Personalized cancer models to discover and develop new therapeutic targets.
个性化癌症模型以发现和开发新的治疗靶点。
基本信息
- 批准号:10602920
- 负责人:
- 金额:$ 37.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-14 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
PROJECT SUMMARY/ABSTRACT
The wealth of data on the genomics of cancer provides a great opportunity to develop more effective targeted
therapies. However, many commonly mutated cancer genes resist efforts to target with drugs, genetic
heterogeneity of tumors confounds choice or efficacy of drugs, and development of resistance to commonly
used therapies is common, leaving few alternatives. New approaches are needed to address these
challenges. Exploiting cellular vulnerabilities generated as a result of mutations in commonly mutated genes,
e.g. synthetic lethality, is a promising approach, as illustrated by the recent approval of the PARP inhibitor
olaparib in ovarian cancer. We have developed and optimized a synthetic lethal discovery platform that entails
high throughput screening to identify novel targets in patient-derived cancer cell cultures and isogenic cell
systems. Integration of functional screen results with both patient specific (N of 1) and population-based
genomic data is used to prioritize targets useful to the greatest number of patients and in the most appropriate
genomic and molecular contexts. Prioritized targets undergo exhaustive confirmation and orthogonal
validation in physiologically-relevant settings including genomically characterized patient-derived cell cultures,
organoids and patient derived xenograft (PDX) models. Synthetic lethal genes identified with our platform are
conserved across species, have been confirmed as candidate drug targets across multiple human cancer
types and have led to an investigator initiated clinical trial, illustrating the translational utility of our platform.
The outcome of this proposal will be novel validated targets and therapeutic strategies to several human
cancer types including those resistant to standard of care agents and a deeper understanding of the biology of
several major cancer genes.
项目总结/文摘
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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CHRISTOPHER J KEMP的其他文献
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{{ truncateString('CHRISTOPHER J KEMP', 18)}}的其他基金
Mechanisms of Pip4k2c and Pip5k1b dependencies in Ras driven squamous cell carcinoma
Ras 驱动的鳞状细胞癌中 Pip4k2c 和 Pip5k1b 依赖性的机制
- 批准号:
10667117 - 财政年份:2023
- 资助金额:
$ 37.88万 - 项目类别:
A Patient-Centric Approach to Advance Functional Precision Oncology
以患者为中心的方法推进功能性精准肿瘤学
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10721205 - 财政年份:2023
- 资助金额:
$ 37.88万 - 项目类别:
Personalized cancer models to discover and develop new therapeutic targets.
个性化癌症模型以发现和开发新的治疗靶点。
- 批准号:
10228567 - 财政年份:2017
- 资助金额:
$ 37.88万 - 项目类别:
An Academic-Industry Partnership to Advance Functional Genomics for Personalized Oncology.
学术与行业合作,推进个性化肿瘤学的功能基因组学。
- 批准号:
10295144 - 财政年份:2017
- 资助金额:
$ 37.88万 - 项目类别:
Personalized cancer models to discover and develop new therapeutic targets.
个性化癌症模型以发现和开发新的治疗靶点。
- 批准号:
9767101 - 财政年份:2017
- 资助金额:
$ 37.88万 - 项目类别:
An Academic-Industry Partnership to Advance Functional Genomics for Personalized Oncology.
学术与行业合作,推进个性化肿瘤学的功能基因组学。
- 批准号:
10601428 - 财政年份:2017
- 资助金额:
$ 37.88万 - 项目类别:
An Academic-Industry Partnership to Advance Functional Genomics for Personalized Oncology.
学术与行业合作,推进个性化肿瘤学的功能基因组学。
- 批准号:
10049232 - 财政年份:2017
- 资助金额:
$ 37.88万 - 项目类别:
An integrated computational and functional genomics discovery engine for preclini
用于临床前的集成计算和功能基因组学发现引擎
- 批准号:
8495704 - 财政年份:2013
- 资助金额:
$ 37.88万 - 项目类别:
An integrated computational and functional genomics discovery engine for preclini
用于临床前的集成计算和功能基因组学发现引擎
- 批准号:
8685205 - 财政年份:2013
- 资助金额:
$ 37.88万 - 项目类别:
Mouse Models of Tumor Progression and Therapy Response
肿瘤进展和治疗反应的小鼠模型
- 批准号:
6588223 - 财政年份:2003
- 资助金额:
$ 37.88万 - 项目类别:
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