Using a chemical biology approach to develop novel inhibitors of mitochondrial oxidative phosphorylation for the treatment of ovarian cancer
使用化学生物学方法开发用于治疗卵巢癌的新型线粒体氧化磷酸化抑制剂
基本信息
- 批准号:10513296
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-04-01 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:Active LearningAddressAgeAge YearsApoptosisBenzoquinonesBiochemicalBiologicalBiological AssayBiological Response Modifier TherapyBiologyBiometryCancer BiologyCancer ModelCancer cell lineCell DeathCell Death InhibitionCellsCharacteristicsChemicalsClinical ManagementClinical TrialsCurcuminDNA DamageDNA RepairDNA strand breakDataDevelopmentDiagnosisDiseaseDoseDrug TargetingElectron TransportExhibitsFADH2FemaleFemale Genital NeoplasmsFutureGenetic Complementation TestGoalsHealthcare SystemsIncidenceInduction of ApoptosisLeadMalignant Female Reproductive System NeoplasmMalignant NeoplasmsMalignant neoplasm of ovaryMetabolicMetabolic PathwayMethodsMitochondriaModelingModernizationMolecularNADHNon-MalignantOvarianOvarian Serous TumorOxidative PhosphorylationOxidative StressOxygenPatientsPeriodicityPharmaceutical PreparationsPoly(ADP-ribose) Polymerase InhibitorPopulationPostmenopausePredispositionPropertyPubChemReactive Oxygen SpeciesRecordsRecurrent tumorReportingResearchScreening procedureSerousSiteStandardizationTP53 geneTestingTherapeuticTissuesToxic effectTreatment ProtocolsUbiquinoneVeteransWomanWorkaerobic glycolysisage groupaging populationatovaquonecancer cellcancer stem cellcancer therapycandidate identificationcarbonyl compoundcheminformaticschemotherapeutic agentchemotherapycitralcohortcost effectivedata miningdrug candidateeffective therapyexperimental studyfunctional grouphigh standardhigh throughput screeningin vivoinhibitorinnovationinterestmachine learning modelmetabolic ratemilitary veteranmimeticsmodel buildingmouse modelneoplastic cellnovelnovel anticancer drugnovel strategiesovarian neoplasmoxidative damagepharmacokinetic characteristicpharmacologicplumbaginpre-clinicalpreclinical studyprotein complexpublic repositoryscaffoldscreeningsmall moleculesmall molecule inhibitorsynergismtargeted agenttumortumor growthtumor metabolismtumor microenvironment
项目摘要
The number of women Veterans is rapidly increasing and expected to reach to 16-17% of the total Veteran
population within the next two decades. Furthermore, female Veterans are an aging population, the 45-64 age
group being the largest cohort. As female Veterans age, an increasing number are expected to present with
cancers. Gynecologic tumors constitute 12% of all cancers in women Veterans with ovarian malignancy being
the second most common in this group. Ovarian cancer predominantly develops in postmenopausal women.
Therefore, the incidence of this cancer is expected to increase as the population ages. Ovarian cancer is an
especially lethal cancer with none of the modern treatment regimens showing major benefits on overall survival
of patients. Our proposed research focuses on the development of novel oxidative phosphorylation (OXPHOS)
inhibitors for the treatment of ovarian cancer. Leads for therapeutics emerging from this work have great potential
benefit to women Veterans and is highly significant to the VA Healthcare system. Recurrent tumors, cancer stem
cells, and non-malignant cells from the tumor microenvironment engage OXPHOS for their metabolic needs.
Therefore, there is renewed interest in developing OXPHOS inhibitors as novel agents for the treatment of
cancer. We have identified a group of compounds that inhibit OXPHOS by interfering with ubiquinone in
transporting electrons from NADH and FADH2 to molecular oxygen. The compounds we are testing, citral,
plumbagin, curcumin, atovaquone and others, have an unsaturated carbonyl functional group that mimics
ubiquinone’s benzoquinone substructure. As a result, these compounds interfere in OXPHOS, cause rapid
increase in intracellular oxygen radicals that damage DNA, and induce apoptosis through the activation of p53.
Such ubiquinone mimetics are therefore candidates for cancer therapy. However, the OXHPOS inhibitors we
have examined so far, show poor potency and pharmacokinetic characteristics. In this application we propose
to employ rapid and cost-effective computational approaches to identify novel and potent OXPHOS inhibitors
with the goal of developing leads for treatment of high-grade serous ovarian tumors. In Aim 1, we will develop
and validate a data mining pipeline to identify potent and drug-like OXPHOS inhibitors from extensive assay data
available in PubChem public repository. In Aim 2 we will employ a machine learning model, based on previous
screening data, to guide selection of new compounds for iterative screening in cell biological assays reporting
on different aspects of the OXPHOS pathway. In Aim 3, we will test combination dosing of OXPHOS and PARP
inhibitors for synergistic potency and efficacy in ovarian cancer models. The methods developed here could be
applied generally in leveraging prior assay data to build models that guide iterative screening as a more efficient
approach than standard high throughput screening. The proposed studies should help us to identify the most
promising biochemical targets and inhibitory compound classes for OXPHOS-targeted ovarian cancer therapies.
Lead OXPHOS inhibitors discovered through our approach will be tested in future clinical trials that include
women Veterans diagnosed for high grade serous ovarian cancer.
退伍军人的数量迅速增加,预计将达到退伍军人总数的16-17%
在接下来的二十年中的人口。此外,女退伍军人是老龄化的人口,年龄为45-64岁
小组是最大的队列。随着女性退伍军人的年龄,预计会有越来越多的人
癌症。妇科肿瘤占卵巢恶性肿瘤的所有癌症的12%
该组中第二大的最常见。绝经后妇女主要发展卵巢癌。
因此,随着人口年龄的增长,该癌症的事件预计将增加。卵巢癌是
特别是致命的癌症,没有任何现代治疗方案显示出对整体生存的主要好处
患者。我们提出的研究重点是新型氧化磷酸化(OXPHOS)的发展
治疗卵巢癌的抑制剂。从这项工作中出现的治疗的铅具有很大的潜力
对女性退伍军人的好处,对VA医疗保健系统非常重要。复发性肿瘤,癌症
细胞和来自肿瘤微环境的非恶性细胞可满足其代谢需求。
因此,人们对开发OXPHOS抑制剂作为治疗的新型药物有新的兴趣
癌症。我们已经确定了一组通过干扰泛氨酮在
将电子从NADH和FADH2运输到分子氧。我们正在测试的化合物,柠檬酸,
Plumbagin,Curcumin,Atovaquone等人有一个不饱和的羰基功能组,可以模仿
泛酮的苯喹酮子结构。结果,这些化合物在OXPHOS中的干扰会导致快速
增加细胞内氧自由基,损害DNA,并通过p53的激活诱导凋亡。
因此,这种泛氨基酮模拟物是癌症治疗的候选者。但是,OXHPOS抑制剂我们
到目前为止已经检查了效力和药代动力学特征不佳。在此申请中,我们提出
采用快速且具有成本效益的计算方法来识别新颖和潜在的OXPHOS抑制剂
目的是开发用于治疗高级浆液卵巢肿瘤的铅。在AIM 1中,我们将发展
并验证数据挖掘管道,以从广泛的测定数据中识别潜在和类似药物的OXPHOS抑制剂
可在PubChem公共存储库中找到。在AIM 2中,我们将基于以前的机器学习模型
筛选数据,以指导新化合物的选择,用于细胞生物学测定中的迭代筛查
在Oxphos途径的不同方面。在AIM 3中,我们将测试OXPHOS和PARP的组合剂量
卵巢癌模型中协同效力和效率的抑制剂。这里开发的方法可能是
通常应用于利用先前的测定数据来构建模型,以指导迭代筛选为更有效的效率
方法比标准高通量筛选。拟议的研究应该帮助我们确定最多
有望的生化靶标和抑制性化合物的卵巢癌疗法。
通过我们的方法发现的铅Oxphos抑制剂将在以后的临床试验中进行测试,其中包括
诊断为高级浆液卵巢癌的女退伍军人。
项目成果
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Manish S Patankar其他文献
Manish S Patankar的其他文献
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{{ truncateString('Manish S Patankar', 18)}}的其他基金
Using a chemical biology approach to develop novel inhibitors of mitochondrial oxidative phosphorylation for the treatment of ovarian cancer
使用化学生物学方法开发用于治疗卵巢癌的新型线粒体氧化磷酸化抑制剂
- 批准号:
10260915 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Developing non-human primate models for ovarian cancer
开发卵巢癌的非人类灵长类动物模型
- 批准号:
10044729 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Ovarian cancer diagnosis by monitoring immune cell bound MUC16 (CA125)
通过监测免疫细胞结合 MUC16 (CA125) 诊断卵巢癌
- 批准号:
8123435 - 财政年份:2010
- 资助金额:
-- - 项目类别:
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