Evolution and Treatment Response of Brain, Breast, and Hematologic Malignancies
脑、乳腺和血液恶性肿瘤的演变和治疗反应
基本信息
- 批准号:9070719
- 负责人:
- 金额:$ 223.79万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-05-19 至 2020-04-30
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAdvocateAnimal ModelBig DataBiologicalBiologyBiomedical ResearchBrainBreastCancer BiologyCancer ControlCellsClinicalClinical TrialsCommunitiesComplementDana-Farber Cancer InstituteDataDetectionDevelopmentDiagnosisDisadvantagedDisciplineDiseaseEducation and OutreachEpigenetic ProcessEvolutionFoundationsFred Hutchinson Cancer Research CenterFundingGeneral HospitalsGeneral PopulationGenomicsGoalsGrantHematologic NeoplasmsHumanIn VitroIndividualInterventionLeadershipLengthMalignant NeoplasmsMalignant neoplasm of brainMalignant neoplasm of lungMassachusettsMathematicsMeasurementMethodologyModalityModelingMouse Cell LineMusMutationNeoplasm MetastasisOncologistPatient CarePatientsPhasePhysicsPopulationRadioresistanceResearchResearch InfrastructureResearch PersonnelResearch TrainingResistanceResourcesRunningSamplingScheduleScienceScientistStudentsStudy modelsTestingThe Cancer Genome AtlasTherapeutic InterventionTimeTraining ProgramsTumor BiologyUniversitiesWorkanticancer researchbasebreast malignanciescancer genomecancer preventioncell behaviordesignfitnessimprovedin vivointerdisciplinary approachmathematical modelmembermouse modelneoplastic cellnoveloncologyoutcome forecastoutreach programphysical sciencepublic health relevanceresponsestandard of carestemsuccesstheoriestherapy developmenttreatment responsetumortumorigenesis
项目摘要
DESCRIPTION (provided by applicant): The Dana-Farber Cancer Institute-Physical Sciences-Oncology Center (DFCI-PSOC) will promote the understanding of cancer evolution and treatment responses utilizing approaches from the physical and experimental sciences. The PSOC will assemble and develop a trans- disciplinary team, research and training programs, and infrastructure organized around our physical sciences-based framework to address a fundamental question in cancer research: how can we utilize a quantitative, physical sciences-based understanding of the spatio-temporal aspects tumor evolution and treatment response to improve patient care? Our trans-disciplinary center will develop and test, individually and through collaborative trans-network activities, physical sciences-based experimental and theoretical concepts that complement and advance our current understanding of cancer biology and oncology. Specifically, the DFCI-PSOC aims to (i) Assemble and develop an integrated trans-disciplinary research team that will work closely together to develop and validate mathematical modeling strategies of cancer evolution and treatment response, and utilize these strategies to identify best therapeutic intervention schedules for hematologic, brain and breast malignancies, with the ultimate goal of improving patient care. (ii) Develop and test, individually
and through collaborative network activities, strategies for physical sciences-based measurements of single cell behavior of both animal model and human cancer samples, and utilize these measurements to inform mathematical modeling strategies of treatment response in hematologic, brain and breast malignancies. (iii) Integrate physical sciences perspectives into cancer research to complement and expand on our current understanding of cancer across many length-scales and time-scales, with the ultimate goal of improving cancer prevention, detection, diagnosis, prognosis, and therapy. (iv) Disseminate our findings, approaches and methodologies to the PSOC network and the wider scientific community as well as implement education and outreach programs to interact with patients, students, researchers, advocates, and the general public. Together, the approaches and methodologies developed within the DFCI-PSOC will enable us to further our understanding of the physical principles underlying cancer evolution and treatment response with the ultimate goal of designing optimum intervention strategies for hematologic, brain and breast malignancies.
描述(由应用提供):Dana-Farber癌症研究所 - 物理科学 - 学中心(DFCI-PSOC)将促进利用物理和实验科学方法的方法来理解癌症进化和治疗反应。 PSOC将组装和发展一个跨学科团队,研究和培训计划以及围绕我们基于物理科学的框架组织的基础设施,以解决癌症研究中的基本问题:我们如何利用基于定量的,物理科学的理解对空间 - 周期性的理解肿瘤进化和治疗治疗对患者护理的反应?我们的跨学科中心将单独开发和测试通过协作的跨网络活动,基于物理科学的实验和理论概念,这些概念补充和促进了我们当前对癌症生物学和肿瘤学的理解。具体而言,DFCI-PSOC旨在(i)组装和开发一个综合的跨学科研究团队,该团队将密切合作,以开发和验证癌症进化和治疗反应的数学建模策略,并利用这些策略来确定最佳治疗性干预时间表,以改善血液学,大脑和乳房恶性,并改善最终患者的患者。 (ii)开发和测试,单独
以及通过协作网络活动,基于物理科学的策略测量动物模型和人类癌症样品的单细胞行为,并利用这些测量来为血液学,大脑和乳房恶性肿瘤中治疗反应的数学建模策略提供信息。 (iii)将物理科学的观点整合到癌症研究中,以完成和扩展我们目前对许多长度尺度和时间范围的癌症的理解,并最终目的是改善预防癌症,检测,诊断,诊断,进展和治疗。 (iv)将我们的发现,方法和方法传播到PSOC网络和广泛的科学界,以及实施教育和外展计划,以与患者,学生,研究人员,倡导者和公众互动。 DFCI-PSOC中开发的方法和方法共同使我们能够进一步了解对基本物理原理的理解。癌症的演变和治疗反应,其最终目标是设计血液学,脑和乳房恶性肿瘤的最佳干预策略。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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ERIC C. HOLLAND其他文献
ERIC C. HOLLAND的其他文献
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{{ truncateString('ERIC C. HOLLAND', 18)}}的其他基金
The role and mechanism of alternative RNA splice variants and gene fusions as drivers of cancer
替代RNA剪接变体和基因融合作为癌症驱动因素的作用和机制
- 批准号:
10689283 - 财政年份:2021
- 资助金额:
$ 223.79万 - 项目类别:
The role and mechanism of alternative RNA splice variants and gene fusions as drivers of cancer
替代RNA剪接变体和基因融合作为癌症驱动因素的作用和机制
- 批准号:
10294170 - 财政年份:2021
- 资助金额:
$ 223.79万 - 项目类别:
The role and mechanism of alternative RNA splice variants and gene fusions as drivers of cancer
替代RNA剪接变体和基因融合作为癌症驱动因素的作用和机制
- 批准号:
10644172 - 财政年份:2021
- 资助金额:
$ 223.79万 - 项目类别:
Biology and therapy of C11orf95-RELA fusion-driven ependymoma
C11orf95-RELA 融合驱动的室管膜瘤的生物学和治疗
- 批准号:
10394666 - 财政年份:2021
- 资助金额:
$ 223.79万 - 项目类别:
The role and mechanism of alternative RNA splice variants and gene fusions as drivers of cancer
替代RNA剪接变体和基因融合作为癌症驱动因素的作用和机制
- 批准号:
10649768 - 财政年份:2021
- 资助金额:
$ 223.79万 - 项目类别:
The role and mechanism of alternative RNA splice variants and gene fusions as drivers of cancer
替代RNA剪接变体和基因融合作为癌症驱动因素的作用和机制
- 批准号:
10601398 - 财政年份:2021
- 资助金额:
$ 223.79万 - 项目类别:
Biology and therapy of C11orf95-RELA fusion-driven ependymoma
C11orf95-RELA 融合驱动的室管膜瘤的生物学和治疗
- 批准号:
10646671 - 财政年份:2019
- 资助金额:
$ 223.79万 - 项目类别:
Biology and therapy of C11orf95-RELA fusion-driven ependymoma
C11orf95-RELA 融合驱动的室管膜瘤的生物学和治疗
- 批准号:
10603048 - 财政年份:2019
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$ 223.79万 - 项目类别:
Precision disease prevention via somatic mutagenesis enumeration (PREDICTION)
通过体细胞突变计数进行精准疾病预防(PREDICTION)
- 批准号:
10645450 - 财政年份:2018
- 资助金额:
$ 223.79万 - 项目类别:
Precision disease prevention via somatic mutagenesis enumeration (PREDICTION)
通过体细胞突变计数进行精准疾病预防(PREDICTION)
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10436912 - 财政年份:2018
- 资助金额:
$ 223.79万 - 项目类别:
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