Metabolic determinants of metastatic heterogeneity: quantitative experiments and mathematical models
Metabolic determinants of metastatic heterogeneity: quantitative experiments and mathematical models
批准号:
10231357
负责人:
Deepti Mathur
金额:
$7.05万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-07-31 至 2024-07-30
关键词:
AffectAreaBiological AssayBreast Cancer CellCancer BiologyCancer EtiologyCancer PatientCell LineCellsCessation of lifeComplexComputational BiologyComputer ModelsCustomDataData AnalysesDiseaseDisseminated Malignant NeoplasmDistalEducationEducational process of instructingEnsureEnvironmentEquilibriumFoundationsFreedomFutureGenesGenetic TranscriptionGoalsHeterogeneityHomeHypoxiaInterventionKnowledgeLeadMalignant NeoplasmsMeasurementMediatingMemorial Sloan-Kettering Cancer CenterMentorshipMetabolicMetabolic PathwayMetabolismMetastatic breast cancerModelingNeoplasm MetastasisNutrientOrganPathway interactionsPatientsPlayPopulationPreventionPrimary NeoplasmProbabilityProcessPropertyPublishingResearchResourcesRiskRoleSeedsShapesSiteSoilSystemSystems BiologyTestingTimeTissuesTrainingTropismbasecancer therapycareercareer developmentdrug discoveryexperimental studyextracellularin vivoknock-downmalignant breast neoplasmmathematical modelmeetingsmetabolic phenotypemetabolomicsmimeticsneoplastic celloverexpressionpotential biomarkerprogramssegregationsuccesstumortumor metabolismtumor progression
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary/Abstract
It is critically important to establish the causes of organ-specific metastasis; without this knowledge,
prevention and timely treatment of metastatic cancer progression will likely remain limited. The proposed
project aims to identify how metabolic gradients in the primary tumor can maintain diverse lineages with
specific metabolic adaptations, and how these adaptations contribute to organ-specific metastasis in breast
cancer. The central hypothesis is 1) that metabolic adaptations are key to the match between the seed (the
disseminated cell) and the soil (the distal site) in metastatic breast cancer, and 2) that the metabolic
microenvironment in a primary tumor drives metabolically diverse subpopulations. The hypothesis has been
formulated based on 1) published data detailing metabolic heterogeneity and that metabolic adaptations can
promote metastasis, 2) preliminary data and analysis of RNA expression, metabolomics, and flux
measurements, revealing different metabolic adaptations in breast tumor cells that home to different tissues,
and 3) preliminary data showing that metastatic lineages respond differently to hypoxia and nutrient gradients,
indicating a role for the metabolic microenvironment in maintaining diverse subpopulations within the same
heterogeneous primary tumor.
The proposed aims will be accomplished using a combination of experimental and computational
biology. Integrated flux balance models of metastatic lineages will identify perturbed metabolic pathways in
each lineage. Knocking down or overexpressing key nodes in these pathways and assessing tropism in vivo
will determine the role of metabolic adaptations in organ-specific metastatic selection. The ability of
spontaneous nutrient gradients in the primary tumor to affect spatial segregation of lineages with distinct
metabolic adaptations will be investigated using custom MEMIC tissue mimetic plates. Mathematical models
will be used to study the ecological interactions between cell lines and their microenvironment that lead to
coexistence of metabolically distinct pre-metastatic subpopulations in the primary tumor.
Joao Xavier will provide excellent mentorship for this project and the candidate’s career goals of
leading an independent research program, with a combination of hands-on teaching and freedom for
independent discovery. The current project will form the foundation of the candidate’s future independent
research. The training plan also includes meetings with a co-sponsor and collaborators, facilitating a
comprehensive education and ensuring a high probability of success for the project. The environment at
MSKCC provides further resources important for the completion of the proposed project, as well as career
development support as the candidate transitions to an independent career.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Metabolic determinants of metastatic heterogeneity: quantitative experiments and mathematical models
-
批准号:10448245
-
项目类别:
-
资助金额:$7.39万
-
财政年份:2021
-
负责人:Deepti Mathur
-
依托单位:
Metabolic determinants of metastatic heterogeneity: quantitative experiments and mathematical models
-
批准号:10671020
-
项目类别:
-
资助金额:$7.84万
-
财政年份:2021
-
负责人:Deepti Mathur
-
依托单位:
国内基金
海外基金
层出镰刀菌氮代谢调控因子AreA 介导伏马菌素 FB1 生物合成的作用机理
-
批准号:2021JJ40433
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2021
-
负责人:孙磊
-
依托单位:
寄主诱导梢腐病菌AreA和CYP51基因沉默增强甘蔗抗病性机制解析
-
批准号:32001603
-
项目类别:青年科学基金项目
-
资助金额:24.0万元
-
批准年份:2020
-
负责人:段真珍
-
依托单位:
AREA国际经济模型的移植.改进和应用
-
批准号:18870435
-
项目类别:面上项目
-
资助金额:2.0万元
-
批准年份:1988
-
负责人:史树中
-
依托单位: