A feasibility trial of functional precision cancer medicine to inform treatment selection in metastatic breast cancer
A feasibility trial of functional precision cancer medicine to inform treatment selection in metastatic breast cancer
批准号:
10436097
负责人:
Christos Vaklavas
金额:
$17.94万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-04-01 至 2024-03-31
关键词:
Biologic CharacteristicBiologicalBiological AssayBiopsyClinicalClinical TreatmentClinical TrialsComplexDisease remissionDouble-Blind MethodDrug ScreeningERBB2 geneEcosystemEndocrineEnrollmentExhibitsGenerationsGenesGenomicsGenotypeGoldGrantHeterogeneityHistologyInstitutional Review BoardsLeadMalignant NeoplasmsMammary NeoplasmsMetastatic breast cancerModelingMolecularMutationNeoplasm MetastasisNewly DiagnosedOrganoidsPatientsPerceptionPerformancePharmaceutical PreparationsPhysiciansPreclinical Drug EvaluationProgression-Free SurvivalsProteinsQuality of lifeRecommendationRecurrenceResearchResourcesSelection for TreatmentsSeminalSeriesSiteTestingTherapeuticTimeWomanactionable mutationbaseclinical efficacyclinical investigationclinical practiceclinical predictorsclinically relevantcombinatorialdesigneffective therapyexhaustfeasibility trialgenomic profileshigh riskhormone receptor-positivehuman diseaseimprovedinhibitor therapyinsightmalignant breast neoplasmmutantpatient derived xenograft modelpatient populationpersonalized medicineprecision genomic medicineprecision medicineprecision oncologypreclinical evaluationpressurerelapse predictionresistance mechanismresponsetherapy resistanttooltreatment responsetumor
中文摘要
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英文摘要
Title: A feasibility trial of functional precision cancer medicine to inform treatment selection in
metastatic breast cancer.
In metastatic breast cancer, with the notable exception of the HER2 paradigm, the promise of the genomic
“precision medicine” in which mutant driver genes in a patient’s tumor are identified and the encoded proteins
are targeted with therapeutic inhibitors, has not been fully realized. Mutations alone, particularly those
identified in gene panels, are insufficiently informative to guide treatment selection. Tumors, especially
metastases, grow in complex ecosystems and exhibit striking heterogeneity and plasticity that allow them to
evolve dynamically under a series of pressures.
To overcome this limitation, we have now established a Functional Precision Oncology (FPO) platform,
whereby patient derived xenografts (PDX) and organoids (PDO) are established from tumors obtained from
patients with breast cancer. These models retain faithfully the complex molecular and biologic characteristics
of the originating tumors and, to that end, can predict clinical responses more reliably. Organoids are
amenable to medium-throughput drug screening and drug “hits” have been validated in PDXs, which currently
constitute the gold standard for preclinical drug evaluation. We integrate drug profiling results with genomic
studies to gain insights into determinants of treatment response or resistance and create genotype – drug
response correlations. We leverage this platform in the context of an ongoing clinical trial in early-stage breast
cancer, not only to generate patient-derived models, but also identify patients at high risk of metastatic
recurrence.
In the trial proposed herein (FORESEE: Functional precision oncology for metastatic breast cancer: a
feasibility trial, NCT04450706), we aim to systematically analyze the performance of this platform and gain
insights on the clinical activity of the proposed treatments in metastatic breast cancer. We establish PDOs
directly from biopsies of metastatic sites and perform PDO-based drug screens in women with metastatic
breast cancer, either newly diagnosed triple negative or hormone receptor-positive and Her2-negative who
have exhausted endocrine mono- and combinatorial therapies. With Aim 1, we will assess how often our PDO-
focused FPO pipeline leads to a treatment recommendation within 12 weeks. With Aim 2, we will assess how
often our FPO pipeline and concurrent commercial (gold standard) testing lead to treatment recommendations
and how often these recommendations overlap. The clinical efficacy of treatment selection informed by our
FPO assays will be captured (Aim 3). Collectively, these studies will investigate whether our PDO-based FPO
pipeline can be meaningfully incorporated in an investigational clinical practice and provide preliminary insights
of impact that can inform the design of a larger study.
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A feasibility trial of functional precision cancer medicine to inform treatment selection in metastatic breast cancer
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批准号:10584575
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项目类别:
-
资助金额:$21.15万
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财政年份:2022
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负责人:Christos Vaklavas
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依托单位:
海外基金