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ABSTRACT Novel immunotherapies for cancer are having a major clinical impact, in particular anti-PD-1 mAbs. However, the mechanisms that explain why a subset of patients responds to these therapies while other patients do not remain incompletely understood. Our preliminary data suggest that a baseline T cell-inflamed tumor microenvironment may be a predictive biomarker for response to multiple immunotherapies. Combination immunotherapies may push clinical efficacy in this subset of patients further. Our over-arching hypothesis is that germline polymorphisms in the host, genomic features of the tumor cells, and the composition of intestinal microbiota profoundly influence the extent of a spontaneous T cell response against a patient's tumor, which in turn will determine the likelihood of response to immunotherapy. Identifying molecular mechanisms for T cell exclusion should point towards new therapeutic interventions that will expand the fraction of patients responding to anti-PD-1- based immunotherapies. While our work to date has focused on melanoma, recent TCGA analysis has indicated that many of the same principles apply to multiple additional cancer types. Thus, a major goal of the proposed funding period will be to broaden our translational research strategy to encompass patients with all cancer types being treated with anti-PD-1- based immunotherapies. The output of this work is therefore anticipated to have profound impact on cancer patient outcomes overall.
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Overcoming resistance to anti-PD1 immunotherapy
  • 批准号:
    10547757
  • 项目类别:
  • 资助金额:
    $92.71万
  • 财政年份:
    2016
  • 负责人:
    THOMAS F GAJEWSKI
  • 依托单位:
Overcoming resistance to anti-PD1 immunotherapy
  • 批准号:
    10737852
  • 项目类别:
  • 资助金额:
    $97.02万
  • 财政年份:
    2016
  • 负责人:
    THOMAS F GAJEWSKI
  • 依托单位:
Overcoming resistance to anti-PD1 immunotherapy
  • 批准号:
    9186858
  • 项目类别:
  • 资助金额:
    $94.12万
  • 财政年份:
    2016
  • 负责人:
    THOMAS F GAJEWSKI
  • 依托单位:
Overcoming resistance to anti-PD1 immunotherapy
  • 批准号:
    10304876
  • 项目类别:
  • 资助金额:
    $92.46万
  • 财政年份:
    2016
  • 负责人:
    THOMAS F GAJEWSKI
  • 依托单位:
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海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data