In vivo imaging of molecular targets
分子靶标的体内成像
基本信息
- 批准号:6563982
- 负责人:
- 金额:$ 29.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-01-01 至 2002-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Description (provided by applicant)
One of the challenges facing oncology in the 21st century is the
individualization of patient care. Tumors, even of the same type, have a wide
range of presentation and a wide range of responses to both standard and novel
therapies. Genotyping prior to therapy is showing great promise in allowing a
choice of therapies for individual patients. After treatment has begun,
however, methods to non-invasively detect the early response (or non-response)
of individual tumors to therapy would be important to the overall goal of
improved care for the individual patient. Hence, responders could be continued
on successful therapy, and non-responders could be discontinued on ineffective
and toxic therapy and moved to alternative therapies. The overall hypothesis
of this project thus states that non-invasive imaging modalities can monitor
the response of individual patients to therapy. In the context of the current
proposal, non-invasive imaging can help develop and optimize novel therapeutic
agents through the use of surrogate endpoints that are highly sensitive to the
molecular target. Imaging methods are currently available which allow end-point
assessment of therapeutic efficacy and these will be useful in assessing
treatment protocols in pre-clinical and clinical settings. Additional imaging
and spectroscopic methods will allow more direct assessment of proximal
molecular consequences of drug action, and these will be developed. The
specific aims of this Project are therefore:
4.1
To monitor apoptosis in vivo using two non-invasive imaging modalities,
Technetium-labeled Annexin V Imaging and diffusion Magnetic Resonance Imaging,
which are both in clinical trials. Apoptosis is a common endpoint for all of
the therapies used in this program. This will be performed in both animal
models and in human patients.
4.2
In collaboration with project 3 using SU-5416 and thalidomide, to monitor
therapeutic response to anti-angiogenic drugs using dynamic contrast-enhanced
MR Imaging (DCE-MRI). This will be performed in both animal models and in
human patients.
4.3
In collaboration with project I using DPIEL and Wortmannin, to use non-invasive
magnetic resonance spectroscopy (MRS) to characterize the metabolic
molecular signatures of tumor models before and after therapy with inhibitors
of signal transduction. This will be performed in both animal models and in
human patients.
描述(由申请人提供)
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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Robert J. Gillies其他文献
Causes, consequences, and therapy of tumors acidosis
- DOI:
10.1007/s10555-019-09792-7 - 发表时间:
2019-03-26 - 期刊:
- 影响因子:8.700
- 作者:
Smitha R. Pillai;Mehdi Damaghi;Yoshinori Marunaka;Enrico Pierluigi Spugnini;Stefano Fais;Robert J. Gillies - 通讯作者:
Robert J. Gillies
Why do cancers have high aerobic glycolysis?
为什么癌症具有高有氧糖酵解?
- DOI:
10.1038/nrc1478 - 发表时间:
2004-11-01 - 期刊:
- 影响因子:66.800
- 作者:
Robert A. Gatenby;Robert J. Gillies - 通讯作者:
Robert J. Gillies
Adaptive landscapes and emergent phenotypes: why do cancers have high glycolysis?
- DOI:
10.1007/s10863-007-9085-y - 发表时间:
2007-07-12 - 期刊:
- 影响因子:3.000
- 作者:
Robert J. Gillies;Robert A. Gatenby - 通讯作者:
Robert A. Gatenby
A microenvironmental model of carcinogenesis
致癌作用的微环境模型
- DOI:
10.1038/nrc2255 - 发表时间:
2008-01-01 - 期刊:
- 影响因子:66.800
- 作者:
Robert A. Gatenby;Robert J. Gillies - 通讯作者:
Robert J. Gillies
Promise and Progress for Functional and Molecular Imaging of Response to Targeted Therapies
- DOI:
10.1007/s11095-007-9250-3 - 发表时间:
2007-03-24 - 期刊:
- 影响因子:4.300
- 作者:
Renu M. Stephen;Robert J. Gillies - 通讯作者:
Robert J. Gillies
Robert J. Gillies的其他文献
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{{ truncateString('Robert J. Gillies', 18)}}的其他基金
Imaging Acidosis and Immune Therapy in PDAC
PDAC 中的影像学酸中毒和免疫治疗
- 批准号:
10088425 - 财政年份:2020
- 资助金额:
$ 29.68万 - 项目类别:
Imaging Acidosis and Immune Therapy in PDAC
PDAC 中的影像学酸中毒和免疫治疗
- 批准号:
9896558 - 财政年份:2020
- 资助金额:
$ 29.68万 - 项目类别:














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