Uncovering the Biology of Resistance to Tyrosine Kinase Inhibitors in EGFR Mutant Lung Cancer Patient-Derived Models.
揭示 EGFR 突变肺癌患者衍生模型中酪氨酸激酶抑制剂耐药性的生物学。
基本信息
- 批准号:10616672
- 负责人:
- 金额:$ 72.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-04-23 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAddressAffectAreaBiologicalBiologyBiopsyBrainBypassCancer BiologyCancer EtiologyCancer ModelCancer PatientCell LineCellsCessation of lifeClinicalDataDevelopmentDiseaseDisseminated Malignant NeoplasmDrug resistanceEpidermal Growth Factor ReceptorErlotinibEvolutionExhibitsExtracellular MatrixGefitinibGenerationsGenomicsHeterogeneityHistologicHumanImmunotherapyImplantKnowledgeLeadLinkLiverLocationLung AdenocarcinomaMalignant NeoplasmsMalignant neoplasm of lungMalignant neoplasm of thoraxMeasuresMediatorModelingMolecularMolecular ProfilingMutationNatureNeoplasm MetastasisOrganoidsOutcomePathway interactionsPatientsPatternPhenotypePre-Clinical ModelPrincipal InvestigatorProcessPropertyRegimenRelapseResearchResistanceResourcesSamplingSeriesSignal PathwaySiteSourceSpecimenTestingTissuesTranslation InitiationTyrosine Kinase Inhibitorinsightinterdisciplinary approachlung cancer cellmolecular targeted therapiesmutantneoplastic cellnovelnovel therapeutic interventionnovel therapeuticspatient derived xenograft modelpatient subsetspharmacologicpreventprogramsrefractory cancerresistance mechanismresponsesubcutaneoustargeted treatmenttherapy resistanttranslational research programtumortumor microenvironmenttumor xenograft
项目摘要
PROJECT SUMMARY
A long-standing clinical observation is that metastatic cancers are refractory to treatment. Even with the advent
of molecularly targeted therapies, drug resistance almost always emerges and patients ultimately succumb to
further metastatic spread of the cancer. In the case of EGFR mutant lung adenocarcinoma (LUAD), tumors can
acquire resistance to tyrosine kinase inhibitors (TKI) while spreading to the liver and brain. The mechanisms
linking these morbid outcomes remain poorly understood. Here, we propose to study the biological properties of
EGFR mutant tumors as they evolve through TKI treatment, identify the factors that allow treated tumor cells to
persist and how features of the metastatic niche and depth (or durability) of responses to TKIs are linked. We
hypothesize that, 1) the tumor microenvironment (TME) and tumor cell extrinsic factors are critical determinants
of disseminated tumor cell persistence following TKI treatment and 2) that the reliance on these factors decreases
in highly resistant metastasis through sequential TKI treatment.
To study this hypothesis, we have successfully established a repeat biopsy program to collect and analyze
lung cancer specimens, including EGFR mutant LUADs before and after TKI treatment. Through this program we
have established >20 patient-derived models of EGFR mutant LUAD, including organoid cultures and
subcutaneous and orthotopic patient-derived xenografts (PDXs). In Aim 1, we will generate additional patient-
derived models of cancer (PDMCs) as organoids, subcutaneous or orthotopic PDXs, collected from 10 patients
with EGFR mutant LUAD longitudinally prior to TKI treatment and at acquired resistance to TKIs. These PDMCs
will be genomically and histologically characterized, while their TKI sensitivity will be compared to the patient
specimens. In Aim 2, we will leverage these models to determine the mechanisms by which TKI resistance affects
the aggressiveness of EGFR mutant tumors. Using paired pre- and post-TKI PDMCs, we will evaluate the latency
and site of relapse of these tumors. We will also determine how known mechanisms of TKI resistance affect the
metastatic properties of EGFR mutant tumors and identify novel dual molecular mediators of resistance and
metastasis. Finally, in Aim3, we will Identify tissue-specific determinants of tumor cell persistence following TKI
treatment. Focusing on tumors that we know are responsive to specific TKIs, we will establish whether tumors
implanted in different sites of metastases exhibit different sensitivity to TKIs and identify the cellular, molecular
and pharmacological determinants of these differences. We will test the mechanistic prediction that the stromal
extracellular matrix modulates the ability of tumor cells to persist upon TKI treatment.
Thoracic malignancies account for most cancer-related deaths. By integrating the complementary expertise
and resources of 2 principal investigators and collaborators, our aims will provide fundamental insights into the
longitudinal evolution of EGFR mutant LUAD under treatment and the mechanistic relationship between drug
resistance and the tumor microenvironment, which will lead to new therapeutic strategies for metastatic cancers.
项目总结
一个长期的临床观察是,转移性癌症是难以治疗的。即使有了新的
在分子靶向治疗中,几乎总是会出现耐药性,患者最终会屈服于
癌症的进一步转移扩散。在EGFR突变肺腺癌(LUAD)的情况下,肿瘤可以
获得对酪氨酸激酶抑制剂(TKI)的抵抗力,同时扩散到肝脏和大脑。其作用机制
人们对这些病态结果之间的联系仍知之甚少。在此,我们拟研究其生物学特性。
当EGFR突变肿瘤通过TKI治疗演变时,识别允许接受治疗的肿瘤细胞
持续以及转移的生态位特征与对TKIs的反应深度(或持久性)如何联系在一起。我们
假设:1)肿瘤微环境(TME)和肿瘤细胞外在因素是关键决定因素
TKI治疗后对播散性肿瘤细胞持久性的影响以及2)对这些因素的依赖程度降低
通过序贯TKI治疗发生高度耐药的转移。
为了研究这一假设,我们成功地建立了重复活组织检查计划来收集和分析
肺癌标本,包括TKI治疗前后的EGFR突变LUADs。通过这个项目,我们
已经建立了20个患者来源的EGFR突变LUAD模型,包括有机培养物和
皮下和原位患者来源的异种移植物(PDX)。在目标1中,我们将产生更多的患者-
来自10名患者的派生癌症模型(PDMC),作为有机类、皮下或原位PDX
与EGFR突变体LUAD在TKI治疗之前纵向和获得性抗性TKI。这些PDMC
将具有基因组和组织学特征,而他们对TKI的敏感性将与患者进行比较
标本。在目标2中,我们将利用这些模型来确定TKI抵抗影响的机制
EGFR突变肿瘤的侵袭性。使用配对的TKI前后PDMC,我们将评估延迟
以及这些肿瘤的复发部位。我们还将确定已知的TKI耐药机制如何影响
EGFR突变型肿瘤的转移特性及新型耐药和耐药双分子介质的鉴定
转移。最后,在Aim3中,我们将确定TKI后肿瘤细胞持久性的组织特异性决定因素
治疗。聚焦于我们所知的对特定TKI有反应的肿瘤,我们将确定肿瘤
植入不同部位的转移灶对TKIs表现出不同的敏感性,并鉴定细胞、分子
以及这些差异的药理学决定因素。我们将测试间质的机械预测
细胞外基质调节肿瘤细胞在TKI治疗中持续存在的能力。
胸部恶性肿瘤是大多数与癌症相关的死亡原因。通过整合互补的专业知识
和2个主要研究人员和合作者的资源,我们的目标将提供对
治疗中EGFR突变型LUAD的纵向演变及药物间的机制关系
耐药性和肿瘤微环境,这将导致转移性癌症的新治疗策略。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
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Don X Nguyen其他文献
Don X Nguyen的其他文献
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{{ truncateString('Don X Nguyen', 18)}}的其他基金
Uncovering the Biology of Resistance to Tyrosine Kinase Inhibitors in EGFR Mutant Lung Cancer Patient-Derived Models.
揭示 EGFR 突变肺癌患者衍生模型中酪氨酸激酶抑制剂耐药性的生物学。
- 批准号:
9920134 - 财政年份:2019
- 资助金额:
$ 72.9万 - 项目类别:
Uncovering the Biology of Resistance to Tyrosine Kinase Inhibitors in EGFR Mutant Lung Cancer Patient-Derived Models.
揭示 EGFR 突变肺癌患者衍生模型中酪氨酸激酶抑制剂耐药性的生物学。
- 批准号:
10376749 - 财政年份:2019
- 资助金额:
$ 72.9万 - 项目类别:
Project 3: Identifying and targeting mediators of CNS metastasis from lung cancer
项目3:识别和靶向肺癌中枢神经系统转移的介质
- 批准号:
10203856 - 财政年份:2015
- 资助金额:
$ 72.9万 - 项目类别:
A novel lineage pathway controls metabolic adaptation by metastatic lung cancers
一种新的谱系途径控制转移性肺癌的代谢适应
- 批准号:
8984877 - 财政年份:2014
- 资助金额:
$ 72.9万 - 项目类别:
A novel lineage pathway controls metabolic adaptation by metastatic lung cancers
一种新的谱系途径控制转移性肺癌的代谢适应
- 批准号:
9182876 - 财政年份:2014
- 资助金额:
$ 72.9万 - 项目类别:
Epigenetic modulation of lung cancer metastasis by a novel long intergenic RNA
新型长基因间RNA对肺癌转移的表观遗传调节
- 批准号:
8900254 - 财政年份:2014
- 资助金额:
$ 72.9万 - 项目类别:
A Novel Lineage Specific Metastasis Suppressor Pathway in Lung Cancer
肺癌中一种新的谱系特异性转移抑制途径
- 批准号:
8681391 - 财政年份:2012
- 资助金额:
$ 72.9万 - 项目类别:
A NOVEL LINEAGE SPECIFIC METASTASIS PATHWAY IN LUNG CANCER
肺癌中一种新的谱系特异性转移途径
- 批准号:
10066312 - 财政年份:2012
- 资助金额:
$ 72.9万 - 项目类别:
A NOVEL LINEAGE SPECIFIC METASTASIS PATHWAY IN LUNG CANCER
肺癌中一种新的谱系特异性转移途径
- 批准号:
9884455 - 财政年份:2012
- 资助金额:
$ 72.9万 - 项目类别:
A Novel Lineage Specific Metastasis Suppressor Pathway in Lung Cancer
肺癌中一种新的谱系特异性转移抑制途径
- 批准号:
8436668 - 财政年份:2012
- 资助金额:
$ 72.9万 - 项目类别:
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