Center for pediatric tumor cell atlas
儿科肿瘤细胞图谱中心
基本信息
- 批准号:10016222
- 负责人:
- 金额:$ 226.13万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-30 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdultAlgorithmsAtlasesB-Cell Acute Lymphoblastic LeukemiaBasic ScienceBiological AssayBiomedical ResearchBlood VesselsBlood specimenCAR T cell therapyCaliforniaCancer CenterCancer PatientCell NucleusCell physiologyCellsCellular StructuresCessation of lifeCharacteristicsChildhoodChromatinClinicalClinical ResearchClonal EvolutionCollaborationsCommunitiesComputer softwareComputing MethodologiesCytometryDataDatabasesDevelopmentDiagnosisDiseaseDisease ResistanceEcosystemEmerging TechnologiesEpigenetic ProcessEtiologyEvaluationEvolutionFluorescent in Situ HybridizationFollow-Up StudiesFreezingGeneticGliomaGrantGrowthHeterogeneityHumanHypersensitivityImageImmuneImmune systemIn SituInfrastructureKnowledgeMalignant - descriptorMalignant Childhood NeoplasmMalignant NeoplasmsMapsMediatingMedicalMethodsModalityMolecularMutagenesisMutationNeoplasm MetastasisNeuroblastomaNon-MalignantOutcomePathologicPathway interactionsPatientsPatternPediatric HospitalsPediatric NeoplasmPediatric OncologyPediatricsPennsylvaniaPharmacotherapyPhenotypePhiladelphiaPhylogenetic AnalysisPhylogenyPopulationProteinsPublic HealthRNARefractory DiseaseResearchResearch PersonnelResistanceResolutionSiteSmall Nuclear RNASourceSpatial DistributionSpecimenStandardizationTechnologyTherapeuticTissuesTranslational ResearchTreesUniversitiesVisualizationXenograft procedureage groupanticancer researchbasecancer imagingcancer therapycancer typecell typechemotherapychildhood cancer mortalitycomplex data computational pipelinescomputerized toolsdata sharinggenome sequencinghigh riskimprovedinsightmolecular targeted therapiesmultiple omicsneoplastic cellnew therapeutic targetopen sourceoutcome forecastprecision oncologypredictive markerpressureresponsesingle cell analysissingle moleculestemtranscriptome sequencingtumortumor heterogeneitytumor initiationtumor microenvironmentuser-friendlywhole genome
项目摘要
PROJECT SUMMARY - OVERALL
Childhood Cancer is the second most common causes of childhood deaths. Cancers in children are highly
distinct from those in adults. Causes, mechanisms and therapeutic approaches cannot be extrapolated from
the study of adult malignancies. To impact the burden of pediatric cancers requires the specific study of
pediatric cancers. We therefore propose the in depth characterization of three specific subtypes of pediatric
malignancies which, together, account for over 50% of all pediatric cancer deaths: high grade glioma (pHGG),
high risk neuroblastoma (NB), and very high risk acute lymphoblastic B-cell precursor leukemia (VHR-ALL). All
three tumor types share a characteristic of typically initial response to therapy, followed by the emergence of
resistance and refractory disease. We will map molecular and cellular changes in tumor cells,
microenvironment and the immune system using comprehensive multi-dimensional single-cell and in situ
technologies associated with two critical transitions: initial response, and emergence of resistant disease –
both high-priority transitions. Treatment modalities will include standard chemotherapy, molecular targeted
therapies and chimeric antigen receptor (CAR-) T cell therapy, capturing the cutting edge of current cancer
therapy. The final product will impact global childhood cancer research in the following manner: 1) Tumor
Atlases: atlases will provide a highly user friendly, publicly available, searchable database of the most
comprehensive multi-omic, single cell analysis of the three most lethal childhood cancers. Molecular data will
be richly annotated with access to additional pathological evaluation, clinical and outcomes data, and grant
access to source data such tumor imaging. 2) Computational methods: in addition to the data, the critical
computational tools and pipelines used in this project will be available to the research community. These
include methods and pipelines for processing multi-omics and in situ data, inference of cancer phylogeny,
inference of cell- and clone-specific pathways, methods for inferring cell-cell crosstalk, as well as database
algorithms for the query, exploration and visualization of highly complex data. 3) Access to biospecimens for
follow up studies: biospecimens collected in this project will be banked and made available to the biomedical
research community. These include tissue sections, viably frozen specimen, and patient derived xenograft
(PDX models). In summary, the proposed project will seek to address a major public health need in pediatrics,
broadly impact the entire research community, and jumpstart target discovery based on a sophisticated
understanding of the key molecular circuits that drive pediatric cancer.
项目摘要 - 总体
儿童癌症是儿童死亡的第二大最常见原因。儿童中的癌症很高
与成年人不同。原因,机制和治疗方法无法推断
成人恶性肿瘤的研究。为了影响小儿癌的伯宁,需要对
小儿取消。因此,我们提出了三种特定亚型小儿类型的深度表征
恶性肿瘤共同占所有儿科癌症死亡的50%以上:高级神经胶质瘤(PHGG),
高风险神经母细胞瘤(NB)和非常高风险的急性淋巴细胞B细胞前体白血病(VHR-ALL)。全部
三种肿瘤类型具有通常对治疗的初始反应的特征,随后出现
抵抗和难治性疾病。我们将绘制肿瘤细胞中的分子和细胞变化,
使用综合多维单细胞和原位的微环境和免疫系统
与两个关键转变相关的技术:初始反应和抗性疾病的出现 -
两个高优先级过渡。治疗方式将包括标准化疗,分子靶向
疗法和嵌合抗原受体(CAR-)T细胞疗法,捕获当前癌症的尖端
治疗。最终产品将以以下方式影响全球儿童癌症研究:1)肿瘤
ATLASE:ATLASE将提供一个高度用户友好,公开,可搜索的数据库
三种最致命的儿童期癌症的全面多摩变,单细胞分析。分子数据将
通过访问其他病理评估,临床和结果数据进行丰富的注释,并授予
访问源数据此类肿瘤成像。 2)计算方法:除了数据外,关键
该项目中使用的计算工具和管道将用于研究社区。这些
包括用于处理多词和原位数据的方法和管道,推断癌症系统发育,
细胞和克隆特异性途径的推断,推断细胞细胞串扰的方法以及数据库
高度复杂数据的查询,探索和可视化算法。 3)访问生物测量
后续研究:该项目中收集的生物测量将被存放并提供给生物医学
研究社区。这些包括组织切片,有能力冷冻的样品和患者衍生的异种移植物
(PDX型号)。总而言之,拟议的项目将寻求解决儿科的主要公共卫生需求,
广泛影响整个研究社区,并基于复杂
了解驱动小儿癌的关键分子回路。
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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STEPHEN Patrick HUNGER其他文献
STEPHEN Patrick HUNGER的其他文献
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{{ truncateString('STEPHEN Patrick HUNGER', 18)}}的其他基金
Center for Pediatric Tumor Cell Atlas - Admin Supplement
儿科肿瘤细胞图谱中心 - 管理补充
- 批准号:
10819945 - 财政年份:2023
- 资助金额:
$ 226.13万 - 项目类别:
MOLECULAR SIGNATURES FOR OUTCOME PREDICTION AND THERAPEUTIC TARGETING IN ALL
用于所有疾病的结果预测和治疗靶向的分子特征
- 批准号:
8306104 - 财政年份:2011
- 资助金额:
$ 226.13万 - 项目类别:
MOLECULAR SIGNATURES FOR OUTCOME PREDICTION AND THERAPEUTIC TARGETING IN ALL
用于所有疾病的结果预测和治疗靶向的分子特征
- 批准号:
8094832 - 财政年份:2011
- 资助金额:
$ 226.13万 - 项目类别:
MOLECULAR SIGNATURES FOR OUTCOME PREDICTION AND THERAPEUTIC TARGETING IN ALL
用于所有疾病的结果预测和治疗靶向的分子特征
- 批准号:
8717406 - 财政年份:2011
- 资助金额:
$ 226.13万 - 项目类别:
MOLECULAR SIGNATURES FOR OUTCOME PREDICTION AND THERAPEUTIC TARGETING IN ALL
用于所有疾病的结果预测和治疗靶向的分子特征
- 批准号:
8911784 - 财政年份:2011
- 资助金额:
$ 226.13万 - 项目类别:
MOLECULAR SIGNATURES FOR OUTCOME PREDICTION AND THERAPEUTIC TARGETING IN ALL
用于所有疾病的结果预测和治疗靶向的分子特征
- 批准号:
8513801 - 财政年份:2011
- 资助金额:
$ 226.13万 - 项目类别:
Identifying the spectrum of genetic alterations in high risk ALL
识别高危 ALL 的基因改变谱
- 批准号:
8046631 - 财政年份:2010
- 资助金额:
$ 226.13万 - 项目类别:
PHASE I STUDY OF ERBITUX (CETUXIMAB) IN PED SUBJ WITH SOLID TUMORS CA225-085
爱必妥(西妥昔单抗)在患有实体瘤 CA225-085 的 PED 受试者中的 I 期研究
- 批准号:
7605502 - 财政年份:2006
- 资助金额:
$ 226.13万 - 项目类别:
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