grant
Unraveling Drug Response Heterogeneity and Personalizing Treatment in Cancer
Organization NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCESLocation UNITED STATES
NIHUS FederalResearch GrantFY2025AccountingAddressAgonistAlgorithmsBRG-1BRG-1 GeneBRG1BRG1 GeneBRM/SWI2-Related Gene-1Basal Transcription FactorBasal transcription factor genesBehaviorBindingBreastBreast Cancer CellBreast Cancer TreatmentBreast Cancer cell lineBreast tumor cell lineCDH1CDH1 geneCDHECDS1CHEK2CHEK2 geneCHK2Cadherin-1Cancer cell lineCancersCds1 kinaseCell BodyCell FunctionCell LineCell PhysiologyCell ProcessCellLineCellsCellular FunctionCellular PhysiologyCellular ProcessCharacteristicsChk2 protein kinaseChromatinClinicalCollaborationsDataData SetDexamethasoneDrugsE-CadherinEncapsulatedEnsureEpithelial Calcium-Dependent Adhesion ProteinEpithelial-CadherinEpitheliumEventExhibitsExpression SignatureFluorescence Activated Cell Sorting FractionationFluorescence-Activated Cell SortingFluorescence-Activated Cell SortingsGene Expression ProfileGene TranscriptionGeneral Transcription Factor GeneGeneral Transcription FactorsGeneralized GrowthGenesGenetic TranscriptionGenomicsGlucocorticoid ReceptorGlucocorticoidsGoalsGrowthHeterogeneityHormonalHourHumanIndividualIntratumoral heterogeneityKnowledgeLCAMLabelLaboratoriesLinkLiquid substanceLocationMCF-7MCF-7 CellMCF-7DRMCF-7WTMCF7MCF7 cellMalignant CellMalignant NeoplasmsMalignant TumorMapsMedicationMesenchymalMethodsModelingModern ManMolecularMolecular Dynamics SimulationMolecular InteractionMultiomic DataNR3C1NR3C1 geneNR3C2NR3C2 genePP1425Pathway interactionsPatternPharmaceutical PreparationsPhenotypeProliferatingProteinsRAD53RNA ExpressionReceptor ProteinSMARCA4SMARCA4 geneSNF2-BetaSWI/SNF-Related, Matrix-Associated, Actin-Dependent Regulator of Chromatin, Subfamily A, Member 4 GeneSamplingShapesStrains Cell LinesSubcellular ProcessT-47DT47DTNBCTestingTherapeuticTimeTissue GrowthTranscriptionTranscription Factor Proto-OncogeneTranscription factor genesTreesUvomorulinVariantVariationWorkbreast tumor cellcancer cellcheck point kinase 2checkpoint kinase 2clinical relevanceclinically relevantcomputer based predictioncultured cell linedesigndesigningdifferential expressiondifferentially expresseddrug response predictiondrug/agentfluidgene expression patterngene expression signaturegene signaturesgenetic signatureheterogeneity in tumorsimprovedindividualized cancer careindividualized oncologyinnovateinnovationinnovativeintra-tumoral heterogeneityintratumor heterogeneityliquidmachine learning based frameworkmachine learning frameworkmalignancymolecular dynamicsmolecular phenotypemultiple omic dataneoplasm/cancerneural network algorithmontogenypathwaypatient responsepatient specific responsepatient stratificationpersonalization of treatmentpersonalized medicinepersonalized oncologypersonalized therapypersonalized treatmentprecision cancer careprecision cancer medicineprecision oncologypredict responsivenesspredicting responsepredictive modelingpredictive signaturereceptorreceptor expressionresponseresponse to therapyresponse to treatmentresponsive patientscRNA sequencingscRNA-seqserine-threonine-protein kinase Chk2single cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell transcriptomic profilingsingle-cell RNA sequencingstratified patienttherapeutic responsetherapeutically effectivetherapy responsetooltranscription factortranscriptional differencestranscriptional profiletranscriptional signaturetranscriptomicstreatment responsetreatment responsivenesstreatment strategytriple-negative breast cancertriple-negative invasive breast carcinomatumortumor heterogeneity
Description preview
We developed PHENO-DEX, an experimental and machine-learning framework designed to characterize cancer cell response spectrums using dynamic molecular phenotypes. PHENO-DEX is specifically applied to dexamethasone (Dex) treatment, a widely used glucocorticoid receptor (GR) agonist that influences gene transcription. While Dex is commonly used in…
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