Phenotype Interactions and Dynamics in SCLC Tumors
SCLC 肿瘤的表型相互作用和动态
基本信息
- 批准号:10375423
- 负责人:
- 金额:$ 42.03万
- 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:2018-04-13 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:AffectAutomobile DrivingBehaviorBiological AssayBiologyCell CommunicationCell LineCellsChemotherapy and/or radiationCommunicationComplementComplexDNA Sequence AlterationDataDevelopmentDiseaseDissectionEcosystemEpigenetic ProcessEpithelial CellsEvolutionExperimental DesignsFeedbackGenerationsGeneticGenetically Engineered MouseGoalsGrowthHeterogeneityHumanIn VitroInterventionKnowledgeLeadLungMYC Family GenesMaintenanceMalignant Epithelial CellMalignant NeoplasmsMalignant neoplasm of lungMesenchymalMicroscopeModelingMolecularMutationNatureNeoplasm MetastasisNeuroendocrine CellNeuroendocrine TumorsNeurosecretory SystemsPTEN genePatientsPhenotypePopulationPopulation DynamicsProteinsPublishingRadiation therapyResearch PersonnelResistanceRoleSupporting CellSurvival RateSystemTechnologyTestingTherapeutic InterventionTransplantationTumor-DerivedValidationWorkbasebiological systemscancer stem cellcell typedesignexperimental studyextracellular vesicleshuman datain silicoin vivolung small cell carcinomamathematical methodsmathematical modelmouse modelneoplastic cellnovelnovel therapeutic interventionpredictive modelingrelease factorrelease factor 3responseself-renewalsingle-cell RNA sequencingstemtargeted treatmenttooltreatment responsetumortumor growthtumor heterogeneitytumor initiationtumor microenvironmenttumor progressiontumorigenicvirtual
项目摘要
PROJECT SUMMARY – PROJECT 2
Small Cell Lung Carcinoma (SCLC) is an aggressive neuroendocrine subtype of lung cancer. SCLC
patients have a very low 5-year survival, in large part because SCLC tumors can become rapidly resistant to
chemotherapy and radiation therapy and because of a lack of targeted therapies. Emerging evidence supports
the idea that, while SCLC tumors seem homogeneous when examined under a microscope, these tumors
contain a significant level of intra-tumoral heterogeneity. Indeed, recent observations by our group and others
have identified distinct cellular phenotypes in SCLC, including in primary human tumors, in cell lines derived
from human tumors, and in tumors from genetically-engineered mouse models. Importantly, data from our
group as well as from Project 1 investigators indicate that these cellular phenotypes contribute to SCLC
development and potentially response to therapy. The specific goal of this proposal is to elucidate how different
cellular subpopulations within SCLC tumors drive SCLC dynamics, growth, survival, and aggressiveness as an
ecosystem. To accomplish this goal, we will focus on better understanding the nature of SCLC phenotypic
subtypes and how these populations functionally interact with each other and with noncancerous cells in the
tumor microenvironment.
Specifically, we have previously identified stem-like tumor-propagating cells (TPCs) in SCLC tumors and
found that these cells are neuroendocrine and strongly tumorigenic. We have also characterized cell
populations derived from these TPCs with distinct phenotypes, including non-neuroendocrine subpopulations
that can promote the growth and the spread of the neuroendocrine TPCs. Leveraging these findings as well as
our unique genetic mouse models that allow dissection of SCLC phenotype evolution, we will use a
combination of experimental and mathematical approaches to investigate how these different SCLC cell types
contribute to tumor growth, in relationship with the tumor microenvironment. We will build and use
mathematical modeling to predict key interactions between SCLC subpopulations with distinct phenotypes and
to uncover fragility/intervention points that could be used for treatment. Modeling will also be a key factor
driving experimental design. As part of this design, we will determine how cell-cell interactions in SCLC tumors
affect the division and survival rates of the different subpopulations; we will also determine phenotype
transition rates between different subpopulations to capture SCLC dynamics and plasticity. Finally, we will
elucidate the role of secretory factors released by these SCLC subpopulations in driving survival, growth,
phenotype composition, and metastasis of SCLC tumors. These experiments will elucidate basic mechanisms
of SCLC development and progression and may ultimately lead to novel therapeutic approaches by identifying
key interactions of SCLC subpopulations.
项目摘要--项目2
小细胞肺癌(SCLC)是一种侵袭性的神经内分泌亚型肺癌。小细胞肺癌
患者的5年存活率非常低,很大程度上是因为小细胞肺癌肿瘤可以迅速对
化疗和放射治疗,以及缺乏有针对性的治疗。新出现的证据支持
虽然小细胞肺癌肿瘤在显微镜下检查时看起来是均匀的,但这些肿瘤
包含显著水平的肿瘤内异质性。事实上,我们小组和其他人最近的观察到
在小细胞肺癌中发现了不同的细胞表型,包括在人类原发肿瘤中,在衍生的细胞系中
来自人类肿瘤,以及来自基因工程小鼠模型的肿瘤。重要的是,来自我们的数据
研究小组和项目1的研究人员表明,这些细胞表型对小细胞肺癌有贡献
发展和潜在的治疗反应。这项提议的具体目标是阐明
小细胞肺癌肿瘤内的细胞亚群推动小细胞肺癌的动态、生长、存活和侵袭性
生态系统。为了实现这一目标,我们将专注于更好地理解小细胞肺癌表型的性质。
亚型以及这些群体如何在功能上相互作用以及如何与非癌细胞相互作用
肿瘤微环境。
具体地说,我们以前在小细胞肺癌肿瘤和小细胞肺癌中发现了干细胞样肿瘤增殖细胞(TPC)
发现这些细胞是神经内分泌的,具有很强的致瘤性。我们还对细胞进行了表征
来自这些具有不同表型的TPC的群体,包括非神经内分泌亚群
这可以促进神经内分泌TPC的生长和扩散。利用这些发现以及
我们独特的小鼠遗传模型允许解剖SCLC表型进化,我们将使用
结合实验和数学方法来研究这些不同的SCLC细胞类型如何
促进肿瘤生长,与肿瘤微环境有关。我们将建造并使用
用数学模型预测具有不同表型的小细胞肺癌亚群与
以发现可用于治疗的脆弱性/干预点。建模也将是一个关键因素
推动实验设计。作为这项设计的一部分,我们将确定小细胞肺癌肿瘤中细胞与细胞的相互作用
影响不同亚群的分裂和存活率;我们还将确定表型
不同亚群之间的过渡率,以捕捉小细胞肺癌的动态和可塑性。最后,我们会
阐明这些小细胞肺癌亚群释放的分泌因子在推动生存、生长、
小细胞肺癌肿瘤的表型组成和转移。这些实验将阐明基本的机制。
小细胞肺癌的发展和进展,并可能最终导致新的治疗方法通过识别
小细胞肺癌亚群的关键交互作用。
项目成果
期刊论文数量(0)
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Alissa M Weaver其他文献
Alissa M Weaver的其他文献
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{{ truncateString('Alissa M Weaver', 18)}}的其他基金
Role of ER-membrane contacts in biogenesis of RNA-containing EVs
内质网膜接触在含 RNA EV 生物发生中的作用
- 批准号:
10544789 - 财政年份:2020
- 资助金额:
$ 42.03万 - 项目类别:
exRNA in colorectal carcinoma: biogenesis and function
结直肠癌中的 exRNA:生物发生和功能
- 批准号:
10544788 - 财政年份:2020
- 资助金额:
$ 42.03万 - 项目类别:
Phenotype Interactions in SCLC Development and Detection
SCLC 发展和检测中的表型相互作用
- 批准号:
10472576 - 财政年份:2018
- 资助金额:
$ 42.03万 - 项目类别:
Phenotype Interactions in SCLC Development and Detection
SCLC 发展和检测中的表型相互作用
- 批准号:
9788304 - 财政年份:2018
- 资助金额:
$ 42.03万 - 项目类别:
Phenotype Interactions in SCLC Development and Detection
SCLC 发展和检测中的表型相互作用
- 批准号:
10246932 - 财政年份:2018
- 资助金额:
$ 42.03万 - 项目类别:
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