Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE198052 | GEO | 2022/03/10
REPOSITORIES: GEO
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Project description:Background Clinical success of T cell receptor (TCR) gene therapy has previously been demonstrated for NY-ESO-1 TCR gene therapy. To increase numbers of cancer patients that can be treated with TCR gene therapy we aimed to identify a novel set of high-affinity cancer specific TCRs targeting different cancer testis (CT) antigens in prevalent HLA class I alleles. Methods In this study, we selected based on publicly available gene expression databases the most promising CT genes to target. From these selected genes we identified by HLA peptidomics the naturally processed and presented HLA class I peptides. With these peptide-HLA tetramers were generated, and by single cell sorting CT specific CD8+ T cells were selected, and expanded from the allo-HLA repertoire of healthy donors. By several functional assays high avidity CT-specific T cell clones with safe recognition pattern were selected. To evaluate the potential for clinical application in TCR gene therapy, TCRs were sequenced and transferred into peripheral blood derived CD8+ T cells. Results In total we identified, 7 novel CT-specific TCRs that effectively target MAGE-A1, MAGE-A3, MAGE-A6 and MAGE-A9 in the context of human leukocyte antigen(HLA) -A1, -A2, -A3, -B7, -B35 and -C7. TCR gene transfer into CD8⁺ T cells resulted in efficient cytokine production and cytotoxicity of variety of different tumor types without detectable cross-reactivity. In addition, major in vivo antitumor effects of MAGE-A1 specific TCR engineered CD8⁺ T cells was observed in an orthotopic xenograft model for established multiple myeloma, in which bone marrow located tumor cells were completely eradicated after T cell injection. Conclusion The identification of 7 novel CT-specific TCRs, reactive against CT antigens presented in a variety of different HLA class I alleles, allows selection of therapeutic TCRs for an increased number of cancer patients, and will improve development of personalized TCR gene therapy.
2023-01-23 | PXD038862 | Pride
Project description: The CD8+ TIL contained a putative transitional GZMK+ population based on TCR clonotype sharing, and cell-state trajectory analysis showed similarity to a GZMB+PRF1+ cytotoxic and a CXCL13+ dysfunctional population. Statistical analysis suggested that certain TIL states, such as dysfunctional and inhibitory populations, often occurred together. Finally, analysis of cultured TIL revealed that high-frequency clones from effector populations were preferentially expanded. These data provide a framework for understanding the PDAC TIL landscape for future TIL use in immunotherapy for PDAC.
2022-09-06 | GSE211644 | GEO
Project description:Kidney transplant recipients are at particular risk for developing tumors, many of which are now routinely treated with immune checkpoint inhibitors (ICIs); however, ICI therapy can precipitate transplant rejection. We utilized TCR sequencing to identify and track alloreactive T cells in a patient with melanoma who experienced kidney transplant rejection following ICI therapy. ICI therapy was associated with a sharp increase in circulating alloreactive CD8+ T cell clones, many of which were also detected in the rejected kidney but not at tumor sites. Longitudinal and cross-tissue TCR analyses revealed unintended expansion of alloreactive CD8+ T cells induced by ICI therapy for cancer, coinciding with ICI-associated organ rejection.
2023-02-01 | GSE216756 | GEO
Project description:Kidney transplant recipients are at particular risk for developing tumors, many of which are now routinely treated with immune checkpoint inhibitors (ICIs); however, ICI therapy can precipitate transplant rejection. We utilized TCR sequencing to identify and track alloreactive T cells in a patient with melanoma who experienced kidney transplant rejection following ICI therapy. ICI therapy was associated with a sharp increase in circulating alloreactive CD8+ T cell clones, many of which were also detected in the rejected kidney but not at tumor sites. Longitudinal and cross-tissue TCR analyses revealed unintended expansion of alloreactive CD8+ T cells induced by ICI therapy for cancer, coinciding with ICI-associated organ rejection.
2023-02-01 | GSE216762 | GEO
Project description:Comparisons between untreated primary cells T-cell precursors from the thymus. CD69- thymocytes are from Zap70-deficent mice and are >95% CD4+CD8+. These cells fail to generate intrathymic TCR signals as a result of their lacking Zap70 molecules, and are thus representative of "preselection" CD4+CD8+ thymocytes. The CD69hi population comes from wildtype mice and is heterogeneous for CD4 and CD8 expression. These cells have been intrathymically TCR-signaled and are undergoing selection.
2010-06-10 | E-GEOD-2262 | biostudies-arrayexpress
Project description:Acute myeloid leukemia (AML) is a hematopoietic malignancy with poor prognosis and limited treatment options. Here we provide a comprehensive census of the bone marrow immune microenvironment in adult and pediatric AML patients. We characterize unique inflammation signatures in a subset of AML patients, associated with inferior outcomes. We identify atypical B cells, a dysfunctional B cell subtype enriched in high-inflammation AML patients, as well as an increase in CD8+ GZMK+ and regulatory T cells, accompanied by a reduction in T cell clonal expansion. We derive an inflammation-associated gene score (iScore) that associates with poor survival outcomes in AML patients. Addition of the iScore refines current risk stratifications for AML patients and may enable identification of patients in need of more aggressive treatment. This work provides a framework for classifying AML patients based on their immune microenvironment and a rationale for consideration of the inflammatory state in clinical settings.
2022-11-04 | GSE185381 | GEO
Project description:AML/MDS patients carrying 11q amplifications involving the mixed lineage leukemia gene (MLL) locus are characterized by a later onset, a complex aberrant karyotype (CAK) frequently including deletions within 5q, 17p and 7q, as well as fast progression of the disease with extremely poor prognosis. We and other have shown that the MLL gene is over expressed in amplified cases, however, in most of the cases the amplified region is not restricted to the MLL locus. In the present study we investigated 19 patients with AML/MDS and MLL gain/amplification [15 AML (two secondary, following MDS and PV, and three therapy related) and 4 MDS cases (two therapy related)]. By means of array CGH performed in 12 patients (GSE9928) we were able to delineate the minimal deleted regions within 5q, 17p and 7q and identified three independent regions 11q/I-III that were amplified in all cases. Gene expression profiles established in 15 cases were used to define the candidate genes within these regions. Interestingly, analysis of our data suggests an interdependency of genes influenced by losses of 5q and 17p and expression of genes present in 11q23-25. Additionally, we demonstrate that the gene expression signature can be used to discriminate AML/MDS with MLL amplification from all other types of AML, thus, indicating specific pathogenesis present in this entity. Experiment Overall Design: In this study, gene expression profiling performed for 15 AML patients. Experiment Overall Design: aCGH analysis performed on 12 DNA samples derived from patients with AML, preselected for the presence of MLL amplifications, were analysed on a submegabase resolution BAC array. No replicates, no dye swap was done (GSE9928).
2008-11-22 | E-GEOD-10258 | biostudies-arrayexpress
Project description:Aging is associated with systemic chronic inflammation (inflammaging) that leads to impaired physiological functions and vulnerability to several diseases. However, underlying alterations in aged immune system resulting in gradual loss of immune fitness4 remain unclear. Using a combination of single-cell RNA/TCR/BCR-sequencing and extensive FACS/CyTOF-based validation, we comprehensively characterize age-associated alterations in immune cells in 4 mouse organs and human blood. We identified both organ-specific and common changes in immune cell populations and their transcriptional programs and found age-associated subpopulation of CD8+ T cells marked with expression of GZMK.
2020-12-06 | GSE145562 | GEO
Project description:We investigated the frequency of CX3CR1+CD8+ T cells in peripheral blood (PB) before and during immune checkpoint inhibitor (ICI) therapy, and delineated the TCR repertoire in peripheral CX3CR1+CD8+ T-cell subsets and CD8+ tumor-infiltrating lymphocytes (TILs) using preclinical models. To understand the clinical utility of CX3CR1 as a circulating T-cell biomarker, we analyzed longitudinal PB samples from non-small cell lung cancer (NSCLC) patients undergoing anti-PD-1 therapy, and evaluated predictive and prognostic value of changes in the frequency of PB CX3CR1+ CD8+ T cells Methods: Female C57BL/6 mice were inoculated subcutaneously with 5 x 10^5 MC38 tumor cells per mouse on the right flank on day 0. When tumor volume reached approximately 50 mm^3, 200 µg of anti-PD-L1 Ab (clone 10F.9G2, BioXcell) and 100 µg of anti-CTLA-4 Ab (clone 9H10, BioXcell) were administered intraperitoneally every 3 days and every other day, respectively. MC38 tumor-bearing mice were treated for 14 days, and spleens and tumors were harvested. [Tumor cells] Tumors were cut into small pieces of 2-4 mm. Single-cell suspensions were obtained by mechanical dispersion consisting of two 30-min incubations at 37°C, 5% CO2 in 5 ml RPMI 1640 (Gibco) and tumor dissociation kit (Miltenyi Biotec) in C Tubes (Miltenyi Biotec) interspersed with three mechanical dispersions on a GentleMACS dissociator (Miltenyi Biotec). The tumor cell suspensions were then filtered through a cell strainer (70 μm; BD Biosciences). An EasySep Mouse CD8a Positive Selection Kit II (STEMCELL Technologies) was used to isolate murine CD8+ tumor-infiltrating lymphocytes (TILs) for TCR sequencing. [Splenocytes] Spleens were homogenized by forcing the tissue through a cell strainer (70 μm; BD Biosciences). Red blood cells in blood and spleen were lysed using ACK Lysis Buffer (Gibco). For TCR sequencing of murine splenic CD8+ T cells, single cell suspensions from freshly isolated splenocytes were stained. CD45+ CD3+ CD8+ T cells were gated, and CD27lo CX3CR1-, CD27hi CX3CR1-, and CX3CR1+ CD8+ T cells were sorted using BD FACSAria II Cell Sorter. DNA from flow-isolated murine splenic CD8+ T cells and CD8+ TILs, and PB CD8+ T cells was extracted using QIAamp DNA Micro Kit (QIAGEN). DNA was quantified using Qubit dsDNA BR Assay (Invitrogen). Amplification and sequencing of TCRβ CDR3 regions was performed using ImmunoSEQ immune profiling system at the survey level (Adaptive Biotechnologies). Sequencing was performed on an Illumina NextSeq system using 150 cycle mid-output kit (Illumina Inc.). Processed data were uploaded to the ImmunoSEQ Platform (Adaptive Biotechnologies) for bioinformatics analysis. Processed data were downloaded and frequencies/counts for TCR clonotypes and diversity were examined by nucleotide sequences after non-productive reads were filtered out. Results: Clonally expanded TCR repertoires of CD8+ TILs are enriched in the peripheral CX3CR1+ subset during ICI therapy. ICI therapy induces high degree of TCR sequence similarity and clonality between CD8+ TILs and the peripheral CX3CR1+ CD8+ T cells.
2021-01-26 | GSE165383 | GEO
Project description:We identified a T-cell receptor (TCR) reactive to the recurrent FLT3 D835Y mutation in the tyrosine-kinase domain. To validate the elimination efficacy of leukemia cells, we transplanted human acute myeloid leukemia (AML) cells with FLT3 D835Y mutations into NSG-SGM3 mice and treated either with TCR FLT3 D835Y redirected T cells, or control TCR (TCR 1G4). After treatment, we performed flow sorting of AML blasts (CD3-CD19-) and primary T cells (CD3+CD8+orCD4+CD19-CD33-) and performed whole-exome sequencing.
| EGAD00001011258 | EGA