grant

Leveraging the TCR Repertoire to identify target neoantigens in FLT3-ITD positive Acute Myeloid Leukemia

Organization UNIVERSITY OF SOUTHERN CALIFORNIALocation Los Angeles, UNITED STATESPosted 1 Jun 2021Deadline 31 May 2027
NIHUS FederalResearch GrantFY2025AML - Acute Myeloid LeukemiaAcute Myeloblastic LeukemiaAcute Myelocytic LeukemiaAcute Myelogenous LeukemiaAcute leukemiaAdvanced DevelopmentAffectAlgorithmsAllogenicAntigen PresentationAntigensBindingCell BodyCell FunctionCell PhysiologyCell ProcessCell TherapyCell surfaceCellsCellular FunctionCellular PhysiologyCellular ProcessCharacteristicsClinicalClonal ExpansionClone CellsDNA mutationDataDevelopmentDiagnosisDiagnosticDisease remissionExperimental ModelsFDA approvedFLK2FLT3FLT3 geneFLT3 inhibitorFMS-like tyrosine kinase 3Fms-Related Tyrosine Kinase 3GVLGenetic ChangeGenetic defectGenetic mutationGenomicsGvHDHSC transplantationHematopoietic Stem Cell TransplantHematopoietic Stem Cell TransplantationHistocompatibility ComplexHistocompatibility ComplicesHomologous Wasting DiseaseImmuneImmune mediated therapyImmunesImmunogenomicsImmunologic SubtypingImmunologically Directed TherapyImmunophenotypingImmunotherapyIn VitroInvestigationLeukemic CellLifeLong-term cohort studyLongitudinal cohort studyMHC ReceptorMajor Histocompatibility ComplexMajor Histocompatibility Complex ReceptorMajor Histocompatibility ComplicesMediatingMolecular InteractionMutationNGS MethodNGS systemNon-Polyadenylated RNANormal CellOutcomePTK ReceptorsPatientsPeptidesPopulationPrognosisProportional Hazards ModelsProspective, cohort studyRNARNA Gene ProductsReceptor ProteinReceptor Protein-Tyrosine KinasesReceptor Tyrosine Kinase GeneRegimenRegulatory T-LymphocyteRelapseRemissionResearchRibonucleic AcidRiskRunt DiseaseSTK-1 kinaseSTK1SamplingSomatic MutationStem Cell Tyrosine Kinase 1StructureSubcellular ProcessSurfaceT cell receptor repertoire sequencingT cell receptor sequencingT cell responseT-Cell Antigen ReceptorsT-Cell ReceptorT-CellsT-LymphocyteT-cell receptor repertoireTCR repertoireTCR repertoire sequencingTCR sequencingTCR-seqTCRseqTechnologyTestingTherapeuticTimeTransmembrane Receptor Protein Tyrosine KinaseTransplant RecipientsTregTyrosine Kinase Linked ReceptorsTyrosine Kinase ReceptorsValidationacute granulocytic leukemiaacute myeloid leukemiaantigen-specific T cellsblood stem cell transplantationcell based interventioncell mediated interventioncell mediated therapiescell-based therapeuticcell-based therapycellular therapeuticcellular therapychemotherapycohortcomputer based predictioncurative interventioncurative therapeuticcurative therapycurative treatmentscytotoxicdevelopmentaldisease riskdisorder riskengineered T cellsexome sequencingexome-seqfetal liver kinase-2fetal liver kinase-3genetically engineered T-cellsgenome mutationgraft versus host diseasegraft versus leukemiagraft vs host diseasegraft vs leukemiagraft vs leukemia effectgraft vs leukemia responsegraft vs. host diseasegraft vs. leukemiagraft vs. leukemia effectgraft vs. leukemia responsehematopoietic cell transplantationhematopoietic cellular transplantationhematopoietic progenitor cell transplantationhigh riskimmune therapeutic approachimmune therapeutic interventionsimmune therapeutic regimensimmune therapeutic strategyimmune therapyimmune-based therapiesimmune-based treatmentsimmuno therapyimmunogenindividual heterogeneityindividual variabilityindividual variationkinase inhibitorknowledge of resultsleukemiamachine learning based methodmachine learning methodmachine learning methodologiesmouse modelmurine modelneo-antigenneo-epitopesneoantigensneoepitopesnext gen sequencingnext generation sequencingnextgen sequencingnovelpersonalization of treatmentpersonalized medicinepersonalized therapypersonalized treatmentpost-transplantpost-transplantationposttransplantposttransplantationpre-clinicalpreclinicalpredict clinical outcomeprediction algorithmpredictive modelingpredictive toolsprospectiveprototypereceptorreceptor bindingreceptor boundregulatory T-cellsrelapse risksomatic variantsuccesstargeted drug therapytargeted drug treatmentstargeted therapeutictargeted therapeutic agentstargeted therapytargeted treatmenttherapeutic targetthymus derived lymphocytetranscriptomicstransgenic T- cellstransplant patienttransplant therapytransplant treatmenttransplantation therapytransplantation treatmentvalidations
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Full Description

Abstract
Allogeneic hematopoietic stem cell transplantation (HSCT) is the only curative treatment for patients with high-

risk acute myeloid leukemia (AML). However, HSCT is affected by graft-versus-host disease (GvHD) and graft-

versus-leukemia (GvL) effects, both are mediated by donor T lymphocytes and significantly impact treatment

success and thus overall outcome. AML patients commonly harbor FLT3/internal tandem duplication (FLT3-ITD),

a mutation in the receptor tyrosine kinase FLT3 that is associated with poor prognosis. FLT3 targeted therapies

have proven clinical benefit particularly when used in combinational approaches. Midostaurin (a kinase inhibitor)

was recently approved for pre-transplant patients with FLT3-ITD in combination with standard therapy. In addition

to their direct leukemia suppressive effects, FLT3 inhibitors activate leukemia antigen-specific T-cell responses.

T-cell receptors (TCRs) are proteins expressed on the surface of T cells that recognize antigens presented by

MHC molecules. We recently characterized the TCR repertoire in patients who underwent matched donor or

haplo-cord HSCT. We demonstrated that GvHD and relapse (exclusive of each other) are associated with lower

TCR repertoire diversity and expansion of certain T-cell clones. Our data suggest that individual variations in

the immune repertoire significantly impact the clinical outcome in AML patients and underscore the need

for comprehensive quantitative, functional, and mechanistic analyses of the TCR repertoire in a large

cohort of AML patients. Here, we hypothesize: 1) TCR repertoire (diversity, clonal expansion, and V-segment

utilization) affects clinical outcome (GvHD or relapse) and can therefore be used to identify GvL- and GvHD-

associated clones; 2) Somatic mutations in leukemic cells (e.g., FLT3-ITD) affect the TCR repertoire and

subsequent expansion of specific T-cell clones; and 3) FLT3 inhibitors (e.g., midostaurin) modulate the TCR

repertoire and function and enhance GvL effects in patients undergoing HSCT. We will conduct a prospective

longitudinal cohort study characterizing the TCR repertoire and mutational landscape of leukemia cells in ~250

patients (~ 60–80 with FLT3-ITD). GvHD or relapse will be predicted using a proportional hazards model for

competing risks based on TCR repertoire characteristics. TCR sequences and somatic mutations will be

analyzed using a structure based prediction algorithms we developed to predict candidate leukemia neoantigens

and associated TCR clones. Neoantigens will be validated using in vitro and murine models. Finally, functional

analyses will examine the effect of midostaurin on TCR repertoire and function. Our findings will establish the

TCR repertoire as a useful tool for predicting clinical outcomes of HSCT and identify responsible TCR clones.

The identification of TCR clones associated with the GvL effect against FLT3-ITD+ cells will facilitate the

development of engineered T cells expressing GvL-associated TCR clones. Modifying the TCR repertoire

composition via therapies targeting specific somatic mutations will facilitate development of optimized

combinational therapeutic approaches, such as the addition of targeted therapy to post-transplant regimens.

Grant Number: 5R01CA248381-05
NIH Institute/Center: NIH

Principal Investigator: Houda Alachkar

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