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Circulating Genomic Determinants of Treatment Failure in Hodgkin Lymphoma

Circulating Genomic Determinants of Treatment Failure in Hodgkin Lymphoma
霍奇金淋巴瘤治疗失败的循环基因组决定因素
批准号:
10588252
负责人:
Ash Arash Alizadeh
金额:
$64.09万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-03-04 至 2026-02-28
关键词:
Antibody-drug conjugatesBiological AssayBiological MarkersBiotechnologyBloodCancer PatientCellsClinicalCytotoxic ChemotherapyDNA Sequence AlterationDependenceDevelopmentDiagnosisDiseaseDisease remissionDoctor of MedicineDoctor of PhilosophyEventFailureFrequenciesGeneticGenomicsGenotypeGoalsHeterogeneityHodgkin DiseaseHumanHuman Herpesvirus 4IL4 geneImageIndividualInterleukin 4 ReceptorMalignant NeoplasmsMeasurableMeasurementMeasuresMetabolicMethodsModelingMolecularMonitorMutationNatureOutcomePathologicPathway interactionsPatientsPhenotypePlasmaPositron-Emission TomographyPrecision therapeuticsPrediction of Response to TherapyPropertyPublic HealthRecurrenceRegimenRiskRisk FactorsSTAT6 geneSignal TransductionSomatic MutationStereotypingTechniquesTestingTherapeuticTherapeutically TargetableToxic effectToxicity due to chemotherapyTreatment EfficacyTreatment FailureTreatment outcomeTumor TissueTumor VolumeVariantViral GenomeWorkbiological heterogeneitycancer cellcancer imagingclinical biomarkersclinical heterogeneitycohortcytokinedisorder riskexomeexperimental studygain of functiongenetic varianthigh riskimaging modalityimaging studyimmune checkpoint blockadeimprovedindexinginduced pluripotent stem cellinnovationinsightintegration siteliquid biopsymolecular markerneoplastic cellnovelnovel therapeutic interventionoutcome predictionpersonalized medicinepersonalized risk predictionpre-clinicalprecision medicineprognosticationresponseresponse biomarkerrisk predictionrisk prediction modeltargeted treatmenttherapeutic targettherapy outcometumortumor DNA

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PROJECT SUMMARY/ABSTRACT PIs: Ash Alizadeh, M.D./Ph.D. & Maximilian Diehn, M.D./Ph.D. Classical Hodgkin lymphoma (HL) is among the most curable human malignancies. However, strategies to personalize HL therapies and to minimize long-term attendant toxicities of chemotherapy are currently limited to baseline risk factors and imaging. This is due to our incomplete understanding of targetable pathways and lack of good biomarkers. Because of the low fraction of malignant cells in tumor tissue and consecutive technical challenges, the landscape of HL is not well-defined. Our long-term goal is to study the ability of baseline and dynamic risk factors, including genetic mutations, circulating tumor DNA (ctDNA) and imaging studies (PET), to accurately predict treatment outcomes in HL patients, and to provide a basis for individualized precision medicine. Our central hypothesis is that clinical and biological heterogeneity in HL reflects distinct genomic features that are noninvasively measurable using ultrasensitive ctDNA techniques, and that refining early response assessment integrating interim PET and blood based methods improves prognostication. We will test our hypotheses via three specific aims: (1) To noninvasively define the genomic landscape of somatic variations in HL, and to determine the relationship of genomic variants with biological heterogeneity at initial disease presentation, (2) To associate molecular features at baseline and molecular response with ultimate therapeutic outcome, and to integrate clinical and molecular biomarkers in a personalized dynamic risk model for predicting HL outcomes, and (3) To functionally characterize novel mutations in Interleukin-4 receptor (IL4R) resulting in gain-of-function IL4/STAT6 signaling, and to test the utility of precision therapeutic targeting of these mutations. If successful, our project will lead to novel ways to select better therapies for patients at highest risk of failure, and to minimize toxicity for the majority of patients responding well to standard therapy. Our innovative approach, in which we will combine blood-based methods for genotyping and disease monitoring with imaging studies, will provide the basis for a personalized treatment approach in HL.
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Circulating Genomic Determinants of Treatment Failure in Hodgkin Lymphoma
  • 批准号:
    10157567
  • 项目类别:
  • 资助金额:
    $65.47万
  • 财政年份:
    2021
  • 负责人:
    Ash Arash Alizadeh
  • 依托单位:
Circulating Genomic Determinants of Treatment Failure in Hodgkin Lymphoma
  • 批准号:
    10364663
  • 项目类别:
  • 资助金额:
    $64.09万
  • 财政年份:
    2021
  • 负责人:
    Ash Arash Alizadeh
  • 依托单位:
Analysis of urine tumor nucleic acids for detection and personalized surveillance of bladder cancer
  • 批准号:
    10656481
  • 项目类别:
  • 资助金额:
    $58.51万
  • 财政年份:
    2020
  • 负责人:
    Ash Arash Alizadeh
  • 依托单位:
Molecularly-based outcome and toxicity prediction after radiotherapy for lung cancer
  • 批准号:
    10611910
  • 项目类别:
  • 资助金额:
    $61.68万
  • 财政年份:
    2020
  • 负责人:
    Ash Arash Alizadeh
  • 依托单位:
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