Predicting sensitivity and resistance in RET-driven cancers

预测 RET 驱动的癌症的敏感性和耐药性

基本信息

  • 批准号:
    10376881
  • 负责人:
  • 金额:
    $ 39.68万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-04-01 至 2026-03-31
  • 项目状态:
    未结题

项目摘要

Selpercatinib (LOXO-292) is a highly active selective RET inhibitor explored on an ongoing registrational program (LIBRETTO-001 phase 1/2 trial) in RET-dependent cancers (US FDA approval in 2020 for RET fusion-positive lung/thyroid cancer and RET-mutant thyroid cancer). Unfortunately, resistance is uncharacterized and remains a liability. This proposal anticipates and addresses this unmet need by identifying and functionally characterizing mechanisms of intrinsic and acquired genomic and non-genomic resistance to selective RET inhibition in RET-dependent cancers. To accomplish this, we will leverage unique clinical, computational, and translational resources at our disposal. Aim 1 will identify determinants of intrinsic resistance to RET inhibition in RET-dependent cancers. Pre-treatment biopsies of selpercatinib responders and non-responders will undergo targeted/whole exome sequencing. Computational analysis will explore the role of clonality, allelic imbalance, and co-mutational signatures relative to selpercatinib response and progression-free survival. Aim 2 will establish the mechanisms of acquired resistance to selective RET inhibition. Paired pre-treatment and post-progression tumor biopsies and longitudinal cell-free (cf)DNA (baseline, on-treatment, at/post- progression) from LIBRETTO-001 patients will be profiled. Utilizing paired samples will allow for the identification of emergent genomic and non-genomic (including histologic/EMT transformation) resistance mechanisms. In addition, plasma profiling will allow for a dynamic assessment of selpercatinib resistance that captures the consequences of serial genomic evolution. Aim 3 will functionally characterize resistance to selective RET inhibition. A unique and rich library of patient-derived models of treatment-naïve and RET inhibitor resistant RET-dependent cancers will be augmented by ongoing prospective collection and model development from LIBRETTO-001 and commercial use. In these models, on-target (secondary RET mutations) and off-target (MET/PI3K/KRAS/MDM2 activation) resistance mechanisms will be functionally characterized in terms of cell/tumor viability, receptor tyrosine kinase activation, and downstream signaling dependencies. Novel therapeutic strategies, specifically RET tyrosine kinase inhibitor type switching (on-target resistance) and combinatorial therapies (off-target resistance), will be explored in vitro and in vivo. Optimal combination therapies will then be employed in compassionate use programs to confirm their effectiveness and provide tailored, life-saving treatment to patients. In addition, patients with on-target resistance will be treated on-protocol (Drilon PI) with the next-generation RET inhibitor, TPX-0046. This proposal has both immediate and long-term relevance considering that about 400 patients have been treated with selpercatinib around the world on trial and the potential approval and rapid adoption of this drug by multiple regulatory agencies. These current and future patients are in dire need of strategies to re-establish durable disease control after progression on selective RET inhibition.
Selpercatinib (LOXO-292)是一种正在进行注册的高活性选择性RET抑制剂

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 }}

Alexander Drilon其他文献

Alexander Drilon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('Alexander Drilon', 18)}}的其他基金

Predicting sensitivity and resistance in RET-driven cancers
预测 RET 驱动的癌症的敏感性和耐药性
  • 批准号:
    10608125
  • 财政年份:
    2021
  • 资助金额:
    $ 39.68万
  • 项目类别:
Predicting sensitivity and resistance in RET-driven cancers
预测 RET 驱动的癌症的敏感性和耐药性
  • 批准号:
    10210994
  • 财政年份:
    2021
  • 资助金额:
    $ 39.68万
  • 项目类别:
Understanding tumor addiction to TRK fusions and sensitivity to TRK inhibition
了解肿瘤对 TRK 融合的成瘾性和对 TRK 抑制的敏感性
  • 批准号:
    9917755
  • 财政年份:
    2018
  • 资助金额:
    $ 39.68万
  • 项目类别:
Understanding tumor addiction to TRK fusions and sensitivity to TRK inhibition
了解肿瘤对 TRK 融合的成瘾性和对 TRK 抑制的敏感性
  • 批准号:
    10155443
  • 财政年份:
    2018
  • 资助金额:
    $ 39.68万
  • 项目类别:

相似海外基金

Investigating the Adoption, Actual Usage, and Outcomes of Enterprise Collaboration Systems in Remote Work Settings.
调查远程工作环境中企业协作系统的采用、实际使用和结果。
  • 批准号:
    24K16436
  • 财政年份:
    2024
  • 资助金额:
    $ 39.68万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
WELL-CALF: optimising accuracy for commercial adoption
WELL-CALF:优化商业采用的准确性
  • 批准号:
    10093543
  • 财政年份:
    2024
  • 资助金额:
    $ 39.68万
  • 项目类别:
    Collaborative R&D
Unraveling the Dynamics of International Accounting: Exploring the Impact of IFRS Adoption on Firms' Financial Reporting and Business Strategies
揭示国际会计的动态:探索采用 IFRS 对公司财务报告和业务战略的影响
  • 批准号:
    24K16488
  • 财政年份:
    2024
  • 资助金额:
    $ 39.68万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10107647
  • 财政年份:
    2024
  • 资助金额:
    $ 39.68万
  • 项目类别:
    EU-Funded
Assessing the Coordination of Electric Vehicle Adoption on Urban Energy Transition: A Geospatial Machine Learning Framework
评估电动汽车采用对城市能源转型的协调:地理空间机器学习框架
  • 批准号:
    24K20973
  • 财政年份:
    2024
  • 资助金额:
    $ 39.68万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
  • 批准号:
    10106221
  • 财政年份:
    2024
  • 资助金额:
    $ 39.68万
  • 项目类别:
    EU-Funded
De-Adoption Beta-Blockers in patients with stable ischemic heart disease without REduced LV ejection fraction, ongoing Ischemia, or Arrhythmias: a randomized Trial with blinded Endpoints (ABbreviate)
在没有左心室射血分数降低、持续性缺血或心律失常的稳定型缺血性心脏病患者中停用β受体阻滞剂:一项盲法终点随机试验(ABbreviate)
  • 批准号:
    481560
  • 财政年份:
    2023
  • 资助金额:
    $ 39.68万
  • 项目类别:
    Operating Grants
Our focus for this project is accelerating the development and adoption of resource efficient solutions like fashion rental through technological advancement, addressing longer in use and reuse
我们该项目的重点是通过技术进步加快时装租赁等资源高效解决方案的开发和采用,解决更长的使用和重复使用问题
  • 批准号:
    10075502
  • 财政年份:
    2023
  • 资助金额:
    $ 39.68万
  • 项目类别:
    Grant for R&D
Engage2innovate – Enhancing security solution design, adoption and impact through effective engagement and social innovation (E2i)
Engage2innovate — 通过有效参与和社会创新增强安全解决方案的设计、采用和影响 (E2i)
  • 批准号:
    10089082
  • 财政年份:
    2023
  • 资助金额:
    $ 39.68万
  • 项目类别:
    EU-Funded
Collaborative Research: SCIPE: CyberInfrastructure Professionals InnoVating and brOadening the adoption of advanced Technologies (CI PIVOT)
合作研究:SCIPE:网络基础设施专业人员创新和扩大先进技术的采用 (CI PIVOT)
  • 批准号:
    2321091
  • 财政年份:
    2023
  • 资助金额:
    $ 39.68万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了