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Evaluation of treatment predictors reflecting beta-catenin activation in hepatocellular carcinoma

Evaluation of treatment predictors reflecting beta-catenin activation in hepatocellular carcinoma
反映肝细胞癌β-连环蛋白激活的治疗预测因子的评估
批准号:
10693135
负责人:
Sandi Alexander Kwee
金额:
$58.67万
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:
2021-07-01 至 2027-06-30
关键词:
Biological MarkersCancer EtiologyCellsCessation of lifeCharacteristicsClassificationClinicalClinical TrialsCommunicationDNA Sequence AlterationDNA sequencingDecision TreesDetectionDiagnostic testsEffectivenessEvaluationExhibitsFDA approvedGenesGenetic EngineeringGenetic TranscriptionGoalsImageImmuneImmune checkpoint inhibitorImmunotherapyIncidenceIndividualInduced MutationLearningLigandsMachine LearningMalignant NeoplasmsMapsMetabolicMicrosatellite InstabilityMinorityMissense MutationModelingMolecularMutateMutationOdds RatioOncogenicOutcomeParticipantPathway interactionsPatient SelectionPatientsPerformancePharmaceutical PreparationsPhasePhase II Clinical TrialsPositron-Emission TomographyPrediction of Response to TherapyPrimary Malignant Neoplasm of LiverPrimary carcinoma of the liver cellsProcessProteinsRefractoryReportingResearchResistanceSignal PathwaySignal TransductionSourceTestingTranscription CoactivatorTranscriptional ActivationTreatment outcomeTumor EscapeTumor MarkersTumor SubtypeUnited StatesWomanX-Ray Computed Tomographyadvanced diseaseanti-PD-1antibody inhibitorbeta cateninblood-based biomarkercancer therapycell free DNAcheckpoint therapyclinic readyclinical diagnosticsclinical predictorscohortdeterminants of treatment resistancediagnostic toolfluorodeoxyglucosefluorodeoxyglucose positron emission tomographygenomic biomarkerimaging agentimaging biomarkerimmune-related adverse eventsimprovedliquid biopsymelanomamenmetabolic phenotypemigrationmolecular subtypesmortalitymutational statusneoplastic cellnext generation sequencingobjective response ratepredictive markerpredictive toolsprogrammed cell death protein 1programsprospectiveresponsescreeningtargeted sequencingtooltranscriptomicstreatment responsetumortumor DNAtumor microenvironmenttumor progressionuptake

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PROJECT SUMMARY/ABSTRACT Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide and its incidence is rising in both men and women in the United States. Anti-PD1 and anti-PD-L1 immune checkpoint inhibitor (ICI) antibodies are now FDA approved for advanced HCC, however, as few as 20% of patients receiving these agents will show an objective response to therapy. Because immune-related adverse events are non-trivial, predictive biomarkers that can explain the variability in immunotherapy response are needed to optimize patient selection. Several lines of research have recently converged to associate oncogenic activation of the Wnt/beta- catenin signaling pathway with tumor immune-evasion and poor clinical response to ICI therapy in HCC. In previous research, we found that HCC exhibiting high uptake of the positron emission tomography / computed tomography (PET/CT) imaging agent 18F- fluorocholine (FCH) often belonged to molecular tumor sub-types associated with beta-catenin activation and immune avoidance. Liquid biopsy based on targeted sequencing of cell-free DNA (cfDNA) has also made it possible to identify patients who have tumors that harbor mutations associated with increased Wnt/beta-catenin signaling. This project comprises a phase 2 biomarker clinical trial to prospectively evaluate these specific embodiments of PET/CT and liquid biopsy as tools for detecting HCC recalcitrant to ICI therapy on the basis of beta-catenin activation. In addition to characterizing and comparing the predictive capabilities of FCH PET/CT and cfDNA mutation profiling based on phase 2 clinical endpoints, this project will utilize decision tree based machine learning to estimate the predictive performance of an integrative imaging-genomic biomarker while also further examining how tumor mutations are related to PET metabolic phenotype and immunotherapy response. Furthermore, because tumor 18F-fluorodeoxyglucose (FDG) uptake is incongruent with FCH uptake in HCC, a third aim will utilize the trial as a molecular screening process to create an enriched sub-cohort of patients with FDG-avid tumors. These patients will undergo serial FDG PET/CT to evaluate FDG as a source of predictive biomarkers of ICI response for an orthogonal molecular sub-type of HCC. If these diagnostic tests are found reliable at predicting tumor resistance/response, they could significantly enhance the clinical precision and overall benefit of immunotherapy for HCC and possibly other cancers.
期刊论文(1)
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科研奖励(0)
会议论文
Immunotherapy biomarkers for HCC: contemporary challenges and emerging opportunities.
HCC 免疫治疗生物标志物:当代挑战和新兴机遇。
DOI: 10.20517/2394-5079.2022.58
发表时间: 2022
期刊: Hepatoma research
影响因子: --
作者: [Kwee,Sandi, Chen,Xin]
通讯作者: Chen,Xin
Evaluation of treatment predictors reflecting beta-catenin activation in hepatocellular carcinoma
  • 批准号:
    10437906
  • 项目类别:
  • 资助金额:
    $23.86万
  • 财政年份:
    2021
  • 负责人:
    Sandi Alexander Kwee
  • 依托单位:
Evaluation of treatment predictors reflecting beta-catenin activation in hepatocellular carcinoma
  • 批准号:
    10277385
  • 项目类别:
  • 资助金额:
    $52.0万
  • 财政年份:
    2021
  • 负责人:
    Sandi Alexander Kwee
  • 依托单位:
Functional Genomics and Molecular Imaging of Liver Disease and Cancer
  • 批准号:
    8294557
  • 项目类别:
  • 资助金额:
    $46.41万
  • 财政年份:
    2011
  • 负责人:
    Sandi Alexander Kwee
  • 依托单位:
Functional Genomics and Molecular Imaging of Liver Disease and Cancer
  • 批准号:
    8867166
  • 项目类别:
  • 资助金额:
    $41.17万
  • 财政年份:
    2011
  • 负责人:
    Sandi Alexander Kwee
  • 依托单位:
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