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Tumor-barcoding coupled with high-throughput sequencing for quantitative radiogenomics of the abscopal response in NSCLC

Tumor-barcoding coupled with high-throughput sequencing for quantitative radiogenomics of the abscopal response in NSCLC
肿瘤条形码与高通量测序相结合,用于 NSCLC 远隔反应的定量放射基因组学
批准号:
10601182
负责人:
Christopher Dennis McFarland
金额:
$54.17万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-01-01 至 2027-12-31
关键词:
Abscopal effectAnimalsAttentionBar CodesBiological AssayBiological AvailabilityBiological ModelsCancer ModelCell LineCellsClinicClinical ResearchClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsCombination immunotherapyCombined Modality TherapyCoupledDedicationsDisease modelDoseGeneticGenetically Engineered MouseGenomicsGenotypeGoalsHigh-Throughput Nucleotide SequencingHumanImmuneImmune systemImmunocompetentImmunologicsImmunotherapeutic agentImmunotherapyIn VitroLeftLinkLocal TherapyLungMalignant NeoplasmsMalignant neoplasm of lungMapsMediatingModalityModelingMolecularMolecular TargetNon-Small-Cell Lung CarcinomaOncogenesOncologyOralPathway interactionsPatient-Focused OutcomesPatientsPharmaceutical PreparationsPharmacogeneticsPharmacogenomicsPhase I/II Clinical TrialPreclinical TestingProbabilityProcessRadiationRadiation OncologistRadiation therapyRadioRadiogenomicsResearch Project GrantsResistanceRouteSamplingSchemeStandardizationSystemTechniquesTestingTreatment ProtocolsValidationVeterinariansWorkanti-PD-L1anti-PD-L1 therapyanti-tumor immune responsecancer immunotherapycancer subtypeschemoradiationchemotherapyco-clinical trialcurative treatmentsdeep sequencingimmunogenicimprovedin vivoin vivo Modelinhibitorinnovationneoplastic cellnovelpatient derived xenograft modelpre-clinicalpreclinical studyprogramsradiation responseresearch and developmentresistance mechanismresponsestandard of caresuccesstargeted agenttherapy resistanttooltreatment effecttreatment responsetumortumor growthtumor microenvironmenttumorigenesis

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英文摘要
Cancer immunotherapy (IMT) can produce robust and durable anti-tumor immune responses in some cases. However, many cancers are non-responsive to IMT and combination approaches need to be actively investigated, particularly in lethal tumors such as IMT-insensitive non-small cell lung cancer (NSCLC). Preclinical studies in general have been found to be poor predictors of success for IMT agents and chemoradiotherapy combinations in the clinic, likely due to poorly conceived and executed treatment protocols, dated disease model systems and lack of an existing framework for cross-validation of preclinical results. There is a need to develop a rigorous preclinical testing program for existing IMT agents combined with chemoradiation. NSCLC genetically engineered mouse models (GEMMs) of the major molecular NSCLC subtypes have been created. However, there are no NSCLC GEMMs that to our knowledge has demonstrated “abscopal” responses reliably to IMT, which is one unique strength of this current proposal. Also, a major limitation of existing GEMMs is the relatively small number of different genotypes that can be generated and their lack of quantitative precision. This proposal leverages a new technique, tumor barcoding with barcode deep-sequencing (Tuba-seq) and in vivo Cre-lox and CRISPR/Cre-mediated GEMMs to model oncogenesis and radiation-drug response with unprecedented precision and genomic-comprehensiveness. We are using this R01 mechanism in the present proposal via two Specific Aims stated below to test the following central hypotheses: (i) we hypothesize that treating with both anti-PD-L1 and a novel orally bioavailable ATR inhibitor (ATRi), AZD6738, in combination with chemoradiation will result in an improved and durable anti-tumor immune response in poorly immunogenic NSCLC GEMMs; and, (ii) Tuba-seq we will allow an unprecedented view of the radio-pharmacogenetic landscape of NSCLC responses in vivo. SPECIFIC AIM #1 – Establish a radio-pharmacogenetic map of oncogene-driven non-small cell lung cancer to both chemoradiation and combined chemoradiation/anti-PD-L1 therapy We propose to use novel CRISPR/Cre-mediated GEMMs of NSCLC to test the optimal combinations of chemoradiation with anti-PD-L1 IMT. We will then examine the mechanism of action of chemoradiation with IMT using multiparametric immunologic approaches and an innovative technique enabling lineage tracing and direct quantification of treatment effects on these different genetic backgrounds in vivo. SPECIFIC AIM #2 – Determine tumor cell genotype effects on combination anti-PD-L1 immunotherapy and ATRi with chemoradiotherapy in oncogene- driven non-small cell lung cancer. This Aim leverages our novel CRISPR/Cre-mediated GEMMs of NSCLC to test genotype effects on the combination of anti-PD-L1 and ATRi with chemoradiation. By using all these tools, we will be able to decode the major aspects of the molecular underpinnings of chemoradiation and combination IMT resistance in NSCLC, contributing to improved therapies and positively impacting patient outcomes.
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Quantifying the sources and dynamics of tumor growth variability using Tuba-seq
  • 批准号:
    10394424
  • 项目类别:
  • 资助金额:
    $24.9万
  • 财政年份:
    2020
  • 负责人:
    Christopher Dennis McFarland
  • 依托单位:
Quantifying the sources and dynamics of tumor growth variability using Tuba-seq
  • 批准号:
    10523113
  • 项目类别:
  • 资助金额:
    $24.9万
  • 财政年份:
    2020
  • 负责人:
    Christopher Dennis McFarland
  • 依托单位:
Quantifying the sources and dynamics of tumor growth variability using Tuba-seq
  • 批准号:
    10304318
  • 项目类别:
  • 资助金额:
    $24.9万
  • 财政年份:
    2020
  • 负责人:
    Christopher Dennis McFarland
  • 依托单位:
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