A Quantitative PET/CT Research Resource for Co-Clinical Imaging of Lung Cancer Therapies
用于肺癌治疗联合临床成像的定量 PET/CT 研究资源
基本信息
- 批准号:10301566
- 负责人:
- 金额:$ 66.03万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-15 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAnimal ModelAtypical lymphocyteCancer EtiologyCancer PatientCessation of lifeClinicalClinical ResearchClinical TrialsDevelopmentDiagnosisDigital Imaging and Communications in MedicineFutureGenetically Engineered MouseGleanGoalsIL8RB geneImageImmune checkpoint inhibitorImmunotherapyIndustry StandardInfiltrationInformaticsLinkLung AdenocarcinomaMalignant - descriptorMalignant neoplasm of lungMedical ImagingMetadataMethodsModelingMusNon-Small-Cell Lung CarcinomaOncologyOutcomePD-1/PD-L1PET/CT scanPhasePositron-Emission TomographyProtocols documentationResourcesSiteSquamous Cell Lung CarcinomaStructureTestingTherapeuticWorkanimal imaginganti-PD-1anti-PD-L1 therapycancer imagingcancer therapycheckpoint therapyclinical imagingco-clinical trialdata resourcedata sharingdigitalearly detection biomarkershuman diseaseimaging informaticsimaging modalityimprovedimproved outcomeinnovationmembermonocytemouse modelneutrophilnoveloncology trialopen dataopen sourcepre-clinicalpreclinical imagingpreclinical studyprogramsquantitative imagingrecruitresponsesuccesstumortumor microenvironmentweb-accessible
项目摘要
Project Abstract
The specific goal of this proposal is to develop and optimize methods for quantitative pre-clinical PET imaging
for immune checkpoint inhibitor (ICI) therapies in non-small cell lung cancer (NSCLC). We will leverage an
existing co-clinical trial using our genetically-engineered mouse model (GEMM) of lung adenocarcinoma to
develop, test and implement the methods and populate a web-accessible research resource. This web-
accessible research resource will in turn leverage recent developments in quantitative cancer imaging
informatics using the industry-standard DICOM format. In response to PAR-18-841 there are four components
to our proposal: (1) appropriate models, (2) a co-clinical trial including a therapeutic goal, (3) quantitative
preclinical and clinical PET imaging, and (4) an innovative quantitative cancer imaging informatics platform.
Our longer term goal is to improve outcomes for NSCLC patients, as lung cancer is still the leading cause of
cancer deaths worldwide. Although ICI therapy has been a tremendous clinical benefit for some NSCLC
patients, only ~20% of NSCLC patients respond to anti-PD1/PDL1 therapy. Using PET co-clinical imaging to
improve ICI therapies for NSCLC is challenged by a lack of suitable informatics methods to capture and track
necessary meta-information, appropriate response criteria for preclinical imaging, which in turn is a
consequence in part of the lack of quantitative preclinical PET imaging methods that are linked to quantitative
clinical PET imaging methods. We will address these challenges with three Specific Aims:
1, Develop and optimize quantitative preclinical quantitative imaging methods and protocols. These methods
will involve novel long-lived phantoms that can cross-calibrate multiple preclinical and clinical PET scanners.
This will be tested with partner members of the Co-Clinical Imaging Research Resources Program.
2. Implement the optimized methods in our co-clinical trial of ICI treatment of NSCLC with a GEMM lung
adenocarcinoma model and a GEMM model lung squamous cell carcinoma. From this we will evaluate how the
information gleaned from the pre-clinical and clinical studies can be used to inform future pre-clinical studies in
terms of optimized mouse imaging protocols and response criteria.
3. Share data and resources on co-clinical trials using quantitative PET imaging using a web-accessible open
science approach (open source + open data) by extending the DICOM standard for pre-clinical small animal
imaging with DICOM-compliant structures that provide necessary quantitative meta-data.
These methods and resources developed during this project will be distributed to accelerate the development
of needed effective cancer therapies by improving the utility of early-phase oncology trials using co-clinical
studies with PET imaging. In addition, we will determine, and potentially improve, the utility of PET imaging as
a biomarker for early assessment of response in co-clinical immunotherapy studies by using an appropriate
mouse model.
项目摘要
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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A McGarry Houghton其他文献
A McGarry Houghton的其他文献
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{{ truncateString('A McGarry Houghton', 18)}}的其他基金
Neutrophil derived proteinases abolish the IFNG signature in NSCLC
中性粒细胞衍生的蛋白酶消除 NSCLC 中的 IFNG 特征
- 批准号:
10717448 - 财政年份:2023
- 资助金额:
$ 66.03万 - 项目类别:
Anxa2 drives the function of immune suppressive neutrophils in lung cancer
Anxa2 驱动肺癌中免疫抑制性中性粒细胞的功能
- 批准号:
10310981 - 财政年份:2021
- 资助金额:
$ 66.03万 - 项目类别:
A Quantitative PET/CT Research Resource for Co-Clinical Imaging of Lung Cancer Therapies
用于肺癌治疗联合临床成像的定量 PET/CT 研究资源
- 批准号:
10700944 - 财政年份:2021
- 资助金额:
$ 66.03万 - 项目类别:
Liquid biopsy of the lung to profile lung cancer
肺部液体活检以分析肺癌
- 批准号:
10053675 - 财政年份:2020
- 资助金额:
$ 66.03万 - 项目类别:
Liquid biopsy of the lung to profile lung cancer
肺部液体活检以分析肺癌
- 批准号:
10259860 - 财政年份:2020
- 资助金额:
$ 66.03万 - 项目类别:
Liquid biopsy of the lung to profile lung cancer
肺部液体活检以分析肺癌
- 批准号:
10472743 - 财政年份:2020
- 资助金额:
$ 66.03万 - 项目类别:
Liquid biopsy of the lung to profile lung cancer
肺部液体活检以分析肺癌
- 批准号:
10601449 - 财政年份:2020
- 资助金额:
$ 66.03万 - 项目类别:
Project 1: Targeting the Neutrophil Lineage To Enhance Immune Checkpoint Inhibitor Efficacy in NSCLC
项目1:靶向中性粒细胞谱系以增强非小细胞肺癌中免疫检查点抑制剂的功效
- 批准号:
10174872 - 财政年份:2019
- 资助金额:
$ 66.03万 - 项目类别:
Tumor-specific autoantibodies for SCLC early detection
用于 SCLC 早期检测的肿瘤特异性自身抗体
- 批准号:
10299616 - 财政年份:2019
- 资助金额:
$ 66.03万 - 项目类别:
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