These changes in gene expression could provide a complete and unique picture of the biological response to the epitope candidate vaccine against A. phagocytophilum in the host.

Chemical complementarity of tumor resident, T-cell receptor CDR3s and renalase-1 correlates with increased melanoma survival.

Overexpression of the secretory protein renalase-1 negatively impacts the survival of melanoma and pancreatic cancer patients, while inhibition of renalase-1 signaling drives tumor rejection by promoting T-cell activation. Thus, we investigated the chemical complementarity between melanoma-resident, T-cell receptor (TCR) complementarity-determining region 3 (CDR3) amino acid sequences (AAs) and the renalase-1 protein. Increasing complementarity of TCR CDR3s to renalase-1 AAs, as assessed by a chemical complementarity scoring algorithm, was associated with improved overall survival (OS) in melanoma patients. The expression levels of several immune signature genes were significantly, positively correlated with increasing TCR CDR3-renalase-1 complementarity scores. Additionally, the survival association observed with high complementarity of TCR CDR3s to renalase-1 AAs was more robust in cases with low renalase-1 gene expression levels. Mapping of TCR CDR3-renalase-1 in silico interaction sites identified major epitope candidates including RP220, the signaling module of the renalase-1 protein, consistent with the fact that a monoclonal antibody to RP220 is a potent inhibitor of melanoma growth. These findings indicate that renalase-1 is a potential antigen for TCR recognition in melanoma and could be considered as a target for immunotherapy.

Precision arbovirus serology with a pan-arbovirus peptidome

Arthropod-borne viruses represent a crucial public health threat. Current arboviral serology assays are either labor intensive or incapable of distinguishing closely related viruses, and many zoonotic arboviruses that may transition to humans lack any serologic assays. In this study, we present a programmable phage display platform, ArboScan, that evaluates antibody binding to overlapping peptides that represent the proteomes of 691 human and zoonotic arboviruses. We confirm that ArboScan provides detailed antibody binding information from animal sera, human sera, and an arthropod blood meal. ArboScan identifies distinguishing features of antibody responses based on exposure history in a Colombian cohort of Zika patients. Finally, ArboScan details epitope level information that rapidly identifies candidate epitopes with potential protective significance. ArboScan thus represents a resource for characterizing human and animal arbovirus antibody responses at cohort scale.

Structure-based prediction of T cell receptor recognition of unseen epitopes using TCRen.

T cell receptor (TCR) recognition of foreign peptides presented by major histocompatibility complex protein is a major event in triggering the adaptive immune response to pathogens or cancer. The prediction of TCR-peptide interactions has great importance for therapy of cancer as well as infectious and autoimmune diseases but remains a major challenge, particularly for novel (unseen) peptide epitopes. Here we present TCRen, a structure-based method for ranking candidate unseen epitopes for a given TCR. The first stage of the TCRen pipeline is modeling of the TCR-peptide-major histocompatibility complex structure. Then a TCR-peptide residue contact map is extracted from this structure and used to rank all candidate epitopes on the basis of an interaction score with the target TCR. Scoring is performed using an energy potential derived from the statistics of TCR-peptide contact preferences in existing crystal structures. We show that TCRen has high performance in discriminating cognate versus unrelated peptides and can facilitate the identification of cancer neoepitopes recognized by tumor-infiltrating lymphocytes.

Reverse vaccinology approach for identification of epitopes from E1 protein as peptide vaccine against HCV: A proof of concept

The development of effective vaccines against Hepatitis C Virus (HCV) remains a global health priority and challenge. In this study, we employed an integrative approach combining computational epitope prediction with experimental validation to identify immunogenic peptides targeting the E1 glycoprotein of HCV. In the present report, computational data from various epitope prediction algorithms such as IEDB and SYFPEITHI, followed by molecular dynamics (MD) simulations and immuno-informatics analysis is presented. Through computational screening, we identified potential epitope candidates, with QVRNSSGLY (P3) and QLFTFSPRH (P7) emerging as promising candidates. MD simulations revealed stable interactions between these epitopes and MHC molecule, further validated by free energy estimations using MMPBSA method. Immuno-informatics analysis supported these findings, showing high binding potential and immunogenicity scores for the selected peptides. Subsequent synthesis and characterization of epitope peptides confirmed their structural integrity and purity required for conducting immune activation assays. Experimental immunological assays carried out in this study involved epitope peptide induced activation of CD8 + and CD4 + T cells from healthy human subjects and HCV- recovered patients. Data from experimental validation revealed significant cytokine release upon exposure to epitope peptides, particularly TNF-a, IL-6, and GM-CSF, indicative of robust immune responses. Notably, peptides P3 and P7 exhibited the most pronounced cytokine induction profiles, underscoring their potential as vaccine candidates. Further investigations addressing the mechanism of action of these epitope peptides under preclinical and clinical settings may help in developing effective vaccine against HCV.

Deep learning of antibody epitopes using positional permutation vectors

BackgroundThe accurate computational prediction of B cell epitopes can vastly reduce the cost and time required for identifying potential epitope candidates for the design of vaccines and immunodiagnostics. However, current computational tools for B cell epitope prediction perform poorly and are not fit-for-purpose, and there remains enormous room for improvement and the need for superior prediction strategies. ResultsHere we propose a novel approach that improves B cell epitope prediction by encoding epitopes as binary positional permutation vectors that represent the position and structural properties of the amino acids within a protein antigen sequence that interact with an antibody. This approach supersedes the traditional method of defining epitopes as scores per amino acid on a protein sequence, where each score reflects each amino acids predicted probability of partaking in a B cell epitope antibody interaction. In addition to defining epitopes as binary positional permutation vectors, the approach also uses the 3D macrostructure features of the unbound protein structures, and in turn uses these features to train another deep learning model on the corresponding antibody-bound protein 3D structures. This enables the algorithm to learn the key structural and physiochemical features of the unbound protein and embedded epitope that initiate the antibody binding process helping to eliminate “induced fit” biases in the training data. We demonstrate that the strategy predicts B cell epitopes with improved accuracy compared to the existing tools. Additionally, we show that this approach reliably identifies the majority of experimentally verified epitopes on the spike protein of SARS-CoV-2 not seen by the model during training and generalizes in a very robust manner on dissimilar data not seen by the model during training. ConclusionsWith the approach described herein, a primary protein sequence and a query positional permutation vector encoding a putative epitope is sufficient to predict B cell epitopes in a reliable manner, potentially advancing the use of computational prediction of B cell epitopes in biomedical research applications.

Generation and evaluation of cancer binding capacity of HLA-A2-WT1 complex-targeting antibody

Wilms’ tumor (WT1), a transcription factor highly expressed in various leukemias and solid tumors, is a highly specific intracellular tumor antigen, requiring presentation through complexation with HLA-restricted peptides.. WT1-derived epitopes are able to assemble with MHC-I and thereby be recognized by T cell receptors (TCR). Identification of new targetable epitopes derived from WT1 on solid tumors is a challenge, but meaningful for the development of therapeutics that could in this way target intracellular oncogenic proteins. In this study, we developed and comprehensively describe methods to validate the formation of the complex of WT1126–134 and HLA-A2. Subsequently, we developed an antibody fragment able to recognize the extracellular complex on the surface of cancer cells. The single chain variable fragment (scFv) of an established TCR-mimic antibody, specifically recognizing the WT1-derived peptide presented by the HLA-A2 complex, was expressed, purified, and functionally validated using a T2 cell antigen presentation model. Furthermore, we evaluated the potential of the WT1-derived peptide as a targetable extracellular antigen in multiple solid tumor cell lines. Our study describes methodology for the evaluation of WT1-derived peptides as tumor-specific antigen on solid tumors, and may facilitate the selection of potential candidates for future immunotherapy targeting WT1 epitopes.

Revealing novel and conservative T-cell epitopes with MHC B2 restriction on H9N2 avian influenza virus (AIV)

B2 haplotype major histocompatibility complex (MHC) has been extensively reported to confer resistance to various avian diseases. But its peptide-binding motif is unknown, and the presenting peptide is rarely identified. Here, we identified its peptide-binding motif (X-A/V/I/L/P/S/G-X-X-X-X-X-X-V/I/L) invitro using Random Peptide Library-based MHC I LC-MS/MS analysis. To further clarify the structure basis of motif, we determined the crystal structure of the BF2∗02:01-PB2552-560 complex at 1.9Å resolution. We found that BF2∗02:01 had a relatively wide antigen-binding groove, and the structural characterization of pockets was consistent with the characterization of peptide-binding motif. The wider features of the peptide-binding motif and increased number of peptides bound by BF2∗02:01 than BF2∗04:01 might resolve the puzzles for the presence of potential H9N2 resistance in B2 chickens. Afterward, we explored the H9N2 avian influenza virus (AIV)-induced cellular immune response in B2 haplotype chickens invivo. We found that ratio of CD8+ T cell and kinetic expression of cytotoxicity genes including Granzyme K, interferon-γ, NK lysin, and poly-(ADP-ribose) polymerase in peripheral blood mononuclear cells were significantly increased in defending against H9N2 AIV infection. Especially, we selected 425 epitopes as candidate epitopes based on the peptide-binding motif and further identified four CD8+ T-cell epitopes on H9N2 AIV including NS198-106, PB2552-560, NP182-190, and NP455-463 via ELI-spot interferon-γ detections after stimulating memory lymphocytes with peptides. More importantly, these epitopes were found to be conserved in H7N9 AIV and H9N2 AIV. These findings provide direction for developing effective T cell epitope vaccines using well-conserved internal viral antigens in chickens.

Designing of multi-Epitope vaccine against spike glycoprotein of SARS-CoV-2 using immunoinformatics approach

BackgroundCOVID-19 caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome) has created an alarming situation worldwide. The surface (S) glycoprotein of novel coronavirus, encoded by the genome of SARS-CoV-2, plays an role in attachment, fusion as well as entry into the host cell. The spike glycoprotein plays vital role in not only infection but pathogenesis and adaptive immunity, and, therefore, the S glycoprotein is considered as the main target for the development of effective and durable vaccine against SARS-CoV-2. Present study aims to compare the SARS-CoV-2 spike sequence obtained from first Wuhan virus with those of Asian SARS-CoV-2 isolates. ResultA total of 1165 mutations from 657 sequences of Asia submitted in the month of November 2020 to February 2021 were detected. Further, secondary structure prediction followed by protein modeling analysis was performed which revealed, these mutations, considerably altered the stability of Spike protein. Additionally, Physiochemical properties, toxicity, allergenicity and stability of spike glycoprotein were estimated to demonstrate the specificity of the epitope candidates. Subsequently, we identified a total of 34B-cell and 10 T-cell immune epitopes. Among the predicted epitopes, 26 B-cell and 9T-cell epitopes showed non-allergenic, non-toxic and highly antigenic properties. ConclusionTaken together, our study showed spike glycoprotein of SARS-CoV-2 can be a potentially good candidate for the development of vaccine to curb SARS-CoV-2 infections.

Identifying therapeutic effect of kombucha Pirdot (Saurauia vulcani Korth.) against colorectal cancer: The experimental data and in silico approach

This study pioneers the evaluation of Kombucha Pirdot (KP) in combating colorectal cancer through combined in vivo and in silico methods. It involved categorizing rats into four groups (n = 6) consisting of the control, benzo(a)pyrene (B[a]P) treated, KP group, and a combination therapy for 30 days. The research focused on the interaction of S.vulcani and (B[a]P) compounds with colorectal signaling, using protein-protein interaction networks, molecular docking and dynamic simulation to assess compound affinity with target proteins. Furthermore, the epitope of colorectal cancer was aligned with the kombucha microorganism to explore the cross-reactivity. The experimental data demonstrated that B[a]P impaired colon histoarchitecture and elevated interleukin1β, whereas KP countered these effects. The study pinpointed key proteins and notable S. vulcani compounds linked to colorectal cancer. Moreover, six epitope candidates of colorectal cancer were obtained which have an identity of 65%–95 % for query coverage with Lactiplantibacillus plantarum and Saccharomyces cerevisiae that bind and fluctuate stability to core regions of HLA- A*0101 and HLA-DRB1*0101. Overall, the results underscore KP's potential as a viable option in developing colorectal cancer treatments.

Abstract 24: Utilizing T cell receptor-based therapy to treat anaplastic thyroid cancer

Abstract Anaplastic thyroid cancer (ATC) is one of the most aggressive solid tumor in thyroid tissue, with a 6-month medium overall survival. The effectiveness of conventional treatments in extending the survival of patients is limited. Therefore, there is an urgent need to develop novel systemic therapeutic interventions. Adoptive cell therapy has revolutionized cancer immunotherapy by successfully treating B-cell malignancies through chimeric antigen receptor-based approaches. For solid tumors, there is a need to identify a broader spectrum of tumor target antigens, and the field has now shifted towards leveraging T cell receptors (TCRs) which can recognize both intracellular and extracellular antigen-derived epitopes. Our team has established an immunogenic epitope discovery pipeline, followed by a specialized protocol for empiric validation of candidate epitopes. We characterized immunogenic epitopes by coupling tandem mass spectrometry of MHC-eluted peptides with tumor proteome and MHC-peptide binding prediction databases. By integrating multi-omics data (genomics, transcriptomics, and immunopeptidomics) from both in-house and publicly available ATC databases, we find that ATC exhibits significant upregulation of pathways associated with microtubule-based movement, chromosome segregation, and kinetochore complex components. We have identified several HLA-A2- and A24-restricted immunogenic peptides representing these pathway-associated proteins that covered more than 60% of the patient population. These immunogenic peptides were subsequently utilized to isolate antigen-specific T cells from peripheral blood and identify cognate TCR. These peptide-specific T lymphocytes elicit cytotoxicity toward multiple HLA-matched ATC cell lines and tumor samples in vitro and in vivo. In conclusion, our studies contribute to the development of a new treatment paradigm for treating ATC. Citation Format: Shao-Hsi Hung, Ying C. Henderson, Pan Ke, Yulun Chiu, Shailbala Singh, Yunyun Chen, Stephen Y. Lai, Cassian Yee. Utilizing T cell receptor-based therapy to treat anaplastic thyroid cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 24.

In silico discovery of diagnostic/vaccine candidate antigenic epitopes and a multi-epitope peptide vaccine (NaeVac) design for the brain-eating amoeba Naegleria fowleri causing human meningitis

Naegleria fowleri, the brain-eating amoeba, is a free-living amoeboflagellate with three different life cycles (trophozoite, flagellated, and cyst) that lives in a variety of habitats around the world including warm freshwater and soil. It causes a disease called naegleriasis leading meningitis and primary amoebic meningoencephalitis (PAM) in humans. N. fowleri is transmitted through contaminated water sources such as insufficiently chlorinated swimming pool water or contaminated tap water, and swimmers are at risk. N. fowleri is found all over the world, and most infections were reported in both developed and developing countries with high mortality rates and serious clinical findings. Until now, there is no FDA approved vaccine and early diagnosis is urgent against this pathogen. In this study, by analyzing the N. fowleri vaccine candidate proteins (Mp2CL5, Nfa1, Nf314, proNP-A and proNP-B), it was aimed to discover diagnostic/vaccine candidate epitopes and to design a multi-epitope peptide vaccine against this pathogen. After the in silico evaluation, three prominent diagnostic/vaccine candidate epitopes (EAKDSK, LLPHIRILVY, and FYAKLLPHIRILVYS) with the highest antigenicities were discovered and a potentially highly immunogenic/antigenic multi-epitope peptide vaccine (NaeVac) was designed against the brain-eating amoeba N. fowleri causing human meningitis.

Epitope mapping and a candidate vaccine design from canine distemper virus.

Canine distemper (CD) is a worldwide spread disease that has been described in 12 families of mammals, especially in the Carnivora order, being better studied in domestic canines where vaccination represents the best means of control. CD is controlled by vaccination, but many cases of the disease still occur in vaccinated animals. The aim of this work was to study antigen-specific epitopes that can subsidize the development of a new vaccine approach. Mapping of T cell reactive epitopes for CD virus (CDV) was carried out through enzyme-linked immunospot assays using 119 overlapped synthetic peptides from the viral hemagglutinin protein, grouped in 22 pools forming a matrix to test the immune response of 32 animals. Evaluations using the criteria established to identify reactive pools, demonstrated that 26 animals presented at least one reactive pool, that one pool was not reactive to any animal, and six pools were the most frequent among the reactive peptides. The crisscrossing of the most reactive pools in the matrix revealed nine peptides considered potential candidate epitopes for T cell stimulation against the CDV and those were used to design an in-silico protein, containing also predicted epitopes for B cell stimulation, and further analyzed using immune epitope databases to ensure protein quality and stability. The final in silico optimized protein presents characteristics that qualify it to be used to develop a new prototype epitope-based anti-CDV vaccine.

Prediction and identification of HLA-A*0201-restricted epitopes from cancer testis antigen CT23

ABSTRACT Cancer-testis antigen CT23 is a class of tumor-associated antigens (TAA) characterized by restricted expression in male germ cells and a variety of tumor tissues. Numerous studies have shown that CT23 is closely related to tumor cell viability, proliferation, metastasis and invasion. CT23 is immunogenic and can cause specific immune response in tumor patients. Therefore, it is considered to be one of the best target antigens for designing therapeutic tumor vaccines and T-cell-mediated tumor immunotherapy. In this study, we initially obtained seven HLA-A*0201-restricted CT23 epitope candidate peptides through the T cell epitope prediction program. Subsequently, a T2 cell binding assay revealed the potential binding of all candidate peptides with HLA-A2 molecules. Notably, peptide P7 (ALLVLCYSI) exhibited the highest affinity, as evidenced by a fluorescence index (FI) of 2.19. Dendritic cells (DCs) loaded with CT23 candidate peptide can stimulate CD8+T cell activation and proliferation, and compared with other candidate peptides, candidate peptide P7 is superior. The cytotoxic T lymphocytes (CTLs) stimulated by the peptide P7 had killing effect on tumor cells (HLA-A*0201+, CT23+), but no killing effect on tumor cells (HLA-A*0201−, CT23+). The CTLs induced by the peptide P7 also had a specific killing effect on T2 cells bearing the peptide P7. In summary, our findings suggest that the CT23 peptide P7 (ALLVLCYSI) can induce immune responses and holds potential for tumor-specific CTL therapy.

Brewpitopes: a pipeline to refine B-cell epitope predictions during public health emergencies.

The application of B-cell epitope identification to develop therapeutic antibodies and vaccine candidates is well established. However, the validation of epitopes is time-consuming and resource-intensive. To alleviate this, in recent years, multiple computational predictors have been developed in the immunoinformatics community. Brewpitopes is a pipeline that curates bioinformatic B-cell epitope predictions obtained by integrating different state-of-the-art tools. We used additional computational predictors to account for subcellular location, glycosylation status, and surface accessibility of the predicted epitopes. The implementation of these sets of rational filters optimizes in vivo antibody recognition properties of the candidate epitopes. To validate Brewpitopes, we performed a proteome-wide analysis of SARS-CoV-2 with a particular focus on S protein and its variants of concern. In the S protein, we obtained a fivefold enrichment in terms of predicted neutralization versus the epitopes identified by individual tools. We analyzed epitope landscape changes caused by mutations in the S protein of new viral variants that were linked to observed immune escape evidence in specific strains. In addition, we identified a set of epitopes with neutralizing potential in four SARS-CoV-2 proteins (R1AB, R1A, AP3A, and ORF9C). These epitopes and antigenic proteins are conserved targets for viral neutralization studies. In summary, Brewpitopes is a powerful pipeline that refines B-cell epitope bioinformatic predictions during public health emergencies in a high-throughput capacity to facilitate the optimization of experimental validation of therapeutic antibodies and candidate vaccines.

Discovery of U2AF1 neoantigens in myeloid neoplasms

BackgroundMyelodysplastic syndromes (MDS) arise from somatic mutations acquired in hematopoietic stem and progenitor cells, causing cytopenias and predisposing to transformation into secondary acute myeloid leukemia (sAML). Recurrent mutations in spliceosome...

In Silico Analyses, Experimental Verification and Application in DNA Vaccines of Ebolavirus GP-Derived pan-MHC-II-Restricted Epitopes.

(1) Background and Purpose: Ebola virus (EBOV) is the causative agent of Ebola virus disease (EVD), which causes extremely high mortality and widespread epidemics. The only glycoprotein (GP) on the surface of EBOV particles is the key to mediating viral invasion into host cells. DNA vaccines for EBOV are in development, but their effectiveness is unclear. The lack of immune characteristics resides in antigenic MHC class II reactivity. (2) Methods: We selected MHC-II molecules from four human leukocyte antigen II (HLA-II) superfamilies with 98% population coverage and eight mouse H2-I alleles. IEDB, NetMHCIIpan, SYFPEITHI, and Rankpep were used to screen MHC-II-restricted epitopes with high affinity for EBOV GP. Further immunogenicity and conservation analyses were performed using VaxiJen and BLASTp, respectively. EpiDock was used to simulate molecular docking. Cluster analysis and binding affinity analysis of EBOV GP epitopes and selected MHC-II molecules were performed using data from NetMHCIIpan. The selective GP epitopes were verified by the enzyme-linked immunospot (ELISpot) assay using splenocytes of BALB/c (H2d), C3H, and C57 mice after DNA vaccine pVAX-GPEBO immunization. Subsequently, BALB/c mice were immunized with Protein-GPEBO, plasmid pVAX-GPEBO, and pVAX-LAMP/GPEBO, which encoded EBOV GP. The dominant epitopes of BALB/c (H-2-I-AdEd genotype) mice were verified by the enzyme-linked immunospot (ELISpot) assay. It is also used to evaluate and explore the advantages of pVAX-LAMP/GPEBO and the reasons behind them. (3) Results: Thirty-one HLA-II-restricted and 68 H2-I-restricted selective epitopes were confirmed to have high affinity, immunogenicity, and conservation. Nineteen selective epitopes have cross-species reactivity with good performance in MHC-II molecular docking. The ELISpot results showed that pVAX-GPEBO could induce a cellular immune response to the synthesized selective peptides. The better immunoprotection of the DNA vaccines pVAX-LAMP/GPEBO coincides with the enhancement of the MHC class II response. (4) Conclusions: Promising MHC-II-restricted candidate epitopes of EBOV GP were identified in humans and mice, which is of great significance for the development and evaluation of Ebola vaccines.

Abstract PO-061: Utilizing T cell receptor-based therapy to treat anaplastic thyroid cancer

Abstract Anaplastic thyroid cancer (ATC) is considered to be among the most aggressive solid tumors in thyroid tissue, with a 6-month medium overall survival. The effectiveness of conventional treatments, such as surgery, chemotherapy, and radiation therapy, in extending the survival of patients is limited. Therefore, there is an urgent need to develop novel systemic therapeutic interventions that can induce long-lasting responses. Adoptive cell therapy has revolutionized cancer immunotherapy by successfully treating B-cell malignancies through chimeric antigen receptor-based approaches. For solid tumors, there is a need to identify a broader spectrum of tumor target antigens, and the field has now shifted towards leveraging T cell receptors (TCRs) which can recognize both intracellular and extracellular antigen-derived epitopes displayed by major histocompatibility complex (MHC) molecules. Our team has established an immunogenic epitope discovery pipeline, followed by a specialized protocol for empiric validation of candidate epitopes. We characterized immunogenic epitopes by coupling tandem mass spectrometry of MHC-eluted peptides with tumor proteome and MHC-peptide binding prediction databases. By integrating multi-omics data (genomics, transcriptomics, and immunopeptidomics) from both in-house and publicly available ATC databases, we find that ATC exhibits significant upregulation of pathways associated with microtubule-based movement, chromosome segregation, kinetochore complex components, and mitotic cytokinesis. We have identified several HLA-A2- and A24-restricted immunogenic peptides representing these pathway-associated proteins that covered more than 60% of the patient population. NDC80 kinetochore complex components (NDC80) and PDZ binding kinase (PBK) have been selected as top candidates. Peptides derived from NDC80 and PBK were subsequently utilized to isolate antigen-specific T cells from peripheral blood and identify cognate TCR. These peptide-specific T lymphocytes elicit cytotoxicity toward multiple HLA-matched ATC cell lines and tumor samples in vitro and in vivo. Furthermore, understanding the role of these genes in ATC tumorigenesis may identify novel combination strategies with adoptive cell therapy to yield synergistic effects. In conclusion, our studies contribute to the development of a new treatment paradigm for treating ATC, with the prospect of improving survival and outcome in this rare cancer patient population. Citation Format: Shao-Hsi Hung, Ying Henderson, Ke Pan, Yulun Chiu, Shailbala Singh, Yunyun Chen, Stephen Lai, Cassian Yee. Utilizing T cell receptor-based therapy to treat anaplastic thyroid cancer [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-061.