The Evolution of Sarcoma Drug Sensitivity through Time and Space
The Evolution of Sarcoma Drug Sensitivity through Time and Space
批准号:
10646502
负责人:
Paul Christopher Boutros
金额:
$48.7万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-07-01 至 2025-06-30
关键词:
Adjuvant ChemotherapyAffectArchitectureBehaviorBiological ModelsBiopsyBone neoplasmsCell LineCessation of lifeChildClinicalClinical TrialsConnective TissueCytotoxic ChemotherapyDataDiagnosisDiseaseDrug ScreeningDrug resistanceEvolutionGenomicsHistologicLinkLungLung noduleMalignant NeoplasmsMetastatic Neoplasm to the LungModelingMolecularMutationNeoadjuvant TherapyNeoplasm MetastasisNewly DiagnosedOperative Surgical ProceduresOrganoidsOutcomePatientsPediatric NeoplasmPersonsPharmaceutical PreparationsPopulationPortraitsPrimary NeoplasmResistanceSamplingSpecimenStructureSurvival RateSystemTechniquesTechnologyTestingTherapeuticTimeTissue SampleTreatment FailureTumor Subtypeaggressive therapybonecancer diagnosischemotherapydriver mutationdrug sensitivityexomegenome sequencingimprovedmodel developmentosteosarcomapharmacologicpressurerare cancerreconstructionresponsesarcomascreeningsoft tissuetargeted treatmenttherapeutic developmenttherapy resistanttreatment responsetumorwhole genome
中文摘要
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英文摘要
PROJECT SUMMARY
Approximately 16,000 people are diagnosed with sarcoma each year in the US. Sarcomas are the third most
common cancer affecting children constituting about 15% of all diagnosed childhood tumors. Bone tumors are
the rarest of all, with less than 3,500 cases a year or 0.2% of all cancers. Despite aggressive treatment, overall
5-year survival rates are ~60% and around 30% for metastatic disease.
There is limited data on bone sarcoma drug sensitivity beyond first line chemotherapy. In parallel, there are major
gaps in our understanding of sarcomas molecular hallmarks and drivers, with limited sequencing data available
beyond the exome. Critically, very few sarcomas have had whole-genome sequencing, longitudinal profiling or
multi-region sequencing to understand their spatio- and temporal-genomic variability. This variability is thought
to be critical to understanding treatment response and failure, and there remains an urgent need to relate these
molecular features to quantitative aspects of drug sensitivity in most tumor types.
We have established a pipeline to develop personalized bone sarcoma organoids to screen hundreds of drugs
and determine a drug resistance and sensitivity profile for each tumor. We pair this with whole-genome
sequencing to identify mutational correlates of drug sensitivity. Here we will take advantage of this pipeline to
study how the molecular and pharmacologic behavior of bone sarcomas differs spatially within a single patient
(Aim 1) and how they vary during their transition from curable primary to lethal metastatic disease (Aim 2). This
study will allow us to define how bone sarcoma metastases diverge and respond to therapy and identify
actionable drug sensitivities as well as create a detailed portrait of how bone sarcomas evolve under therapeutic
selective pressure, linked to clinical outcomes.
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海外基金