Mechanisms and Vulnerabilities of SWI/SNF chromatin remodeling complex mutant lung cancer
SWI/SNF染色质重塑复合体突变型肺癌的机制和脆弱性
基本信息
- 批准号:10025885
- 负责人:
- 金额:$ 47.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:BiogenesisBiologicalBiological ModelsCRISPR/Cas technologyCancer EtiologyCancer cell lineCatalytic DomainCellsCellular Metabolic ProcessChemicalsChromatinChromatin Remodeling FactorClinicClinicalClinical ResearchComplexCustomDataDependenceDevelopmentDiseaseDrug CombinationsDrug TargetingEpidermal Growth Factor ReceptorFDA approvedFoundationsFrequenciesFutureGene ExpressionGene TargetingGenesGenetic ScreeningGenetic TranscriptionGenetically Engineered MouseGenomicsGoalsGrowthGuide RNAImmunotherapyKnock-outLibrariesLoxP-flanked alleleLung NeoplasmsMaintenanceMalignant NeoplasmsMalignant neoplasm of lungMediatingMetabolicMetabolismMitochondriaModelingMusMutateMutationNon-Small-Cell Lung CarcinomaOxidative PhosphorylationOxygenOxygen ConsumptionPatientsPharmaceutical PreparationsPositioning AttributeProcessPublishingRoleSMARCA2 geneSMARCA4 geneScreening ResultStressSucroseTP53 geneTherapeuticTherapeutic StudiesTranslatingTreatment EfficacyTumor Suppressor ProteinsWorkXenograft ModelXenograft procedurecancer cellcancer subtypesclinical developmentclinically relevantdesignefficacy testinggene productimprovedin vivoinhibitor/antagonistinsightmetabolomicsmortalitymouse modelmutantnovelnovel therapeuticspre-clinicalprogrammed cell death ligand 1responsesmall moleculetargeted treatmenttooltreatment strategytumortumor growthtumor microenvironmenttumor xenograft
项目摘要
Project Summary
Lung cancer is a devastating disease that remains the top cause of cancer mortality. Despite recent
advances, the majority of patients with lung cancer lack effective therapeutic options, underscoring the dire need
for additional treatment approaches. Genomic studies have identified frequent mutations in subunits of the
SWI/SNF chromatin remodeling complex including SMARCA4 and ARID1A in non-small cell lung cancer with a
frequency of up to 33% in advanced stage disease, making it the most frequently mutated complex in lung
cancer. We recently demonstrated that Smarca4 acts as a bona fide tumor suppressor in mice and cooperates
with p53 loss and Kras activation. Importantly, SMARCA4 mutant cancer cells have heightened sensitivity to
inhibition of oxidative phosphorylation (OXPHOS) by a novel small molecule, IACS-10759. Mechanistically, we
showed that SMARCA4-deficient cells have a blunted transcriptional response to energy stress creating a
therapeutically relevant vulnerability.
Taking these observations together, we hypothesize that OXPHOS inhibition using IACS-10759 is an
attractive therapeutic strategy for lung cancers with mutations in the SWI/SNF complex. The major objectives of
the proposed study are to discover the mechanistic basis of the metabolic rewiring in SWI/SNF mutants and
provide preclinical evidence to guide future clinical study of IACS-10759 in patients with SWI/SNF mutant lung
cancer. Due to the unique microenvironment of lung cancer including high local oxygen tension, it is imperative
to study therapeutic agents targeting metabolism orthotopically. Hence, we will test efficacy of IACS-10759 in
GEM models of lung cancer. Further, PDX models have emerged as powerful tools to help guide treatment
strategies. Thus, we propose to determine the potential of OXPHOS inhibition in various SWI/SNF mutant PDX
model systems. While our preliminary data indicates that IACS-10759 treatment leads to tumor growth inhibition,
synergistic combination strategies are expected to be even superior in efficacy. Thus, we propose to identify
optimal combination agents that synergize with IACS-10759 by using a chemo-genetic screen. Here, we will use
CRISPR-Cas9 and a custom designed library of guide RNAs against genes targeted by FDA approved drugs
(FDAome). We will validate the results of the screen by performing one-on-one drug combination studies in vivo.
Finally, our preliminary data suggests that SMARCA2 is required for expression of PGC1α, a master
transcriptional regulator of mitochondrial biogenesis and OXPHOS, in SMARCA4 mutant cells. We know from
our published work that PGC1α is essential in SMARCA4 deficient cells. Thus we hypothesize that SMARCA2
is a survival factor and a major driver of metabolic rewiring in SMARCA4 deficient cells in a PGC1α dependent
manner. In conclusion, our study is expected to provide mechanistic insight into the metabolic dysregulation of
SWI/SNF mutant lung cancers and lay the foundation for future clinical development of the OXPHOS inhibitors
as therapeutics.
项目摘要
肺癌是一种毁灭性的疾病,仍然是癌症死亡的首要原因。尽管最近
然而,随着癌症的发展,大多数肺癌患者缺乏有效的治疗选择,这突出了迫切需要
其他治疗方法。基因组学研究已经确定了基因组中亚基的频繁突变,
SWI/SNF染色质重塑复合物(包括SMARCA 4和ARID 1A)在非小细胞肺癌中的表达
在晚期疾病中的频率高达33%,使其成为肺中最常见的突变复合体
癌我们最近证明Smarca 4在小鼠中作为一种真正的肿瘤抑制因子,
p53缺失和Kras激活。重要的是,SMARCA 4突变癌细胞对
新型小分子IACS-10759对氧化磷酸化(OXPHOS)的抑制作用。机械地,我们
表明SMARCA 4缺陷细胞对能量应激的转录反应减弱,从而产生了
治疗相关的脆弱性
将这些观察结果结合在一起,我们假设使用IACS-10759的OXPHOS抑制是一种有效的方法。
具有SWI/SNF复合物突变的肺癌的有吸引力的治疗策略。的主要目标
本研究旨在揭示SWI/SNF突变体中代谢重新连接的机制基础,
提供临床前证据,以指导IACS-10759在SWI/SNF突变肺患者中的未来临床研究
癌由于肺癌独特的微环境包括局部高氧分压,
研究以代谢为靶点的治疗药物。因此,我们将测试IACS-10759在
肺癌的GEM模型。此外,PDX模型已成为帮助指导治疗的强大工具
战略布局因此,我们建议确定在各种SWI/SNF突变体PDX中OXPHOS抑制的潜力。
模型系统虽然我们的初步数据表明IACS-10759治疗导致肿瘤生长抑制,
预期协同组合策略在功效上甚至上级。因此,我们建议确定
通过使用化学遗传学筛选与IACS-10759协同的最佳组合药剂。在这里,我们将使用
CRISPR-Cas9和针对FDA批准药物靶向基因的定制设计的指导RNA文库
(FDAome)。我们将通过在体内进行一对一药物组合研究来验证筛选结果。
最后,我们的初步数据表明,SMARCA 2是表达PGC 1 α所必需的,PGC 1 α是一种主要的
SMARCA 4突变细胞中线粒体生物发生和OXPHOS的转录调节因子。我们知道从
我们发表的工作表明,PGC 1 α在SMARCA 4缺陷细胞中是必需的。因此,我们假设SMARCA 2
是一种生存因子,也是SMARCA 4缺陷细胞中代谢重新连接的主要驱动因素,
方式总之,我们的研究有望为代谢失调提供机制性的见解。
SWI/SNF突变型肺癌,为OXPHOS抑制剂的未来临床开发奠定基础
as therapeutics治疗.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Yonathan Lissanu其他文献
Yonathan Lissanu的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Yonathan Lissanu', 18)}}的其他基金
Targeting SMARCA2 as a therapeutic strategy in SMARCA4 mutant lung cancer
靶向 SMARCA2 作为 SMARCA4 突变肺癌的治疗策略
- 批准号:
10684259 - 财政年份:2022
- 资助金额:
$ 47.2万 - 项目类别:
Mechanisms and Vulnerabilities of SWI/SNF chromatin remodeling complex mutant lung cancer
SWI/SNF染色质重塑复合体突变型肺癌的机制和脆弱性
- 批准号:
10653192 - 财政年份:2020
- 资助金额:
$ 47.2万 - 项目类别:
Mechanisms and Vulnerabilities of SWI/SNF chromatin remodeling complex mutant lung cancer
SWI/SNF染色质重塑复合体突变型肺癌的机制和脆弱性
- 批准号:
10425370 - 财政年份:2020
- 资助金额:
$ 47.2万 - 项目类别:
Mechanisms and Vulnerabilities of SWI/SNF chromatin remodeling complex mutant lung cancer
SWI/SNF染色质重塑复合体突变型肺癌的机制和脆弱性
- 批准号:
10207560 - 财政年份:2020
- 资助金额:
$ 47.2万 - 项目类别:
相似海外基金
Nonlocal Variational Problems from Physical and Biological Models
物理和生物模型的非局部变分问题
- 批准号:
2306962 - 财政年份:2023
- 资助金额:
$ 47.2万 - 项目类别:
Standard Grant
Point-of-care optical spectroscopy platform and novel ratio-metric algorithms for rapid and systematic functional characterization of biological models in vivo
即时光学光谱平台和新颖的比率度量算法,可快速、系统地表征体内生物模型的功能
- 批准号:
10655174 - 财政年份:2023
- 资助金额:
$ 47.2万 - 项目类别:
Multi-scale stochastic systems motivated by biological models
由生物模型驱动的多尺度随机系统
- 批准号:
RGPIN-2015-06573 - 财政年份:2022
- 资助金额:
$ 47.2万 - 项目类别:
Discovery Grants Program - Individual
Micro-electrofluidic platforms for monitoring 3D human biological models
用于监测 3D 人体生物模型的微电流体平台
- 批准号:
DP220102872 - 财政年份:2022
- 资助金额:
$ 47.2万 - 项目类别:
Discovery Projects
Multi-scale stochastic systems motivated by biological models
由生物模型驱动的多尺度随机系统
- 批准号:
RGPIN-2015-06573 - 财政年份:2021
- 资助金额:
$ 47.2万 - 项目类别:
Discovery Grants Program - Individual
Multi-scale stochastic systems motivated by biological models
由生物模型驱动的多尺度随机系统
- 批准号:
RGPIN-2015-06573 - 财政年份:2020
- 资助金额:
$ 47.2万 - 项目类别:
Discovery Grants Program - Individual
Harnessing machine learning and cloud computing to test biological models of the role of white matter in human learning
利用机器学习和云计算来测试白质在人类学习中的作用的生物模型
- 批准号:
2004877 - 财政年份:2020
- 资助金额:
$ 47.2万 - 项目类别:
Fellowship Award
A Portable low-cost, Point of Investigation CapCell Scope to Image and Quantify the Major Axes of Metabolism and the Associated Vasculature in In vitro and In vivo Biological Models
便携式低成本调查点 CapCell 示波器,用于对体外和体内生物模型中的主要代谢轴和相关脉管系统进行成像和量化
- 批准号:
9899988 - 财政年份:2019
- 资助金额:
$ 47.2万 - 项目类别:
Multi-scale stochastic systems motivated by biological models
由生物模型驱动的多尺度随机系统
- 批准号:
RGPIN-2015-06573 - 财政年份:2019
- 资助金额:
$ 47.2万 - 项目类别:
Discovery Grants Program - Individual
A Portable low-cost, Point of Investigation CapCell Scope to Image and Quantify the Major Axes of Metabolism and the Associated Vasculature in In vitro and In vivo Biological Models
便携式低成本调查点 CapCell 示波器,用于对体外和体内生物模型中的主要代谢轴和相关脉管系统进行成像和量化
- 批准号:
9753458 - 财政年份:2019
- 资助金额:
$ 47.2万 - 项目类别: