Systematic discovery and validation of T cell targets directed against oncogenic KRAS mutations.

Oncogenic mutations in KRAS can be recognized by T cells on specific class I human leukocyte antigen (HLA-I) molecules, leading to tumor control. To date, the discovery of T cell targets from KRAS mutations has relied on occasional T cell responses in patient samples or the use of transgenic mice. To overcome these limitations, we have developed a systematic target discovery and validation pipeline. We evaluate the presentation of mutant KRAS peptides on individual HLA-I molecules using targeted mass spectrometry and identify 13 unpublished KRASG12C/D/R/V mutation/HLA-I pairs and nine previously described pairs. We assess immunogenicity, generating T cell responses to nearly all targets. Using cytotoxicity assays, we demonstrate that KRAS-specific T cells and T cell receptors specifically recognize endogenous KRAS mutations. The discovery and validation of T cell targets from KRAS mutations demonstrate the potential for this pipeline to aid the development of immunotherapies for important cancer targets.

Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction.

Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However, there are no reference data to compare these approaches, and the parameters governing tumor epitope immunogenicity remain unclear. Here, we assembled a global consortium wherein each participant predicted immunogenic epitopes from shared tumor sequencing data. 608 epitopes were subsequently assessed for T cell binding in patient-matched samples. By integrating peptide features associated with presentation and recognition, we developed a model of tumor epitope immunogenicity that filtered out 98% of non-immunogenic peptides with a precision above 0.70. Pipelines prioritizing model features had superior performance, and pipeline alterations leveraging them improved prediction performance. These findings were validated in an independent cohort of 310 epitopes prioritized from tumor sequencing data and assessed for T cell binding. This data resource enables identification of parameters underlying effective anti-tumor immunity and is available to the research community.

Tumor infiltrating lymphocytes (TIL) therapy in metastatic melanoma: boosting of neoantigen-specific T cell reactivity and long-term follow-up.

Treatment of metastatic melanoma with autologous tumor infiltrating lymphocytes (TILs) is currently applied in several centers. Robust and remarkably consistent overall response rates, of around 50% of treated patients, have been observed across hospitals, including a substantial fraction of durable, complete responses. PURPOSE: Execute a phase I/II feasibility study with TIL therapy in metastatic melanoma at the Netherlands Cancer Institute, with the goal to assess feasibility and potential value of a randomized phase III trial. EXPERIMENTAL: Ten patients were treated with TIL therapy. Infusion products and peripheral blood samples were phenotypically characterized and neoantigen reactivity was assessed. Here, we present long-term clinical outcome and translational data on neoantigen reactivity of the T cell products. RESULTS: Five out of 10 patients, who were all anti-PD-1 naïve at time of treatment, showed an objective clinical response, including two patients with a complete response that are both ongoing for more than 7 years. Immune monitoring demonstrated that neoantigen-specific T cells were detectable in TIL infusion products from three out of three patients analyzed. For six out of the nine neoantigen-specific T cell responses detected in these TIL products, T cell response magnitude increased significantly in the peripheral blood compartment after therapy, and neoantigen-specific T cells were detectable for up to 3 years after TIL infusion. CONCLUSION: The clinical results from this study confirm the robustness of TIL therapy in metastatic melanoma and the potential role of neoantigen-specific T cell reactivity. In addition, the data from this study supported the rationale to initiate an ongoing multicenter phase III TIL trial.

Sequence-based prediction of SARS-CoV-2 vaccine targets using a mass spectrometry-based bioinformatics predictor identifies immunogenic T cell epitopes.

BACKGROUND: The ongoing COVID-19 pandemic has created an urgency to identify novel vaccine targets for protective immunity against SARS-CoV-2. Early reports identify protective roles for both humoral and cell-mediated immunity for SARS-CoV-2. METHODS: We leveraged our bioinformatics binding prediction tools for human leukocyte antigen (HLA)-I and HLA-II alleles that were developed using mass spectrometry-based profiling of individual HLA-I and HLA-II alleles to predict peptide binding to diverse allele sets. We applied these binding predictors to viral genomes from the Coronaviridae family and specifically focused on T cell epitopes from SARS-CoV-2 proteins. We assayed a subset of these epitopes in a T cell induction assay for their ability to elicit CD8+ T cell responses. RESULTS: We first validated HLA-I and HLA-II predictions on Coronaviridae family epitopes deposited in the Virus Pathogen Database and Analysis Resource (ViPR) database. We then utilized our HLA-I and HLA-II predictors to identify 11,897 HLA-I and 8046 HLA-II candidate peptides which were highly ranked for binding across 13 open reading frames (ORFs) of SARS-CoV-2. These peptides are predicted to provide over 99% allele coverage for the US, European, and Asian populations. From our SARS-CoV-2-predicted peptide-HLA-I allele pairs, 374 pairs identically matched what was previously reported in the ViPR database, originating from other coronaviruses with identical sequences. Of these pairs, 333 (89%) had a positive HLA binding assay result, reinforcing the validity of our predictions. We then demonstrated that a subset of these highly predicted epitopes were immunogenic based on their recognition by specific CD8+ T cells in healthy human donor peripheral blood mononuclear cells (PBMCs). Finally, we characterized the expression of SARS-CoV-2 proteins in virally infected cells to prioritize those which could be potential targets for T cell immunity. CONCLUSIONS: Using our bioinformatics platform, we identify multiple putative epitopes that are potential targets for CD4+ and CD8+ T cells, whose HLA binding properties cover nearly the entire population. We also confirm that our binding predictors can predict epitopes eliciting CD8+ T cell responses from multiple SARS-CoV-2 proteins. Protein expression and population HLA allele coverage, combined with the ability to identify T cell epitopes, should be considered in SARS-CoV-2 vaccine design strategies and immune monitoring.

Radiotherapy and Cisplatin Increase Immunotherapy Efficacy by Enabling Local and Systemic Intratumoral T-cell Activity.

To increase cancer immunotherapy success, PD-1 blockade must be combined with rationally selected treatments. Here, we examined, in a poorly immunogenic mouse breast cancer model, the potential of antibody-based immunomodulation and conventional anticancer treatments to collaborate with anti-PD-1 treatment. One requirement to improve anti-PD-1-mediated tumor control was to promote tumor-specific cytotoxic T-cell (CTL) priming, which was achieved by stimulating the CD137 costimulatory receptor. A second requirement was to overrule PD-1-unrelated mechanisms of CTL suppression in the tumor microenvironment (TME). This was achieved by radiotherapy and cisplatin treatment. In the context of CD137/PD-1-targeting immunotherapy, radiotherapy allowed for tumor elimination by altering the TME, rather than intrinsic CTL functionality. Combining this radioimmunotherapy regimen with low-dose cisplatin improved CTL-dependent regression of a contralateral tumor outside the radiation field. Thus, systemic tumor control may be achieved by combining immunotherapy protocols that promote T-cell priming with (chemo)radiation protocols that permit CTL activity in both the irradiated tumor and (occult) metastases.

Neoantigen landscape dynamics during human melanoma-T cell interactions.

Recognition of neoantigens that are formed as a consequence of DNA damage is likely to form a major driving force behind the clinical activity of cancer immunotherapies such as T-cell checkpoint blockade and adoptive T-cell therapy. Therefore, strategies to selectively enhance T-cell reactivity against genetically defined neoantigens are currently under development. In mouse models, T-cell pressure can sculpt the antigenicity of tumours, resulting in the emergence of tumours that lack defined mutant antigens. However, whether the T-cell-recognized neoantigen repertoire in human cancers is constant over time is unclear. Here we analyse the stability of neoantigen-specific T-cell responses and the antigens they recognize in two patients with stage IV melanoma treated by adoptive T-cell transfer. The T-cell-recognized neoantigens can be selectively lost from the tumour cell population, either by overall reduced expression of the genes or loss of the mutant alleles. Notably, loss of expression of T-cell-recognized neoantigens was accompanied by development of neoantigen-specific T-cell reactivity in tumour-infiltrating lymphocytes. These data demonstrate the dynamic interactions between cancer cells and T cells, which suggest that T cells mediate neoantigen immunoediting, and indicate that the therapeutic induction of broad neoantigen-specific T-cell responses should be used to avoid tumour resistance.

Targeting of cancer neoantigens with donor-derived T cell receptor repertoires.

Accumulating evidence suggests that clinically efficacious cancer immunotherapies are driven by T cell reactivity against DNA mutation-derived neoantigens. However, among the large number of predicted neoantigens, only a minority is recognized by autologous patient T cells, and strategies to broaden neoantigen-specific T cell responses are therefore attractive. We found that naïve T cell repertoires of healthy blood donors provide a source of neoantigen-specific T cells, responding to 11 of 57 predicted human leukocyte antigen (HLA)-A*02:01-binding epitopes from three patients. Many of the T cell reactivities involved epitopes that in vivo were neglected by patient autologous tumor-infiltrating lymphocytes. Finally, T cells redirected with T cell receptors identified from donor-derived T cells efficiently recognized patient-derived melanoma cells harboring the relevant mutations, providing a rationale for the use of such "outsourced" immune responses in cancer immunotherapy.

Antigen-specific TIL therapy for melanoma: A flexible platform for personalized cancer immunotherapy.

Tumor infiltrating lymphocyte (TIL) therapy has shown objective clinical response rates of 50% in stage IV melanoma patients in a number of clinical trials. Nevertheless, the majority of patients progress either directly upon therapy or after an initial period of tumor control. Recent data have shown that most TIL products that are used for therapy contain only low frequencies of T cells reactive against known melanoma-associated epitopes. Because of this, the development of a technology to create T-cell products that are enriched for reactivity against defined melanoma-associated antigens would seem valuable, both to evaluate the tumoricidal potential of T cells directed against different antigen classes and to potentially increase response rates. Here, we developed and validated a conditional MHC streptamer-based platform for the creation of TIL products with defined antigen reactivities. We have used this platform to successfully enrich both high-frequency (≥1%) and low-frequency (<1%) tumor-specific CD8(+) T-cell populations, and thereby created T-cell products with enhanced tumor recognition potential. Collectively, these data demonstrate that selection of antigen-specific T-cell populations can be used to create defined T-cell products for clinical use. This strategy thus forms a highly flexible platform for the development of antigen-specific cell products for personalized cancer immunotherapy.

Bystander hyperactivation of preimmune CD8+ T cells in chronic HCV patients.

Chronic infection perturbs immune homeostasis. While prior studies have reported dysregulation of effector and memory cells, little is known about the effects on naïve T cell populations. We performed a cross-sectional study of chronic hepatitis C (cHCV) patients using tetramer-associated magnetic enrichment to study antigen-specific inexperienced CD8(+) T cells (i.e., tumor or unrelated virus-specific populations in tumor-free and sero-negative individuals). cHCV showed normal precursor frequencies, but increased proportions of memory-phenotype inexperienced cells, as compared to healthy donors or cured HCV patients. These observations could be explained by low surface expression of CD5, a negative regulator of TCR signaling. Accordingly, we demonstrated TCR hyperactivation and generation of potent CD8(+) T cell responses from the altered T cell repertoire of cHCV patients. In sum, we provide the first evidence that naïve CD8(+) T cells are dysregulated during cHCV infection, and establish a new mechanism of immune perturbation secondary to chronic infection.

Biomarkers in cancer immunotherapy.

Antibodies against T cell checkpoint molecules have started to revolutionize cancer treatment. Nevertheless, less than half of all patients respond to these immunotherapies. Recent work supports the potential value of biomarkers that predict therapy outcome and inspires the development of assay systems that interrogate other aspects of the cancer-immunity cycle.

High-throughput epitope discovery reveals frequent recognition of neo-antigens by CD4+ T cells in human melanoma.

Tumor-specific neo-antigens that arise as a consequence of mutations are thought to be important for the therapeutic efficacy of cancer immunotherapies. Accumulating evidence suggests that neo-antigens may be commonly recognized by intratumoral CD8+ T cells, but it is unclear whether neo-antigen-specific CD4+ T cells also frequently reside within human tumors. In view of the accepted role of tumor-specific CD4+ T-cell responses in tumor control, we addressed whether neo-antigen-specific CD4+ T-cell reactivity is a common property in human melanoma.

High sensitivity of cancer exome-based CD8 T cell neo-antigen identification.

Recent data suggest that T-cell reactivity against tumor-specific neo-antigens may be central to the clinical efficacy of cancer immunotherapy. The development of personalized vaccines designed to boost T-cell reactivity against patient specific neo-antigens has been proposed largely on the basis of these findings. Work from several groups has demonstrated that novel tumor-specific antigens can be discovered through the use of cancer exome sequencing data, thereby providing a potential pipeline for the development of patient-specific vaccines. Importantly though, it has not been established which fraction of cancer neo-antigens that can be recognized by CD8+ T cells is successfully uncovered with the current exome-based epitope prediction strategies. Here, we use a data set comprising human cancer neo-antigens that was previously identified through the use of unbiased, computational-independent strategies to describe the potential of cancer exome-based neo-antigen discovery. This analysis shows a high sensitivity of exome-guided neo-antigen prediction of approximately 70%. We propose that future research should focus on the analysis and optimization of the specificity of neo-antigen prediction, and should undoubtedly entail the clinical evaluation of patient-specific vaccines with the aim of inducing immunoreactivity against tumor-displayed neo-antigens in a physiologically relevant context.

HLA micropolymorphisms strongly affect peptide-MHC multimer-based monitoring of antigen-specific CD8+ T cell responses.

Peptide-MHC (pMHC) multimers have become one of the most widely used tools to measure Ag-specific T cell responses in humans. With the aim of understanding the requirements for pMHC-based personalized immunomonitoring, in which individuals expressing subtypes of the commonly studied HLA alleles are encountered, we assessed how the ability to detect Ag-specific T cells for a given peptide is affected by micropolymorphic differences between HLA subtypes. First, analysis of a set of 10 HLA-A*02:01-restricted T cell clones demonstrated that staining with pMHC multimers of seven distinct subtypes of the HLA-A*02 allele group was highly variable and not predicted by sequence homology. Second, to analyze the effect of minor sequence variation in a clinical setting, we screened tumor-infiltrating lymphocytes of an HLA-A*02:06 melanoma patient with either subtype-matched or HLA-A*02:01 multimers loaded with 145 different melanoma-associated Ags. This revealed that of the four HLA-A*02:06-restricted melanoma-associated T cell responses observed in this patient, two responses were underestimated and one was overlooked when using subtype-mismatched pMHC multimer collections. To our knowledge, these data provide the first demonstration of the strong effect of minor sequence variation on pMHC-based personalized immunomonitoring, and they provide tools to prevent this issue for common variants within the HLA-A*02 allele group.

Human cancer regression antigens.

Cytotoxic T-cells can recognize antigens that are presented on the surface of human tumor cells and thereby mediate cancer regression. Importantly, those immune interventions that have thus far proven most successful in the clinic-i.e. checkpoint blockade and tumor-infiltrating lymphocyte (TIL) therapy-enhance T-cell activity without a deliberate focus on specific antigens. Thus, one major question remains unsolved: what is the nature of the antigens that need to be recognized on human cancer to result in tumor control? Here we discuss the repertoire of human tumor antigens by three main parameters. Firstly, the extent to which these antigens are shared by larger patient groups; secondly, the degree of tumor-restrictive expression; and finally, the likelihood of antigen loss the moment selection pressure is applied. Using this framework, we describe those classes of antigens that can be considered preferable targets in both active and passive T-cell based cancer immunotherapy.

TIL therapy broadens the tumor-reactive CD8(+) T cell compartment in melanoma patients.

There is strong evidence that both adoptive T cell transfer and T cell checkpoint blockade can lead to regression of human melanoma. However, little data are available on the effect of these cancer therapies on the tumor-reactive T cell compartment. To address this issue we have profiled therapy-induced T cell reactivity against a panel of 145 melanoma-associated CD8(+) T cell epitopes. Using this approach, we demonstrate that individual tumor-infiltrating lymphocyte cell products from melanoma patients contain unique patterns of reactivity against shared melanoma-associated antigens, and that the combined magnitude of these responses is surprisingly low. Importantly, TIL therapy increases the breadth of the tumor-reactive T cell compartment in vivo, and T cell reactivity observed post-therapy can almost in full be explained by the reactivity observed within the matched cell product. These results establish the value of high-throughput monitoring for the analysis of immuno-active therapeutics and suggest that the clinical efficacy of TIL therapy can be enhanced by the preparation of more defined tumor-reactive T cell products.