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      Quantitative CD3 PET Imaging Predicts Tumor Growth Response to Anti-CTLA-4 Therapy.

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          Abstract

          Immune checkpoint inhibitors have made rapid advances, resulting in multiple Food and Drug Administration-approved therapeutics that have markedly improved survival. However, these benefits are limited to a minority subpopulation that achieves a response. Predicting which patients are most likely to benefit would be valuable for individual therapy optimization. T-cell markers such as CD3-by examining active recruitment of the T cells responsible for cancer-cell death-represent a more direct approach to monitoring tumor immune response than pretreatment biopsy or genetic screening. This approach could be especially effective as numerous different therapeutic strategies emerge, decreasing the need for drug-specific biomarkers and instead focusing on T-cell infiltration, which has been previously correlated with treatment response.

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          Author and article information

          Journal
          J. Nucl. Med.
          Journal of nuclear medicine : official publication, Society of Nuclear Medicine
          Society of Nuclear Medicine
          1535-5667
          0161-5505
          Oct 2016
          : 57
          : 10
          Affiliations
          [1 ] Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
          [2 ] Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts umahmood@mgh.harvard.edu.
          Article
          jnumed.116.173930
          10.2967/jnumed.116.173930
          27230929
          aaeb2964-ed4d-499e-b2f3-8e4812c07c0f
          History

          CD3,PET,cancer immunotherapy,response prediction
          CD3, PET, cancer immunotherapy, response prediction

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