T-cell Receptor Repertoire Research Articles

The allopurinol metabolite, oxypurinol, drives oligoclonal expansions of drug-reactive T cells in resolved hypersensitivity cases and drug-naïve healthy donors.

Allopurinol (ALP) is a successful drug used in the treatment of gout. However, this drug has been implicated in hypersensitivity reactions that can cause severe to life-threatening reactions such as Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN). Individuals who carry the human leukocyte antigen (HLA)-B*58:01 allotype are at higher risk of experiencing a hypersensitivity reaction (odds ratios ranging from 5.62 to 580.3 for mild to severe reactions, respectively). In addition to the parent drug, the metabolite oxypurinol (OXP) is implicated in triggering T cell-mediated immunopathology via a labile interaction with HLA-B*58:01. To date, there has been limited information regarding the T-cell receptor (TCR) repertoire usage of reactive T cells in patients with ALP-induced SJS or TEN and, in particular, there are no reports examining paired αβTCRs. Here, using in vitro drug-treated PBMCs isolated from both resolved ALP-induced SJS/TEN cases and drug-naïve healthy donors, we show that OXP is the driver of CD8+ T cell-mediated responses and that drug-exposed memory T cells can exhibit a proinflammatory immunophenotype similar to T cells described during active disease. Furthermore, this response supported the pharmacological interaction with immune receptors (p-i) concept by showcasing (i) the labile metabolite interaction with peptide/HLA complexes, (ii) immunogenic complex formation at the cell surface, and (iii) lack of requirement for antigen processing to elicit drug-induced T cell responsiveness. Examination of paired OXP-induced αβTCR repertoires highlighted an oligoclonal and private clonotypic profile in both resolved ALP-induced SJS/TEN cases and drug-naïve healthy donors.

Factors regulating the differences in frequency of infiltration of Th17 and Treg of the blood-brain barrier.

Controlling CD4+ immune cell infiltration of the brain is a leading aim in designing therapeutic strategies for a range of neuropathological disorders such as multiple sclerosis, Alzheimer's disease, and depression. CD4+ T cells are a highly heterogeneous and reprogrammable family, which includes various distinctive cell types such as Th17, Th1, and Treg cells. Interestingly Th17 and Treg cells share a related transcriptomic profile, where the TGFβ-SMADS pathway plays a fundamental role in regulating the differentiation of both of these cell types. However, Th17 could be highly pathogenic and was shown to promote inflammation in various neuropathological disorders. Conversely, Treg is anti-inflammatory and is known to inhibit Th17. It could be noticed that Th17 frequencies of infiltration of the blood-brain barrier in various neurological disorders are significantly upregulated. However, Treg infiltration numbers are significantly low. The reasons behind these contradicting observations are still unknown. In this perspective, we propose that the difference in the T-cell receptor repertoire diversity, diapedesis pathways, chemokine expression, and mechanical properties of these two cell types could be contributing to answering this intriguing question.

Immune Repertoire Profiling Reveals Its Clinical Application Potential and Triggers for Neuromyelitis Optica Spectrum Disorders.

Neuromyelitis optica spectrum disorders (NMOSD) is widely recognized as a CNS demyelinating disease associated with AQP4-IgG (T cell-dependent antibody), and its trigger is still unclear. In addition, although the treatment of NMOSD currently can rely on traditional immunosuppressive and modulating agents, effective methods to predict the efficacy of these therapeutics are lacking. In this study, high-throughput T-cell receptor (TCR) sequencing was performed on peripheral blood from 151 pretreatment patients with AQP4-IgG+ NMOSD and 151 healthy individuals. We compared the TCR repertoire of those with NMOSD with that of healthy individuals and identified TCR clones that were significantly enriched in NMOSD. In addition, we treated 28 patients with AQP4-IgG+ NMOSD with immunosuppressants and followed up for 6 months to compare changes in NMOSD-specific TCRs (NMOSD-TCRs) before and after treatment. Moreover, we analyzed transcriptome and single-cell B-cell receptor (BCR) data from public databases and performed T-cell activation experiments using antigenic epitopes of cytomegalovirus (CMV) to further explore the triggers of AQP4-IgG+ NMOSD. Compared with healthy controls, patients with AQP4-IgG+ NMOSD had significantly reduced diversity and shorter CDR3 length of TCRβ repertoire. Furthermore, we identified 597 NMOSD-TCRs with a high sequence similarity that have the potential to be used in the diagnosis and prognosis of NMOSD. The characterization of NMOSD-TCRs and pathology-associated clonotype annotation indicated that the occurrence of AQP4-IgG+ NMOSD may be associated with CMV infection, which was further corroborated by transcriptome and single-cell BCR analysis results from public databases and T-cell activation experiments. Our findings suggest that the occurrence of AQP4-IgG+ NMOSD may be associated with CMV infection. In conclusion, our study provides new clues to uncover the causative factors of AQP4-IgG+ NMOSD and provides a theoretical foundation for treating and monitoring the disease.

T cell receptor β repertoires in patients with COVID-19 reveal disease severity signatures.

The immune responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are crucial in maintaining a delicate balance between protective effects and harmful pathological reactions that drive the progression of coronavirus disease 2019 (COVID-19). T cells play a significant role in adaptive antiviral immune responses, making it valuable to investigate the heterogeneity and diversity of SARS-CoV-2-specific T cell responses in COVID-19 patients with varying disease severity. In this study, we employed high-throughput T cell receptor (TCR) β repertoire sequencing to analyze TCR profiles in the peripheral blood of 192 patients with COVID-19, including those with moderate, severe, or critical symptoms, and compared them with 81 healthy controls. We specifically focused on SARS-CoV-2-associated TCR clonotypes. We observed a decrease in the diversity of TCR clonotypes in COVID-19 patients compared to healthy controls. However, the overall abundance of dominant clones increased with disease severity. Additionally, we identified significant differences in the genomic rearrangement of variable (V), joining (J), and VJ pairings between the patient groups. Furthermore, the SARS-CoV-2-associated TCRs we identified enabled accurate differentiation between COVID-19 patients and healthy controls (AUC > 0.98) and distinguished those with moderate symptoms from those with more severe forms of the disease (AUC > 0.8). These findings suggest that TCR repertoires can serve as informative biomarkers for monitoring COVID-19 progression. Our study provides valuable insights into TCR repertoire signatures that can be utilized to assess host immunity to COVID-19. These findings have important implications for the use of TCR β repertoires in monitoring disease development and indicating disease severity.

Breakthrough infection evokes the nasopharyngeal innate immune responses established by SARS-CoV-2-inactivated vaccine.

Nasopharyngeal immune responses are vital for defense against SARS-CoV-2 infection. Although vaccination via muscle immunization has shown a high efficacy in reducing severity and death in COVID-19 infection, breakthrough infection frequently happens because of mutant variants and incompletely established mucosal immunity, especially in the upper respiratory tract. Here, we performed a single-cell RNA and T-cell receptor repertoire sequencing and delineated a high-resolution transcriptome landscape of nasopharyngeal mucosal immune and epithelial cells in vaccinated persons with breakthrough infection and non-vaccinated persons with natural infection as control. The epithelial cells showed anti-virus gene expression diversity and potentially recruited innate immune cells into the nasopharyngeal mucous of vaccinated patients. Upon infection, they released significant pro-inflammatory cytokines and chemokines by macrophages and monocytes and expressed antigen-presenting relevant genes by dendritic cells. Such immune responses of nasopharyngeal innate immune cells would facilitate the strengthened expression of cytotoxic genes in virus-specific T-cell or B-cell differentiation into antibody-secreting cells at the early stage of breakthrough infection through cell interaction between innate and adaptive immune cells. Notably, these alterations of nasopharyngeal immune cells in breakthrough infection depended on the activated Nuclear factor-κB (NF-κB) and NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) signaling rather than type I interferon responses due to the general reduction in interferon-stimulated gene expression. Our findings suggest that vaccination potentially strengthens innate immune barriers and virus-specific memory immune cell responses, which could be quickly activated to defend against variant breakthrough infection and maintain nasopharyngeal epithelial cell integrity. Thus, this study highlights the necessity of a boost via nasal mucous after intramuscular immunization.

Radiation dose, schedule, and novel systemic targets for radio-immunotherapy combinations.

Immunotherapy combinations are being investigated to expand the benefit of immune checkpoint blockade across many cancer types. Radiation combinations, in particular using stereotactic body radiotherapy, are of keen interest because of underlying mechanistic rationale, safety, and availability as a standard of care in certain cancers. In addition to direct tumor cytotoxicity, radiation therapy has immunomodulatory effects such as induction of immunogenic cell death, enhancement of antigen presentation, and expansion of the T-cell receptor repertoire as well as recruitment and increased activity of tumor-specific effector CD8+ cells. Combinations of radiation with cytokines and/or chemokines and anti-programmed death 1 and anticytotoxic T-lymphocyte antigen 4 therapies have demonstrated safety and feasibility, as well as the potential to improve long-term outcomes and possibly induce out of irradiated field or abscopal responses. Novel immunoradiotherapy combinations represent a promising therapeutic approach to overcome radioresistance and further enhance systemic immunotherapy. Potential benefits include reversing CD8+ T-cell exhaustion, inhibiting myeloid-derived suppressor cells, and reversing M2 macrophage polarization as well as decreasing levels of colony-stimulating factor-1 and transforming growth factor-β. Here, we discuss current data and mechanistic rationale for combining novel immunotherapy agents with radiation therapy.

A current and future perspective on T cell receptor repertoire profiling.

T cell receptors (TCR) play a vital role in the immune system's ability to recognize and respond to foreign antigens, relying on the highly polymorphic rearrangement of TCR genes. The recognition of autologous peptides by adaptive immunity may lead to the development and progression of autoimmune diseases. Understanding the specific TCR involved in this process can provide insights into the autoimmune process. RNA-seq (RNA sequencing) is a valuable tool for studying TCR repertoires by providing a comprehensive and quantitative analysis of the RNA transcripts. With the development of RNA technology, transcriptomic data must provide valuable information to model and predict TCR and antigen interaction and, more importantly, identify or predict neoantigens. This review provides an overview of the application and development of bulk RNA-seq and single-cell (SC) RNA-seq to examine the TCR repertoires. Furthermore, discussed here are bioinformatic tools that can be applied to study the structural biology of peptide/TCR/MHC (major histocompatibility complex) and predict antigenic epitopes using advanced artificial intelligence tools.

A novel statistical method for decontaminating T-cell receptor sequencing data.

The T-cell receptor (TCR) repertoire is highly diverse among the population and plays an essential role in initiating multiple immune processes. TCR sequencing (TCR-seq) has been developed to profile the T cell repertoire. Similar to other high-throughput experiments, contamination can happen during several steps of TCR-seq, including sample collection, preparation and sequencing. Such contamination creates artifacts in the data, leading to inaccurate or even biased results. Most existing methods assume 'clean' TCR-seq data as the starting point with no ability to handle data contamination. Here, we develop a novel statistical model to systematically detect and remove contamination in TCR-seq data. We summarize the observed contamination into two sources, pairwise and cross-cohort. For both sources, we provide visualizations and summary statistics to help users assess the severity of the contamination. Incorporating prior information from 14 existing TCR-seq datasets with minimum contamination, we develop a straightforward Bayesian model to statistically identify contaminated samples. We further provide strategies for removing the impacted sequences to allow for downstream analysis, thus avoiding any need to repeat experiments. Our proposed model shows robustness in contamination detection compared with a few off-the-shelf detection methods in simulation studies. We illustrate the use of our proposed method on two TCR-seq datasets generated locally.

Universal open MHC-I molecules for rapid peptide loading and enhanced complex stability across HLA allotypes

The polymorphic nature and intrinsic instability of class I major histocompatibility complex (MHC-I) and MHC-like molecules loaded with suboptimal peptides, metabolites, or glycolipids presents a fundamental challenge for identifying disease-relevant antigens and antigen-specific T cell receptors (TCRs), hindering the development of autologous therapeutics. Here, we leverage the positive allosteric coupling between the peptide and light chain (β2 microglobulin, β2m) subunits for binding to the MHC-I heavy chain (HC) through an engineered disulfide bond bridging conserved epitopes across the HC/β2m interface, to generate conformationally stable, peptide-receptive molecules named "open MHC-I." Biophysical characterization shows that open MHC-I molecules are properly folded protein complexes of enhanced thermal stability compared to the wild type when loaded with low- to moderate-affinity peptides. Using solution NMR, we characterize the effects of the disulfide bond on the conformation and dynamics of the MHC-I structure, ranging from local changes in β2m-interacting sites of the peptide-binding groove to long-range effects on the α2-1 helix and α3 domain. The interchain disulfide bond stabilizes MHC-I molecules in an open conformation to promote peptide exchange across multiple human leukocyte antigen (HLA) allotypes, covering representatives from five HLA-A supertypes, six HLA-B supertypes, and oligomorphic HLA-Ib molecules. Our structure-guided design, combined with conditional β-peptide ligands, provides a universal platform to generate ready-to-load MHC-I systems of enhanced stability, enabling a range of approaches to screen antigenic epitope libraries and probe polyclonal TCR repertoires covering highly polymorphic HLA-I allotypes, as well as oligomorphic nonclassical molecules.

Rigorous benchmarking of T-cell receptor repertoire profiling methods for cancer RNA sequencing.

The ability to identify and track T-cell receptor (TCR) sequences from patient samples is becoming central to the field of cancer research and immunotherapy. Tracking genetically engineered T cells expressing TCRs that target specific tumor antigens is important to determine the persistence of these cells and quantify tumor responses. The available high-throughput method to profile TCR repertoires is generally referred to as TCR sequencing (TCR-Seq). However, the available TCR-Seq data are limited compared with RNA sequencing (RNA-Seq). In this paper, we have benchmarked the ability of RNA-Seq-based methods to profile TCR repertoires by examining 19 bulk RNA-Seq samples across 4 cancer cohorts including both T-cell-rich and T-cell-poor tissue types. We have performed a comprehensive evaluation of the existing RNA-Seq-based repertoire profiling methods using targeted TCR-Seq as the gold standard. We also highlighted scenarios under which the RNA-Seq approach is suitable and can provide comparable accuracy to the TCR-Seq approach. Our results show that RNA-Seq-based methods are able to effectively capture the clonotypes and estimate the diversity of TCR repertoires, as well as provide relative frequencies of clonotypes in T-cell-rich tissues and low-diversity repertoires. However, RNA-Seq-based TCR profiling methods have limited power in T-cell-poor tissues, especially in highly diverse repertoires of T-cell-poor tissues. The results of our benchmarking provide an additional appealing argument to incorporate RNA-Seq into the immune repertoire screening of cancer patients as it offers broader knowledge into the transcriptomic changes that exceed the limited information provided by TCR-Seq.

Prospects of Cytomegalovirus-Specific T-Cell Receptors in Clinical Diagnosis and Therapy.

Human cytomegalovirus (HCMV) is responsible for widespread infections worldwide. In immunocompetent individuals it is typically latent, while infection or reactivation in immunocompromised individuals can result in severe clinical symptoms or even death. Although there has been significant progress in the treatment and diagnosis of HCMV infection in recent years, numerous shortcomings and developmental limitations persist. There is an urgent need to develop innovative, safe, and effective treatments, as well as to explore early and timely diagnostic strategies for HCMV infection. Cell-mediated immune responses are the primary factor controlling HCMV infection and replication, but the protective role of humoral immune responses remains controversial. T-cells, key effector cells of the cellular immune system, are critical for clearing and preventing HCMV infection. The T-cell receptor (TCR) lies at the heart of T-cell immune responses, and its diversity enables the immune system to differentiate between self and non-self. Given the significant influence of cellular immunity on human health and the indispensable role of the TCR in T-cell immune responses, we posit that the impact of TCR on the development of novel diagnostic and prognostic methods, as well as on patient monitoring and management of clinical HCMV infection, will be far-reaching and profound. High-throughput and single-cell sequencing technologies have facilitated unprecedented quantitative detection of TCR diversity. With these current sequencing technologies, researchers have already obtained a vast number of TCR sequences. It is plausible that in the near future studies on TCR repertoires will be instrumental in assessing vaccine efficacy, immunotherapeutic strategies, and the early diagnosis of HCMV infection.

The Wiskott-Aldrich syndrome protein is required for positive selection during T-cell lineage differentiation.

The Wiskott-Aldrich syndrome (WAS) is an X-linked primary immune deficiency caused by a mutation in the WAS gene. This leads to altered or absent WAS protein (WASp) expression and function resulting in thrombocytopenia, eczema, recurrent infections, and autoimmunity. In T cells, WASp is required for immune synapse formation. Patients with WAS show reduced numbers of peripheral blood T lymphocytes and an altered T-cell receptor repertoire. In vitro, their peripheral T cells show decreased proliferation and cytokine production upon aCD3/aCD28 stimulation. It is unclear whether these T-cell defects are acquired during peripheral activation or are, in part, generated during thymic development. Here, we assessed the role of WASp during T-cell differentiation using artificial thymic organoid cultures and in the thymus of humanized mice. Although CRISPR/Cas9 WAS knockout hematopoietic stem and progenitor cells (HSPCs) rearranged the T-cell receptor and differentiated to T-cell receptor (TCR)+ CD4+ CD8+ double-positive (DP) cells similar to wild-type HSPCs, a partial defect in the generation of CD8 single-positive (SP) cells was observed, suggesting that WASp is involved in their positive selection. TCR repertoire analysis of the DP and CD8+ SP population, however, showed a polyclonal repertoire with no bias toward autoreactivity. To our knowledge, this is the first study of the role of WASp in human T-cell differentiation and on TCR repertoire generation.

High-dimensional single-cell analysis unveils distinct immune signatures of peripheral blood in patients with pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with poor response to immune checkpoint inhibitors. The mechanism of such poor response is not completely understood. We assessed T-cell receptor (TCR) repertoire and RNA expression at the single-cell level using high-dimensional sequencing of peripheral blood immune cells isolated from PDAC patients and from healthy human controls. We validated RNA-sequencing data by performing mass cytometry (CyTOF) and by measuring serum levels of multiple immune checkpoint proteins. We found that proportions of T cells (CD45+CD3+) were decreased in PDAC patients compared to healthy controls, while proportion of myeloid cells was increased. The proportion of cytotoxic CD8+ T cells and the level of cytotoxicity per cell were increased in PDAC patients, with reduced TCR clonal diversity. We also found a significantly enriched S100A9+ monocyte population and an increased level of TIM-3 expression in immune cells of peripheral blood in PDAC patients. In addition, the serum level of soluble TIM-3 (sTIM-3) was significantly higher in PDAC patients compared to the non-PDAC participants and correlated with worse survival in two independent PDAC cohorts. Moreover, sTIM-3 exhibited a valuable role in diagnosis of PDAC, with sensitivity and specificity of about 80% in the training and validation groups, respectively. We further established an integrated model by combining sTIM-3 and carbohydrate antigen 19- 9 (CA19-9), which had an area under the curve of 0.974 and 0.992 in training and validation cohorts, respectively. Our RNA-seq and proteomic results provide valuable insight for understanding the immune cell composition of peripheral blood of patients with PDAC.

Spatiotemporal commonality of the TCR repertoire in a T-cell memory murine model and in metastatic human colorectal cancer.

Immune checkpoint inhibitors (ICIs) have shown superior clinical responses and significantly prolong overall survival (OS) for many types of cancer. However, some patients exhibit long-term OS, whereas others do not respond to ICI therapy at all. To develop more effective and long-lasting ICI therapy, understanding the host immune response to tumors and the development of biomarkers are imperative. In this study, we established an MC38 immunological memory mouse model by administering an anti-PD-L1 antibody and evaluating the detailed characteristics of the immune microenvironment including the T cell receptor (TCR) repertoire. In addition, we found that the memory mouse can be established by surgical resection of residual tumor following anti-PD-L1 antibody treatment with a success rate of > 40%. In this model, specific depletion of CD8 T cells revealed that they were responsible for the rejection of reinoculated MC38 cells. Analysis of the tumor microenvironment (TME) of memory mice using RNA-seq and flow cytometry revealed that memory mice had a quick and robust immune response to MC38 cells compared with naïve mice. A TCR repertoire analysis indicated that T cells with a specific TCR repertoire were expanded in the TME, systemically distributed, and preserved in the host for a long time period. We also identified shared TCR clonotypes between serially resected tumors in patients with colorectal cancer (CRC). Our results suggest that memory T cells are widely preserved in patients with CRC, and the MC38 memory model is potentially useful for the analysis of systemic memory T-cell behavior.

A differential analysis of TCR repertoire between patients with EGFR-mutant and KRAS-mutant non–small-cell lung cancer.

e21012 Background: T-cell receptor (TCR) repertoire could partially represent tumor micro-environment. EGFR and KRAS are common driver genes mutated and often mutually exclusive in non-small cell lung cancer (NSCLC). There’s a hypothesis that the immune system responds differently according to different mutations. Here we investigated the TCR features, including diversity, clonality, evenness and sequence similarity in EGFR and KRAS mutated NSCLC patients, to better understand the immune response in carcinogenesis. Methods: A total of 71 EGFR-mutant and 31 KRAS-mutant NSCLC tissue samples underwent multiplex PCR based TCR-β sequencing. TCR-β cdr3 amino acid sequences were obtained from the sequencing data using MiXCR and VDJtools. To compare TCR repertoires in EGFR-mutant and KRAS-mutant groups, each assemble CDR3 amino acid sequence was taken as a word, and each repertoire was taken as a document. Each repertoire was compared with every other one as a sample pair. TF-IDF (term frequency-inverse document frequency) document vectors was built for each sample and cosine similarity scores were computed for sample pairs. Results: The total cosine similarity score within EGFR-mutant group is 11.07 and average cosine similarity score is 0.0044±0.01, while in the KRAS-group, the total cosine similarity score is 13.41 and average cosine similarity score is 0.029±0.04. Between these two groups, the total cosine similarity score is 8.76 and average cosine similarity score is 0.0019±0.0009. See table for summary. The intergroup similarity score is significantly less than that within each group respectively (p < 1E10). Conclusions: Our results demonstrated that the TCR repertoire was clearly associated with cancer mutational profile. The mechanism of how mutations affect the immune system and shape the TCR repertoire is yet to be investigated. [Table: see text]

Exploration of biomarkers in potentially resectable stage IIIB NSCLC patients receiving neoadjuvant chemoimmunotherapy.

e20591 Background: Non–small cell lung cancer (NSCLC) is one of the main leading causes of cancer mortality in the world. NSCLC is incurable in most patients with potentially resectable locally advanced stage IIIB disease. Numerous studies suggest that advantageous chemoimmunotherapy is a promising treatment for resectable NSCLC. The determination of PD-L1, T-cell receptor (TCR) repertoire and tumor mutational burden (TMB) have been reported to predict the response to immunotherapy. However, the value of pathologic response determination in the context of neoadjuvant chemoimmunotherapy in resectable stage IIIB NSCLC is limited. Therefore, it is necessary to identify biomarkers for the prediction of the benefit from neoadjuvant chemoimmunotherapy in patients with potentially resectable stage IIIB NSCLC. Methods: A total of 15 patients with potentially resectable clinical stage IIIB NSCLC were enrolled into the study receiving neoadjuvant sintilimab (200mg IV Q3W) plus chemotherapy therapies for 4-6 weeks followed by surgery. All peripheral blood and tissue samples were collected and detected by using TCR repertoire sequencing before and after chemoimmunotherapy. The patients were divided into MPR group (n=5) and non-MPR group (n=10) according to MPR (<10% viable tumour at resection) as an index. Furthermore, TMB spectra of 1021-gene panels and PD-L1 immunohistochemical staining were performed in paraffin-embedded human NSCLC tissue before neoadjuvant chemoimmunotherapy. The Pearson correlation coefficient method was used to analyze correlation. The ROC analysis were performed using “pROC” R package. Results: In baseline tissue samples, the levels of TMB and NAD were higher in MPR compared with non-MPR groups (P=0.0328, P=0.015, respectively). The negative correlation was existed between pretreatment tissue TCR richness and TMB in non-MPR group (P=0.028, R=-0.66). In MPR group, TCR clones and evenness showed significant difference (P=0.00237, P=0.04658, respectively). In non-MPR group, the TCR repertoire of tissue in posttreatment showed significant difference compared with those of pretreatment, including clones (P=1.04x10-6), shannon’s diversity (P=0.00142), evenness (P=0.00433), richness (P=0.00591). The clinical data showed that MPR patients with DDR mutation had longer DFS after sintilimab plus chemotherapy therapies (18.4±5.41 months, X-squared=9.8, P=0.02034). DDR mutation, TMB and TCR richness revealed better sensitivity and specificity to classify patients achieving MPR after neoadjuvant chemoimmunotherapy (AUC=1.000, AUC=0.796, AUC=0.773, respectively). Conclusions: This study confirmed the superiority of neoadjuvant chemoimmunotherapy in patients with potentially resectable stage IIIB NSCLC in terms of MPR. TCR repertoire, TMB and DDR mutation were associated with pathologic response to neoadjuvant chemoimmunotherapy as biomarkers for effective anti-tumor immunity. Clinical trial information: ChiCTR2000040673 .

The peripheral TCR repertoire diversity indexes can be used as an independent indicator for long term survival rate of ovarian cancer patients.

e17558 Background: According to GLOBOCAN 2020 data, ovarian cancer (OC) ranks 19th in incidence and 15th in mortality with a rate of 1.6% and 2.1%, respectively, High-grade serous OC is the most common sub-type of malignant ovarian tumors, remains the leading cause of cancer-related death among all gynecological cancers in the developed parts of the world. In the United States in 2016, 5-year survival rate was only 10-25% in stage III or IV OC patients, and there was considerable variability in survival in an advanced stage. At present, there is no reliable molecular marker to identify patients with better or worse prognosis. As is known to all, the adaptive immune system defends the body against different foreign antigens, using two main types of antigen receptors: T-cell receptors (TCRs) and antibodies. Now we use high-throughput sequencing approach to analyze the expressed TCRβ repertoires in the peripheral blood of OC patients and healthy women donors. Methods: The experimental design and participant recruitment were approved by Medical Ethics Committee of West China Second University Hospital (Ethics Approval for Research: 2022). Total RNA was extracted from PBMC using TRIZOL reagent. High through put sequencing of the TCRβ gene, assignment of the Vβ, Dβ, and Jβ germline gene, and TCR diversity indexes analyses were conducted essentially following our previously published protocols. Statistical analysis and graph drawing were performed using R language (R 4.0.3). Results: Comparison of the TCR repertoires between the 232 OC patients (OC group) and the 250 healthy women donors (HD group) revealed significant differences. For examples, the VJ combinations of the OC group were distinct from those of the HD group. In addition, the TCR repertoire diversity indexes of the OC group were significantly lower than those of the HD group ( p < 0.001), including D50s, Simpson indexes, the number of highly expressed clones (HECs), and the frequencies of the largest TCR clones. As reported before, the TCR repertoire diversity indexes decreased gradually with increasing age in the HD group (all p < 0.001). Moreover, the TCR repertoire diversities in the survival group were significantly higher than those in the death group (D50: p = 0.0342; the number of HECs: p = 0.0414). Using as the cut off value, the OC patients with D50 < 0.032 had significantly higher mortality rates compared to the OC patients with D50 > 0.032 ( p = 0.0019). Similarly, using the numbers of HECs or the frequencies of the largest TCR clones can also distinguish OC patients in long term survival. Conclusions: Analyzing the peripheral TCR repertoires in the OC and HD revealed significant differences, and the peripheral TCR repertoire diversity indexes may be used as a potential predictor for long term survival for ovarian cancer.

Multi-omics analysis to reveal the change of peripheral blood TCR repertoire and tumor burden during neoadjuvant chemotherapy combined with sequential PD-1 blockade for patients with non-small cell lung cancers: A single-center, single-arm phase 2 trial.

e20582 Background: Preoperative neoadjuvant chemotherapy combined with immunotherapy has been applied to the treatment of non-small cell lung cancer (NSCLC). However, the optimal dosage of chemotherapy and sequencing for chemotherapy and immunotherapy remains controversial. Methods: In this single-arm phase 2 trial, patients with stage IB to IIIA resectable NSCLC were enrolled and received 2 cycles of dose-limiting platinum-based chemotherapy (albumin-bound paclitaxel or pemetrexed plus cisplatin or carboplatin) on day 1, combined with sintilimab (200mg) on day 5 before undergoing radical surgery. Combination postoperative adjuvant therapy with the same regimen was administered. The primary endpoints were objective response rate (ORR) and major pathological response (MPR). Biopsies and plasma at different timepoint were collected and performed with RNA sequencing, circulating tumor DNA sequencing and T cell receptor (TCR) sequencing. Results: 17 patients were enrolled. After neoadjuvant treatment, patients with completed response, partial responses and stable diseases were 11.8% (2/17), 70.6% (12/17) and 17.6% (3/17), respectively, yielding an ORR of 82.4%. Radiological downstaging was achieved in 82.4% (14/17) of patients. All patients (17/17, 100%) experienced the R0 resection. Pathologic complete response and MPR were identified in 35.2% (6/17) patients and 23.5% (4/17) patients, respectively. Only 1 of the 17 patients (5.9%) experienced grade 3 or greater adverse event. Multi-omics analysis revealed chemotherapy combined with sequential PD-1 blockade results in the increase of dominated TCR clones and the decrease of the tumor burden. Especially during chemotherapy of cycle 1, the dominated TCR clones were significantly increased, and the maxVAF of ctDNA was significantly decreased. The change between the dominated TCR clones and maxVAF of ctDNA was negatively correlated. Conclusions: In patients with stage IB to IIIA resectable NSCLC, the neoadjuvant therapy with dose-limiting platinum-based chemotherapy combined with sequential sintilimab was safer and resulted in significant antitumor activity in patients with resectable NSCLC. The changes in TCR repertoire and ctDNA during treatment were analyzed, which provided evidence for the rationality of neoadjuvant chemotherapy combined with sequential PD-1 blockade. Clinical trial information: ChiCTR2000033092 .

Single-cell RNA and T cell receptor (TCR) sequencing in patients with HPV-positive head and neck squamous cell carcinoma (HNSCC) after induction CTLA4 and PD-1 immune checkpoint blockade (ICB).

6056 Background: Combination CTLA-4 and PD-1 ICB results in durable responses in patients with recurrent and metastatic HNSCC and therefore justifies further investigation in the induction or neoadjuvant setting. Methods: We investigated features of the tumor immune microenvironment (TIME) associated with MHR after induction CTLA-4 and PD-1 ICB in patients with newly diagnosed HPV-positive HNSCC. Tumor samples were collected at baseline and on treatment from 31 patients enrolled in a phase 2 trial of a 6-week cycle of CTLA-4 and PD-1 ICB induction followed by dose/volume-adapted IMRT (50-66Gy) concurrent with cycle 2. Tumors were evaluated for histological response and single-cell RNA sequencing (scRNA-seq) and scTCR-seq were performed on the 10X genomics platform. After stringent clustering and annotation of scRNA-seq data, 76,319 CD8+ and 78,622 CD4+ T cells with paired TCR sequence data were evaluable for transcriptomic, TCR repertoire and clonotype differentiation analysis. Results: Percent reduction in tumor viability on histology correlated significantly with reduction in tumor cell proportion in scRNA-seq data (R2= 0.7). Thirteen (48%) of 27 patients with paired samples (missing data due to COVID) had MHR, defined as ≤10% residual tumor viability on ICB treatment. Through TCR tracing, over 100 T cell clonotypes that expanded significantly (p < 0.05, Fisher’s exact) post-ICB were identified. Highly expanded clonotypes resided mainly in exhausted CD8+ T cell clusters and exhibited a tissue resident memory (TRM) phenotype. Examination of their functional states revealed a variety of T cell modulatory trajectories, including reverse transition from exhausted to less exhausted states and from memory to functional states. When compared to patients without MHR, those with MHR had significantly higher ICB-induced TCR clonotype expansion (p = 0.025, Wilcoxon), reductions of activated Tregs (p = 0.003, Wilcoxon) and terminally exhausted CD8+ T cells (p = 0.003, Wilcoxon), and increase of polyfunctional CD8+ T cells (p = 0.014, Wilcoxon). A lasso regression model associated T cell expansion, basal 7-gene TRM and 5-gene effector scores, and on-treatment proliferation score and effector cell proportion with percent reduction in tumor viability (R2 = 0.66). Conclusions: In HPV-HNSCC, induction CTLA4 and PD1 ICB lead to extensive reinvigoration of CD8+ T cell clonotypes with both an exhausted and TRM phenotype, revealing a high degree of plasticity of distinct T cell clones. Paired RNA and TCR profiling facilitated identification of potentially tumor reactive and ICB-responsive T cells and clonotypes and identified several TIME features associated with tumor cell death. Clinical trial information: NCT03799445 .

Association of host immune signatures with response to immunotherapy-based regimens in patients with metastatic renal cell carcinoma (mRCC).

4550 Background: Treatment options for mRCC have evolved to include VEGF targeted therapies (VEGF-TT), immune checkpoint inhibitors (ICIs), or combinations of both. The interaction between the tumor and its immune microenvironment has been shown to influence clinical outcomes in patients treated with immunotherapy-based regimens. The aim of this study was to characterize the T-cell and B-cell immune repertoires in patients with mRCC treated with VEGF-TT, ICI or a combination of both, and evaluate their associations with clinical outcomes. Methods: We identified patients with mRCC at Dana-Farber Cancer Institute treated with VEGF-TT, ICI or both, and for whom tumor and/or blood samples were available. Bulk RNA-sequencing (RNA-seq) and T-cell receptor sequencing (TCR-seq) were performed on peripheral blood mononuclear cells (PBMCs), collected before and during therapy. Bulk RNA-seq was additionally performed on available pre-treatment primary tumor samples. Immunoglobulin heavy chain (IgH) isotypes were inferred from bulk RNA-seq data using TRUST4. Parameters of the T-cell and B-cell repertoires were evaluated in responders vs. non-responders to systemic therapies, and between pre- and on-treatment samples within patient subgroups. Results: In total, blood (PBMC) samples from 386 patients were available across all treatment cohorts. Following quality-control, TCR-seq and RNA-seq data were available for 367 and 134 patient samples, respectively. Responders to ICI-based regimens (ICI or VEGF-TT+ICI) presented a trend towards an increased baseline (pre-treatment) TCR clonality as compared to non-responders (p=0.06), corresponding to a less polyclonal T cell repertoire in responders at baseline. No significant changes in clonality were seen between pre- and on-treatment samples among responders to ICI regimens (p=0.14), as opposed to non-responders where a significant increase was identified (p=0.001). The analysis of IgH isotypes in baseline blood samples showed higher fraction of IgG1 in responders (vs. non-responders) to ICI regimens (p=0.01). This was further confirmed in the analysis of IgH isotypes inferred from tumor samples (p=0.04). No significant differences in IgH isotype fractions were identified between responders and non-responders to VEGF-TT. Conclusions: We were successfully able to characterize T-cell receptor and IgH repertoires in a large cohort of patients with mRCC and evaluate their associations with ICI response. Our results show that baseline TCR clonality and IgG1 antibody fraction are associated with the response to ICI regimens, suggesting a potential role for immune biomarker development.