Phenotype Heterogeneity and Dynamics in SCLC
Phenotype Heterogeneity and Dynamics in SCLC
批准号:
9901484
负责人:
Vito Quaranta
金额:
$173.3万
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
项目状态:
已结题
起止时间:
2018-04-13 至 2023-03-31
关键词:
AddressAftercareAutomobile DrivingBiological ModelsCD44 geneCancer BiologyCancer cell lineCell CommunicationCell ShapeCell modelCellsCellular MorphologyCellular biologyCollaborationsCommunicationComplexCytometryDNA Sequence AlterationDataData AnalysesEcosystemEducational workshopEpigenetic ProcessExhibitsExperimental ModelsGenesGeneticGenetically Engineered MouseGenotypeGoalsHealthHeterogeneityHumanHuman EngineeringInformation SystemsKnowledgeLeadershipLogicMalignant NeoplasmsMeasurementMeasuresMediatingMethodsMissionModelingMolecularMorphologic artifactsMutationOncologyOutcomePathologicPatientsPharmaceutical PreparationsPharmacotherapyPhenotypePhysiologicalPopulation DynamicsPredispositionProcessProductionPropertyProtein p53PublicationsRecurrenceRelapseResearch PersonnelResource SharingRoleSideSiteSourceSystemSystems BiologyTechnologyTestingThinkingTissuesTreatment FailureUniversitiesVariantbasecancer cellcancer heterogeneitycancer therapycancer typecell behaviorchemoradiationcomputerized toolsdata exchangedesigndrug sensitivityeffective therapyexosomeexperimental studyhigh dimensionalityimprovedinnovationlung small cell carcinomamathematical modelmeetingsmouse modelmultidimensional dataneoplastic cellnon-geneticnovelonline courseoutreachoutreach programprogramsresistance mutationresponsesingle cell analysissingle cell technologysingle-cell RNA sequencingsuccesssymposiumtherapy resistanttooltranscriptomicstreatment strategytumortumor heterogeneityvirtualweb site
中文摘要
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英文摘要
Heterogeneity is a pervasive feature of cancer, central to progression and therapy failure. Both genetic and
nongenetic factors, cell-cell and cell-microenvironment interactions contribute to tumor cell phenotypic variation.
Thus, heterogeneity is a complex multiscale problem difficult to study by reductionist approaches but well
suited to systems thinking. A mechanistic, system-level understanding of heterogeneity would spawn
fundamental advances in cancer treatment strategies. Major challenges include definition of relevant tumor cell
phenotypes, phenotype dynamics emergence from single-cell behavior and interactions, and effective targeting
strategies. In our Center, we will use systems biology approaches to tackle these challenges, focusing on
small cell lung cancer (SCLC), in which the impact of intratumor heterogeneity is particularly compelling. Thus,
SCLC tumors, while histo-pathologically homogeneous with classic “small blue round cell” morphology, are
comprised of phenotypic subpopulations (e.g., tumor-propagating cells; Hes1+ cells; CD44+ cells) that
cooperate to form a tumor ecosystem adaptive to drug treatment. In SCLC genetically engineered mouse
models (GEMMs) and patient tumors, accumulated genetic alterations (e.g., MYC amplification, NOTCH
mutations) may bias phenotypic compositions and consequent drug sensitivity, underscoring the combined role
of genetic and nongenetic sources. The overall goal of our proposed Center is a system-level understanding of
the impact of SCLC phenotype heterogeneity in drug evasion, that will open avenues to novel treatment
strategies. In two highly integrated Projects, we will combine experimentation with mathematical modeling to
generate a comprehensive blueprint of SCLC phenotypic space and identify complex phenotype dynamics
underlying treatment resistance. Project 1 will use high-dimensional cytometry and transcriptomics data to
define human and GEMM core SCLC phenotypes, their susceptibility to genomic alteration bias, and their drug
response plasticity. Project 2 will study SCLC phenotype dynamics initiated by cell-cell and secreted factors or
exosomes in SCLC tumor ecosystems, using models of cell population dynamics driving tumor aggressiveness.
Projects will be supported by a Single-Cell Biology and Data Analysis Shared Resource equipped with a vast
palette of state-of-the-art single-cell technologies, including mass cytometry, scRNA-Seq and multidimensional
data analysis. The Center will be located at Vanderbilt University and a satellite site at Stanford contributing
highly-regarded SCLC GEMMs. Experimental systems will encompass human and GEMM SCLC cell lines and
tumors. Our Center investigators have a track record of co-authored publications in SCLC and/or systems
biology. The Administrative Core will provide leadership and communication across the Center while the
Outreach Core will promote collaborations and disseminate knowledge and tools on SCLC and cancer
heterogeneity. We expect that iteration between experiments and modeling will bring about a system-level
understanding of SCLC tumor heterogeneity with lessons generally applicable to any cancer type.
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科研奖励(0)
会议论文
Administrative Core
-
批准号:10375419
-
项目类别:
-
资助金额:$19.96万
-
财政年份:2018
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负责人:Vito Quaranta
-
依托单位:
Phenotype Heterogeneity and Dynamics in SCLC
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批准号:10375418
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项目类别:
-
资助金额:$154.69万
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财政年份:2018
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负责人:Vito Quaranta
-
依托单位:
Modeling the SCLC Phenotypic Space
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批准号:10375422
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项目类别:
-
资助金额:$51.56万
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财政年份:2018
-
负责人:Vito Quaranta
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依托单位:
Quantitative Multiscale Imaging to Optimize Cancer Treatment Strategies
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批准号:8703365
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项目类别:
-
资助金额:$62.15万
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财政年份:2014
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负责人:Vito Quaranta
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依托单位:
Quantitative Multiscale Imaging to Optimize Cancer Treatment Strategies
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批准号:9131999
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项目类别:
-
资助金额:$15.28万
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财政年份:2014
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负责人:Vito Quaranta
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依托单位:
Inhibition of proliferation by Laminin
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批准号:8691542
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项目类别:
-
资助金额:$20.46万
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财政年份:2014
-
负责人:Vito Quaranta
-
依托单位:
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast Cancer
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批准号:8664820
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项目类别:
-
资助金额:$55.72万
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财政年份:2013
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负责人:Vito Quaranta
-
依托单位:
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast Cancer
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批准号:8920097
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项目类别:
-
资助金额:$54.14万
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财政年份:2013
-
负责人:Vito Quaranta
-
依托单位:
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast Cancer
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批准号:8476896
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项目类别:
-
资助金额:$54.04万
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财政年份:2013
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负责人:Vito Quaranta
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依托单位:
Administration
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批准号:8181597
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项目类别:
-
资助金额:$7.4万
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财政年份:2010
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负责人:Vito Quaranta
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依托单位:
Experimental Component
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批准号:8181583
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项目类别:
-
资助金额:$46.68万
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财政年份:2010
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负责人:Vito Quaranta
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依托单位:
Theoretical Component
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批准号:8181587
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项目类别:
-
资助金额:$8.67万
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财政年份:2010
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负责人:Vito Quaranta
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依托单位:
Functional Studies of Laminin-5
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批准号:7100961
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项目类别:
-
资助金额:$28.39万
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财政年份:2005
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负责人:Vito Quaranta
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依托单位:
Functional Studies of Laminin-5
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批准号:7264492
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项目类别:
-
资助金额:$27.65万
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财政年份:2005
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负责人:Vito Quaranta
-
依托单位:
Functional Studies of Laminin-5
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批准号:6973375
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项目类别:
-
资助金额:$28.89万
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财政年份:2005
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负责人:Vito Quaranta
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依托单位:
Functional Studies of Laminin-5
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批准号:7487296
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项目类别:
-
资助金额:$27.65万
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财政年份:2005
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负责人:Vito Quaranta
-
依托单位:
Multiscale Mathematical Modeling of Cancer Invasion
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批准号:7496213
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项目类别:
-
资助金额:$4.92万
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财政年份:2004
-
负责人:Vito Quaranta
-
依托单位:
Multiscale Mathematical Modeling of Cancer Invasion
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批准号:7899480
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项目类别:
-
资助金额:$11.11万
-
财政年份:2004
-
负责人:Vito Quaranta
-
依托单位:
Multiscale Mathematical Modeling of Cancer Invasion
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批准号:7926030
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项目类别:
-
资助金额:$24.8万
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财政年份:2004
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负责人:Vito Quaranta
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依托单位:
Multiscale Mathematical Modeling of Cancer Progression
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批准号:8068370
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项目类别:
-
资助金额:$132.74万
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财政年份:2004
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负责人:Vito Quaranta
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依托单位:
海外基金