Non-invasive staging of Metastasis by Precision MRI
通过精密 MRI 对转移进行无创分期
基本信息
- 批准号:10552215
- 负责人:
- 金额:$ 95.42万
- 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:2022-09-23 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffinityBindingBiodistributionBiopsyBloodCaliberCanis familiarisCellsClinicalCollagenColorectal CancerContrast MediaDataDetectionDisease ProgressionDoseDrug KineticsEarly DiagnosisExcisionExhibitsExtracellular Matrix ProteinsExtrahepaticFibroblastsFormulationGrantHepatic Stellate CellHeterogeneityHistologicImageInvestigational New Drug ApplicationIonizing radiationIonsKineticsLeadLesionLiverLiver FibrosisLocationLysineMagnetic Resonance ImagingMalignant NeoplasmsMalignant neoplasm of pancreasMediatingMedicalMetalsMetastatic Neoplasm to the LiverMethodologyMethodsModelingModificationMolecularMolecular TargetMusN-terminalNeoplasm MetastasisOperative Surgical ProceduresOrganOxidasesPancreatectomyPancreatic Ductal AdenocarcinomaPatientsPermeabilityPharmaceutical PreparationsPhaseProcessProteinsQuality of lifeRadiologic FindingRecurrenceReportingResectableResolutionRiskSafetySampling ErrorsSensitivity and SpecificitySeriesSignal TransductionSiteSmall Business Innovation Research GrantSolubilitySpecificityStagingSystemic TherapyTechnologyTestingTimeTissuesToxic effectToxicokineticsUveal MelanomaValidationX-Ray Computed Tomographybaseclinical careclinical imagingclinically significantcolorectal cancer metastasiscontrast enhancedcontrast imagingcrosslinkcurative treatmentsdetection limitearly phase clinical trialhistological imageimaging approachimaging capabilitiesimaging modalityimmunogenicityimprovedin vivoinnovationliver imagingmetal poisoningmolecular arraymolecular markermortalitymouse modelnon-alcoholic fatty liver diseasenovelpreclinical studysafety studysoft tissuetargeted agenttumortumor heterogeneitytumor microenvironmenttumor xenograftultrasound
项目摘要
PROJECT SUMMARY/ABSTRACT
This SBIR application will develop an improved contrast agent for precision staging through early and accurate
detection of pancreatic ductal adenocarcinoma (PDAC) liver metastasis. We have created an innovative platform
technology using a new class of protein-based MRI contrast agents (ProCAs) for contrast-enhanced MRI. We
have developed an effective approach to generate protein contrast agents against an array of molecular
biomarkers including collagen I (ProCA32.collagen). This extracellular matrix protein is highly expressed in the
tumor microenvironment and its expression levels and crosslinking increase upon
progression. ProCA32.collagen exhibits 10- to 50-fold increase in both r1 and r2 relaxivities, compared to
clinically-approved Gd3+ contrast agents, resulting in exceptional imaging capability that can discern
heterogeneous tissue signals via a dual MR imaging methodology. ProCA32.collagen has strong collagen
binding affinity, enables early detection of small liver metastases <0.2 mm and allows for mapping tumor
heterogeneity in several murine xenograft tumor models; a 100-fold improvement in the detection limit
over clinical contrast agents. ProCA32.collagen is expected to have a low risk related to metal toxicity due to its
unprecedented metal binding selectivity and kinetic stability, prolonged blood retention and adequate
biodistribution, which permits high quality imaging at low doses. This proposal will test the hypothesis that a non-
invasive, in vivo MRI for accurate staging of PDAC through detection of subclinical liver metastases can be
achieved by further optimizing the collagen targeted ProCA32.collagen+ contrast agent. This series of preclinical
studies will provide data such as formulation and safety profile needed to submit an FDA Investigational New
Drug (IND) application for an early phase clinical trial. This application will improve detection of subclinical
metastasis and have broad impact for PDAC.
项目概要/摘要
该 SBIR 应用将开发一种改进的造影剂,用于通过早期和准确的精确分期
检测胰腺导管腺癌(PDAC)肝转移。我们创建了一个创新平台
使用新型蛋白质 MRI 造影剂 (ProCA) 进行对比增强 MRI 的技术。我们
开发了一种有效的方法来生成针对一系列分子的蛋白质造影剂
生物标志物,包括胶原蛋白 I (ProCA32.collagen)。这种细胞外基质蛋白在
肿瘤微环境及其表达水平和交联增加
进展。与相比,ProCA32.collagen 的 r1 和 r2 松弛度均增加 10 至 50 倍
临床批准的 Gd3+ 造影剂,具有卓越的成像能力,可以辨别
通过双 MR 成像方法发出异质组织信号。 ProCA32.collagen 具有强效胶原蛋白
结合亲和力,能够早期检测 <0.2 毫米的小肝转移瘤,并能够绘制肿瘤图
几种小鼠异种移植肿瘤模型的异质性;检测限提高 100 倍
超过临床造影剂。 ProCA32.collagen 预计与金属毒性相关的风险较低,因为它
前所未有的金属结合选择性和动力学稳定性、延长的血液保留和足够的
生物分布,可在低剂量下实现高质量成像。该提案将检验以下假设:非
侵入性体内 MRI 通过检测亚临床肝转移来准确对 PDAC 进行分期
通过进一步优化胶原蛋白靶向 ProCA32.collagen+ 造影剂来实现。本系列临床前
研究将提供提交 FDA 研究报告所需的配方和安全概况等数据
早期临床试验的药物(IND)申请。该应用程序将改善亚临床的检测
转移并对 PDAC 产生广泛影响。
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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Jenny J. Yang其他文献
Development of an α-synuclein positron emission tomography tracer for imaging synucleinopathies
开发用于突触核蛋白病成像的 α-突触核蛋白正电子发射断层扫描示踪剂
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:64.5
- 作者:
Jie Xiang;Youqi Tao;Yiyuan Xia;Shilin Luo;Qinyue Zhao;Bowei Li;Xiaoqian Zhang;Yunpeng Sun;Wencheng Xia;Mingming Zhang;S. Kang;E. Ahn;Xia Liu;F. Xie;Y. Guan;Jenny J. Yang;L. Bu;Shengxi Wu;Xiaochuan Wang;Xuebing Cao;Cong Liu;Zhentao Zhang;Dan Li;K. Ye - 通讯作者:
K. Ye
Capteurs d'analytes et procede de construction de motifs de liaison d'analyte
分析物捕获和分析物联系图案构建过程
- DOI:
- 发表时间:
2005 - 期刊:
- 影响因子:0
- 作者:
Jenny J. Yang - 通讯作者:
Jenny J. Yang
ZikaHack 2016: A digital disease detection competition
ZikaHack 2016:数字疾病检测竞赛
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
D. Adam;J. Jonnagaddala;Dan Han;Sean Batongbacal;Luan Almeida;Jing Z. Zhu;Jenny J. Yang;Jumail M. Mundekkat;S. Badman;A. Chughtai;C. Macintyre - 通讯作者:
C. Macintyre
Site-specific modification of calmodulin Ca²(+) affinity tunes the skeletal muscle ryanodine receptor activation profile.
钙调蛋白 Ca2(+) 亲和力的位点特异性修饰可调节骨骼肌兰尼碱受体激活谱。
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:4.1
- 作者:
Jie Jiang;Yubin Zhou;Jin Zou;Yanyi Chen;P. Patel;Jenny J. Yang;E. Balog - 通讯作者:
E. Balog
Recent advances in understanding the extracellular calcium-sensing receptor [version 1; peer review: 3 approved]
了解细胞外钙敏感受体的最新进展 [版本 1;
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
M. Colella;A. Gerbino;A. Hofer;S. Curci;Jenny J. Yang;Gerda E. Breitwieser;Katie Leach;139. Wang - 通讯作者:
139. Wang
Jenny J. Yang的其他文献
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{{ truncateString('Jenny J. Yang', 18)}}的其他基金
Precision MRI with a Novel Protein Contrast Agent for Early Detection and Staging of Lung Fibrosis
使用新型蛋白质造影剂进行精密 MRI,用于肺纤维化的早期检测和分期
- 批准号:
10760794 - 财政年份:2023
- 资助金额:
$ 95.42万 - 项目类别:
Pre-clinical Validation of A Novel Protein Drug Candidate for ASH and NASH Treatment
用于 ASH 和 NASH 治疗的新型蛋白质候选药物的临床前验证
- 批准号:
10662418 - 财政年份:2021
- 资助金额:
$ 95.42万 - 项目类别:
Development of a Novel MRI Contrast Agent for Early Detection of Alcoholic Steatohepatitis
开发用于早期检测酒精性脂肪性肝炎的新型 MRI 造影剂
- 批准号:
10065310 - 财政年份:2020
- 资助金额:
$ 95.42万 - 项目类别:
Development of a Novel MRI Contrast Agent for Early Detection of Alcoholic Steatohepatitis
开发用于早期检测酒精性脂肪性肝炎的新型 MRI 造影剂
- 批准号:
10265536 - 财政年份:2020
- 资助金额:
$ 95.42万 - 项目类别:
Multi-color Mapping of Cancer Molecular Signatures and Tumor microenvironment
癌症分子特征和肿瘤微环境的多色绘图
- 批准号:
10169065 - 财政年份:2019
- 资助金额:
$ 95.42万 - 项目类别:
Multi-color Mapping of Cancer Molecular Signatures and Tumor microenvironment
癌症分子特征和肿瘤微环境的多色绘图
- 批准号:
9980316 - 财政年份:2019
- 资助金额:
$ 95.42万 - 项目类别:
Multi-color Mapping of Cancer Molecular Signatures and Tumor microenvironment
癌症分子特征和肿瘤微环境的多色绘图
- 批准号:
10203876 - 财政年份:2019
- 资助金额:
$ 95.42万 - 项目类别:
Multi-color Mapping of Cancer Molecular Signatures and Tumor microenvironment
癌症分子特征和肿瘤微环境的多色绘图
- 批准号:
9806663 - 财政年份:2019
- 资助金额:
$ 95.42万 - 项目类别:
Enable Early and Sensitive In Vivo Detection of Liver Metastasis by Protein-based
通过基于蛋白质的方法实现肝转移的早期、灵敏的体内检测
- 批准号:
8714923 - 财政年份:2014
- 资助金额:
$ 95.42万 - 项目类别:
Designing Magnetic Resonance Protein-based Contrast Agents with High Relaxivity
设计具有高弛豫率的磁共振蛋白质造影剂
- 批准号:
8850096 - 财政年份:2007
- 资助金额:
$ 95.42万 - 项目类别:
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