Molecular Mechanisms by which Statins Prevent and Reverse Hepatocellular Carcinoma
他汀类药物预防和逆转肝细胞癌的分子机制
基本信息
- 批准号:10856787
- 负责人:
- 金额:$ 34.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-19 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:Biological MarkersBloodCancer EtiologyCellular Metabolic ProcessCholestasisCholesterolCirrhosisClinicalClinical ResearchClinical TrialsCohort StudiesCollaborationsCompensationCryptogenic cirrhosisCytometryDiagnosticEtiologyFatty AcidsFibrosisGastroenterologyGlucoseGlutamineHepaticHepatologyHomeostasisHumanHydroxymethylglutaryl-CoA Reductase InhibitorsImmuneImmune systemImmunologic MarkersImmunologic SurveillanceInflammationKnowledgeLaboratoriesLeadLettersLibrariesLipidsLiver CirrhosisLiver diseasesMYC geneMalignant NeoplasmsMass Spectrum AnalysisMediatingMedical OncologyMeta-AnalysisMetabolicMetabolic PathwayMetabolismModelingMolecularNational Institute of Diabetes and Digestive and Kidney DiseasesNatureOncologyOxidative StressOxidoreductasePathogenesisPathway interactionsPatientsPharmaceutical PreparationsPhosphorylationPreventionPreventivePreventive therapyPrimary carcinoma of the liver cellsProliferatingPropertyPublishingReportingResearchResearch PersonnelRiskRisk ReductionSamplingSeriesSignal TransductionSystemTetanus Helper PeptideTherapeutic EffectTransgenic MiceTransgenic ModelTransgenic OrganismsTravelTumor Suppressor GenesUnited States National Institutes of HealthWorkanti-canceranticancer researchatorvastatinbiomarker identificationcancer therapycarcinogenesiscytokineepidemiology studyfightingimaging agentimprovedinhibitorinsightionizationlipid biosynthesisliver cancer modelmass spectrometric imagingmembermetabolomicsmortalitymouse modelnon-alcoholic fatty liver diseasenonalcoholic steatohepatitisnovelnovel therapeuticspatient derived xenograft modelpre-clinicalpreventprogramsprospectiverosuvastatinsingle-cell RNA sequencingtumortumor immunologytumor initiationtumor progressiontumorigenesis
项目摘要
Project Summary/Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide. HMG-CoA
reductase (HMGCR) inhibitors, statins, show high potential in the prevention and treatment of cancer including
HCC. We will investigate the mechanism by which statins fight against HCC and discovering the biomarkers to
predict the therapeutic effects. Through our previously published work, we have used our conditional transgenic
mouse models of HCC to identify a novel pathway that statins suppress MYC signaling to execute the anti-cancer
properties. Also, we identified that MYC rewires metabolic pathways to promote fatty acid synthesis in addition
to glucose and glutamine pathways. Inhibition of fatty acid synthesis by TOFA elicits dramatic regression of MYC
driven tumors and the efficacy correlates to MYC level. Statin (e.g., Atorvastatin) blocks MYC phosphorylation in
our MYC-driven HCC model and inhibit tumor initiation and progression (see our Preliminary Results). We
hypothesize that the MYC pathway is suppressed by statins and this is a mechanism by which statins can prevent
and treat HCC, both through direct anti-oncogene effects as well as by restoring immune surveillance. We will
determine the mechanisms by which statins protect against HCC, we propose to 1) evaluate the anti-cancer
efficacy of statins at different progression stages of MYC driven HCC (before MYC induction, early stage of
tumorigenesis, late stage of HCC) and the condition of association with NASH; 2) identify specific metabolism
pathways regulated by statin in MYC-HCC; 3) define the changes of immune system and specific
effectors/cytokines influenced by statin; 4) discover the biomarkers that can predict the therapeutic effect of statin
in prevention of HCC. Our team includes expertise in Medical Oncology, the MYC oncogene and Tumor
Immunology (Felsher), Gastroenterology and HCC (Dhanasekaran) and Hepatology and liver disease (Verna
and Brown). Dr. Verna and Dr. Brown are members of the Liver Cirrhosis Network (LCN) clinical program (RAF-
CA-23-023) and are currently investigating the effect of lipid lowing medications (Statins) in patients with
compensated NASH, ALD, cholestatic and cryptogenic cirrhosis. The LCN study provides us with a unique
opportunity to identify mechanisms through use of our preclinical transgenic mouse model of HCC that can be
evaluated using human clinical samples to available to us through the LCN. Our work will help identify lead to
the identification of the mechanisms by which statins can block HCC as well as identify biomarkers that can
predict when these agents are most likely to be useful in preventing HCC.
项目摘要/摘要
肝细胞癌(HCC)是全球与癌症相关死亡率的主要原因。 HMG-COA
还原酶(HMGCR)抑制剂,他汀类药物在预防和治疗癌症中表现出很高的潜力
HCC。我们将调查他汀类药物与HCC作战并发现生物标志物的机制
预测治疗作用。通过先前发表的工作,我们使用了条件转基因
HCC的鼠标模型以识别汀类药物抑制MYC信号以执行抗癌的新途径
特性。另外,我们确定MYC还会重新促进代谢途径,以促进脂肪酸合成。
葡萄糖和谷氨酰胺途径。通过豆腐抑制脂肪酸合成引起MYC的急剧回归
驱动的肿瘤和功效与MYC水平相关。他汀类药物(例如atorvastatin)阻止MYC磷酸化
我们的MYC驱动的HCC模型并抑制肿瘤的启动和进展(请参阅我们的初步结果)。我们
假设MYC途径被他汀类药物抑制,这是他汀类药物可以防止的机制
并通过直接抗癌基因效应以及恢复免疫监测来治疗HCC。我们将
确定他汀类药物免受HCC的保护的机制,我们建议1)评估抗癌者
他汀类药物在MYC驱动的HCC的不同进展阶段的功效(MYC归纳之前,早期的早期阶段
肿瘤发生,HCC后期)和与NASH的关联状况; 2)确定特定的新陈代谢
MYC-HCC中他汀类药物调节的途径; 3)定义免疫系统的变化和特定的变化
汀类药物影响的效应子/细胞因子; 4)发现可以预测他汀类药物治疗作用的生物标志物
预防HCC。我们的团队包括医学肿瘤学,MYC癌基因和肿瘤方面的专业知识
免疫学(Felsher),胃肠病学和HCC(DHANASEKARAN)和肝病(Verna)
和棕色)。 Verna博士和Brown博士是肝硬化网络(LCN)临床计划的成员(RAF-
CA-23-023),目前正在研究脂质降低药物(他汀类药物)的影响
补偿的纳什,ALD,胆汁淤积和隐形肝硬化。 LCN研究为我们提供了独特的
通过使用我们可以使用的临床前转基因小鼠模型来识别机制的机会
使用人类临床样本通过LCN进行评估。我们的工作将有助于确定导致
他汀类药物可以阻止HCC的机制的识别以及可以识别可以识别的生物标志物
预测这些药物何时最有可能在预防HCC中有用。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
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DEAN W FELSHER的其他文献
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{{ truncateString('DEAN W FELSHER', 18)}}的其他基金
Targeting the MYC Pathway for the Treatment of Cancer
靶向 MYC 通路治疗癌症
- 批准号:
10463750 - 财政年份:2020
- 资助金额:
$ 34.19万 - 项目类别:
Targeting the MYC Pathway for the Treatment of Cancer
靶向 MYC 通路治疗癌症
- 批准号:
10693915 - 财政年份:2020
- 资助金额:
$ 34.19万 - 项目类别:
Targeting the MYC Pathway for the Treatment of Cancer
靶向 MYC 通路治疗癌症
- 批准号:
10256047 - 财政年份:2020
- 资助金额:
$ 34.19万 - 项目类别:
Targeting the MYC Pathway for the Treatment of Cancer
靶向 MYC 通路治疗癌症
- 批准号:
10053533 - 财政年份:2020
- 资助金额:
$ 34.19万 - 项目类别:
(PQ7)Multi-scale Analysis of Tumor Microenvironment Heterogeneity
(PQ7)肿瘤微环境异质性多尺度分析
- 批准号:
9378269 - 财政年份:2017
- 资助金额:
$ 34.19万 - 项目类别:
Cancer-Translational Nanotechnology Training Program (Cancer-TNT)
癌症转化纳米技术培训计划(Cancer-TNT)
- 批准号:
8934256 - 财政年份:2015
- 资助金额:
$ 34.19万 - 项目类别:
Cancer-Translational Nanotechnology Training Program (Cancer-TNT)
癌症转化纳米技术培训计划(Cancer-TNT)
- 批准号:
9443842 - 财政年份:2015
- 资助金额:
$ 34.19万 - 项目类别:
Cancer-Translational Nanotechnology Training Program (Cancer-TNT)
癌症转化纳米技术培训计划(Cancer-TNT)
- 批准号:
9321153 - 财政年份:2015
- 资助金额:
$ 34.19万 - 项目类别:
Prognostic Metabolic Signatures of Cancers Through Mass Spectrometry Imaging
通过质谱成像预测癌症的代谢特征
- 批准号:
8673796 - 财政年份:2014
- 资助金额:
$ 34.19万 - 项目类别:
Modeling and Predicting Therapeutic Resistance of Cancer
癌症治疗耐药性的建模和预测
- 批准号:
8766569 - 财政年份:2014
- 资助金额:
$ 34.19万 - 项目类别:
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