Elucidating Critical Dependencies Underlying Therapeutic Evasion in Philadelphia Chromosome-like Acute Lymphoblastic Leukemia
阐明费城染色体样急性淋巴细胞白血病治疗逃避背后的关键依赖性
基本信息
- 批准号:10507298
- 负责人:
- 金额:$ 18.45万
- 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
- 起止时间:2022-09-08 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:ATAC-seqAcute Lymphocytic LeukemiaAcute leukemiaAdolescentAdult Acute Lymphocytic LeukemiaAdvisory CommitteesApoptosisApoptoticAutomobile DrivingBCL2 geneBig DataBioinformaticsBiologicalBiologyCancer EtiologyCell CycleCell Cycle ArrestCell LineCell ProliferationCellsCellular biologyCessation of lifeChIP-seqChemoresistanceChildChildhoodChronicClinicalClinical TrialsClinical Trials DesignCombined Modality TherapyComplexComputational BiologyDNA sequencingDasatinibDataData SetDependenceDiagnosisDrug TargetingEnvironmentEpigenetic ProcessEvolutionFutureGene Expression ProfileGenesGeneticGenetic TranscriptionGenomicsGoalsGrowthHarvestHeterogeneityHumanIn VitroInternationalK-Series Research Career ProgramsKnock-outLeadMalignant Childhood NeoplasmMalignant NeoplasmsMediatingMentorsMentorshipMethodologyModelingMutationOncogenicOutcomePathway interactionsPatientsPharmacologyPharmacotherapyPhenotypePhiladelphia ChromosomePhosphotransferasesPopulationRecurrenceRegulator GenesRelapseResearchResearch PersonnelResearch TrainingResistanceResourcesRoleScientistSignal TransductionSystemSystems BiologyTechniquesTherapeuticTimeTrainingTranscriptional RegulationTranslatingTyrosine Kinase InhibitorValidationYangacute lymphoblastic leukemia cellbasec-myc Genescareerchildhood cancer mortalityclinical translationclinically relevantdesignearly phase clinical trialexperienceexperimental studygene regulatory networkgenetic signaturehigh riskimprovedin vivoin vivo Modelinhibitorinhibitor therapyinsightknock-downleukemiamolecular targeted therapiesmultidisciplinarymultiple omicsnon-geneticoncogene addictionoverexpressionpatient derived xenograft modelpre-clinicalprecision medicineprecision medicine clinical trialsresistance mechanismrisky drivingsingle cell analysisskillssynergismtargeted agenttargeted treatmenttherapy resistanttranscription factortranscription regulatory networktranscriptometranscriptome sequencingtranscriptomicstranslational physiciantranslational scientisttreatment response
项目摘要
PROJECT SUMMARY/ABSTRACT
This mentored career development award proposal will facilitate my career goal to become an
independent translational researcher using advances in experimental genomics and bioinformatics to develop
improved precision medicine therapies for children with difficult-to-cure cancers. During the 5-year training period
I plan to acquire critical skills in computational biology and pursue additional didactic training in transcriptional
regulation, death pathways, single cell analyses, and early-phase clinical trial design. The proposed studies and
training will be completed under the co-mentorship of Dr. Kai Tan and Dr. Sarah Tasian, both internationally
recognized leaders with complementary expertise in systems and single cell biology and in translational leukemia
research, respectively. My multi-disciplinary Advisory Committee is composed of world-renowned scientists who
have extensive mentoring experience and diverse expertise, including Drs. Chi Dang, Nancy Speck, John Maris,
and Xiaolu Yang. The scientific proposal is aimed at elucidating critical dependencies that synergize with kinase
pathway oncogene addiction in Philadelphia chromosome-like (Ph-like) acute lymphoblastic leukemia (ALL), a
kinase-driven leukemia with dismal outcomes. Ph-like ALL comprises 15-40% of childhood and adult ALL cases
and is associated with extremely high relapse rates and very poor overall survival. We observed in preclinical
Ph-like ALL models that treatment with the JAK inhibitor ruxolitinib has incomplete efficacy and also resulted in
global gene expression changes. Thus, combination therapy approaches that effectively target key therapeutic
escape mechanisms are needed. Additionally, single-cell variability in Ph-like ALL that may drive targeted
therapy resistance is unknown. I hypothesize that ruxolitinib treatment in JAK/STAT pathway-altered Ph-like ALL
cells leads to rewiring of the gene regulatory network at transcriptional and epigenetic levels (likely mediated by
c-MYC), resulting in cell cycle arrest and apoptotic priming amenable to co-targeting. I propose in Aim 1 to model
patient leukemia reponse to kinase inhibition in vivo and to identify transcriptional regulatory network changes
during chronic ruxolitinib treatment with subsequent functional validation. This represents an unbiased approach
to identifying unknown oncogenic dependencies. In Aim 2, I will use single-cell techniques to examine genetic
and non-genetic sub-populational changes during targeted drug perturbation over time, then to characterize and
target resistant cell states. These studies will form the basis for developing rational combinations of molecularly
targeted therapies to improve cure rates for patients with Ph-like ALL. In summary, I will benefit from the
exceptional interdisciplinary expertise and track-record of my mentors and Advisory Committee, as well as the
rich intellectual environment and scientific resources available at CHOP and Penn, which provide an ideal setting
in which to conduct cutting-edge omics analyses for eventual clinical translation. These research and training
efforts will help me realize my ultimate goal to translate “big data” into clinically relevant cures for children with
cancer.
项目摘要/摘要
这项修订的职业发展奖提案将有助于我的职业目标成为
独立翻译研究人员使用实验基因组学和生物信息学方面的进步来发展
改善了难以治愈癌症儿童的精确药物疗法。在5年的培训期间
我计划获得计算生物学的关键技能,并在转录中接受其他教学培训
调节,死亡途径,单细胞分析和早期临床试验设计。拟议的研究和
培训将在凯·坦博士和莎拉·塔西安博士的合法下完成
公认的领导者具有完善的系统和单细胞生物学以及翻译白血病的领导者
研究分别。我的多学科咨询委员会由世界知名的科学家组成
拥有丰富的心理经验和包括Drs在内的潜水专业知识。 Chi Dang,Nancy Speck,John Maris,
和小杨。该科学建议旨在阐明与激酶协同作用的关键依赖性
费城染色体样(pH)急性淋巴细胞白血病(ALL)的途径癌基因成瘾
激酶驱动的白血病患有令人沮丧的结果。所有pH值都占童年和成人的15-40%
并与极高的继电器率和总体生存率非常差有关。我们在临床前观察到
类似于用JAK抑制剂鲁辛尼治疗的所有模型的效率不完整,也导致
全球基因表达变化。这是有效靶向关键疗法的组合疗法。
需要逃生机制。此外,类似于pH的单细胞变异性可能会驱动针对目标
治疗抗性尚不清楚。我假设在jak/stat途径改变的pH样本中,ruxolitinib治疗全部
细胞导致基因调节网络在转录和表观遗传水平上的重新布线(可能是由
c-myc),导致细胞周期停滞和凋亡的启动,可与靶向。我在AIM 1中建议建模
患者白血病对体内激酶抑制的反应并确定转录调节网络变化
在慢性鲁唑替尼治疗期间,随后的功能验证。这代表了一种公正的方法
确定未知的致癌依赖性。在AIM 2中,我将使用单细胞技术检查遗传
随着时间的推移,靶向药物扰动期间的非遗传亚孔子变化,然后表征和表征
靶标细胞状态。这些研究将构成开发分子合理组合的基础
针对类似pH的患者的靶向疗法可提高治疗率。总而言之,我将从
我的导师和咨询委员会的卓越跨学科专业知识和田径记录以及
Chop and Penn提供丰富的智力环境和科学资源,可提供理想的环境
在其中进行最终临床翻译的最先进的OMICS分析。这些研究和培训
努力将帮助我实现我的最终目标,将“大数据”转化为临床相关的治疗方法
癌症。
项目成果
期刊论文数量(0)
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