Functional identification of CLL drug response and resistance
CLL药物反应和耐药性的功能鉴定
基本信息
- 批准号:10005159
- 负责人:
- 金额:$ 30.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2021-09-16
- 项目状态:已结题
- 来源:
- 关键词:AftercareApoptosisApoptoticBehaviorCell SurvivalCellsChemical EvolutionChemicalsClassificationClinicalCombination Drug TherapyCombined Modality TherapyData SetDependenceDiseaseDissectionDrug CombinationsDrug SensitizationEpigenetic ProcessEvolutionExposure toGeneticGenomeGenomicsGoalsHourInstitutesLaboratoriesLibrariesMeasurementMeasuresMethodsMiningMolecularOutcomePathway interactionsPatient-Focused OutcomesPatientsPharmaceutical PreparationsPhenotypeRelapseReportingResistanceSamplingSumTherapeuticTimeanti-PD-1basecancer cellchemotherapyclinically relevantcytotoxicitydesigndrug discoveryepigenomeepigenomicsfludarabineimprovedin vivoindividual patientleukemiamolecular markerneoplastic cellnovelnovel strategiesnovel therapeuticsphenomepreventprospectiverelapse patientsresponsescreeningsmall moleculetranscriptometranscriptomicstreatment strategytumor
项目摘要
Project Summary:
Despite impressive therapeutic advances in the treatment of CLL over the past decade, relapsed tumors that
are often resistant to known therapies remain a problem. Understanding resistance and developing new
treatment strategies will be necessary to turn CLL into a curable disease. With few notable exceptions,
responses to chemotherapy typically occur through apoptosis, a form of programmed cell death. Our goal is
to identify drugs that sensitize CLL cells to apoptosis, and to identify combinations of drugs that would
prevent relapse. While chemical screening of conventional cytotoxicity is an attractive strategy to meet this
goal, such an approach is impeded by the inability to reliably culture CLL cells for longer than 48 hours ex
vivo. This ultimately reflects a technological gap in our ability to chemically perturb CLL ex vivo, and
measure functional and clinically relevant phenotypes. Here, we will use a novel chemical screening
approach called dynamic BH3 profiling (DBP), which enables functional measurements of chemically
induced apoptotic changes, and requires only 6-24 hours of ex vivo culture, thereby maximizing
molecular fidelity and tumor cell viability. Using a panel of over 2000 drugs, not only will we identify
novel molecules that sensitize CLL cells for apoptosis, but we will also determine chemical apoptotic
sensitivities that are lost or gained on relapse for individual patients. Drugs that uniquely sensitize only
relapsed tumors present exciting opportunities for combination chemotherapy. Finally to understand
mechanisms of apoptotic vulnerabilities in pre- and post-treatment samples, we will correlate our
measurements of functional apoptotic responses with the large molecular datasets in Project 1 and 2 for at
least 104 CLL patients. In sum, the successful identification of apoptotic sensitizing drugs in CLL, will not
only advance our molecular understanding of CLL, but could result in truly novel therapeutic options.
项目摘要:
尽管在过去十年中CLL的治疗取得了令人印象深刻的治疗进展,
通常对已知疗法有抗性仍然是一个问题。了解耐药性并开发新的
将CLL转变为可治愈的疾病的治疗策略是必要的。除了少数几个明显的例外,
对化疗的反应通常通过细胞凋亡(一种程序性细胞死亡形式)发生。我们的目标是
以鉴定使CLL细胞对凋亡敏感的药物,并鉴定可以
防止复发。虽然常规细胞毒性的化学筛选是满足这一要求的有吸引力的策略,
为了达到这一目标,这种方法受到无法可靠地培养CLL细胞超过48小时的阻碍。
vivo.这最终反映了我们在离体化学干扰CLL的能力方面的技术差距,
测量功能和临床相关表型。在这里,我们将使用一种新的化学筛选方法,
一种称为动态BH 3分析(DBP)的方法,该方法能够对化学物质进行功能测量。
诱导凋亡变化,并且仅需要6-24小时的离体培养,从而最大化
分子保真度和肿瘤细胞活力。使用超过2000种药物,我们不仅可以识别
新的分子,敏感CLL细胞凋亡,但我们也将确定化学凋亡
对于个体患者,在复发时失去或获得的敏感性。只对特定的药物敏感
复发的肿瘤为联合化疗提供了令人兴奋的机会。终于明白了
在治疗前和治疗后样品中的凋亡脆弱性的机制,我们将我们的
用项目1和2中的大分子数据集测量功能性凋亡反应,
至少104例CLL患者。总之,在CLL中成功鉴定凋亡增敏药物,
这只能推进我们对CLL的分子理解,但可能导致真正新颖的治疗选择。
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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ANTHONY G LETAI其他文献
ANTHONY G LETAI的其他文献
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{{ truncateString('ANTHONY G LETAI', 18)}}的其他基金
Reading mitochondrial apoptotic signaling to identify active cancer therapeutics
读取线粒体凋亡信号以识别活性癌症疗法
- 批准号:
10669581 - 财政年份:2019
- 资助金额:
$ 30.54万 - 项目类别:
Reading mitochondrial apoptotic signaling to identify active cancer therapeutics
读取线粒体凋亡信号以识别活性癌症疗法
- 批准号:
10460228 - 财政年份:2019
- 资助金额:
$ 30.54万 - 项目类别:
Reading mitochondrial apoptotic signaling to identify active cancer therapeutics
读取线粒体凋亡信号以识别活性癌症疗法
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9816344 - 财政年份:2019
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$ 30.54万 - 项目类别:
Reading mitochondrial apoptotic signaling to identify active cancer therapeutics
读取线粒体凋亡信号以识别活性癌症疗法
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10197039 - 财政年份:2019
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里氏综合症药物反应和耐药性的功能鉴定
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Functional identification of drug response and resistance in Richter's Syndrome
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