Improving Therapeutic Approaches for RAS-driven Embryonal Rhabdomyosarcoma

改善 RAS 驱动的胚胎性横纹肌肉瘤的治疗方法

基本信息

项目摘要

Summary Despite the use of aggressive chemo-radiation therapy, children with high-risk rhabdomyosarcoma (RMS) including advanced or metastatic embryonal RMS (ERMS) with RAS mutations, have very poor outcomes (20- 30% survival at 5 years from diagnosis) with no significant improvement over the last 30 years. Further, current multimodality therapies are associated with life-long life-threatening sequelae. This project focuses on developing less-genotoxic, targeted therapy for RAS-mutant ERMS. Preliminary data support rapid translation of vertical targeting of the MAPK pathway as a therapeutic approach in ERMS. The proposed aims are based upon the following observations: (i) In RAS-driven ERMS, resistance to MEK inhibitors is a consequence of pathway reactivation through CRAF; (ii) Combination of new generation type 2 RAF inhibitors with MEK inhibitors cause dramatic regressions of most RAS-mutant ERMS PDX models but are not curative. Consequently, both intrinsic and acquired resistance will be a barrier for long-term curative outcomes; (iii) Innovative single mouse testing (SMT) experimental design shows that, consistent with their high-risk classification, RAS-mutant ERMS PDX/CDX models, rapidly fail intensive multidrug regimens used in the most recent high-risk RMS clinical protocol (ARST0431). Therefore, this project aims to: 1) define mechanisms of innate and acquired resistance to co-targeting RAF and MEK in RAS-driven ERMS with the goal to facilitate more impactful clinical outcomes. Using DNA and RNA sequencing, we will identify genomic/epigenomic changes associated with resistance and validate and define mechanisms of innate and acquired resistance to combining type 2 RAF and MEK inhibitors in ERMS; 2) evaluate how this approach can be integrated into current clinical chemotherapy protocols using the SMT experimental design. Our studies will inform biomarkers of response to type 2 RAF + MEK inhibitors combination and how this combination can be sequenced relative to chemotherapy to optimize responses of RMS PDX/CDX models, thus directly impacting clinical trials design for RAS-driven ERMS.
摘要 尽管使用了积极的化疗和放射治疗,患有高危横纹肌肉瘤(RMS)的儿童 包括带有RAS突变的晚期或转移性胚胎性RMS(ERMS),预后非常差(20- 确诊后5年存活率为30%),在过去30年中没有明显改善。更进一步,当前 多模式治疗与危及生命的后遗症有关。这个项目的重点是 为RAS突变型ERMS开发基因毒性较低的靶向治疗。初步数据支持快速翻译 垂直靶向MAPK通路作为ERMS的一种治疗方法。提议的目标是基于 根据以下观察:(I)在RAS驱动的ERMS中,对MEK抑制剂的耐药性是以下结果 CRAF途径的再激活;(Ii)新一代2型RAF抑制剂与MEK抑制剂的联合 导致大多数RAS突变型ERMS PDX模型的戏剧性回归,但不是治愈的。因此,两者 固有和获得性耐药性将是长期疗效的障碍;(3)创新的单一小鼠 测试(SMT)实验设计表明,与他们的高危分类一致,RAS突变体ERM PDX/CDX模型,在最近的高危RMS临床中使用的密集多药方案迅速失效 协议(ARST0431)。因此,本项目的目标是:1)确定先天和后天抗性的机制 在RAS驱动的ERMS中联合靶向RAF和MEK,以促进更有效的临床结果。 使用DNA和RNA测序,我们将识别与抗药性和 验证和定义先天和后天抵抗2型RAF和MEK抑制剂的机制 在ERMS中;2)评估如何将该方法整合到当前的临床化疗方案中 SMT实验设计。我们的研究将告知生物标记物对2型RAF+MEK抑制剂的反应 与化疗相比,如何对这种组合进行排序,以优化对 RMS PDX/CDX模型,因此直接影响RAS驱动的ERMS的临床试验设计。

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 }}

Angelina V Vaseva其他文献

Angelina V Vaseva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('Angelina V Vaseva', 18)}}的其他基金

Improving Therapeutic Approaches for RAS-driven Embryonal Rhabdomyosarcoma
改善 RAS 驱动的胚胎性横纹肌肉瘤的治疗方法
  • 批准号:
    10446046
  • 财政年份:
    2022
  • 资助金额:
    $ 34.75万
  • 项目类别:

相似海外基金

Establishment of a new biological assay using Hydra nematocyst deployment
利用水螅刺丝囊部署建立新的生物测定方法
  • 批准号:
    520728-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 34.75万
  • 项目类别:
    University Undergraduate Student Research Awards
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    10368760
  • 财政年份:
    2017
  • 资助金额:
    $ 34.75万
  • 项目类别:
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    10669539
  • 财政年份:
    2017
  • 资助金额:
    $ 34.75万
  • 项目类别:
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    9570142
  • 财政年份:
    2017
  • 资助金额:
    $ 34.75万
  • 项目类别:
POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER) AFTER RADIOLOGICAL AND NUCLEAR EVENTS.
用于确定放射和核事件后组织特异性吸收电离辐射剂量(生物剂量计)的护理点生物测定。
  • 批准号:
    9915803
  • 财政年份:
    2017
  • 资助金额:
    $ 34.75万
  • 项目类别:
COVID-19 Supplemental work: POINT-OF-CARE BIOLOGICAL ASSAY FOR DETERMINING TISSUE-SPECIFIC ABSORBED IONIZING RADIATION DOSE (BIODOSIMETER).
COVID-19 补充工作:用于确定组织特异性吸收电离辐射剂量的护理点生物测定(生物剂量计)。
  • 批准号:
    10259999
  • 财政年份:
    2017
  • 资助金额:
    $ 34.75万
  • 项目类别:
Drug discovery based on a new biological assay system using Yeast knock-out strain collection
基于使用酵母敲除菌株收集的新生物测定系统的药物发现
  • 批准号:
    21580130
  • 财政年份:
    2009
  • 资助金额:
    $ 34.75万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Machine learning for automatic gene annotation using high-throughput biological assay data
使用高通量生物测定数据进行自动基因注释的机器学习
  • 批准号:
    300985-2004
  • 财政年份:
    2005
  • 资助金额:
    $ 34.75万
  • 项目类别:
    Postdoctoral Fellowships
Machine learning for automatic gene annotation using high-throughput biological assay data
使用高通量生物测定数据进行自动基因注释的机器学习
  • 批准号:
    300985-2004
  • 财政年份:
    2004
  • 资助金额:
    $ 34.75万
  • 项目类别:
    Postdoctoral Fellowships
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了