Cell Receptor Research Articles

Innate phase production of IFN-γ by memory and effector T cells expressing early activation marker CD69 during infection with Cryptococcus deneoformans in the lungs.

Cryptococcus deneoformans is a yeast-type fungus that causes fatal meningoencephalitis in immunocompromised patients and evades phagocytic cell elimination through an escape mechanism. Memory T (Tm) cells play a central role in preventing the reactivation of this fungal pathogen. Among these cells, tissue-resident memory T (TRM) cells quickly respond to locally invaded pathogens. This study analyzes the kinetics of effector T (Teff) cells and Tm cells in the lungs after cryptococcal infection. Emphasis is placed on the kinetics and cytokine expression of TRM cells in the early phase of infection. CD4+ Tm cells exhibited a rapid increase by day 3, peaked at day 7, and then either maintained their levels or exhibited a slight decrease until day 56. In contrast, CD8+ Tm cells reached their peak on day 3 and thereafter decreased up to day 56 post-infection. These Tm cells were predominantly composed of CD69+ TRM cells and CD69+ CD103+ TRM cells. Disruption of the CARD9 gene resulted in reduced accumulation of these TRM cells and diminished interferon (IFN) -γ expression in TRM cells. TRM cells were derived from T cells with T cell receptors non-specific to ovalbumin in OT-II mice during cryptococcal infection. In addition, TRM cells exhibited varied behavior in different tissues. These results underscore the importance of T cells, which produce IFN-γ in the lungs during the early stage of infection, in providing early protection against cryptococcal infection through CARD9 signaling.

Abstract PO3-23-08: Cancer and immune cells evolutionary trajectories under treatment with the aromatase inhibitor letrozole and the CDK4/6 inhibitor ribociclib

Abstract Cancer and immune cells evolutionary trajectories under treatment with the aromatase inhibitor letrozole and the CDK4/6 inhibitor ribociclib. Marie Fongaard1, Leonard Schmiester2, Salim Ghannoum1, Pål Marius Bjørnstad1, Tatjana Bosnjak3, Signe Meltzer Kleivbo3, Knut Selsås4, Stephanie Beate Geisler5, Kamilla Fjermeros5, Sameer Bhargava5, Manouchehr Seyedzadeh6, Unn-Cathrin Buvarp5, Aino Katri Rosenskiold5, Nam Thi Nguyen5, Torben Lüders7, Diether Lambrechts8, Marianne Lyngra9, Arnoldo Frigessi2, Vessela Kristensen1,10, Jürgen Geisler5,10,*, Xavier Tekpli1,* 1) Department of Medical Genetics, Oslo University Hospital, Oslo, Norway 2) University of Oslo, Oslo Centre for Biostatistics and Epidemiology (OCBE), University of Oslo, Norway 3) Novartis, Medical Affairs, Oslo, Norway 4) Department of Breast and Endocrine Surgery, Akershus University Hospital, Oslo, Norway 5) Department of Oncology, Akershus University Hospital, Oslo, Norway 6) Department of Radiology, Akershus University Hospital, Oslo, Norway 7) Department of Clinical Molecular Biology (EPIGEN), Akershus University Hospital, Oslo, Norway 8) Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium 9) Department of Pathology, Akershus University Hospital, Oslo, Norway 10) University of Oslo, Institute of Clinical Medicine, Faculty of Medicine, Oslo, Norway< * Jointly supervised the work, shared corresponding authors Background The recent introduction of CDK4/6 inhibitors is regarded as a major improvement in the field of breast cancer therapy. A growing body of evidence suggests that CDK4/6 inhibitors may impact on the recruitment of immune cells within the tumor microenvironment during therapy. Further, CDK4/6 inhibitors may potentially contribute to the extinction or survival of specific cancer cell clones through evolutionary pressure exerted on breast tumors. Clinical trial The NEOLETRIB-study is a multicenter, single-arm, open-label phase II clinical trial. Patients with locally advanced, LUM-A/LUM-B breast cancer, characterized by cT3-cT4 tumors and/or cN2-3 lymph node involvement, receive ribociclib (600 mg daily, 21 days on and 7 days off) in combination with letrozole (2.5 mg daily) for a duration of 6 months in the neoadjuvant setting. Patients with large cT2 tumors are also allowed to participate. Aim of the study Using single-cell analyses at different time points of treatment, we aim at studying the evolutionary trajectories of cancer and immune cells in 30 patients participating in the NEOLETRIB-trial. Methods Tumor biopsies taken before treatment (baseline) and during treatment (day 21 of ribociclib cycles 1 and 6, respectively), underwent single-cell RNA (scRNA), T cell receptor (TCR), and B cell receptor (BCR) sequencing. The sequencing data was first processed using cellRanger and Seurat . Results Initial clustering of the scRNA enabled the identification of the main cell types in breast tumors, which included T/NK cells, B cells, epithelial cells, cancer-associated fibroblasts, myeloid cells and endothelial cells. Focusing on epithelial cells, we were distinguished cancer cells from normal epithelial cells using the InferCNV algorithm. Further, by estimating the copy number events, we determined the genetic background of clones resistant or sensitive to combination therapies for each patient, revealing the dynamics of tumor heterogeneity evolution during treatment. Additionally, we examined CD4, CD8 and NK cell types, identified different cell states within these cell types and inferred pseudotime and immune cell type differentiation trajectories. ConclusionsWe identified the cell types present in tumor biopsies from the NEOLETRIB trial. We characterized the effects of therapies on the evolution of cancer and immune cells and gain insights into the factors influencing sensitivity and resistance to the combination of letrozole and ribociclib. Citation Format: Marie Fongård, Leonard Schmiester, Salim Ghannoum, Marius Bjørnstad, Tatjana Bosnjak, Signe Kleivbo, Knut Selsås, Stephanie Geisler, Kamilla Fjermeros, Sameer Bhargava, Manouchehr Seyedzadeh, Unn-Cathrin Buvarp, Aino Vuoriluoto, Nam Thi Nguyen, Torben Lüders, Diether Lambrechts, Marianne Lyngra, Arnoldo Frigessi, Vessela Kristensen, Jürgen Geisler, Xavier Tekpli. Cancer and immune cells evolutionary trajectories under treatment with the aromatase inhibitor letrozole and the CDK4/6 inhibitor ribociclib [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-23-08.

Abstract PO4-02-01: Characterization of immune and malignant cell evolution upon treatment pressure with aromatase inhibitors in locally advanced estrogen positive breast cancer

Abstract Background Aromatase inhibitors (AIs) are commonly used in the management of estrogen receptor-positive (ER+) breast cancer, as they effectively reduce estrogen levels which inhibits tumor growth and recurrence. In postmenopausal women with ER+ breast cancer, aromatase inhibitors are increasingly used in selected patients as neoadjuvant therapy to reduce the tumor burden before surgery and to improve overall treatment outcomes. Clinical trial The NEOLETEXE trial aimed to treat postmenopausal patients with locally advanced breast cancer. It was a neoadjuvant, randomized, open-label, intra-patient, cross-over, single-center phase II clinical trial. Most patients presented large T3/T4 tumors and/or N2/N3 involvement. Patients were randomly assigned to receive neoadjuvant therapy with either letrozole (2.5 mg daily) or exemestane (25 mg daily) for 3 months followed by a cross-over to the alternative AI for another 3 months followed by surgery. A total of 102 patients were enrolled in the NEOLETEXE trial. Aim of the study We aim at using single-cell analyses at different time points of treatment, to characterize evolutionary trajectories of cancer and immune cells in 23 patients from the NEOLETEXE trial. Methods Tumor biopsies taken before treatment (baseline) at crossover (after 3 months) and end of neoadjuvant therapy (after 6 months), were analyzed by single-cell RNA (scRNA), T cell receptor (TCR), and B cell receptor (BCR) sequencing. The data were first processed using cellRanger and the Seurat package. Results The main cell types found in tumors were identified through clustering of the scRNA data. We then focused on the epithelial cells to first distinguish between the normal and malignant epithelial cells using the InferCNV algorithm. For each patient, the analysis of inferred copy number events allowed to elucidate the genetic background of clones resistant or sensitive to aromatase inhibitors. This analysis unveiled the evolutionary dynamics of tumor heterogeneity during treatment. We next examined CD4, CD8, NK cells, and macrophages, using RNA velocity and diffusion pseudotime using CellRank and scVelo to delineate the differentiation trajectories of immune cell types. Conclusions We created a detailed map that provides a high-resolution view of the diverse cell types present in tumor biopsies from the NEOLETEXE trial. We characterize the impact of therapies on the evolutionary dynamics of both cancer and immune cells. Our analyzes sought insights into the underlying factors that contribute to the sensitivity and resistance to aromatase inhibitors. Citation Format: Leonard Schmiester, Salim Ghannoum, Marie Fongård, Marius Bjørnstad, Knut Selsås, Stephanie Geisler, Manouchehr Seyedzadeh, Unn-Cathrin Buvarp, Torben Lüders, Diether Lambrechts, Marianne Lyngra, Arnoldo Frigessi, Vessela Kristensen, Jürgen Geisler, Xavier Tekpli. Characterization of immune and malignant cell evolution upon treatment pressure with aromatase inhibitors in locally advanced estrogen positive breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-02-01.

BAP31 Plays an Essential Role in Mouse B Cell Development via Regulation of BCR Signaling.

B cell receptor-associated protein 31 (BAP31) is a transmembrane protein that is widely expressed and primarily located in the endoplasmic reticulum (ER). B cells play a crucial role in the immune system, and BAP31 significantly contributes to the functions of various immune cells. However, the specific role of BAP31 in B lymphocytes development remains unknown. In this study, we utilized a mouse model with BAP31 deleted from B cells to investigate its effects. Our findings reveal a block in early B cell development in the bone marrow and a significant decrease in the number of B cells in peripheral lymphoid organs taken from BAP31 B cell conditional knockout (BAP31-BCKO) mice. B cell receptor (BCR) signaling is crucial for the normal development and differentiation of B lymphocytes. BAP31, an endoplasmic reticulum membrane protein, directly regulates the BCR signaling pathway and was shown to be significantly positively correlated with B cell activation and proliferation. These findings establish BAP31 as a crucial regulator of early B cell development.

Abstract PO1-25-06: Integrated analysis of single-cell RNA and VDJ-sequencing data to identify T cell marker expressed on antigen-specific T cells

Abstract Background In recent years, the advancement of adoptive cell transfer-based immunotherapies has significantly contributed to the evolution of cancer treatment. The crucial step in achieving successful treatment lies in the identification of T cells that exhibit reactivity towards tumor-specific antigens. However, the heterogeneous composition of tumor antigen-specific T cells poses a challenge as there are no standardized biomarkers available for their identification. To overcome this limitation, we investigated alternative approaches, employing single cell RNA and VDJ sequencing to identify antigen-specific T cells. Methods First, peripheral blood mononuclear cells (PBMCs) obtained from healthy human donors were stained with carboxyfluorescein succinimidyl ester (CFSE) to facilitate the identification of proliferating antigen-specific T cells. Then the PBMCs were exposed to 1 ug/ml of CMV pp65 peptide. After a 2-day incubation period with the CMV peptide, interleukin-2 (IL-2) was administered to stimulate T cell expansion. At various time points (0, 1, 2, 3, 5, and 7 days) following the CMV peptide treatment, CD8+ T cells were isolated through fluorescence-activated cell sorting (FACS) analysis. On day 7, the CD8+ T cells were further segregated into CFSE- and CFSE+ cell populations. The single-cell transcriptomes and T cell receptor (TCR) repertoire of the CD8+ T cells were subsequently examined using the Chromium Single Cell Reagent Kit. Results The TCR repertoire analysis of CD8+ CFSE- T cells revealed the dominance of 10 major clones, accounting for 93.9% of the total cells. These clones were confirmed to be CMV-specific through various in vitro assays, including NFAT-luciferase, IFN-γ ELISA, and cytotoxicity assay. In contrast, CD8+ CFSE+ T cells did not exhibit significant overlap with the major TCR clones found in CFSE- CD8+ T cells, comprising only 0.02% of the total cells. Gene set enrichment analysis demonstrated that the upregulated genes in CFSE- CD8+ T cells, when compared to CFSE+ T cells, were related to cell cycle proliferation and T cell cytotoxicity. Furthermore, these genes exhibited a matching upregulation pattern with CFSE- T cells from another batch of the same donor, as well as from two other healthy donors. In addition, there was a moderate increase in the expression of the upregulated genes in CFSE- CD8+ T cells at day 3 compared to day 0-2. In this end, we selected a set of nine genes that were consistently upregulated in CFSE- CD8+ T to serve as markers for antigen-specific T cells, employing a logistic regression model. This gene set showed high sensitivity (97.7%) and specificity (95.6%) in identifying T cell clones that respond to CMV antigen at day 3. Conclusions We have discovered potential markers for antigen-specific CD8+ T cells. These results can offer the promising opportunity for earlier isolation of T cells that exhibit reactivity towards tumor-specific antigens. This breakthrough has significant implications, as it can potentially contribute to cost savings in adoptive cell transfer-based immunotherapies. Citation Format: Byung-Kwan Jeong, Young-Ae Kim, Jungwook Park, Baknoon Ham, Jiheyong Kim, Chae Lyul Lim, Hee Jin Lee. Integrated analysis of single-cell RNA and VDJ-sequencing data to identify T cell marker expressed on antigen-specific T cells [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-25-06.

Living in Syn: T Cell Antigen Identification Based on Synapse Sequencing.

The pivotal role of T cell responses has been well studied in both protective and destructive scenarios. T cells recognize peptide epitopes presented on Human Leukocyte Antigens (HLA) through their surface T cell receptors (TCR). Advances in single-cell RNA sequencing have identified millions of TCRs, but only a minuscule fraction of them have known epitopes. Recently, cell-based T cell antigen discovery platforms have emerged onto the landscape. Here, Jin and colleagues, report a novel antigen discovery platform called Tsyn-seq that relies on sequencing TCR-peptide-HLA-induced synapses for genome-wide epitope screening. See related article by Jin et al., p. 530 (3).

Abstract PO2-14-03: Novel Metrics of HER2 Heterogeneity in HER2-Positive and HER2-Low Breast Cancer via High Dimensional Multiplexed Immunofluorescence Spatial Profiling

Abstract Background: Categorizing breast cancer HER2/ERBB2 expression as “positive” or “negative” is no longer sufficient, with evidence that treatment response and outcomes are associated with HER2 “low” status and HER2 intratumoral heterogeneity. We hypothesized that interrogating HER2 heterogeneity (HER2het) across multiple spatial resolutions would more accurately capture HER2 diversity and be associated with clinical outcomes. Methods: We interrogated tumor cell and microenvironmental features by profiling 1,113,204 single cells in tissue sections from 171 HER2+/HER2low cancers via custom 25-marker high dimensional multiplexed immunofluorescence (HDmIF) using NeoGenomics MultiOmyx, with adjacent section HER2 immunohistochemistry (IHC). We developed novel metrics to concurrently: 1) interrogate HER2 heterogeneity at four spatial resolutions; 2) use machine learning to translate HER2 IF to IHC, termed ‘HAIQu’ (HER2 Automated Immunofluorescence Quantification), scoring HER2 IF expression according to ASCO/CAP guidelines; 3) delineate HER2 signaling phenotypes at the tumor cell level based on six HER2-related proteins; 4) evaluate immunophenotype of 23 immune cell types. We evaluated the association of these novel HER2het metrics with patient clinicopathologic features, recurrence-free survival (RFS), overall survival (OS), and diverse antibody markers representing tumor cell intrinsic processes and tumor-immune microenvironment (TME). Results: 1166 regions of interest were analyzed from 208 unique tumors profiled. Median follow-up from diagnosis was 143 months and 98.9% (n=183/185) received HER2-directed therapy in the (neo)adjuvant or metastatic setting. Our HAIQu scoring system effectively translated adjacent section HER2 IF to IHC with 97.9% concordance between HAIQu and clinical IHC scoring. Single-cell phenotypic analyses of 392,984 HER2+/PanCK+ tumor cells’ concurrent expression of six HER2-positive breast cancer related proteins (HER2, HER3, EGFR, pAKT, ER, KI67) using an unsupervised neural network-based self-organizing map approach resulted in 7 HER2 signaling cell phenotypes. Most patient samples are dominated by a single cell cluster but, intriguingly, Cluster 1 cells (EGFR-low) predominate in tumors with high HER2 cell membrane heterogeneity (ANOVA p=0.003). Evaluation of immunophenotype in hormone receptor-negative, HER2+ tumors, demonstrated significant association with immune cluster and recurrence-free survival (RFS; log-rank p=0.024) with zero RFS events among immune-high versus median survival of only 53.5mo among immune low-PDL1 low tumors. A multivariable Cox proportional hazards model including single cell HER2-heterogeneity (only significant metric on univariate), receptor subtype, and immunophenotype cluster demonstrated significant association with RFS (overall model log-rank p=0.005) and each significantly contributed to the model (all p< 0.05). Conclusions: We present novel metrics of HER2 heterogeneity via HDmIF, which offer detailed characterization of the diversity of HER2 expression in a large, clinically-annotated cohort with long-term follow-up. Identification of a strong association between immunophenotype and RFS supports further investigation of the highly immune activated subsets of ER-/HER2+ breast cancer. Strong correspondence of HER2 IF and IHC and our HAIQu methodology offers a pathway to translation of HER2het metrics to clinical practice. Table 1. Association of HER2 Heterogeneity Metrics with Recurrence-Free Survival Citation Format: David Tallman, Anna Juncker-Jensen, Harry Nunns, Kevin Gallagher, Heather LeFebvre, Karen Yamamoto, Katharine Collier, Mark Vater, Ava Strahan, Mathew Cherian, Ashley Pariser, Preeti Sudheendra, Bhuvaneswari Ramaswamy, Margaret Gatti-Mays, Ainura Kyshtoobayeva, Zaibo Li, Daniel Stover, Kai Johnson. Novel Metrics of HER2 Heterogeneity in HER2-Positive and HER2-Low Breast Cancer via High Dimensional Multiplexed Immunofluorescence Spatial Profiling [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-14-03.

Abstract PO1-02-01: T Cell Receptor Sequencing to Monitor Pelareorep-Induced Expansion of Tumor Infiltrating Lymphocytes

Abstract Background: Tumor infiltrating lymphocytes (TILs) represent a major immunological tumor control mechanism that is associated with better prognosis in breast cancer. We have previously reported the effect of pelareorep (pela), an intravenously delivered, non-engineered oncolytic reovirus, on a composite measurement of TILs and tumor cellularity (CelTIL) from the AWARE-1 window-of-opportunity study in patients with early breast cancer (eBC). These results showed treatment increased in CelTIL scores especially in the atezolizumab group. To confirm and extend these findings we applied T cell receptor sequencing of matched tumor tissue and whole blood pre and post-treatment from the AWARE-1 study to further explore the effects of pela therapy on TILs. Methods: Newly diagnosed HR+/HER2- eBC patients were enrolled into two cohorts: Cohort 1: pela + letrozole (n=10); and Cohort 2: pela + letrozole + atezolizumab (n=10). Pela was administered on days 1, 2 and 8, 9, and atezolizumab was given on day 3. Tumor biopsies (FFPE samples) collected pre-treatment (~D-23) and on day ~21 when tumors were surgically removed. T cell fraction analysis and T cell receptor sequencing were performed by Adaptive Biotechnology (Seattle, Washington) Immunoseq protocol. Results: As was shown for the CelTIL scores, an increase in the tumor T cell fraction, a direct measurement of TILs, was observed at 1-month post-treatment in both cohorts with a mean percent increase of 21% for Cohort 1 and 67% for Cohort 2. Through TCR-sequencing of tumor tissue, we identified TIL clones and tracked their differential abundance in tumor tissue and blood post-treatment. The results of this analysis at Day 21 showed a mean post-treatment expansion of 10 tumor specific clones in the blood for Cohort 1, and a mean post-treatment increase of 40 tumor specific clones for Cohort 2. Conclusions: These results confirm the previously reported CelTIL results from AWARE-1 on pela-induced increases in TILs and demonstrate the expansion of these clones in both tumor and blood as a consequence of pela therapy for HR+/HER2- breast cancer. Citation Format: Richard Trauger, Houra Loghmani, Matt Coffey, Fernando Salvador, Joaquín Gavilá, Luis Manso, Tomás Pascual, Aleix Prat, Thomas Heineman. T Cell Receptor Sequencing to Monitor Pelareorep-Induced Expansion of Tumor Infiltrating Lymphocytes [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-02-01.

Abstract PO3-06-09: A phase II study of nivolumab plus ipilimumab and androgen receptor antagonist bicalutamide to stimulate thymic T cell generation in HER2-negative metastatic breast cancer

Abstract Background: Systemic chemotherapy is used commonly in breast cancer and is associated with lymphopenia, potentially limiting efficacy of immune checkpoint blockade. The androgen receptor (AR) serves as a negative regulator of thymic function. AR antagonists, such as bicalutamide, may stimulate thymic production of naïve T-cells, which may help to restore lymphocyte diversity and augment immunotherapy response. The AR is expressed in 50% of hormone receptor negative (HR-) metastatic breast cancer (MBC) and >75% of HR+ MBC, and bicalutamide is clinically active with stable disease as best response. We hypothesize that bicalutamide could be combined with dual immune checkpoint blockade (anti-programmed death 1, nivolumab; plus anti-cytotoxic T-lymphocyte antigen 4, ipilimumab), stimulating T-cell production and resulting in durable clinical response. Methods: This is a phase II Simon 2-stage trial of nivolumab (240 mg IV q2w), ipilimumab (1 mg/kg IV q6w), and bicalutamide (150mg oral daily) for first- or second-line treatment of HER2-negative MBC (NCT03650894). The primary endpoint is iRECIST 24-week clinical benefit rate (CBR), evaluated separately for HR+ MBC (n=15) and AR+/HR- MBC (n=15). An optimum Simon 2-stage design (80% power, 5% one-sided alpha) is employed to evaluate an alternative hypothesis of >50% CBR compared to historical control of < 30% CBR for conventional chemotherapy, with expansion of each cohort planned if ≥6/15 responses are observed. Secondary outcomes include best overall objective response rate (ORR), progression-free and overall survival (PFS,OS), and safety. Exploratory endpoints include assessment of peripheral T-cell counts and T cell receptor excision circles (TREC PCR, Mayo Laboratories, a surrogate of thymic T-cell production) over time. Results: Durable responses were observed, with an ongoing complete response at 41+ months in a patient who discontinued due to toxicity (AR+/HR- cohort, PD-L1 CPS score 3%). Therapy was tolerated with a toxicity profile consistent with prior studies of ipilimumab & nivolumab, with five subjects (19%) requiring treatment discontinuation related to toxicity. Outcomes by cohort and PDL1 are summarized in Table 1. Using mixed effects linear models, therapy was associated with a significant expansion of CD8+ T cells (23/mcL/month, p< .01) but not CD3+ T cells (7/mcL/month, p=.59) or CD4+ T cells (4/mcL/month, p=.65). Baseline TREC counts were higher in younger participants (mean: < 50y 2156/mcL; 50-65y 961/mcL; >65y 311/mcL). TRECs did not increase globally, however TREC expansions were observed in several younger participants. Conclusions: The regimen of ipilimumab, nivolumab, plus bicalutamide is safe and clinically active in 1st/2nd-line HER2-negative MBC. Neither cohort crossed the Simon futility barrier for cohort expansion, however durable responses were observed including in PD-L1-negative patients, highlighting the unmet need for biomarkers to identify candidates for chemotherapy-sparing checkpoint blockade. Further research is indicated to evaluate the impact of AR antagonists on T-cell function and thymic stimulation in MBC. Acknowledgements: Drug and study support was provided by Bristol-Myers Squibb and The BMS International Immuno-Oncology Network (II-ON). Clinical outcomes XX XX HR: hormone receptor; AR: androgen receptor; CPS: PD-L1 combined positive score Citation Format: David Page, Alexander Hall, Krystle Collins, Nicole Moxon, Staci Mellinger, Tracy Kelly, Aysha Kelley, Nicole Fredrich, Amanda Seino, Gabriella Liberatore, Alison Conlin, Zheng Topp, Kelly Perlewitz, Sasha Stanton, Walter Urba, Yaping Wu, Maritza Martel, Zhaoyu Sun, Yoshinobu Kogushi, William Redmond, Tiffany Traina, Ayca Guculp. A phase II study of nivolumab plus ipilimumab and androgen receptor antagonist bicalutamide to stimulate thymic T cell generation in HER2-negative metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-06-09.

Bioinformatic analysis of the role of immune checkpoint genes and immune infiltration in the pathogenesis and development of premature ovarian insufficiency.

With advances in immunology, increasing evidence suggests that immunity is involved in premature ovarian insufficiency (POI) pathogenesis. This study investigated the roles of immune checkpoint genes and immune cell infiltration in POI pathogenesis and development. The GSE39501 dataset and immune checkpoint genes were obtained from the Gene Expression Omnibus database and related literature. The two datasets were intersected to obtain immune checkpoint-related differentially expressed genes (ICRDEGs), which were analyzed using Gene Ontology and Kyoto Encyclopedia of Gene and Genomes enrichment analysis, weighted correlation network analysis, protein-protein interaction and related microRNAs, transcription factors, and RNA binding proteins. The immune cell infiltration of ICRDEGs was explored, and receiver operating characteristic curves were used to validate the diagnostic value of ICRDEGs in POI. We performed ICRDEG functional enrichment analysis and found that these genes were closely related to immune processes, such as T cell activation. Specifically, they are enriched in various biological processes and pathways, such as cell adhesion molecule and T cell receptor signaling pathways. Weighted correlation network analysis identified seven hub genes: Cd200, Cd274, Cd28, neurociliary protein-1, Cd276, Cd40lg, and Cd47. Furthermore, we identified 112 microRNAs, 17 RNA-binding proteins, and 101 transcription factors. Finally, immune infiltration analysis showed a clear positive correlation between hub genes and multiple immune cell types. Bioinformatic analysis identified seven potential ICRDEGs associated with POI, among which the immune checkpoint molecules CD200 and neurociliary protein-1 may be involved in the pathogenesis of POI.

Reconstruction of Sjögren's syndrome-like sialadenitis by a defined disease specific gut-reactive single TCR and an autoantibody

Lymphocytes such as CD4+ T cells and B cells mainly infiltrate the salivary glands; however, the precise roles and targets of autoreactive T cells and autoantibodies in the pathogenesis of Sjögren's Syndrome (SS) remain unclear. This study was designed to clarify the role of autoreactive T cells and autoantibodies at the single-cell level involved in the development of sialadenitis. Infiltrated CD4+ T and B cells in the salivary glands of a mouse model resembling SS were single-cell-sorted, and their T cell receptor (TCR) and B cell receptor (BCR) sequences were analyzed. The predominant TCR and BCR clonotypes were reconstituted in vitro, and their pathogenicity was evaluated by transferring reconstituted TCR-expressing CD4+ T cells into Rag2−/− mice and administering recombinant IgG in vivo. The reconstitution of Th17 cells expressing TCR (#G) in Rag2−/− mice resulted in the infiltration of T cells into the salivary glands and development of sialadenitis, while an autoantibody (IgGr22) was observed to promote the proliferation of pathogenic T cells. IgGr22 specifically recognizes double-stranded RNA (dsRNA) and induces the activation of dendritic cells, thereby enhancing the expression of IFN signature and inflammatory genes. TCR#G recognizes antigens related to the gut microbiota. Antibiotic treatment severely reduces the activation of TCR#G-expressing Th17 cells and suppresses sialadenitis development. These data suggest that the anti-dsRNA antibodies and, TCR recognizing the gut microbiota involved in the development of sialadenitis like SS. Thus, our model provides a novel strategy for defining the roles of autoreactive TCR and autoantibodies in the development and pathogenesis of SS.

An HLA-E-targeted TCR bispecific molecule redirects T cell immunity against Mycobacterium tuberculosis

Peptides presented by HLA-E, a molecule with very limited polymorphism, represent attractive targets for T cell receptor (TCR)-based immunotherapies to circumvent the limitations imposed by the high polymorphism of classical HLA genes in the human population. Here, we describe a TCR-based bispecific molecule that potently and selectively binds HLA-E in complex with a peptide encoded by the inhA gene of Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis in humans. We reveal the biophysical and structural bases underpinning the potency and specificity of this molecule and demonstrate its ability to redirect polyclonal T cells to target HLA-E-expressing cells transduced with mycobacterial inhA as well as primary cells infected with virulent Mtb. Additionally, we demonstrate elimination of Mtb-infected cells and reduction of intracellular Mtb growth. Our study suggests an approach to enhance host T cell immunity against Mtb and provides proof of principle for an innovative TCR-based therapeutic strategy overcoming HLA polymorphism and therefore applicable to a broader patient population.

Lessons learned from the Eµ-TCL1 mouse model of CLL

The Eµ-TCL1 mouse model has been used for over 20 years to study the pathobiology of chronic lymphocytic leukemia (CLL) and for preclinical testing of novel therapies. A CLL-like disease develops with increasing age in these mice due to a B cell specific overexpression of human TCL1. The reliability of this model to mirror human CLL is controversially discussed, as none of the known driver mutations identified in patients are found in Eµ-TCL1 mice. It has to be acknowledged that this mouse model was key to develop targeted therapies that aim at inhibiting the constitutive B cell receptor (BCR) signaling, a main driver of CLL. Inhibitors of BCR signaling became standard-of-care for a large proportion of patients with CLL as they are highly effective. The Eµ-TCL1 model further advanced our understanding of CLL biology owed to studies that crossed this mouse line with various transgenic mouse models and demonstrated the relevance of CLL-cell intrinsic and -extrinsic drivers of disease. These studies were instrumental in showing the relevance of the tumor microenvironment in the lymphoid tissues for disease progression and immune escape in CLL. It became clear that CLL cells shape and rely on stromal and immune cells, and that immune suppressive mechanisms and T cell exhaustion contribute to CLL progression. Based on this knowledge, new immunotherapy strategies were clinically tested for CLL, but so far with disappointing results. As some of these therapies were effective in the Eµ-TCL1 mouse model, the question arose concerning the translatability of preclinical studies in these mice. The aim of this review is to summarize lessons we have learnt over the last decades by studying CLL-like disease in the Eµ-TCL1 mouse model. The article focuses on pitfalls and limitations of the model, as well as the gained knowledge and potential of using this model for the development of novel treatment strategies to achieve the goal of curing patients with CLL.

Proteogenomic analysis identifies neoantigens and bacterial peptides as immunotherapy targets in colorectal cancer

Considerable progress has recently been made in cancer immunotherapy, including immune checkpoint blockade, cancer vaccine, and adoptive T cell methods. The lack of effective targets is a major cause of the low immunotherapy response rate in colorectal cancer (CRC). Here, we used a proteogenomic strategy comprising immunopeptidomics, whole exome sequencing, and 16S ribosomal DNA sequencing analyses of 8 patients with CRC to identify neoantigens and bacterial peptides that can serve as antitumor targets. This study directly identified several personalized neoantigens and bacterial immunopeptides. Immunoassays showed that all neoantigens and 5 of 8 bacterial immunopeptides could be recognized by autologous T cells. Additionally, T cell receptor (TCR) αβ sequencing revealed the TCR repertoire of epitope-reactive CD8+ T cells. Functional studies showed that T cell receptor-T (TCR-T) could be activated by epitope pulsed lymphoblastoid cells. Overall, this study comprehensively profiled the CRC immunopeptidome, revealing several neoantigens and bacterial peptides with potential to serve as immunotherapy targets in CRC.

The potential and promise for clinical application of adoptive T cell therapy in cancer.

Adoptive cell therapy has revolutionized cancer treatment, especially for hematologic malignancies. T cells are the most extensively utilized cells in adoptive cell therapy. Currently, tumor-infiltrating lymphocytes, T cell receptor-transgenic T cells and chimeric antigen receptor T cells are the three main adoptive T cell therapies. Tumor-infiltrating lymphocytes kill tumors by reinfusing enlarged lymphocytes that naturally target tumor-specific antigens into the patient. T cell receptor-transgenic T cells have the ability to specifically destroy tumor cells via the precise recognition of exogenous T cell receptors with major histocompatibility complex. Chimeric antigen receptor T cells transfer genes with specific antigen recognition structural domains and T cell activation signals into T cells, allowing T cells to attack tumors without the assistance of major histocompatibility complex. Many barriers have been demonstrated to affect the clinical efficacy of adoptive T cell therapy, such as tumor heterogeneity and antigen loss, hard trafficking and infiltration, immunosuppressive tumor microenvironment and T cell exhaustion. Several strategies to improve the efficacy of adoptive T cell therapy have been explored, including multispecific chimeric antigen receptor T cell therapy, combination with immune checkpoint blockade, targeting the immunosuppressive tumor microenvironment, etc. In this review, we will summarize the current status and clinical application, followed by major bottlenecks in adoptive T cell therapy. In addition, we will discuss the promising strategies to improve adoptive T cell therapy. Adoptive T cell therapy will result in even more incredible advancements in solid tumors if the aforementioned problems can be handled.

Molecular targets of glucocorticoids that elucidate their therapeutic efficacy in aggressive lymphomas

Glucocorticoids have been used for decades to treat lymphomas without an established mechanism of action. Using functional genomic, proteomic, and chemical screens, we discover that glucocorticoids inhibit oncogenic signaling by the B cell receptor (BCR), a recurrent feature of aggressive B cell malignancies, including diffuse large B cell lymphoma and Burkitt lymphoma. Glucocorticoids induce the glucocorticoid receptor (GR) to directly transactivate genes encoding negative regulators of BCR stability (LAPTM5; KLHL14) and the PI3 kinase pathway (INPP5D; DDIT4). GR directly represses transcription of CSK, a kinase that limits the activity of BCR-proximal Src-family kinases. CSK inhibition attenuates the constitutive BCR signaling of lymphomas by hyperactivating Src-family kinases, triggering their ubiquitination and degradation. With the knowledge that glucocorticoids disable oncogenic BCR signaling, they can now be deployed rationally to treat BCR-dependent aggressive lymphomas and used to construct mechanistically sound combination regimens with inhibitors of BTK, PI3 kinase, BCL2, and CSK.

MAIT cell-MR1 reactivity is highly conserved across multiple divergent species

Mucosal-associated invariant T (MAIT) cells are a subset of unconventional T cells that recognize small molecule metabolites presented by MHC-I related protein 1 (MR1), via an αβ T cell receptor (TCR). MAIT TCRs feature an essentially invariant TCR α-chain, which is highly conserved between mammals. Similarly, MR1 is the most highly conserved MHC-I like molecule. This extreme conservation, including the mode of interaction between the MAIT TCR and MR1, has been shown to allow for species-mismatched reactivities unique in T cell biology thereby allowing the use of selected species-mismatched MR1–antigen (MR1–Ag) tetramers in comparative immunology studies. However, the pattern of cross-reactivity of species-mismatched MR1–Ag tetramers in identifying MAIT cells in diverse species has not been formally assessed. We developed novel cattle and pig MR1–Ag tetramers and utilized these alongside previously developed human, mouse and pig-tailed macaque MR1–Ag tetramers to characterize cross-species tetramer reactivities. MR1–Ag tetramers from each species identified T cell populations in distantly related species with specificity that was comparable to species-matched MR1–Ag tetramers. However, there were subtle differences in staining characteristics with practical implications for the accurate identification of MAIT cells. Pig MR1 is sufficiently conserved across species that pig MR1–Ag tetramers identified MAIT cells from the other species. However, MAIT cells in pigs were at the limits of phenotypic detection. In the absence of sheep MR1–Ag tetramers, a MAIT cell population in sheep blood was identified phenotypically, utilizing species-mismatched MR1–Ag tetramers. Collectively, our results validate the use and limitations of species-mismatched MR1–Ag tetramers in comparative immunology studies.

In silico approaches of gandarusa (Justicia gendarussa Burm. f.) potential for osteoporosis prevention via EGF pathway

Context: On a cellular level, osteoporosis is a metabolic bone disease caused by osteoclastic bone resorption that is not offset by osteoblastic bone synthesis. This increases the risk of fractures by making bones weak and brittle. The selective inactivation of the epidermal growth factor receptor (EGFR) in osteoblast lineage cells demonstrated that EGFR promotes bone formation by increasing the number of mesenchymal progenitors. Active compounds of gandarusa (Justicia gendarussa Burm. f.) are potentially playing crucial roles in EGFR activation. Aims: To evaluate the potential of J. gendarussa for osteoporosis prevention via EGF pathway in silico. Methods: A GC-MS approach was used to screen the active compounds from 70 and 95% methanol extraction, which was continued with molecular docking analysis by PyRx v0.8. The visualization and amino acid interactions were also revealed using Discovery Studio software R17. ADME analysis was performed using the SwissADME webserver to consider whether the best compound could be classified as a drug following Lipinsky rule’s of five. Results: The top five compounds with high binding affinity were selected from a total of 33 active compounds detected. One compound, namely eslicarbazepine, has a -6.7 kcal/mol affinity score and passes the threshold for drugs bioavailability, supported by the data of MW compounds 254.28 kDa, low rotatable bonds 1 bond, hydrogen bond acceptors and donors (2), high GI absorption, and ability to permeant to blood-brain barrier system. Conclusions: This finding added new insight into J. gendarussa extract potential as anti-osteoporosis in humans. Nevertheless, in vitro and in vivo experiments are necessary to confirm the potential.

Berberine inhibits intracellular Ca2+ signals in mouse pancreatic acinar cells through M3 muscarinic receptors: Novel target, mechanism, and implication

Berberine, a natural isoquinoline alkaloid, exhibits a variety of pharmacological effects, but the pharmacological targets and mechanisms remain elusive. Here, we report a novel finding that berberine inhibits acetylcholine (ACh)-induced intracellular Ca2+ oscillations, mediated through an inhibition of the muscarinic receptor subtype 3 (M3) receptor. Patch-clamp recordings and confocal Ca2+ imaging were applied to acute dissociated pancreatic acinar cells prepared from CD1 mice to examine the effects of berberine on ACh-induced Ca2+ oscillations. Whole-cell patch-clamp recordings showed that berberine (from 0.1 to 10 µM) reduced ACh-induced Ca2+ oscillations in a concentration-dependent manner, and this inhibition also depended on ACh concentrations. The inhibitory effect of berberine neither occurred in intracellular targets nor extracellular cholecystokinin (CCK) receptors, chloride (Cl-) channels, and store-operated Ca2+ channels. Together, the results demonstrate that berberine directly inhibits the muscarinic M3 receptors, further confirmed by evidence of the interaction between berberine and M3 receptors in pancreatic acinar cells.

Prime editing-mediated correction of the leptin receptor in muscle cells of db/db mice.

Genetic diseases can be caused by monogenic diseases, which result from a single gene mutation in the DNA sequence. Many innovative approaches have been developed to cure monogenic genetic diseases, namely by genome editing. A specific type of genomic editing, prime editing, has the potential advantage to edit the human genome without requiring double-strand breaks or donor DNA templates for editing. Additionally, prime editing does not require a precisely positioned protospacer adjacent motif (PAM) sequence, which offers flexible target and more precise genomic editing. Here we detail a novel construction of a prime editing extended guide RNA (pegRNA) to target mutated leptin receptors in B6.BKS(D)-Leprdb/J mice (db/db mice). The pegRNA was then injected into the flexor digitorum brevis (FDB) muscle of db/db mice to demonstrate in vivo efficacy, which resulted in pegRNA mediated base transversion at endogenous base transversion. Genomic DNA sequencing confirmed that prime editing could correct the mutation of leptin receptor gene in db/db mice. Furthermore, prime editing treated skeletal muscle exhibited enhanced leptin receptor signals. Thus, the current study showed in vivo efficacy of prime editing to correct mutant protein and rescue the physiology associated with functional protein.