Systematic identification of astrocyte-tumor crosstalk regulating brain metastatic tumors
Systematic identification of astrocyte-tumor crosstalk regulating brain metastatic tumors
批准号:
10556374
负责人:
STEPHEN TC WONG
金额:
$36.2万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-02-15 至 2025-01-31
关键词:
AnatomyAnimalsAntibody TherapyApoptosisAstrocytesBiological AssayBiologyBlood - brain barrier anatomyBrainBrain DiseasesBrain PathologyBreastCCR5 geneCancer ModelCancer PatientCell CommunicationCell modelCellsCentral Nervous System AgentsCessation of lifeClinicalCoculture TechniquesComplexComputer ModelsDataDevelopmentDiseaseDisease ProgressionDrug CombinationsEarly DiagnosisEndotheliumEpidermal Growth Factor ReceptorEvolutionExtravasationFutureGrowthHumanI Kappa B-AlphaIL6 geneIn VitroIncidenceLungMAP Kinase GeneMacrophageMalignant NeoplasmsMediatingMetastatic malignant neoplasm to brainMethodsMicrogliaMolecularMusNatureNeoplasm MetastasisNeurogliaNeurosciencesOrganOutcomeParacrine CommunicationPathogenesisPatientsPenetrationPhysiologicalProcessProtein SecretionProteinsRANTESRadiation therapyRecurrent Malignant NeoplasmSeminalSignal PathwaySignal TransductionStimulusTestingTherapeuticTherapeutic AgentsTimeTrastuzumabTreatment outcomeTumor stageTumor-Secreted ProteinXenograft procedureblood-brain barrier functionblood-brain barrier penetrationblood-brain tumor barrierbrain cellbrain tissuecancer cellcancer recurrencecancer sitecancer typechemotherapycomparativecrizotinibdiagnostic biomarkerdrug repurposingearly detection biomarkersgain of functionimprovedin vivoinnovationkinase inhibitorknowledge integrationloss of functionmelanomamouse modelmultiplexed imagingneoplastic cellneurosurgerynovelnovel therapeutic interventionp38 Mitogen Activated Protein Kinasepharmacologicpredictive modelingprimary outcomerepositoryresponsesmall molecule inhibitortooltranscriptome sequencingtreatment responsetumor
中文摘要
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英文摘要
As treatment outcomes of primary or systemic cancer sites improve, the clinical importance of brain metastasis
(BM) is growing. Twenty-four to 45 percent of all cancer patients develop BM, the majority from lung, breast or
melanoma primary cancers, but few patients with BM live longer than a year, and BM constitutes 20% of
annual cancer deaths. Ironically, recent advancement in chemotherapy has further increased the incidence of
BM because most therapeutic agents cannot effectively penetrate the blood-brain barrier (BBB) and tumor
cells find the brain as a sanctuary. Therefore, it is of paramount importance to have a deeper understanding of
mechanisms that promote BM growth, which could be specifically leveraged to overcome current limitations in
therapy.
As opposed to the molecular mechanisms involving cancer cell–host interactions shared by multiple cancer
types that result in organ specific metastasis, a highly distinct set of structural, anatomic, physiologic and
molecular factors regulate metastasis to the brain. Astrocytes, the most common glial cell comprising ~ 50% of
all human brain cells, are a well characterized perilesional component of BM and recent discoveries, including
ours, provide compelling evidence that molecular crosstalk between astrocytes and cancer cells is integral to
BM development. Although seminal findings indicate that interactions with astrocytes occur at both early and
late stages of tumor colonization process, our understanding of the reciprocal astrocyte-cancer cell crosstalk is
limited. In preliminary studies, we have employed our Cell-Cell Communication Explorer (CCCExplorer), a
unique computational modeling tool, in identifying the novel PCDH7-EGFR, IL6-IL6R, and CCL5-CCR5
astrocyte-tumor crosstalk signaling in regulating BM. Based on these observations and in view of the secretory
nature of glial cells, we propose here to test the hypothesis that crosstalk with astrocyte-derived secreted
factors is critical for tumor cell colonization in the brain.
Given that an even more complicated paracrine signaling network may dynamically evolve at different
stages of BM development, and the interactions could provide both anti- and pro-metastatic stimuli to cancer
cells, we will test our hypothesis through the following aims: 1) to assess therapeutic potential of the PCDH7-
EGFR, IL6-IL6R and CCL5-CCR5 paracrine signaling in BM mouse models employing gain and loss of
function and pharmacologic approaches in syngeneic mouse and human cancer xenografts; 2) to assess the
astrocyte secreted proteins in modifying the function of BBB and microglia/macrophage in early BM; 3) to
further characterize the temporally evolved astrocyte-BM cell crosstalks in a cancer type specific fashion.
Our study is highly innovative in that (i) this study integrates knowledge and methods from both
neuroscience and cancer to identify and characterize pro- and anti-metastatic astrocyte molecular
mechanisms, their evolution during disease progression, and their manipulation in order to provide a valuable
means of targeting astrocyte-cancer cell interactions. (ii) This study leverages powerful predictive modeling of
cell-cell communications (CCCExplorer) to investigate and delineate the complex network of tumor-astrocyte
interactions holistically in an unbiased manner. (iii) This study will address whether there is any specific
therapeutic window as to which time point during BM might represent the most effective point of modulating
and targeting the vicious astrocyte-tumor crosstalk. (iv) Given the strong response of astrocytes to BM during
the course of brain colonization, the identification of secreted molecules may represent putative biomarkers of
early diagnosis or response to therapy. (v) Data generated in this study would form an extraordinary repository
for comparative analyses between different brain disorders to interrogate common and different aspects of
astrocyte biology in different scenarios as well as to evaluate the potential new therapeutic strategies such as
drug repurposing and combinations. The outcome of our study will provide a paradigm shift in current
understanding of the pathology of BM, while achieving a significant impact on future treatments for this
devastating disease.
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批准号:10677032
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资助金额:$52.3万
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财政年份:2020
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负责人:STEPHEN TC WONG
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批准号:10403970
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资助金额:$49.3万
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Convergent AI for Precise Breast Cancer Risk Assessment
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批准号:10172878
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资助金额:$50.31万
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依托单位:
Convergent AI for Precise Breast Cancer Risk Assessment
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批准号:10632014
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资助金额:$49.3万
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负责人:STEPHEN TC WONG
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依托单位:
Systematic identification of astrocyte-tumor crosstalk regulating brain metastatic tumors
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批准号:10337313
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资助金额:$36.2万
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财政年份:2020
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依托单位:
Convergent AI for Precise Breast Cancer Risk Assessment
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批准号:10028242
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资助金额:$53.36万
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财政年份:2020
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依托单位:
Spatiotemporal modeling of cancer-niche interactions in breast cancer bone metastasis
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批准号:10056730
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资助金额:$54.91万
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资助金额:$68.96万
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Center for Systematic Modeling of Cancer Development
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批准号:8089854
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资助金额:$12.17万
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Center for Systematic Modeling of Cancer Development
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资助金额:$202.99万
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资助金额:$212.97万
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财政年份:2010
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负责人:STEPHEN TC WONG
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依托单位:
Admininstrative Core
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批准号:8180590
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项目类别:
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资助金额:$32.4万
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财政年份:2010
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负责人:STEPHEN TC WONG
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依托单位:
Center for Systematic Modeling of Cancer Development
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批准号:7878918
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资助金额:$229.65万
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Center for Systematic Modeling of Cancer Development
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资助金额:$182.95万
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财政年份:2010
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依托单位:
The Core of the Computational Biology
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批准号:8180567
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资助金额:$54.33万
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AFINITI - An Augmented System for Neuroimaging Followup
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Neuronal Spines Tracking and Analysis for Time-Lapse, 3D Optical Microscopy
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海外基金