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Validation of Clinical Assays for Risk Stratification of Children With Pediatric Liver Neoplasms

Validation of Clinical Assays for Risk Stratification of Children With Pediatric Liver Neoplasms
小儿肝肿瘤儿童风险分层临床测定的验证
批准号:
10663695
负责人:
Dolores Lopez-Terrada
金额:
$33.3万
依托单位:
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:
2023-07-01 至 2026-06-30
关键词:
5 year old6 year oldAdolescentAffectBiological AssayBiological MarkersBiologyCLIA certifiedCardiotoxicityCategoriesCertificationCessation of lifeChildChildhoodCisplatinClassificationClinicalClinical TrialsCollaborationsCombination Drug TherapyCombined Modality TherapyDataDevelopmentDiagnosisDrug resistanceEnrollmentEuropeEuropeanExcisionFundingGraft RejectionHepaticHepatoblastomaHigh Dose ChemotherapyHistologyImmunotherapyImpairmentInternationalInterventionIntervention StudiesInvestigational TherapiesLesionLiverLiver neoplasmsMalignant NeoplasmsMedicalModelingMolecularMolecular DiagnosisMolecular ProfilingMorbidity - disease rateNeoplasm MetastasisNeoplasmsNonmetastaticOperative Surgical ProceduresOutcomePatient RecruitmentsPatient-Focused OutcomesPatientsPediatric NeoplasmPediatric Oncology GroupPediatric cohortPlayPreparationPrimary carcinoma of the liver cellsPrognosisPrognostic MarkerQuality of lifeResectedResistanceRiskRisk EstimateSecond Primary CancersStratificationSurvival RateTestingTherapeutic TrialsToxic effectTreatment outcomeTreatment-related toxicityTumor SubtypeUnresectableValidationWorkaggressive therapybiomarker validationchemotherapeutic agentchemotherapycohortdosagehigh riskimprovedimproved outcomeliver cancer patientliver transplantationmolecular markermolecular modelingnephrotoxicityneurotoxicityototoxicityparticipant enrollmentpersonalized medicinepredictive markerpredictive modelingpredictive testprofiles in patientsprospectiverecruitresearch clinical testingresponserisk predictionrisk prediction modelrisk stratificationtargeted treatmenttransplantation therapytreatment optimizationtumor

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Project Summary Hepatoblastoma (HB) and hepatocellular carcinoma (HCC) are the most frequently diagnosed liver tumors in children, with HBs most commonly present in young children less than 5 years of age, and HCCs are more commonly seen in adolescents. HB- and HCC-patient outcomes and treatment options vary dramatically, with 5-year overall survival rates of over 70% for HB and under 30% for HCC patients. While a combination of chemotherapy and surgery is effective for lower-risk HBs, 3-year overall survival for high-risk HBs is 50%. High- dose chemotherapy, which is often ineffective for high-risk HBs, is associated with significant morbidity. Complete surgical resection is the only chance for a cure for HCC. Molecular biomarkers can help optimize treatments for patients that will not benefit from chemotherapy or that do not require high dosage chemotherapy and identify patients that require a combination of aggressive surgery and chemotherapy. In previous work, we, and our collaborators, identified prognostic biomarkers that distinguish between low- and high-risk HBs at diagnosis. We proposed and retrospectively evaluated predictive models to classify patients based on risk—including their need for aggressive therapies. These models identify patients that do not require aggressive therapies, patients that will benefit from aggressive therapies, and patients with tumors that are more likely to metastasize and become resistant to chemotherapy. We developed and certified molecular assays to profile patients and tumors for predictive biomarker used by these models. Here, we propose to prospectively validate these biomarkers, assays, and models to produce the first validated platform for the molecular diagnosis and therapy choice for HBs and HCC. We will benefit from a close collaboration with clinical-trial produced data in the USA and EU, including AHEP1531 (USA), ChILTERN (EU) and iPC (a EU-USA collaboration).
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