Targeting the Epigenome to Improve Responses to Immunotherapy

靶向表观基因组以改善免疫疗法的反应

基本信息

  • 批准号:
    10523133
  • 负责人:
  • 金额:
    $ 9.33万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-06 至 2025-12-31
  • 项目状态:
    未结题

项目摘要

Project Summary Conventional dendritic cells (cDCs) are central regulators of the adaptive immune response, and have been shown to be required for the induction of T cell-mediated anti-tumor immunity. In particular, a subset of cDCs (cDC1) is responsible for transporting tumor antigens to the lymph node and cross presenting antigen in order to activate cytotoxic T lymphocytes, thereby inducing an anti-tumor response. We have recently observed TIM- 3 (T-cell immunoglobulin and mucin domain containing-3) expression on cDCs in human and murine mammary tumors, and found that TIM-3 blockade improved response to standard-of-care paclitaxel chemotherapy in models of triple-negative and luminal B disease. This occurred through increased chemokine expression by cDCs, without a corresponding in T cell infiltration, leading me to hypothesize that the spatial localization of cDCs and T cells within tumors is a critical determinant of successfully immunotherapy. In the F99 portion of this application I will therefore seek to determine if TIM-3 blockade alters the spatial organization of T cells, and if this is responsible for therapeutic efficacy. In the K00 phase of this proposal I will expand these studies to evaluate whether cDC/T cell clustering is a prerequisite for response to immune checkpoint blockade and other therapeutic modalities.
项目总结

项目成果

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ALYCIA GARDNER其他文献

ALYCIA GARDNER的其他文献

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{{ truncateString('ALYCIA GARDNER', 18)}}的其他基金

Determining the role of dendritic cells and spatial localization in anti-tumor immunity
确定树突状细胞和空间定位在抗肿瘤免疫中的作用
  • 批准号:
    10011786
  • 财政年份:
    2019
  • 资助金额:
    $ 9.33万
  • 项目类别:
Targeting the Epigenome to Improve Responses to Immunotherapy
靶向表观基因组以改善免疫疗法的反应
  • 批准号:
    10548236
  • 财政年份:
    2019
  • 资助金额:
    $ 9.33万
  • 项目类别:

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