Quantitative molecular MR-PET imaging of glycolysis in glioblastoma
胶质母细胞瘤糖酵解的定量分子 MR-PET 成像
基本信息
- 批准号:10638006
- 负责人:
- 金额:$ 61.9万
- 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:2023-02-10 至 2028-02-29
- 项目状态:未结题
- 来源:
- 关键词:AcidityAminesBehaviorBioenergeticsBiologicalBiopsyBiopsy SpecimenBlood flowBrainBrain NeoplasmsCell DensityCellsChemicalsClinicalCollaborationsDataDiffusionDiffusion Magnetic Resonance ImagingDiseaseEarly DiagnosisEcho-Planar ImagingEpidermal Growth Factor ReceptorEpidermal Growth Factor Receptor Tyrosine Kinase InhibitorExhibitsGLUT-3 proteinGene ExpressionGenetic TranscriptionGlioblastomaGlucoseGlycolysisHumanImageImage Guided BiopsyImmunohistochemistryInferiorIsocitrate DehydrogenaseLactic acidMagnetic Resonance ImagingMalignant NeoplasmsMeasurementMeasuresMedicalMetabolicMetabolic PathwayMolecularMonitorMutateMutationOncogenesOncogenicOxidative PhosphorylationOxygenOxygen ConsumptionPathway interactionsPatientsPentosephosphate PathwayPerfusionPhase I Clinical TrialsPhosphorylationPositron-Emission TomographyPredispositionProductionReceptor InhibitionRecurrenceSignal TransductionSignal Transduction PathwaySpecificityTP53 geneTechniquesTherapeuticTissuesTumor Suppressor ProteinsTumor TissueWorkbehavioral responsebrain tissuecandidate markerclinical imagingdesignextracellularfluorodeoxyglucosefluorodeoxyglucose positron emission tomographyglucose metabolismglucose uptakehexokinaseimaging biomarkerimaging systemindexinginsightnovelpatient derived xenograft modelperfusion imagingpharmacologicprospectiveprotein expressionresponsestandard of caretargeted treatmenttheoriestherapeutic targettranscriptome sequencingtreatment responsetumoruptake
项目摘要
PROJECT SUMMARY/ABSTRACT
Glioblastoma (GBM) is a uniformly fatal disease with very few clinical options. Recent work from our lab and
others indicates that abnormal signal transduction, originating from oncogenic drivers and loss of tumor
suppressors, results in heightened glycolytic flux in GBM. Correspondingly, inhibition of oncogenic signaling or
downstream signal transduction pathways using targeted therapies can induce rapid and specific alterations in
glycolysis, resulting in reduced tumor energetic and biosynthetic capacity, making the tumor vulnerable to further
therapeutic exploitation. Such an imaging biomarker would be useful for providing unique insight into glucose
metabolism and behavior, allowing clinicians to identify and ultimately exploit potential therapeutic vulnerabilities.
While 18F-fluorodeoxyglucose (18F-FDG) PET imaging is an obvious candidate biomarker for imaging glycolysis
as it is used ubiquitously in other cancers to monitor tumor metabolic behavior and treatment response, 18F-FDG
PET uptake is a measure of overall glucose utilization, not specifically glycolysis. To overcome this ambiguity
and provide more specificity for glycolysis, we propose combining standard of care 18F-FDG PET with fast pH
and oxygen-sensitive amine chemical exchange saturation transfer spin-and-gradient-echo echoplanar imaging
(CEST-SAGE-EPI), a molecular MRI technique that can estimate both acidity from lactic acid and oxygen
utilization, as well as perfusion and diffusion MRI to account for the effects of blood flow/volume and cell density.
We hypothesize combining 18F-FDG PET, amine CEST-SAGE-EPI, perfusion MRI, and diffusion MRI to create
a “glycolytic index”, or GI, will allow us to accurately quantify glycolytic flux within heterogeneous tumors on
widely available clinical imaging systems for use in studying glucose metabolism and response to a variety of
targeted therapies in human GBM.
The current study will investigate the central hypotheses that: (Aim 1) biopsied tumor tissue undergoing high
levels of glycolysis via RNA expression, protein expression, and bioenergetics analyses can be reliably detected,
correlates with direct measure of tissue pH, and strongly associated with a “glycolytic index” created by
combining 18F-FDG PET, amine CEST-SAGE-EPI, perfusion MRI and diffusion MRI; and (Aim 2) changes in
this “glycolytic index” can be detected by perturbing glucose metabolism using a brain penetrant EGFR inhibitor
specifically designed for GBM and correlate with pharmacologic alterations and alterations in glycolytic signaling
in patients with IDH wild-type, EGFR amplified GBM.
项目摘要/摘要
胶质母细胞瘤(GBM)是一种几乎没有临床选择的致命疾病。我们实验室的最新工作和
其他研究表明,由致癌驱动因素和肿瘤丢失引起的异常信号转导
抑制物,导致基底膜糖酵解通量增加。相应地,抑制致癌信号或
使用靶向治疗的下游信号转导通路可以诱导快速和特异性的改变
糖酵解,导致肿瘤能量和生物合成能力降低,使肿瘤容易进一步
治疗性利用。这种成像生物标记物将有助于提供对葡萄糖的独特洞察
新陈代谢和行为,使临床医生能够识别并最终利用潜在的治疗脆弱性。
而18F-脱氧葡萄糖(18F-FDG)PET显像是糖酵解显像的一个明显的候选生物标志物
由于它在其他癌症中普遍用于监测肿瘤的代谢行为和治疗反应,18F-FDG
PET摄取量是衡量整体葡萄糖利用的指标,而不是专门的糖酵解。为了克服这种模棱两可
并为糖酵解提供了更高的特异性,我们建议将护理标准18F-FDG PET与快速pH相结合
氧敏胺化学交换饱和转移自旋梯度回波平面成像
(CEST-SAGE-EPI),一种可以根据乳酸和氧气估计酸度的分子磁共振技术
使用,以及灌注和弥散磁共振,以说明血流量/体积和细胞密度的影响。
我们假设结合18F-FDGPET、胺CEST-SAGE-EPI、灌注MRI和弥散磁共振成像来创建
“糖酵解指数”,或称GI,将使我们能够准确地量化不同类型肿瘤内的糖酵解流量。
广泛可用的临床成像系统,用于研究葡萄糖代谢和对各种
人肾小球系膜的靶向治疗。
目前的研究将调查以下中心假设:(目标1)活检的肿瘤组织经历高密度脂蛋白。
可以可靠地检测通过RNA表达、蛋白质表达和生物能量学分析的糖酵解水平,
与组织酸碱度的直接测量相关,与由以下因素产生的糖酵解指数密切相关
结合18F-FDG PET、胺CEST-SAGE-EPI、灌注MRI和弥散磁共振成像;(AIM 2)
这种“糖酵解指数”可以通过使用脑部渗透性EGFR抑制剂干扰糖代谢来检测。
专为GBM设计,与药物改变和糖酵解信号改变相关
在IDH野生型患者中,EGFR扩增了GBM。
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)
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Benjamin M. Ellingson其他文献
Independent histological validation of MR-derived radio-pathomic maps of tumor cell density using image-guided biopsies in human brain tumors
- DOI:
10.1007/s11060-025-05105-x - 发表时间:
2025-06-21 - 期刊:
- 影响因子:3.100
- 作者:
Gianluca Nocera;Francesco Sanvito;Jingwen Yao;Sonoko Oshima;Samuel A. Bobholz;Ashley Teraishi;Catalina Raymond;Kunal Patel;Richard G. Everson;Linda M. Liau;Jennifer Connelly;Antonella Castellano;Pietro Mortini;Noriko Salamon;Timothy F. Cloughesy;Peter S. LaViolette;Benjamin M. Ellingson - 通讯作者:
Benjamin M. Ellingson
Radiogenomics and Imaging Phenotypes in Glioblastoma: Novel Observations and Correlation with Molecular Characteristics
- DOI:
10.1007/s11910-014-0506-0 - 发表时间:
2014-11-20 - 期刊:
- 影响因子:5.200
- 作者:
Benjamin M. Ellingson - 通讯作者:
Benjamin M. Ellingson
Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence
- DOI:
10.1007/s11060-025-05094-x - 发表时间:
2025-06-03 - 期刊:
- 影响因子:3.100
- 作者:
Catalina Raymond;Jingwen Yao;Alfredo L. Lopez Kolkovsky;Thorsten Feiweier;Bryan Clifford;Heiko Meyer;Xiaodong Zhong;Fei Han;Nicholas S. Cho;Francesco Sanvito;Sonoko Oshima;Noriko Salamon;Linda M. Liau;Kunal S. Patel;Richard G. Everson;Timothy F. Cloughesy;Benjamin M. Ellingson - 通讯作者:
Benjamin M. Ellingson
Advanced imaging characterization of post-chemoradiation glioblastoma stratified by diffusion MRI phenotypes known to predict favorable anti-VEGF response
- DOI:
10.1007/s11060-025-05019-8 - 发表时间:
2025-04-14 - 期刊:
- 影响因子:3.100
- 作者:
Francesco Sanvito;Irina Kryukov;Jingwen Yao;Ashley Teraishi;Catalina Raymond;John Gao;Cole Miller;Phioanh L. Nghiemphu;Albert Lai;Linda M. Liau;Kunal Patel;Richard G. Everson;Blaine S.C. Eldred;Robert M. Prins;David A. Nathanson;Noriko Salamon;Timothy F. Cloughesy;Benjamin M. Ellingson - 通讯作者:
Benjamin M. Ellingson
Structural changes in functional gastrointestinal disorders
功能性胃肠疾病的结构变化
- DOI:
10.1038/nrgastro.2013.39 - 发表时间:
2013-03-19 - 期刊:
- 影响因子:51.000
- 作者:
Emeran A. Mayer;Kirsten Tillisch;Benjamin M. Ellingson - 通讯作者:
Benjamin M. Ellingson
Benjamin M. Ellingson的其他文献
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{{ truncateString('Benjamin M. Ellingson', 18)}}的其他基金
Cell invasion, motility, and proliferation level estimate maps in gliomas
神经胶质瘤中的细胞侵袭、运动和增殖水平估计图
- 批准号:
8283486 - 财政年份:2012
- 资助金额:
$ 61.9万 - 项目类别:
Spinal and Cerebral biomarkers for measuring disease progression and prognosis in chronic spinal cord injury
用于测量慢性脊髓损伤疾病进展和预后的脊髓和大脑生物标志物
- 批准号:
10368062 - 财政年份:2012
- 资助金额:
$ 61.9万 - 项目类别:
Cell invasion, motility, and proliferation level estimate maps in gliomas
神经胶质瘤中的细胞侵袭、运动和增殖水平估计图
- 批准号:
8546317 - 财政年份:2012
- 资助金额:
$ 61.9万 - 项目类别:
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