grant

Remodeling of 3D chromatin in B cell acute leukemia and its impact on clinical outcome

Organization NEW YORK UNIVERSITY SCHOOL OF MEDICINELocation NEW YORK, UNITED STATESPosted 1 Apr 2021Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY20250-11 years old3-D3-Dimensional3C-based approach3C-based assay3C-based method3C-based strategy3C-based technique3C-based technology3DAcute Lymphoblastic LeukemiaAcute Lymphocytic LeukemiaAcute Lymphoid LeukemiaAcute leukemiaAddressAdolescentAdolescent YouthAffectArchitectureAutomobile DrivingB blood cellsB cellB cellsB-CellsB-LymphocytesB-cellBiologyCancer CauseCancer EtiologyCancer PatientCancersCell BodyCell Growth and MaintenanceCell LineCell MaintenanceCellLineCellsChildChild YouthChildhood LeukemiaChildren (0-21)ChromatinChromatin LoopChromatin Loop DomainsChromosomesClinicalClonal EvolutionDNADNA LoopDNA mutationDataDeoxyribonucleic AcidDiagnosisDiseaseDisease ProgressionDisease remissionDisorderDrug TherapyEngineering / ArchitectureEnhancersEnsureEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessEventEvolutionExhibitsFishesGene Action RegulationGene ExpressionGene Expression RegulationGene RegulationGene Regulation ProcessGeneralized GrowthGeneticGenetic ChangeGenetic defectGenetic mutationGenomeGenomicsGrowthHematologic CancerHematologic MalignanciesHematologic NeoplasmsHematological MalignanciesHematological NeoplasmsHematological TumorHematopoietic CancerHeterogeneityImaging ProceduresImaging TechnicsImaging TechniquesIn VitroIndividualInfantLaboratoriesLarge-Scale SequencingLesionMaintenanceMalignant Hematologic NeoplasmMalignant NeoplasmsMalignant TumorMapsMeasuresMediatingMethodologyModelingModificationMolecular ConfigurationMolecular ConformationMolecular StereochemistryMutationNeighborhoodsNon-Polyadenylated RNAOutcomePDX modelPatient derived xenograftPatientsPediatric LeukemiaPharmacological TreatmentPharmacotherapyPlayPopulationPre-Clinical ModelPreclinical ModelsPrecursor Cell Lymphoblastic LeukemiaPrecursor Lymphoblastic LeukemiaProcessPrognosisRNARNA Gene ProductsRelapseRemissionResistanceResolutionRibonucleic AcidRoleSamplingStrains Cell LinesStructureSubgroupTechniquesTechnologyTherapeuticTissue GrowthWorkacute leukemia cellacute lymphatic leukemiaacute lymphogenous leukemiaacute lymphomatic leukemiaadult youthcancer death in childrencancer mortality in childrencancer progressioncancer related death in childrencell imagingcellular imagingchildhood cancer deathchildhood cancer mortalitychildren with leukemiachromatin conformation capturechromosome capturechromosome conformation captureclinical phenotypecohortcomputational pipelinesconformationconformationalconformational stateconformationallyconformationsconventional therapyconventional treatmentcultured cell linedrivingdrug interventiondrug treatmenteffective therapyeffective treatmentepigeneticallyepigenomeexperienceexperimentexperimental researchexperimental studyexperimentsgenetically engineered cellsgenetically modified cellsgenome mutationgenome scalegenome-widegenomewideimprovedin vitro Modelin vivoin vivo Modelinsightjuvenilejuvenile humankidsleukemialeukemia in childrenleukemic transformationmalignancymortalityneoplasm progressionneoplasm/cancerneoplastic progressionnovelontogenypatient derived xenograft modelpharmaceutical interventionpharmacological interventionpharmacological therapypharmacology interventionpharmacology treatmentpharmacotherapeuticsprecursor cellpromoterpromotorrelapse patientsresistantresolutionsresponseresponse to therapyresponse to treatmentside effectsingle moleculesocial rolestructural mutationstructural variantstructural variationtherapeutic responsetherapy responsethree dimensionaltranslational impacttreatment responsetreatment responsivenesstumortumor progressionyoung adultyoung adult ageyoung adulthoodyoungster
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Full Description

ABSTRACT
While the outcomes for children with acute lymphoblastic leukemia (ALL) have improved dramatically over the

past four decades, major challenges remain including the burden of conventional therapy and less progress in

major subgroups making ALL one of the leading causes of cancer death in children. Thus, targeted, more effec-

tive therapies are urgently needed. The current project builds on our recent studies implicating the epigenome

in transformation and response to therapy. Recent advances in chromatin conformation capture techniques have

revolutionized our understanding of chromatin organization and have provided novel insights at an unprece-

dented level of detail. Several studies have identified biologically-relevant structures in DNA-DNA contact maps,

such as A/B compartments, topologically-associating domains (TADs), and insulated neighborhoods, and have

elucidated the role of chromatin architecture in gene regulation and maintenance of cell identity. A handful of

very recent studies from our lab and others have shown that aberrant TAD activation or “rewiring” promoter-

enhancer interactions can promote cancer growth. However, no study has yet addressed the disruptions of chro-

matin organization on a genome-wide scale in cancer patients or how such disruptions modify the promoter-

enhancer landscape leading to leukemia initiation and therapy resistance and relapse. This study aims to ad-

dress these gaps by comparing the chromatin landscape in B ALL samples and normal B precursor cells to

identify chromatin architecture associated with transformation and to chart the evolution of topographic changes

from diagnosis to relapse using paired samples to discover 3D alterations associated with tumor progression. In

preliminary data, we have analyzed a small pilot cohort of 12 patients with matched diagnosis/relapse samples.

In this small cohort, we have already identified chromatin reorganization events at multiple levels: compartment

switches, changes in intra-TAD chromatin interactions, establishment of enhancer-promoter loops and structural

alterations that directly affect 3D topology. Such changes will be validated in preclinical models using genetically

engineered cell lines in vitro and in vivo as well as patient derived xenografts (PDX). Finally, to examine the

subclonal composition of promoter-enhancer loops we will use single cell DNA/RNA FISH and will use the same

methodology to track evolution in PDX models.

Grant Number: 5R01CA260028-05
NIH Institute/Center: NIH

Principal Investigator: William Carroll

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