grant

The genetic and epigenetic cartography of multiple myeloma

Organization EMORY UNIVERSITYLocation ATLANTA, UNITED STATESPosted 1 Jul 2023Deadline 30 Jun 2026
NIHUS FederalResearch GrantFY2024Active Follow-upAntibodiesB cell differentiationB lymphocyte differentiationBS-seqBasal Transcription FactorBasal transcription factor genesBinding SitesBiologyBisulfite-based sequencingBlood Plasma CellCRISPRCRISPR/Cas systemCancer GenesCancer-Promoting GeneCancerousCancersCell Growth in NumberCell LineCell MultiplicationCell ProliferationCell divisionCell secretionCellLineCellular ProliferationCellular SecretionCessation of lifeChromosomesClinical DataClustered Regularly Interspaced Short Palindromic RepeatsCombining SiteComputer AnalysisCoupledDNADNA AlterationDNA IntegrationDNA MethylationDNA MethyltransferaseDNA Modification MethylasesDNA Modification MethyltransferasesDNA Sequence AlterationDNA mutationDNA-MethyltransferasesDataDeathDeoxyribonucleic AcidDiagnosisDiseaseDisease OutcomeDisorderDnmtEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessEventExhibitsFoundationsFunctional RNAGene ExpressionGene TranscriptionGeneral Prognostic FactorGeneral Transcription Factor GeneGeneral Transcription FactorsGenesGeneticGenetic AlterationGenetic ChangeGenetic MarkersGenetic TranscriptionGenetic defectGenetic mutationGenomicsHeritabilityMalignant NeoplasmsMalignant TumorMapsMiceMice MammalsMitoticModelingModificationModification MethylasesMolecularMultiple MyelomaMultivariate AnalysesMultivariate AnalysisMurineMusMutationNewly DiagnosedNon-CodingNon-Coding RNANon-translated RNANoncoding RNANontranslated RNAOncogenesOutcomePathway interactionsPatient outcomePatient riskPatient-Centered OutcomesPatient-Focused OutcomesPatientsPhenotypePlasma CellsPlasma-Cell MyelomaPlasmacytesPrognostic FactorPrognostic MarkerPrognostic/Survival FactorProliferatingRNA ExpressionRNA SeqRNA sequencingRNAseqReactive SiteRefractoryRelapseResearch SpecimenRiskRoleSamplingSequence AlterationSiteSite-Specific DNA-methyltransferaseSpecimenStrains Cell LinesTestingTherapeuticTrainingTranscriptionTranscription Factor Proto-OncogeneTranscription factor genesTransforming GenesTumor Suppressor ProteinsUntranslated RNAValidationWorkactive followupadaptive immunityadverse consequenceadverse outcomebisulfite sequencingbisulfite-seqcancer riskcomputational analysescomputational analysiscomputer analysescultured cell linedisease riskdisorder riskearly experienceentire genomeepigenetic regulationepigeneticallyexpression subtypesfollow upfollow-upfollowed upfollowupfull genomegene biomarkergene expression biomarkergene markergene signature biomarkergenetic architecturegenetic biomarkergenome mutationgenome sequencinggenomic alterationhigh riskinsightmalignancymolecular biomarkermolecular markermolecular sub-typesmolecular subsetsmolecular subtypesmyelomamyelomatosisneoplasm/cancernoncodingpathwaypatient oriented outcomespatient stratificationplasma cell differentiationplasmocyteprognosticprognostic biomarkerprognostic of overall survivalprognostic of survivalprogramsresponsesecondary analysissocial rolestratified patientsurvival prognosistranscription factortranscriptome sequencingtranscriptomic sequencingtranslational studytumor DNAtumor cell DNAtumor suppressortumor-specific DNAvalidationswhole genome
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Full Description

Project Summary
Genetic and gene expression studies have revolutionized our understanding of the plasma cell malignancy

multiple myeloma. As a result, myeloma molecular subtypes have been defined, and genetic markers of high-

risk disease now prioritize patients for risk-adapted therapies. Yet current molecular markers fail to identify over

40% of high-risk patients who relapse or die within two years of diagnosis. High-risk myeloma is exemplified by

a proliferation gene expression subtype that contains genetic alterations normally found in standard-risk

subtypes. Therefore, this high-risk myeloma is not explained by underlying genetic events suggesting an

epigenetic component. Epigenetic modifications such as DNA methylation (DNAm) regulate gene expression

and provide mechanistic insight into tumor suppressor and oncogene activity. Importantly, DNAm is maintained

through cell division and can propagate cancerous phenotypes. Our studies in mice have shown a dramatic

remodeling of DNAm during plasma cell differentiation, and that disruption of DNA methyltransferase activity

promotes plasma cell proliferation. Yet there is limited data on the role of DNAm in high-risk myeloma and the

proliferation subtype. We hypothesize that dysregulation of DNAm contributes to uncontrolled proliferation in

high-risk myeloma. This will be investigated through computational analyses of somatic genetic alterations from

whole genome sequencing, gene expression from RNA-seq, and DNAm data derived from whole genome

bisulfite sequencing on 392 specimens from the CoMMpass trial (NCT01454297). In aim 1, we will determine

the DNAm program of myeloma subtypes defined by both somatic alterations and gene expression. Here, a

focus will be to elucidate the epigenetic program of high-risk proliferative disease. In aim 2, we will identify the

DNAm program prognostic of poor outcome and contrast that with changes observed in relapsed specimens.

DNAm loci associated with the proliferative subtype, prognostic of outcome, and reprogrammed in relapse

myeloma will be prioritized for interrogation using CRISPR-based site-specific epigenetic editing. Results from

these aims will help resolve the functional consequences of dysregulated DNAm in aggressive myeloma and

provide a molecular map of multiple myeloma in the context of patient outcomes. Insights from this work will

prioritize avenues for follow-up translational and mechanistic studies to target high-risk multiple myeloma.

Grant Number: 5R21CA280584-02
NIH Institute/Center: NIH

Principal Investigator: Benjamin Barwick

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