grant

Interrogating malignant gliomas using released tumor DNA in cerebrospinal fluid

Organization JOHNS HOPKINS UNIVERSITYLocation BALTIMORE, UNITED STATESPosted 1 Jul 2018Deadline 30 Jun 2026
NIHUS FederalResearch GrantFY2024AbscissionAllelesAllelomorphsAssayBenchmarkingBest Practice AnalysisBioassayBiological AssayBiological MarkersBiopsyBloodBlood Reticuloendothelial SystemBody FluidsBody TissuesBrainBrain CancerBrain Nervous SystemCancer PatientCancersCaringCerebrospinal FluidClinicalDNADataDeoxyribonucleic AcidDetectionDevelopmentDiagnosisDiagnosticDiseaseDisease ProgressionDisorderDisseminated SclerosisDoseEncephalonEvolutionExcisionExtirpationFutureGenetic AlterationGenetic ChangeGenetic defectGenomicsGenotypeGlial Cell TumorsGlial NeoplasmGlial TumorGliomaGoalsIndividualInfectionKarnofskyKarnofsky IndexKarnofsky Performance StatusKarnofsky Performance Status ScaleKarnofsky ScaleMalignant CellMalignant Glial NeoplasmMalignant Glial TumorMalignant GliomaMalignant NeoplasmsMalignant Neuroglial NeoplasmMalignant Neuroglial TumorMalignant TumorMalignant Tumor of the BrainMalignant neoplasm of brainMeasuresMolecular EvolutionMonitorMultiple SclerosisMutationNecrosisNecroticNeuroglial NeoplasmNeuroglial TumorNeurological SurgeryNeurosurgical ProceduresNormal TissueNormal tissue morphologyOperative ProceduresOperative Surgical ProceduresOutcomeParentsPathologicPatientsProcessPrognosisRadiation therapyRadiographyRadiotherapeuticsRadiotherapyRecurrenceRecurrentRecurrent NeoplasmRecurrent tumorRemovalReoperationRepeat SurgeryResearchRoentgenographySamplingSomatic MutationSpecific qualifier valueSpecificitySpecifiedSputumSteroid CompoundSteroidsSurgicalSurgical InterventionsSurgical ProcedureSurgical RemovalTechniquesTestingTimeTissuesTumor BurdenTumor CellTumor LoadTumor TissueTumor-DerivedUncertaintyUrineWorkbenchmarkbio-markersbiologic markerbiomarkerburden of diseaseburden of illnesscancer biomarkerscancer cellcancer markerscancer progressioncell free DNAcell free circulating DNAcerebral spinal fluidchemotherapycohortdevelopmentaldiagnostic tooldigitaldisease burdendoubtdriver lesiondriver mutationexome sequencingexome-seqexperiencegenome mutationglial-derived tumorhigh riskimage-based methodimaging methodimaging modalityimprovedindividualized biomarkersindividualized therapeuticinsightinsular sclerosislongitudinal imagingmalignancyminimally invasivemutantneoplasm progressionneoplasm recurrenceneoplasm/cancerneoplastic cellneoplastic progressionneuroglia neoplasmneuroglia tumorneurosarcoidosisnew drug treatmentsnew drugsnew pharmacological therapeuticnew therapeuticsnew therapynext generation therapeuticsnovel drug treatmentsnovel drugsnovel pharmaco-therapeuticnovel pharmacological therapeuticnovel therapeuticsnovel therapyoptimal therapiesoptimal treatmentsparentpatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespersonalized biomarkerspersonalized therapeuticradiation treatmentradiologic imagingradiological imagingresectionresponse to therapyresponse to treatmentserial imagingsomatic variantspecific biomarkersspinal fluidsurgerytherapeutic responsetherapy responsetreatment effecttreatment responsetreatment responsivenesstreatment with radiationtumortumor DNAtumor cell DNAtumor progressiontumor-specific DNA
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Full Description

PROJECT SUMMARY
There are no biomarkers that are currently used in the management of high-grade gliomas.

Therefore, patients are often required to undergo invasive biopsies or surgical resection to

differentiate disease progression from treatment related changes, quantify disease burden and

track the molecular evolution of these difficult to treat cancers. In work performed to date, we

have been able to demonstrate that CSF is a rich reservoir for tumor derived DNA. We are now

expanding upon that work to develop a multi-analyte assay that will incorporate copy number

changes, sub-chromosomal changes and somatic mutations. We anticipate that by looking at

multiple analytes we will be able to improve sensitivity of the assay while also being able to have

a more wholistic understanding of the cancer genotype. The specificity of this multi-analyte assay

will be tested using CSF from individuals without cancer. In the short term, we anticipate that this

approach will allow us to generate personalized biomarkers capable of tracking brain cancers and

providing insights into the tumor genotype, thereby allowing clinicians to make more informed

decisions in real-time. In the long term, we anticipate that we can gain a broader understanding of

the CSF DNA composition in non-neoplastic states, such as multiple sclerosis, neurosarcoidosis

or infection. This could have broad ranging impact on our ability to diagnose and monitor other

disorders impacting the brain.

Grant Number: 5R37CA230400-07
NIH Institute/Center: NIH

Principal Investigator: CHETAN BETTEGOWDA

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