Project 3. Oncogenomics to identify and validate novel targeted therapies in myeloma

项目 3. 用于识别和验证骨髓瘤新型靶向疗法的肿瘤基因组学

基本信息

  • 批准号:
    10226194
  • 负责人:
  • 金额:
    $ 28.06万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-12-01 至 2023-07-31
  • 项目状态:
    已结题

项目摘要

Project Summary (Project 3) Our longstanding focus has been to understand the multiple myeloma (MM) cell- bone marrow stromal cell (BMSC) interactions. We have utilized our in vitro and in vivo models of the MM cell in the bone marrow milieu to identify molecular targets and pathways supporting myeloma cell growth, survival, and drug resistance, and implement effective molecularly-based therapies with dramatic effects on the survival of MM patients. Importantly, rather than focusing on individual targets, our studies integrating various genomic and epigenomic parameters have identified gene regulatory networks as the fundamental mechanisms responsible for continued MM cell growth, despite single targeted therapies. These recurrent and important network motifs form functional nodes in the larger regulatory networks, and are considered to be linchpins of disease causing genomic alterations in MM and other cancers. We hypothesize that aberrant molecular networks drive the progression of MM; confer tumor cell growth and survival advantage; and affect clinical outcome; and that disruption of such circuits will have therapeutic implications. In this project, our robust human MM model systems will be used to stringently validate the role of novel regulatory circuits identified to be of biologic/prognostic significance in Projects 1 and 2 or implicated in disease progression in Project 4; and assess the therapeutic potential of targeting these circuits, both alone and in combination with established and emerging MM therapeutics. We will use our advanced bioinformatic analytical methods to identify gene regulatory networks dysregulated in myeloma and a pooled and/or gene-specific CRISPR screen to evaluate functional impact of each component of the candidate regulatory networks (Specific Aim 1a,b); validate the functional role of selected molecular targets regulating MM cell growth, survival, and drug resistance using our in vitro and in vivo models of human MM in the bone marrow milieu (Specific Aim 1c,d); and evaluate the impact of potential therapeutic agents directed against these validated novel molecular networks, alone and in combination (Specific Aim 2). This proposal will thus improve our understanding of the regulatory circuitry that controls tumor growth and progression in MM, and to develop the next generation of targeted therapies in MM.
项目概要(项目3) 我们长期以来的重点是了解多发性骨髓瘤(MM)细胞-骨髓基质细胞 (BMSC)相互作用。我们利用骨髓环境中MM细胞的体外和体内模型, 鉴定支持骨髓瘤细胞生长、存活和耐药性的分子靶点和途径, 实施有效的基于分子的治疗,对MM患者的生存有显著影响。 重要的是,我们的研究不是关注单个靶点,而是整合各种基因组和表观基因组, 参数已确定基因调控网络的基本机制,负责 持续MM细胞生长,尽管单一靶向治疗。这些反复出现的重要网络图案 在更大的调控网络中形成功能节点,并被认为是导致疾病的关键 MM和其他癌症中的基因组改变。我们假设异常的分子网络驱动了 MM进展;赋予肿瘤细胞生长和存活优势;并影响临床结果;以及 这种回路的中断将具有治疗意义。在这个项目中,我们强大的人类MM模型 系统将被用来严格验证新的调节电路的作用, 在项目1和2中具有生物学/预后意义或在项目4中与疾病进展有关;以及 评估靶向这些回路的治疗潜力,无论是单独还是与已建立的 新兴的MM疗法。我们将利用我们先进的生物信息学分析方法, 骨髓瘤中失调的调控网络以及合并和/或基因特异性CRISPR筛选,以评估 候选监管网络(具体目标1a、B)每个组成部分的功能影响;验证 使用我们的方法,选择调节MM细胞生长、存活和耐药性的分子靶点, 骨髓环境中人MM的体外和体内模型(特定目标1c,d);并评价 针对这些经验证的新型分子网络的潜在治疗剂单独和联合 具体目标2(Specific Aim 2)因此,这一建议将提高我们对调节电路的理解, 控制MM的肿瘤生长和进展,并开发MM的下一代靶向疗法。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

KENNETH C. ANDERSON其他文献

KENNETH C. ANDERSON的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('KENNETH C. ANDERSON', 18)}}的其他基金

Therapeutically Targeting Plasmacytoid Dendritic Cells in Multiple Myeloma
治疗多发性骨髓瘤中的浆细胞样树突状细胞
  • 批准号:
    9153292
  • 财政年份:
    2016
  • 资助金额:
    $ 28.06万
  • 项目类别:
Therapeutically Targeting Plasmacytoid Dendritic Cells in Multiple Myeloma
治疗多发性骨髓瘤中的浆细胞样树突状细胞
  • 批准号:
    9518657
  • 财政年份:
    2016
  • 资助金额:
    $ 28.06万
  • 项目类别:
Functional and biologic significance of deacetylase3 inhibition in myeloma
脱乙酰酶 3 抑制在骨髓瘤中的功能和生物学意义
  • 批准号:
    8757662
  • 财政年份:
    2014
  • 资助金额:
    $ 28.06万
  • 项目类别:
Functional and biologic significance of deacetylase3 inhibition in myeloma
脱乙酰酶 3 抑制在骨髓瘤中的功能和生物学意义
  • 批准号:
    9320918
  • 财政年份:
    2014
  • 资助金额:
    $ 28.06万
  • 项目类别:
Functional and biologic significance of deacetylase3 inhibition in myeloma
脱乙酰酶 3 抑制在骨髓瘤中的功能和生物学意义
  • 批准号:
    8916052
  • 财政年份:
    2014
  • 资助金额:
    $ 28.06万
  • 项目类别:
Functional and biologic significance of deacetylase3 inhibition in myeloma
脱乙酰酶 3 抑制在骨髓瘤中的功能和生物学意义
  • 批准号:
    9127920
  • 财政年份:
    2014
  • 资助金额:
    $ 28.06万
  • 项目类别:
Project 3: Defining the biologic role and therapeutic implications of lncRNA in multiple myeloma
项目 3:定义 lncRNA 在多发性骨髓瘤中的生物学作用和治疗意义
  • 批准号:
    10555733
  • 财政年份:
    2011
  • 资助金额:
    $ 28.06万
  • 项目类别:
Administrative and Clinical Support
行政和临床支持
  • 批准号:
    8249894
  • 财政年份:
    2011
  • 资助金额:
    $ 28.06万
  • 项目类别:
Oncogenomics to Identify and Validate Novel Targeted Therapies in Multiple Myelom
肿瘤基因组学识别和验证多发性骨髓瘤的新型靶向疗法
  • 批准号:
    8066221
  • 财政年份:
    2011
  • 资助金额:
    $ 28.06万
  • 项目类别:
Oncogenomics to Identify and Validate Novel Targeted Therapies in Multiple Myelom
肿瘤基因组学识别和验证多发性骨髓瘤的新型靶向疗法
  • 批准号:
    8566798
  • 财政年份:
    2011
  • 资助金额:
    $ 28.06万
  • 项目类别:

相似海外基金

Collaborative Research: IIBR: Innovation: Bioinformatics: Linking Chemical and Biological Space: Deep Learning and Experimentation for Property-Controlled Molecule Generation
合作研究:IIBR:创新:生物信息学:连接化学和生物空间:属性控制分子生成的深度学习和实验
  • 批准号:
    2318829
  • 财政年份:
    2023
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Continuing Grant
Analysis of biological small molecule mixtures using multiple modes of mass spectrometric fragmentation coupled with new bioinformatics workflows
使用多种质谱裂解模式结合新的生物信息学工作流程分析生物小分子混合物
  • 批准号:
    BB/X019802/1
  • 财政年份:
    2023
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Research Grant
Collaborative Research: IIBR: Innovation: Bioinformatics: Linking Chemical and Biological Space: Deep Learning and Experimentation for Property-Controlled Molecule Generation
合作研究:IIBR:创新:生物信息学:连接化学和生物空间:属性控制分子生成的深度学习和实验
  • 批准号:
    2318830
  • 财政年份:
    2023
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Continuing Grant
Collaborative Research: IIBR: Innovation: Bioinformatics: Linking Chemical and Biological Space: Deep Learning and Experimentation for Property-Controlled Molecule Generation
合作研究:IIBR:创新:生物信息学:连接化学和生物空间:属性控制分子生成的深度学习和实验
  • 批准号:
    2318831
  • 财政年份:
    2023
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Continuing Grant
Bioinformatics-powered genetic characterization of the impact of biological systems on Alzheimer's disease and neurodegeneration
基于生物信息学的生物系统对阿尔茨海默病和神经退行性疾病影响的遗传表征
  • 批准号:
    484699
  • 财政年份:
    2022
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Operating Grants
REU Site: Bioinformatics Research and Interdisciplinary Training Experience in Analysis and Interpretation of Information-Rich Biological Data Sets (REU-BRITE)
REU网站:信息丰富的生物数据集分析和解释的生物信息学研究和跨学科培训经验(REU-BRITE)
  • 批准号:
    1949968
  • 财政年份:
    2020
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Standard Grant
REU Site: Bioinformatics Research and Interdisciplinary Training Experience in Analysis and Interpretation of Information-Rich Biological Data Sets (REU-BRITE)
REU网站:信息丰富的生物数据集分析和解释的生物信息学研究和跨学科培训经验(REU-BRITE)
  • 批准号:
    1559829
  • 财政年份:
    2016
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Continuing Grant
Bioinformatics Tools to Design and Optimize Biological Sensor Systems
用于设计和优化生物传感器系统的生物信息学工具
  • 批准号:
    416848-2011
  • 财政年份:
    2011
  • 资助金额:
    $ 28.06万
  • 项目类别:
    University Undergraduate Student Research Awards
ABI Development: bioKepler: A Comprehensive Bioinformatics Scientific Workflow Module for Distributed Analysis of Large-Scale Biological Data
ABI 开发:bioKepler:用于大规模生物数据分布式分析的综合生物信息学科学工作流程模块
  • 批准号:
    1062565
  • 财政年份:
    2011
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Continuing Grant
Bioinformatics-based hypothesis generation with biological validation for plant stress biology
基于生物信息学的假设生成和植物逆境生物学的生物验证
  • 批准号:
    261818-2006
  • 财政年份:
    2010
  • 资助金额:
    $ 28.06万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了