Coordinating and Data Management Center for Acquired Resistance to Therapy Network

获得性治疗耐药网络协调和数据管理中心

基本信息

  • 批准号:
    10682495
  • 负责人:
  • 金额:
    $ 102.48万
  • 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:
    2022-09-01 至 2027-08-31
  • 项目状态:
    未结题

项目摘要

Project Summary The goal of our proposed Coordinating and Data Management Center (CDMC) application is to coordinate the activities across the Acquired Resistance to Therapy Network (ARTNet), and to manage, integrate and disseminate the data and resources generated through the network. Leveraging cutting-edge multi-disciplinary team approaches, we will support the ARTNet to inform new strategies that can be better translated to overcome significant challenges in acquired resistance to cancer therapies. Our strategy is to enhance the productivity of ARTNet investigators by fostering a collaborative and supportive research community, accelerate the progress of ARTNet research by reducing barriers to accessing analytical expertise, ensure the reproducibility of ARTNet data by deploying best practices for data acquisition and harmonization, and unleash the full potential of ARTNet activities by developing enhanced tools to enable resource sharing to the broader scientific community. First, we will provide a centralized administrative infrastructure to coordinate ARTNet activities, building upon our well-functioning infrastructure that currently coordinates network studies under the umbrella of the NCI Cancer Moonshot initiatives. Second, we will actively promote the ARTNet and engage in trans-consortium interactions, where we will leverage our demonstrable experience in Cross-Moonshot outreach and Bioconductor’s decades-long record in community engagement. Third, we will provide multidisciplinary analytical expertise to support ARTNet collaborative research, leveraging five of Roswell Park CCSG’s shared resources: Biostatistics, Bioinformatics, Biomedical Informatics, Pharmacokinetics/Pharmacodynamics, and Data Bank and BioRepository. Our analytical support will be provided at no cost to ARTNet investigators in need of analytical expertise, based on collaboration, transparency, and sharing. Fourth, we will develop improved data integration software and workflows to enhance ARTNet’s research capacity, capitalizing on our extensive track-record in developing NIH-supported Moonshot, Bioconductor and AnVIL ecosystems. The main deliverables from the proposed aims will be administrative and outreach support to coordinate network activities, facilitate network collaboration, and engage in interaction with the broader community (Aim 1); polices and infrastructures to ensure that all resources generated by the ARTNet will be findable in a centralized virtual resource sharing repository, and that all resources will be shared with the broader scientific community (Aim 2); workflows to ensure that all data generated by the ARTNet will be harmonized using standards interoperable with the broader cancer data ecosystem, analysis tools to integrate ARTNet data and facilitate cross-study analysis within and beyond the ARTNet, and multidisciplinary analytical supports to accelerate ARTNet research progress.(Aim 3).
项目摘要 我们建议的协调和数据管理中心(CDMC)应用程序的目标是协调 在获得性耐药治疗网络(ARTNet)的活动,并管理,整合和 通过网络传播产生的数据和资源。利用尖端的多学科 我们将支持ARTNet为新战略提供信息,这些新战略可以更好地转化为克服 在获得性耐药性癌症治疗方面的重大挑战。我们的策略是提高 ARTNet的研究人员通过培养一个合作和支持性的研究社区,加快了进展 减少获取分析专业知识的障碍,确保ARTNet的可重复性, 通过部署数据获取和协调的最佳实践,充分发挥ARTNet的潜力, 通过开发增强的工具,使更广泛的科学界能够共享资源,从而开展活动。 首先,我们将提供一个集中的行政基础设施,以协调亚太区域贸易研究网络的活动, 我们运作良好的基础设施,目前在国家癌症研究所的保护伞下协调网络研究 癌症登月计划。第二,我们将积极推动ARTNet,并进行跨联盟合作。 互动,我们将利用我们在跨Moonshot外展方面的可证明的经验, Bioconductor数十年来在社区参与方面的记录。第三,我们将提供多学科分析 利用Roswell Park CCSG的五项共享资源,支持ARTNet的合作研究: 生物统计学、生物信息学、生物医学信息学、药代动力学/药效学和数据库,以及 BioRepository.我们的分析支持将免费提供给需要分析的研究人员。 专业知识,基于合作,透明和共享。第四,我们将开发改进的数据集成 软件和工作流程,以提高ARTNet的研究能力,利用我们在以下方面的广泛跟踪记录: 开发NIH支持的Moonshot、Bioconductor和AnVIL生态系统。 拟议目标的主要交付成果将是行政和外联支助, 网络活动,促进网络协作,并与更广泛的社区进行互动(Aim 政策和基础设施,以确保所有资源产生的艺术和技术网络将被发现, 集中式虚拟资源共享库,并且所有资源将与更广泛的科学共享 (目标2);确保非洲热带农业研究和培训网络生成的所有数据都将使用 与更广泛的癌症数据生态系统互操作的标准,整合ARTNet数据的分析工具, 促进ART网内外的交叉研究分析,以及多学科分析支持, 加速ARTNet研究进展。(Aim 3)。

项目成果

期刊论文数量(0)
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专利数量(0)

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DAVID W. GOODRICH其他文献

DAVID W. GOODRICH的其他文献

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{{ truncateString('DAVID W. GOODRICH', 18)}}的其他基金

YAP1 and RB1 cooperate to regulate lung cancer lineage plasticity and therapeutic resistance
YAP1和RB1合作调节肺癌谱系可塑性和治疗耐药性
  • 批准号:
    10829724
  • 财政年份:
    2022
  • 资助金额:
    $ 102.48万
  • 项目类别:
Coordinating and Data Management Center for Acquired Resistance to Therapy Network
获得性治疗耐药网络协调和数据管理中心
  • 批准号:
    10516537
  • 财政年份:
    2022
  • 资助金额:
    $ 102.48万
  • 项目类别:
NOTCH signaling controls transformation to androgen independent neuroendocrine prostate cancer
NOTCH信号控制向雄激素非依赖性神经内分泌前列腺癌的转化
  • 批准号:
    10346091
  • 财政年份:
    2019
  • 资助金额:
    $ 102.48万
  • 项目类别:
NOTCH signaling controls transformation to androgen independent neuroendocrine prostate cancer
NOTCH信号控制向雄激素非依赖性神经内分泌前列腺癌的转化
  • 批准号:
    10524127
  • 财政年份:
    2019
  • 资助金额:
    $ 102.48万
  • 项目类别:
NOTCH signaling controls transformation to androgen independent neuroendocrine prostate cancer
NOTCH信号控制向雄激素非依赖性神经内分泌前列腺癌的转化
  • 批准号:
    10759015
  • 财政年份:
    2019
  • 资助金额:
    $ 102.48万
  • 项目类别:
NOTCH signaling controls transformation to androgen independent neuroendocrine prostate cancer
NOTCH信号控制向雄激素非依赖性神经内分泌前列腺癌的转化
  • 批准号:
    10641672
  • 财政年份:
    2019
  • 资助金额:
    $ 102.48万
  • 项目类别:
NOTCH signaling controls transformation to androgen independent neuroendocrine prostate cancer
NOTCH信号控制向雄激素非依赖性神经内分泌前列腺癌的转化
  • 批准号:
    10397535
  • 财政年份:
    2019
  • 资助金额:
    $ 102.48万
  • 项目类别:
(PQB5) Does the timing of Pten and Rb1 mutation affect prostate cancer phenotypes
(PQB5) Pten 和 Rb1 突变的时间是否影响前列腺癌表型
  • 批准号:
    8587206
  • 财政年份:
    2013
  • 资助金额:
    $ 102.48万
  • 项目类别:
(PQB5) Does the timing of Pten and Rb1 mutation affect prostate cancer phenotypes
(PQB5) Pten 和 Rb1 突变的时间是否影响前列腺癌表型
  • 批准号:
    8708795
  • 财政年份:
    2013
  • 资助金额:
    $ 102.48万
  • 项目类别:
The Role of Thoc1 in Normal Development and Cancer
Thoc1 在正常发育和癌症中的作用
  • 批准号:
    7332285
  • 财政年份:
    2007
  • 资助金额:
    $ 102.48万
  • 项目类别:

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