grant

Trajectory and Architecture of Microenvironment-Mediated Resistance in AML

Organization OREGON HEALTH & SCIENCE UNIVERSITYLocation PORTLAND, UNITED STATESPosted 30 Sept 2017Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY2025AML - Acute Myeloid LeukemiaAML1AMLCR1ATAC sequencingATAC-seqATACseqAcute Myeloblastic LeukemiaAcute Myelocytic LeukemiaAcute Myelogenous LeukemiaAfter CareAfter-TreatmentAftercareArchitectureAssay for Transposase-Accessible Chromatin using sequencingB cell lymphoma 2B-Cell CLL/Lymphoma 2 GeneB-cell lymphoma/leukemia-2BCL2BCL2 geneBM Stem CellBM derived progenitorBM progenitorBM- derived Stem CellsBasic Fibroblast Growth FactorBasic Fibroblast Growth Factor GeneBcl-2BiologyBlood monocyteBone MarrowBone Marrow Reticuloendothelial SystemBone Marrow Stem CellBone Marrow progenitorCBFA2CRISPRCRISPR editing screenCRISPR screenCRISPR-based screenCRISPR/Cas systemCRISPR/Cas9 screenCell BodyCell Communication and SignalingCell LineCell SignalingCell SurvivalCell ViabilityCellLineCellsClinicalClustered Regularly Interspaced Short Palindromic RepeatsCo-cultureCocultivationCocultureCoculture TechniquesCombined Modality TherapyCommunicationComplexCytotoxic cellDNA mutationDNA seqDNA sequencingDNAseqDataData SetDevelopmentDrug CombinationsDrug ModulationDrug SensitizationDrug TherapyDrug resistanceDrugsEngineeringEngineering / ArchitectureEnvironmentEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessEventEvolutionExposure toFGF-2FGF2FGF2 geneFGFBFLK2FLT3FLT3 geneFLT3 inhibitorFMS-like tyrosine kinase 3Fibroblast Growth Factor 2Fibroblast Growth Factor 2 GeneFlow CytofluorometriesFlow CytofluorometryFlow CytometryFlow MicrofluorimetryFlow MicrofluorometryFms-Related Tyrosine Kinase 3FundingGene ExpressionGeneralized GrowthGeneticGenetic ChangeGenetic HeterogeneityGenetic defectGenetic mutationGoalsGrowthGrowth AgentsGrowth FactorGrowth SubstancesHBGF-2Heparin-Binding Growth Factor 2Heparin-Binding Growth Factor Class IIHeterogeneityIL-1IL1ImmuneImmune EvasionImmune TargetingImmune signalingImmunesImmunofluorescenceImmunofluorescence ImmunologicImmunologic FactorsImmunological FactorsImmunomodulationInflammationInflammatoryInterleukin IInterleukin-1Intracellular Communication and SignalingJAK-2JAK2JAK2 geneJAK2 proteinJanus kinase 2K lymphocyteLeukemic CellLeukemic progenitor and stem cellLymphocyte-Stimulating HormoneMEKsMacrophage Cell FactorMalignantMalignant - descriptorMalignant CellMapsMarrow monocyteMediatingMedicationMethylationModelingMolecularMultimodal TherapyMultimodal TreatmentMultiomic DataMutationNK CellsNatural Killer CellsOrganoidsOutcomePEBP2A2PEBP2aBPathogenesisPathway interactionsPatientsPharmaceutical PreparationsPharmacological TreatmentPharmacotherapyPlayProcessProstate Epithelial Cell Growth FactorProteins Growth FactorsProteomicsRNA SeqRNA sequencingRNAseqRUNX1RUNX1 geneRecurrent diseaseRefractoryRefractory DiseaseRelapseRelapsed DiseaseResidualResidual stateResistanceRoleRouteSTK-1 kinaseSTK1SamplingScreening ResultShapesSignal PathwaySignal TransductionSignal Transduction SystemsSignalingStem Cell Tyrosine Kinase 1Strains Cell LinesStressStromal CellsT Helper FactorT-CellsT-LymphocyteTestingTherapeuticTherapeutic InterventionTissue GrowthTumor CellTyrosine-Protein Kinase JAK2acquired drug resistanceacute granulocytic leukemiaacute granulocytic leukemia cellacute myeloblastic leukemia cellacute myelocytic leukemia cellacute myelogenous leukemia cellacute myeloid leukemiaacute myeloid leukemia cellacute nonlymphocytic leukemia cellassay for transposase accessible chromatin followed by sequencingassay for transposase accessible chromatin seqassay for transposase accessible chromatin sequencingassay for transposase-accessible chromatin with sequencingbFGFbcl-2 Genesbiological signal transductionbone marrow derived progenitorbone marrow derived stem cellsbone marrow stromal cellbone marrow stromal stem cellcancer cellcancer microenvironmentced9 homologclustered regularly interspaced short palindromic repeats screencombination therapycombined modality treatmentcombined treatmentcomputer based predictioncultured cell linecytokinedata integrationdeep sequencingdevelop drug resistancedevelopmentaldisease controldisorder controldrug interventiondrug resistance developmentdrug resistantdrug sensitivitydrug treatmentdrug/agentepigeneticallyfetal liver kinase-2fetal liver kinase-3flow cytophotometrygenome mutationgenome scalegenome-widegenomewideimmune evasiveimmune modulationimmune regulationimmunologic reactivity controlimmunologic substanceimmunological substanceimmunomodulatoryimmunoregulationimmunoregulatoryimprovedinhibitorintervention therapyleukemialeukemia stem/initiating cellsleukemic progenitorleukemic stem celllymphocyte activating factormonocytemulti-modal therapymulti-modal treatmentmultiple omic dataneoplastic cellnetwork modelsnew combination therapiesnew therapeutic approachnew therapeutic interventionnew therapeutic strategiesnew therapy approachesnew treatment approachnew treatment strategynovelnovel therapeutic approachnovel therapeutic interventionnovel therapeutic strategiesnovel therapy approachontogenypathwaypharmaceutical interventionpharmacological interventionpharmacological therapypharmacology interventionpharmacology treatmentpharmacotherapeuticspost treatmentpredictive modelingresistance mechanismresistance to Drugresistantresistant mechanismresistant to Drugresponseresponse to therapyresponse to treatmentscRNA sequencingscRNA-seqscreeningscreeningssingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell transcriptomic profilingsingle-cell RNA sequencingsmall molecular inhibitorsmall molecule inhibitorsocial roletargeted drug therapytargeted drug treatmentstargeted therapeutictargeted therapeutic agentstargeted therapytargeted treatmenttherapeutic responsetherapeutic targettherapy responsethymus derived lymphocytetranscriptome sequencingtranscriptomic sequencingtranscriptomicstranslational impacttreatment responsetreatment responsivenesstumortumor microenvironment
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Full Description

PROJECT SUMMARY/ABSTRACT: Project 2
Outcomes for acute myeloid leukemia (AML) patients have improved little over four decades. This is largely due

to the development of acquired drug resistance and refractory disease. Thus, there is an urgent need for new

strategies to target residual AML cells or refractory clones before they trigger disease relapse. The tumor

microenvironment is a key factor in the development of malignant progression and therapy resistance. The bi-

directional communication between cancer cells and microenvironmental cells is much more complex than

initially perceived. Thus, one strategy to reduce relapse is to target the signaling mediated by growth factors

secreted by stromal or immune cells within the bone marrow microenvironment that play a critical role in

promoting leukemia cell survival, development of drug resistance, and immune evasion. Therefore, the long-

term goal of this project is to deconvolute the comprehensive network of events and cellular heterogeneity that

contribute to acquired resistance in a context dependent manner to identify new therapeutic approaches. As part

of our prior U54 DRSN funding, omics-based analysis of 350 primary AML patient samples found that multiple

secreted cytokines and immune factors may contribute to drug resistance. Therefore, we hypothesize that

reprogramming of the bone marrow niche modulates drug response and drives acquired resistance in AML.

Comprehensive understanding of these mechanisms will lead to the identification of new combination therapies.

We will focus on 5 essential therapeutic targets in AML: BCL2, FLT3, JAK2, MEK, and epigenetic pathways and

will address this hypothesis following three well integrated aims. In Aim 1, we will map microenvironmental

signatures and tumor cross-talk mechanisms against drug response features of AML by performing single cell

gene expression and epigenetic analyses in the context of bone marrow niche. Tumor microenvironment cross-

talk will be further explored in Aim 2 focusing on monocytes and stromal cells and in the context of NK and T

cells in Aim 3 by performing CRISPR/Cas screening with co-culture platforms. Identified targets/pathways will

be validated to fully define microenvironmental mechanisms of acquired drug resistance. These results will build

predictive models of signaling crosstalk in response to therapeutic stress and identify combination therapies to

overcome acquired resistance, particularly in the context of the microenvironment. We will test the effect of these

inhibitors on cell viability, cellular heterogeneity, differentiation, and target inhibition using multi-parametric flow

cytometry and immunofluorescence analysis. We will integrate these findings with Project 1 and prioritized

targets will be tested for their translational impact in Project 3. Overall, elucidating the influence of

microenvironment-driven signaling on drug response and survival of AML cells will help identify novel tractable

targets for combination therapies to overcome acquired drug resistance in AML.

Grant Number: 3U54CA224019-08S1
NIH Institute/Center: NIH

Principal Investigator: Anupriya Agarwal

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