Tumor microenvironments determing migration, dissemination and dormancy
Tumor microenvironments determing migration, dissemination and dormancy
批准号:
8538903
负责人:
Julio A. Aguirre-Ghiso
金额:
$90.85万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-19 至 2016-07-30
关键词:
AffectBone Marrow NeoplasmsBreastCarcinomaCell SurvivalCellsClinicalCollagenCollectionDataDevelopmentDistantEnvironmentEpigenetic ProcessEventEvolutionExhibitsExtracellular MatrixGene ExpressionGenerationsGenesGeneticGenomicsGrantGrowthHead and Neck Squamous Cell CarcinomaHead and neck structureHistologyHumanHypoxiaImageInflammationInstructionLifeLocationMammary NeoplasmsMammary glandMapsMetabolicMethodsModelingMolecularMolecular ProfilingMusMutationNADHNatural SelectionsNeoplasm MetastasisOrganPatientsPatternPhenotypePlasticsPrimary NeoplasmProcessProliferatingProteinsRegulationReporterResearchResolutionSamplingSecondary toSignal TransductionSiteSpecimenSquamous cell carcinomaStagingStressTestingTimeTissuesangiogenesisbasecell behaviordensityepigenomicsextracellularfluorophorein vivointravital imagingmetabolomicsmigrationmouse modelmultidisciplinarynamed groupnanodeviceneoplastic cellnew technologytumortumor microenvironmenttumor progression
中文摘要
描述(申请人提供):对转移的传统观点是,它是类似达尔文进化论的过程的结果,涉及能够在治疗期间和在远距离部位迁移和存活的肿瘤细胞的自然选择。在这个模型中,选择的肿瘤细胞表现出稳定的遗传变化,所选的细胞非常罕见,在肿瘤进展的后期引起局部转移。最近新技术的发展,包括基于高密度微阵列的表达谱、多光子活体成像以及从活体肿瘤中收集和鉴定移行肿瘤细胞和患者骨髓播散的肿瘤细胞(DTC),挑战了这一传统的转移模型。新技术表明,转移能力是在比达尔文模型预测的更早的肿瘤进展阶段获得的,在原发肿瘤的大部分都被编码,它是高度可塑性的,涉及基因表达的瞬时变化。这些结果导致了转移的微环境模型。如果肿瘤在进展过程中选择了原发肿瘤中稳定的基因变化,从而为诱导支持侵袭和转移表型的基因表达的瞬时变化提供了必要的微环境,那么微环境和达尔文模型可以被协调。也就是说,肿瘤微环境启动了诱导肿瘤细胞迁移、存活和转移的基因的瞬时表观遗传表达。乳腺肿瘤中这种微环境的例子包括细胞外基质密度、炎症和缺氧。为了研究这些微环境及其对转移表型的影响,我们组建了一个多学科的团队,他们将利用他们的特殊专业知识合作:1.命运图肿瘤细胞以确定肿瘤细胞是否从不同的自发和纳米设备产生的可溶性因子衍生的微环境中迁移,在靶器官中具有不同的迁移、扩散、休眠和生长模式。2.确定这些微环境在体内单个细胞分辨率下在原发肿瘤和DTC中的时空范围和功能后果3.分离和表征特定肿瘤细胞群体的代谢组学、基因组学和表观基因组学,如播散部位的移行和休眠肿瘤细胞。4.研究细胞外基质依赖的移行/侵袭、潜伏和增殖的肿瘤细胞表型。5.将重点观察扩展到人类乳房和头颈部鳞状肿瘤。
英文摘要
DESCRIPTION (provided by applicant): A traditional view of metastasis is that it results from a process similar to Darwinian evolution involving the natural selection of tumor cells that are capable of migration and survival during treatment and at distant sites. In this model the selection of tumor cells exhibiting stable genetic changes occurs, the selected cells are very rare, local and cause metastasis late in tumor progression. The recent development of new technologies, including high-density microarray based expression profiling, multiphoton intravital imaging and the collection and characterization of migratory tumor cells from live tumors and bone marrow disseminated tumor cells (DTCs) from patients, have challenged this traditional model of metastasis. The new technologies indicate that metastatic ability is acquired at much earlier stages of tumor progression than predicted by the Darwinian model, is encoded throughout the bulk of the primary tumor, it is highly plastic and involves transient changes in gene expression. These results have led to the micro-environment model of metastasis. The micro-environment and Darwinian models can be reconciled if tumor progression resulting from the selection of stable genetic changes in the primary tumor during progression, contributes the micro-environments necessary to induce the transient changes in gene expression that support the invasive and metastatic phenotype. That is, the tumor micro-environment initiates the transient epigenetic expression of genes that induce tumor cell migration, survival and metastasis. Examples of such micro-environments in breast tumors are extracellular matrix density, inflammation, and hypoxia. To study these micro-environments and their effects on metastatic phenotype, we have assembled a multidisciplinary team who will collaborate using their special expertise to: 1. fate map tumor cells to determine if tumor cells migrating from different spontaneous, and nano-device generated soluble factor-derived micro-environments, have different migration, dissemination, dormancy and growth patterns in target organs. 2. Determine the spatial and temporal extent and functional consequences of these micro-environments at single cell resolution in vivo in primary tumors and in DTCs 3. Isolate and characterize the metabolomics, genomics and epigenomics of special populations of tumor cells such as the migratory and dormant tumor cells in disseminated locations. 4. Investigate ECM-dependent migratory/invasive, dormant and proliferative tumor cell phenotypes. 5. Extend key observations to human breast and head and neck squamous tumors.
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