Expression Of Human Leukocyte Antigen Research Articles

TM-Score predicts immunotherapy efficacy and improves the performance of the machine learning prognostic model in gastric cancer

Immunotherapy is becoming increasingly important, but the overall response rate is relatively low in the treatment of gastric cancer (GC). The application of tumor mutational burden (TMB) in predicting immunotherapy efficacy in GC patients is limited and controversial, emphasizing the importance of optimizing TMB-based patient selection. By combining TMB and major histocompatibility complex (MHC) related hub genes, we established a novel TM-Score. This score showed superior performance for immunotherapeutic selection (AUC = 0.808) compared to TMB, MSI status, and EBV status. Additionally, it predicted the prognosis of GC patients. Subsequently, a machine learning model adjusted by the TM-Score further improved the accuracy of survival prediction (AUC > 0.8). Meanwhile, we found that GC patients with low TM-Score had a higher mutation frequency, higher expression of HLA genes and immune checkpoint genes, and higher infiltration of CD8+ T cells, CD4+ helper T cells, and M1 macrophages. This suggests that TM-Score is significantly associated with tumor immunogenicity and tumor immune environment. Notably, based on the RNA-seq and scRNA-seq, it was found that AKAP5, a key component gene of TM-Score, is involved in anti-tumor immunity by promoting the infiltration of CD4+ T cells, NK cells, and myeloid cells. Additionally, siAKAP5 significantly reduced MHC-II mRNA expression in the GC cell line. In addition, our immunohistochemistry assays confirmed a positive correlation between AKAP5 and human leukocyte antigen (HLA) expression. Furthermore, AKAP5 levels were higher in patients with longer survival and those who responded to immunotherapy in GC, indicating its potential value in predicting prognosis and immunotherapy outcomes. In conclusion, TM-Score, as an optimization of TMB, is a more precise biomarker for predicting the immunotherapy efficacy of the GC population. Additionally, AKAP5 shows promise as a therapeutic target for GC.

HLA-B and C Expression Contributes to COVID-19 Disease Severity within a South African Cohort.

Globally, SARS-CoV-2 has negatively impacted many lives and industries due to its rapid spread, severe outcomes, and the need for the implementation of lockdown strategies across the world. SARS-CoV-2 disease severity varies among different populations. Host genetics have been associated with various diseases, and their ability to alter disease susceptibility and severity. In addition, Human Leukocyte Antigen (HLA) expression levels and alleles vary significantly among ethnic groups, which might impact the host's response to SARS-CoV-2. Our previous study highlighted that HLA-A might have an effect on COVID-19 disease severity across ethnicities. Therefore, in this study, we aim to examine the effect of HLA-B and C expression levels on COVID-19 disease severity. To achieve this, we used real-time PCR to measure the HLA mRNA expression levels of SARS-CoV-2-infected individuals from a South African cohort and compared them across ethnic groups, disease outcomes, gender, comorbidities, and age. Our results show (1) that the effect of HLA-B mRNA expression levels was associated with differences in disease severity when we compare symptomatic vs. asymptomatic (p < 0.0001). While HLA-C mRNA expression levels were not associated with COVID-19 disease severity. (2) In addition, we observed that HLA-B and HLA-C mRNA expression levels were significantly different between South African Black individuals and South African Indian individuals (p < 0.0001, p < 0.0001). HLA-B mRNA expression levels among symptomatic South African Black individuals were significantly higher than symptomatic South African Indian individuals (p < 0.0001). In addition, the HLA-B mRNA expression levels of symptomatic South African Black individuals were significantly higher than asymptomatic South African Black individuals (p > 0.0001). HLA-C mRNA expression levels among symptomatic South African Black individuals were significantly higher than among symptomatic South African Indian individuals (p = 0.0217). (3) HLA-C expression levels were significantly different between males and females (p = 0.0052). In addition, the HLA-C expression levels of asymptomatic males are higher than asymptomatic females (p = 0.0375). (4) HLA-B expression levels were significantly different between individuals with and without comorbidities (p = 0.0009). In addition, we observed a significant difference between individuals with no comorbidities and non-communicable diseases (p = 0.0034), in particular, hypertension (p = 0.0487). (5) HLA-B expression levels were significantly different between individuals between 26-35 and 56-65 years (p = 0.0380). Our work is expected to strengthen the understanding of the relationship between HLA and COVID-19 by providing insights into HLA-B and C expression levels across ethnic populations in South Africa among COVID-19-symptomatic and asymptomatic individuals. Our results highlight that HLA-B mRNA expression levels contribute to COVID-19 severity as well as variation in ethnicities associated with COVID-19. Further studies are needed to examine the effect of HLA expression levels across various ethnic groups with contributing factors.

Platelets retain function and can be stored following disruption of human leucocyte antigens.

Antibodies to human leucocyte antigen (HLA) Class-I antigens can lead to refractoriness to platelet transfusion. Although this can be overcome by transfusion of HLA-compatible platelets, they are not always available. Disruption of HLA antigens on platelets by acid treatment may be a suitable alternative when no other components are available. The aim of this study was to assess the effect of HLA disruption and subsequent storage of platelet components. Platelet components were treated with 0.9% saline or citric acid solution (pH 3.0), and then stored until expiry (Day 7). HLA and platelet glycoprotein expression, platelet viability, activation and sialylation were measured by flow cytometry. Release of soluble factors was measured by ELISA and metabolism by biochemistry analyser. Reactivity to patient anti-sera containing anti-HLA antibodies was measured using platelet immunofluorescence tests (PIFTs) and monoclonal antibody immobilization of platelet antigen (MAIPA) assays. Platelet function was measured using aggregometry and thromboelastography (TEG). Acid treatment reduced detection of HLA Class-I on platelets by 75%, with significant reductions in reactivity to patient anti-sera. Acid treatment reduced platelet content and viability, increased platelet activation and accelerated metabolism. Glycan cleavage was increased by acid treatment. Treatment reduced platelet activation following agonist stimulation by ADP and TRAP-6, but platelets remained functional, displaying increased aggregation response and reduced time to clot formation by TEG. Although HLA disruption had some detrimental effects, acid-treated platelets remained functional, retaining their capacity to respond to agonists and form clots, and with further development could be used to support refractory patients.

Abstract 5378: Spatially resolved human leukocyte antigen (HLA) expression correlates with motif neoepitope expression and durable response to immune checkpoint blockade (ICB) in non-small cell lung cancer (NSCLC)

Abstract Background: We previously showed electrostatic interactions enhance binding between “motif” neoepitopes and HLA and predict advanced NSCLC ICB benefit, suggesting optimal neoantigen presentation drives effective anti-tumor immune response (Cummings 2020). However, not all cases with motif neoepitopes exhibit favorable ICB outcomes. Methods: As proof-of-concept, participants from our published NSCLC ICB cohort with available pre-treatment archival tissue were selected based on HLA supertype B44, predicted motif neoepitopes, and best response of progressive disease (PD) vs partial/complete response (PR/CR). Whole exome sequencing, HLA typing and neoepitope prediction were previously performed (Cummings 2020). GeoMx slides were prepared, hybridized with RNA probes and stained with antibodies to cytokeratin (CK), nuclear material and CD45 per manufacture instructions (Geiss 2008). Antibody to CD8 (Novus) was optimized at 1:50 dilution. Twelve regions of interest (ROI) were selected per sample including the following compartments: CK+CD8+, CK+CD8-, CK-CD8+ and CK-CD8- (negative control). Each ROI included ~150 nuclei selected using GeoMx Digital Spatial Profiler. Sequencing was performed on Illumina Novaseq 6000 (50bpx2) demultiplexed using Illumina Bcl2fastq v2.19.1.403. Raw reads were normalized and compared using paired student’s T-tests with Tukey’s correction via R v4.1. Neoepitope (non/motif) comparisons used matched numbers per sample selected by highest expression. Results: Seven participants (3 PD, 3 PR, 1 CR) were included, each exhibiting 1-7 motif neoepitopes without HLA loss of heterozygosity. 84 ROI included 24 CK+CD8+, 24 CK+CD8-, 24 CK-CD8+ and 12 CK-CD8- with at least one ROI per category per participant. PD samples had fewer CD8+ ROI (12 vs 36) and lower CXCL9 (p=0.011) and CD274 (p=0.014). HLA-A/B/C expression followed a gradient with highest expression in CK+CD8+ ROI with limited detection in CK-CD8- ROI. Among HLA, HLA-B had highest median expression (A: 226, B: 650, C: 202; p&amp;lt;0.001). In CK+ ROI, motif neoepitope expression was detectable for all participants but not statistically different from non-motif expression (p=0.23). HLA-A/B/C all exhibited lower expression in PD CK+ ROI (p&amp;lt;0.001). Conclusion: HLA expression may modify prediction of clinically meaningful neoepitopes and response to ICB. Validation in a larger, prospective cohort is planned. Citation Format: Lucas Goldman, Sarah Gorbatov, Collin Shen, Alexa Berezowitz, Edward Garon, Amy Lauren Cummings. Spatially resolved human leukocyte antigen (HLA) expression correlates with motif neoepitope expression and durable response to immune checkpoint blockade (ICB) in non-small cell lung cancer (NSCLC) [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 5378.

Abstract 1201: Pervasive HLA disruption fuels cancer evolution

Abstract Disruption of the human leukocyte antigen (HLA) molecules has important implications for immune evasion and tumor evolution. However, although genomic loss of HLA is frequent in non-small cell lung cancer (NSCLC) and in some types of breast cancer, the extent and importance of transcriptomic disruption to HLA presentation, including transcript repression and alternative splicing (AS), remains unclear. To address this, we developed MHC Hammer, a tool to call HLA allele-specific mutations, loss of heterozygosity (LOH), transcriptional repression, and alternative splicing. We first assessed HLA allelic expression and the prevalence of AS in normal tissue. Applying MHC Hammer to 510 normal lung samples and 407 normal breast samples from the Genotype-Tissue Expression cohort, we identified extensive heterogeneity in HLA allelic expression depending on both the allele and tissue type. In addition, HLA allelic AS, occurring in at least 20% of the allele transcripts, was observed in 19% of normal lung and 13% of normal breast samples. Next, we applied MHC Hammer to 413 TRACERx NSCLCs and 743 TCGA breast tumours. While mutations were uncommon, HLA LOH was a frequent event, occurring in 32% of lung adenocarcinomas (LUAD) and 57% of lung squamous cell carcinomas (LUSC). We observed a similar rate of HLA LOH in estrogen receptor positive (ER+) and negative (ER-) tumors (ER+: 14%, ER-: 15%), while in triple negative breast tumours we observed a higher rate of LOH (31%). Due to the heterogeneity in HLA expression observed in the normal samples, to measure tumor specific HLA repression and alternative splicing, we restricted our analysis to tumours with WES, tumor and tumor-adjacent normal RNAseq data. This resulted in a cohort of 88 NSCLCs from the TRACERx study as well as 44 ER+ breast tumours from the TCGA cohort. 61% of LUAD, 75% of LUSC and 35% of ER+ tumours harbored class I HLA transcriptional repression that could not be explained by underlying genomic loss. 27% of LUAD, 7% of LUSC and 55% of ER+ breast tumor patients exhibited no HLA disruption. Tumor specific AS affecting HLA exons 2, 3 or 4, potentially disrupting HLA antigen presentation, was identified in 8% of LUADs, 11% of LUSC and 7% of ER+ breast tumours. Tumor specific AS of exon 5, yielding soluble HLA molecules without a transmembrane domain was identified in 20% of LUAD, 14% of LUSCs and 18% of ER+ breast tumours. LUAD and LUSC tumor regions without HLA LOH or repression were enriched for somatic HLA AS events and alleles with somatic HLA AS had a higher neoantigen burden than those without. We found no relationship between survival and HLA expression or AS in the normal tissue. However, consistent with the importance of HLA dysfunction in tumor evolution, LUADs with low HLA expression in at least one tumor region were associated with shorter disease-free survival, HLA LOH was more common in LUAD’s that metastasized and HLA repression was enriched in LUSC primary regions seeding metastases. Citation Format: Clare Puttick, Thomas P. Jones, Michelle Leung, Oriol Pich, Felipe Galvez Cancino, Jiali Liu, Manuel Varas-Godoy, Andrew Rowan, Carlos Martinez-Ruiz, Robert Bentham, Krijn K. Dijkstra, Rachel Rosenthal, Nnennaya Kanu, Kevin Litchfield, Roberto Salgado, David A. Moore, Peter Van Loo, Mariam Jamal-Hanjani, Sergio A. Quezada, Nicholas McGranahan, Charles Swanton. Pervasive HLA disruption fuels cancer evolution [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 1201.

Abstract 6235: Clinical and phenotypic consequences of HLA mediated antigen presentation deficiency in pancreatic adenocarcinoma at bulk and single-cell resolution

Abstract Introduction: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal neoplasm of the pancreas characterized by a low survival rate and limited treatment options. Despite the success of immunotherapy in various cancer types, its efficacy in PDAC remains low. The underlying reasons for this discrepancy are not fully understood, despite PDAC exhibiting a moderate mutation burden. One possible determinant could be the loss of heterozygosity (LOH) at the human leukocyte antigen (HLA) loci, resulting in compromised antigen presentation. In this work, we aim to identify and validate HLA LOH events in two independent cohorts to gain insights into both their prevalence and clinical and phenotypic impact on PDAC. Methods: We applied LOHHLA, a specialized pipeline to identify HLA LOH events from paired whole genome sequencing to two independent cohorts comprising over 650 patients. We contextualized these results with the paired transcriptome-wide gene expression data and immunohistochemistry stains. In addition, we developed a machine learning classifier to predict HLA LOH from transcriptomic data. We transfer this classifier to single cell RNA sequencing data to identify the impact of (subclonal) HLA LOH on the tumor microenvironment. Results: HLA LOH events occur in approximately 30% of PDAC patients, with about 50% of these deletions being focal deletions. We find evidence that focal but not non-focal LOH is a driver of immune escape. Overall, we find that HLA LOH events are early genetic alterations and observe a significant association between HLA LOH and the Basal PDAC expression subtype. In addition, we find that HLA expression is the most important determinant of lymphocyte infiltration followed by an intact HLA locus. Moreover, our transcriptomic classifier allowed us to accurately identify HLA LOH events from RNA sequencing data, which we successfully validated in an independent cohort. Finally, we applied this classifier to single cell sequencing data and identified phenotypic differences in multiple compartments of the tumor microenvironment between samples with intact HLA and HLA LOH. Conclusions: In conclusion, our study provides the most in depth characterization of the consequences of altered antigen presentation in PDAC to date. We have demonstrated that HLA LOH occurs in a substantial proportion of patients. Overall, these findings contribute to a better understanding of the immune landscape in PDAC and may have implications for the development of immunotherapeutic strategies tailored to this challenging cancer type. Citation Format: Michael J. Geuenich, Barbara Gruenwald, Grainne O'Kane, Chengxin Yu, Tan Tiak Ju, Amy Zhang, Oumaima Hamza, Gun Ho Jang, Faiyaz Notta, Steven Gallinger, Kieran R. Campbell. Clinical and phenotypic consequences of HLA mediated antigen presentation deficiency in pancreatic adenocarcinoma at bulk and single-cell resolution [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 6235.

Abstract 5345: Development and validation of humanized HLA mouse model platforms for preclinical evaluation of novel peptide vaccines

Abstract The human leukocyte antigen (HLA) class I major histocompatibility complex (MHC) plays an integral role in immune surveillance by presenting intracellular antigen peptides on the cell surface, enabling recognition by cytotoxic T cells and subsequent elimination. Harnessing this intrinsic process for cancer immunotherapy is a promising therapeutic strategy; thus, developing preclinical models to evaluate the efficacy of novel peptide vaccines in vivo and ex vivo is critical. Previously, we developed a humanized MHC I mouse model (B-HLA-A2.1 mice), in which we successfully demonstrated efficacy of peptide vaccines as assessed by splenocyte IFN-γ production measured via ELISpot. Here, we provide evidence that B-HLA-A2.1 mice can also mount immune responses to NY-ESO-1 and WT1-Db126 peptides using the same assay. Additionally, immunization with WT1-Db126 at 7, 14, and 21 days prior to tumor inoculation with WT1-expressing MC38 colon cancer cells significantly reduced tumor volume. Additionally, we have generated two new humanized HLA models: B-HLA-A11.1 mice and B-HLA-A24.2 mice. Flow cytometric data demonstrate successful expression of the human HLAs on the cell surface of splenocytes isolated from both strains. Compared to wild-type C57BL/6 mice, analysis of leukocyte and lymphocyte subpopulations in the humanized mice indicates that the CD4/CD8 ratio is altered in favor of CD4+ T cells in both strains, similar to what was observed in B-HLA-A2.1 humanized mice. Despite these observed alterations, B-HLA-A24.2 mice were able to mount an immune response to peptide SART2 93-101, which was measured by splenocyte IFN-γ production. In summary, our data indicate that humanized HLA-A mice provide a powerful preclinical model for in vivo/ex vivo evaluation of novel peptide vaccines. Citation Format: Zhenlan Niu, Xuan Yu, Zhiyuan Shen, Jing Guo, Qingcong Lin, Hui Xu. Development and validation of humanized HLA mouse model platforms for preclinical evaluation of novel peptide vaccines [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 5345.

Immunogenic cell death related mRNAs associated signature to predict immunotherapeutic response in osteosarcoma

BackgroundImmunogenic cell death (ICD) is related to cancer prognosis, which has a synergic effect in combination with chemotherapy or immunotherapy. Yet, the relationship between ICD and osteosarcoma remained unclear. Materials and methodsThree osteosarcoma datasets including therapeutically applicable research to generate effective treatments (TARGET), GSE126209 and GSE21257 datasets were included. A protein-protein interaction network was constructed based on ICD-related genes. We performed unsupervised consensus clustering to classify molecular subtypes (clusters). Survival analysis, Estimation of stromal and immune cells in malignant tumour tissues using expression data (ESTIMATE), Cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT), and differential analysis were employed to characterize the molecular differences between different clusters. Univariate Cox regression analysis was conducted to confirm prognostic genes. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to demonstrate the aberrant expression of ICD-correlated signature genes in osteosarcoma. A series of cellular experiments, including cell counting kit-8 (CCK-8), transwell, and flow cytometry, were used to demonstrate the regulatory role of key genes in the ICD model on the malignant phenotype of osteosarcoma. ResultsThree clusters (cluster1, 2, 3) were constructed and they showed distinct overall survival and immune infiltration. ICD-related genes were highly expressed in cluster1. Moreover, Cluster1 had the best prognosis, high immune score and high expression of human leukocyte antigen (HLA)-related genes. TLR4, LY96, IFNGR1, CD4, and CASP1 were identified as prognostic genes for establishing an ICD-related risk signature. According to the risk signature, two risk groups (high and low risks) showing differential prognosis and response to immunotherapy. The low risks group had a better prognosis but was not sensitive to immunotherapy. Molecular assays verified that prognostic genes were abnormally under-expressed in osteosarcoma. Cellular assays demonstrated that LY96, the most significantly down-regulated gene in osteosarcoma, inhibited the migration, invasion, and proliferation phenotypes of osteosarcoma cells and prolonged the cell cycle. Analysis of oxidative stress related pathway enrichment in tumor microenvironment was conducted by single-sample gene set enrichment analysis (ssGSEA). ConclusionsThis study demonstrated the prognostic significance of ICD-correlated genes in osteosarcoma patients. The five-gene risk signature facilitate prognostic evaluation and prediction of osteosarcoma patients’ response to immunotherapy. The risk signature also offered a possibility for the exploit of novel ICD-related treatment.

Identification of prognostic models for glycosylation-related subtypes and tumor microenvironment infiltration characteristics in clear cell renal cell cancer

One of the most fatal forms of cancer of the urinary system, renal cell carcinoma (RCC), significantly negatively impacts human health. Recent research reveals that abnormal glycosylation contributes to the growth and spread of tumors. However, there is no information on the function of genes related to glycosylation in RCC. In this study, we created a technique that can be used to guide the choice of immunotherapy and chemotherapy regimens for RCC patients while predicting their survival prognosis. The Cancer Genome Atlas (TCGA) provided us with patient information, while the GeneCards database allowed us to collect genes involved in glycosylation. GSE29609 was used as external validation to assess the accuracy of prognostic models. The "ConsensusClusterPlus" program created molecular subtypes based on genes relevant to glycosylation discovered using differential expression analysis and univariate Cox analysis. We examined immune cell infiltration as measured by estimate, CIBERSORT, TIMER, and ssGSEA algorithms, Tumor Immune Dysfunction and Exclusion (TIDE) and exclusion of tumour stemness indices (TSIs) based on glycosylation-related molecular subtypes and risk profiles. Stratification, somatic mutation, nomogram creation, and chemotherapy response prediction were carried out based on risk factors. We built and verified 16 gene signatures associated with the prognosis of ccRCC patients, which are independent prognostic variables, and identified glycosylation-related genes by bioinformatics research. Cluster 2 is associated with lower human leukocyte antigen expression, worse overall survival, higher immunological checkpoints, and higher immune escape scores. In addition, cluster 2 had significantly better angiogenic activity, mesenchymal EMT, and stem ability scores. Higher immune checkpoint genes and human leukocyte antigens are associated with lower overall survival and a higher risk score. Higher estimated and immune scores, lesser tumor purity, lower mesenchymal EMT, and higher stem scores were all characteristics of the high-risk group. High amounts of tumor-infiltrating lymphocytes, a high mutation load, and a high copy number alteration frequency were present in the high-risk group.Discussion.According to our research, the 16-gene prognostic signature may be helpful in predicting prognosis and developing individualized treatments for patients with renal clear cell carcinoma, which may result in new personalized management options for these patients.

Decreased human leukocyte antigen-D–related expression on CD14+ monocytes in patients with out-of-hospital cardiac arrest provided target temperature management therapy: a prospective observational study

Decreased human leukocyte antigen-D–related expression on CD14+ monocytes in patients with out-of-hospital cardiac arrest provided target temperature management therapy: a prospective observational study

Genome editing approaches for universal chimeric antigen receptor T cells

Autologous chimeric antigen receptor (CAR) T cell therapy has revolutionised the management of certain B-cell malignancies. However, as bespoke therapies, challenges include complex manufacturing logistics and risks ranging from suboptimal harvests to inadvertent transduction and masking of blast populations. Premanufactured, ready -to -use allogeneic CAR T cells could mitigate some of these hurdles if barriers created by HLA (Human leukocyte antigen) mismatching can be addressed. Genome editing to disrupt TCRαβ (T-cell receptor αβ) expression has been shown to be effective in addressing alloreactivity and avoiding graft versus host disease (GVHD). Platforms including transcription activator-like effector nucleases (TALENs), homing endonucleases and clustered regularly interspersed short palindromic repeats (CRISPR) / Cas9 have allowed multiplex editing of TCR genes in combination with CD52, the target antigen of alemtuzumab, as a strategy to evade lymphodepletion used to prevent host v graft rejection effects. Alternative approaches have targeted pathways to prevent HLA expression on donor T cells, and have also allowed targeted insertion of CAR genes, including placing transgene expression under the control of endogenous transcriptional machinery. These tools have rapidly progressed to clinical trials, and applications have extended beyond B-cell malignancies, showing promising early results in other settings, including relapsed/refractory(r/r) T-cell leukaemia. Short term immunological effects and toxicities have been generally manageable, and long-term monitoring is ongoing to help build confidence in safety over time.

Delivery of Interferon β-Encoding Plasmid via Lipid Nanoparticle Restores Interferon β Expression to Enhance Antitumor Immunity in Colon Cancer.

Type I interferon (IFN-I) plays a critical role in host cancer immunosurveillance, but its expression is often impaired in the tumor microenvironment. We aimed at testing the hypothesis that cationic lipid nanoparticle delivery of interferon β (IFNβ)-encoding plasmid to tumors is effective in restoring IFNβ expression to suppress tumor immune evasion. We determined that IFN-I function in tumor suppression depends on the host immune cells. IFN-I activates the expression of Cxcl9 and Cxcl10 to enhance T cell tumor infiltration. RNA-Seq detected a low level of IFNα13 and IFNβ in colon tumor tissue. scRNA-Seq revealed that IFNβ is expressed in immune cell subsets in non-neoplastic human tissues and to a lesser degree in human colon tumor tissues. Forced expression of IFNα13 and IFNβ in colon tumor cells up-regulates major histocompatibility complex I (MHC I) expression and suppresses colon tumor growth in vivo. In human cancer patients, IFNβ expression is positively correlated with human leukocyte antigen (HLA) expression, and IFN-I signaling activation correlates with the patient response to PD-1 blockade immunotherapy. To translate this finding to colon cancer immunotherapy, we formulated a 1,2-dioleoyl-3-trimethylammonium propane (DOTAP)-cholesterol-encapsulated IFNβ-encoding plasmid (IFNBCOL01). IFNBCOL01 transfects colon tumor cells to express IFNβ to increase the level of MHC I expression. IFNBCOL01 therapy transfects tumor cells and tumor-infiltrating immune cells to produce IFNβ to activate MHC I and granzyme B expression and inhibits colon tumor growth in mice. Our data determine that lipid nanoparticle delivery of IFNβ-encoding plasmid DNA enhances tumor immunogenicity and T cell effector function to suppress colon tumor growth in vivo.

Abstract B034: Characterization of MHC-I-mediated immune evasion in triple-negative breast cancer using human transcriptomic datasets and immunocompetent mouse models

Abstract In Triple-Negative Breast Cancer (TNBC) patients, adaptive immune system activity in the tumor microenvironment is associated with improved prognosis. However, tumors can evolve to evade immune detection, likely leading to worse patient outcomes. Multi-omic data of paired primary and metastatic breast tumors demonstrate that TNBC metastases frequently lose expression of genes involved in major histocompatibility complex class I (MHC-I) antigen presentation, a key pathway for adaptive immune activation (PMID: 36585450). Therefore, understanding and addressing MHC-I-mediated immune evasion may have profound clinical benefits for TNBC patients. We hypothesize that breast tumor MHC-I loss results in a unique immune-evasive phenotype, which we are characterizing using human clinical datasets and immunocompetent mouse models of breast cancer. First, using large transcriptomic datasets (i.e., SCAN-B and TCGA), we are characterizing molecular and clinical features of MHC-I-low human breast tumors using expression of the MHC-I gene human leukocyte antigen A (HLA-A) as a continuous variable. We found HLA-A expression varies significantly between PAM50 molecular and clinical subtypes of breast cancer and has differing impacts on patient survival based on clinical subtype. In TNBCs, low HLA-A expression is associated with worse outcomes, while in HR+/HER2- tumors, low HLA-A predicts improved outcomes. We also identified genes highly correlated with HLA-A regardless of molecular subtype. This list was functionally rich, related to antigen processing machinery, adaptive immune-mediated cytotoxicity, and T cell exhaustion features. To complement human genomic data, we are empirically testing the role of MHC-I in syngeneic mouse mammary tumor models by individually knocking out murine MHC-I genes–H2-K, H2-D, and B2m–through CRISPR/Cas9-mediated genome editing. We have generated and validated knockouts (KOs) of H2-K and B2m, as well as empty vector control clones from the “immune-hot” and immune checkpoint inhibitor (ICI) responsive mammary tumor cell lines KPB25L-UV and T11-APOBEC. RNA sequencing of KPB25L-UV H2-K and B2m KO versus wildtype cell lines in vitro identified lists of differentially expressed genes, many of which are related to proteolytic and peptide antigen processing. Next, these CRISPR-modified cell lines were injected into the mammary fat pad of syngeneic immunocompetent mice, and the resulting tumors were harvested for RNA sequencing. Differentially expressed genes in KPB25L-UV H2-K KO versus wildtype tumors were related to increased MHC Class II antigen presentation and dendritic cell activity. Preliminary data suggests that mice bearing KPB25L-UV H2-K KO tumors have shortened survival compared to H2-K wildtype tumors. Experiments are ongoing to further characterize the growth dynamics, metastatic potential, single-cell transcriptomic profiles, and ICI sensitivities of these KO tumors in vivo. Our long-term goal is to identify therapeutic means to overcome this common immune-evasive phenotype to improve TNBC patient outcomes. Citation Format: Constandina E O'Connell, Brooke M Felsheim, Aranzazu Fernandez-Martinez, Kevin R Mott, Charles M Perou. Characterization of MHC-I-mediated immune evasion in triple-negative breast cancer using human transcriptomic datasets and immunocompetent mouse models [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr B034.

Major histocompatibility complex (MHC) gene frequency in acquired dermal macular hyperpigmentation: a case control study.

Human leukocyte antigen (HLA) allele frequencies have a known association with the pathogenesis of various autoimmune diseases. We recruited 31 Indian patients of acquired dermal macular hyperpigmentation (ADMH) and 60 unrelated, age-and-gender-matched healthy controls. After history and clinical examination, 5 ml of blood in EDTA vials was collected. These samples were subjected to DNA extraction and the expression of HLA A, B, C, DR, DQ-A, and DQ-B was studied. There was a predominance of females with a gender ratio of 23 : 8 and the most common phototype was Fitzpatrick type IV (83.9%). There was a significant association of HLA A*03:01 (OR: 5.8, CI: 1.7-17.0, P = 0.005), HLA B*07:02 (OR: 5.3, CI: 1.9-14.6, P = 0.003), HLA C*07:02 (OR: 4.3, CI: 1.8-9.6, P = 0.001), HLA DRB1*10:01 (OR: 7.6, CI: 1.7-38.00, P = 0.022), and HLA DRB1*15:02 (OR: 31.0, CI: 4.4-341.8, P < 0.001) with patients compared to controls, whereas HLA DQB*03:01 was less associated with patients compared to controls (OR: 0.2, CI: 0.0-0.6, P = 0.009). Patients with ADMH are more likely to have the HLA A*03:01, HLA B 07*02, HLA C*07:02, HLA DRB1*10:01, HLA DRB1*15:02 and less likely to have the HLA DQB*03:01 allele. Larger cohort studies may thus be conducted studying these specific alleles.

Divergent HLA variations and heterogeneous expression but recurrent HLA loss-of- heterozygosity and common HLA-B and TAP transcriptional silencing across advanced pediatric solid cancers.

The human leukocyte antigen (HLA) system is a major factor controlling cancer immunosurveillance and response to immunotherapy, yet its status in pediatric cancers remains fragmentary. We determined high-confidence HLA genotypes in 576 children, adolescents and young adults with recurrent/refractory solid tumors from the MOSCATO-01 and MAPPYACTS trials, using normal and tumor whole exome and RNA sequencing data and benchmarked algorithms. There was no evidence for narrowed HLA allelic diversity but discordant homozygosity and allele frequencies across tumor types and subtypes, such as in embryonal and alveolar rhabdomyosarcoma, neuroblastoma MYCN and 11q subtypes, and high-grade glioma, and several alleles may represent protective or susceptibility factors to specific pediatric solid cancers. There was a paucity of somatic mutations in HLA and antigen processing and presentation (APP) genes in most tumors, except in cases with mismatch repair deficiency or genetic instability. The prevalence of loss-of-heterozygosity (LOH) ranged from 5.9 to 7.7% in HLA class I and 8.0 to 16.7% in HLA class II genes, but was widely increased in osteosarcoma and glioblastoma (~15-25%), and for DRB1-DQA1-DQB1 in Ewing sarcoma (~23-28%) and low-grade glioma (~33-50%). HLA class I and HLA-DR antigen expression was assessed in 194 tumors and 44 patient-derived xenografts (PDXs) by immunochemistry, and class I and APP transcript levels quantified in PDXs by RT-qPCR. We confirmed that HLA class I antigen expression is heterogeneous in advanced pediatric solid tumors, with class I loss commonly associated with the transcriptional downregulation of HLA-B and transporter associated with antigen processing (TAP) genes, whereas class II antigen expression is scarce on tumor cells and occurs on immune infiltrating cells. Patients with tumors expressing sufficient HLA class I and TAP levels such as some glioma, osteosarcoma, Ewing sarcoma and non-rhabdomyosarcoma soft-tissue sarcoma cases may more likely benefit from T cell-based approaches, whereas strategies to upregulate HLA expression, to expand the immunopeptidome, and to target TAP-independent epitopes or possibly LOH might provide novel therapeutic opportunities in others. The consequences of HLA class II expression by immune cells remain to be established. Immunogenetic profiling should be implemented in routine to inform immunotherapy trials for precision medicine of pediatric cancers.

Abstract A041: Characterizing antigen presentation associated immune escape mechanisms in pancreatic adenocarcinoma using an integrative computational approach

Abstract Introduction: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal neoplasm of the pancreas characterized by a low survival rate and limited treatment options. Despite the success of immunotherapy in various cancer types, its efficacy in PDAC remains low. The underlying reasons for this discrepancy are not fully understood, despite PDAC exhibiting a moderate mutation burden. One possible determinant could be the loss of heterozygosity (LOH) at the human leukocyte antigen (HLA) loci, resulting in compromised antigen presentation. In this work, we aim to identify and validate HLA LOH events in two independent cohorts to gain insights into both their prevalence and clinical and phenotypic impact on PDAC. Methods: We applied LOHHLA, a specialized pipeline to identify HLA LOH events from paired whole genome sequencing to two independent cohorts comprising over 650 patients. We contextualized these results with the paired transcriptome-wide gene expression data and immunohistochemistry stains. In addition, we developed a machine learning classifier to predict HLA LOH from transcriptomic data. We transfer this classifier to single cell RNA sequencing data to identify the impact of (subclonal) HLA LOH on the tumor microenvironment. Results: HLA LOH events occur in approximately 30% of PDAC patients, with about 50% of these deletions being focal deletions. These events are early genetic alterations and lead to a dosage compensation of the retained HLA genes. We observed a significant association between HLA LOH and the Basal PDAC expression subtype. In addition, we find that HLA expression is the most important determinant of lymphocyte infiltration followed by non-LOH at the HLA locus. Moreover, our transcriptomic classifier allowed us to accurately identify HLA LOH events from RNA sequencing data, which we successfully validated in an independent cohort. Finally, we applied this classifier to single cell sequencing data and identified phenotypic differences in multiple compartments of the tumor microenvironment between samples with intact HLA and HLA LOH. Conclusions: In conclusion, our study provides the most in depth characterization of the consequences of altered antigen presentation in PDAC to date. We have demonstrated that HLA LOH occurs in a substantial proportion of patients. Overall, these findings contribute to a better understanding of the immune landscape in PDAC and may have implications for the development of immunotherapeutic strategies tailored to this challenging cancer type. Citation Format: Michael J. Geuenich, Barbara Gruenwald, Amy Zhang, Oumaima Hamza, Gun Ho Jang, Grainne O’Kane, Faiyaz Notta, Steven Gallinger, Kieran R. Campbell. Characterizing antigen presentation associated immune escape mechanisms in pancreatic adenocarcinoma using an integrative computational approach [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr A041.

HLA class I expression on human platelets is highly variable and correlates with distinct allele group frequencies.

Human leukocyte antigen (HLA) class I molecules are expressed on platelets and can represent a source of alloimmunization in recipients of platelet transfusions. HLA mismatch between donors and recipients may be associated with the induction of anti-HLA antibodies, which can culminate in refractoriness to platelet transfusions. In the present study we analyzed HLA allele group frequencies and HLA expression levels on human platelets from blood donors. Platelet-rich plasma was collected from 139 donors to monitor platelet HLA class I expression by flow cytometry. DNA from donors with high and low platelet HLA expression was used in the genotype studies. Frequencies of large and normal-sized platelet subpopulations were determined and HLA class I expression was studied. Mean platelet volume (MPV) and platelet large-cell ratio (P-LCR) were analyzed in both groups of donors. The analysis showed variable platelet HLA class I expression with significant differences among donors. HLA class I allele group frequencies in donors with high and low platelet HLA expression showed distinctive genotypic features strictly related to expression level. The main allele groups found in samples with high platelet HLA class I expression were HLA-A*02, -A*68, -B*15, -B*49, and -C*03. Platelet HLA class I expression did not change over time or during freezing-thawing cycles. The analysis of platelet subpopulations showed a statistically significant higher expression of HLA class I molecules on large platelets than on normal-sized platelets. Moreover, donors with high HLA class I expression showed a higher frequency of large platelets (p<0.0001). The analysis of P-LCR in both groups of donors showed a statistically significant difference (p<0.05) within high HLA-expressing donors. Our data suggest an allele-dependent expression of HLA class I molecules on human platelets with distinct HLA allele group frequencies and different platelet subpopulation frequencies among blood donors.

Understanding the Mode of Action of a Micro-Immunotherapy Formulation: Pre-Clinical Evidence from the Study of 2LEBV® Active Ingredients.

Epstein-Barr virus (EBV) is often kept silent and asymptomatic; however, its reactivation induces a chronic and/or recurrent infection that is associated with numerous diseases, including cancer and inflammation-related disorders. As no specific treatment is currently available, the immune factors-based micro-immunotherapy (MI) medicine 2LEBV® could be considered a valuable therapeutic option to sustain the immune system in EBV reactivation. The present work aimed to investigate, for the first time, the effect of 2LEBV® in several in vitro models of uninfected immune-related cells. 2LEBV® displayed phagocytosis-enhancing capabilities in granulocytes. In human peripheral blood mononuclear cells (PBMCs), it increased the intra- and extra-cellular expression of interleukin (IL)-2. Moreover, it modulated the secretion of other cytokines, increasing IL-4, IL-6, and tumor necrosis factor-α levels or lowering other cytokines levels such as IL-9. Finally, 2LEBV® reduced the expression of human leukocyte antigen (HLA)-II in endothelial cells and macrophages. Although these data are still preliminary and the chosen models do not consider the underlying EBV-reactivation mechanisms, they still provide a better understanding of the mechanisms of action of 2LEBV®, both at functional and molecular levels. Furthermore, they open perspectives regarding the potential targets of 2LEBV® in its employment as a therapeutic intervention for EBV-associated diseases.

NKG2A+CD8+ T cells infiltration determines immunosuppressive contexture and inferior response to immunotherapy in clear cell renal cell carcinoma.

Immunotherapy is gaining momentum, but current treatments have limitations in terms of beneficiaries. Clear cell renal cell carcinoma (ccRCC) harbors the highest expression of human leukocyte antigen E (HLA-E), ligand of NKG2A, among all solid tumors. In this study, we aim to investigate the role of NKG2A+CD8+ T cells in tumor microenvironment and its potential as a novel target in ccRCC. This study included four independent cohorts, including 234 patients from Zhongshan cohort (ZSHC) who underwent partial or radical nephrectomy at Zhongshan Hospital, and 117 metastatic patients from metastatic Zhongshan cohort (ZSHC-metastatic renal cell carcinoma) who were treated with immune checkpoint inhibitor or tyrosine kinase inhibitor alone. We also incorporated a cohort of 530 patients diagnosed with ccRCC from The Cancer Genome Atlas (referred to as TCGA-kidney renal clear cell carcinoma) and 311 patients from CheckMate cohort for bioinformatics exploration and hypothesis validation. Fresh surgical specimens from 15 patients who underwent ccRCC surgery at Zhongshan Hospital were collected for flow cytometry analysis. Another 10 fresh surgical specimens were used to investigate the therapeutic potential of NKG2A blockade after in vitro intervention. The infiltration of NKG2A+CD8+ T cells was assessed using immunohistochemical staining, flow cytometry, and immunofluorescence staining in ZSHC cohort. Patients with higher infiltration of NKG2A+CD8+ T cells in ccRCC exhibited shorter overall survival and resistance to immunotherapy. NKG2A+CD8+ T cells expressed upregulated checkpoint molecules and displayed impaired effector functions, along with tissue-residency characteristics. Combination of programmed cell death protein-1 (PD-1) blockade and NKG2A blockade demonstrated an enhanced capability in reactivating CD8+ T cells effector functions. Intense infiltration of NKG2A+CD8+ T cells were associated with poorer prognosis and response to immunotherapy. NKG2A blockade combined with current immunotherapy exhibited a robust ability to reactivate CD8+ T cells effector functions.

The role of immune checkpoints in antitumor response: a potential antitumor immunotherapy.

Immunotherapy aims to stimulate the immune system to inhibit tumor growth or prevent metastases. Tumor cells primarily employ altered expression of human leukocyte antigen (HLA) as a mechanism to avoid immune recognition and antitumor immune response. The antitumor immune response is primarily mediated by CD8+ cytotoxic T cells (CTLs) and natural killer (NK) cells, which plays a key role in the overall anti-tumor immune response. It is crucial to comprehend the molecular events occurring during the activation and subsequent regulation of these cell populations. The interaction between antigenic peptides presented on HLA-I molecules and the T-cell receptor (TCR) constitutes the initial signal required for T cell activation. Once activated, in physiologic circumstances, immune checkpoint expression by T cells suppress T cell effector functions when the antigen is removed, to ensures the maintenance of self-tolerance, immune homeostasis, and prevention of autoimmunity. However, in cancer, the overexpression of these molecules represents a common method through which tumor cells evade immune surveillance. Numerous therapeutic antibodies have been developed to inhibit immune checkpoints, demonstrating antitumor activity with fewer side effects compared to traditional chemotherapy. Nevertheless, it's worth noting that many immune checkpoint expressions occur after T cell activation and consequently, altered HLA expression on tumor cells could diminish the clinical efficacy of these antibodies. This review provides an in-depth exploration of immune checkpoint molecules, their corresponding blocking antibodies, and their clinical applications.