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  • [Clin Cancer Res.] CD8+ T-Cell Density Imaging with 64Cu-Labeled Cys-Diabody Informs Immunotherapy Protocols.

    University of California / Ferrara KW*

  • 출처
    Clin Cancer Res.
  • 등재일
    2018 Oct 15
  • 저널이슈번호
    24(20):4976-4987. doi: 10.1158/1078-0432.CCR-18-0261. Epub 2018 Jul 2.
  • 내용

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    Abstract
    Purpose: Noninvasive and quantitative tracking of CD8+ T cells by PET has emerged as a potential technique to gauge response to immunotherapy. We apply an anti-CD8 cys-diabody, labeled with 64Cu, to assess the sensitivity of PET imaging of normal and diseased tissue.Experimental Design: Radiolabeling of an anti-CD8 cys-diabody (169cDb) with 64Cu was developed. The accumulation of 64Cu-169cDb was evaluated with PET/CT imaging (0, 5, and 24 hours) and biodistribution (24 hours) in wild-type mouse strains (n = 8/group studied with imaging and IHC or flow cytometry) after intravenous administration. Tumor-infiltrating CD8+ T cells in tumor-bearing mice treated with CpG and αPD-1 were quantified and mapped (n = 6-8/group studied with imaging and IHC or flow cytometry).Results: We demonstrate the ability of immunoPET to detect small differences in CD8+ T-cell distribution between mouse strains and across lymphoid tissues, including the intestinal tract of normal mice. In FVB mice bearing a syngeneic HER2-driven model of mammary adenocarcinoma (NDL), 64Cu-169cDb PET imaging accurately visualized and quantified changes in tumor-infiltrating CD8+ T cells in response to immunotherapy. A reduction in the circulation time of the imaging probe followed the development of treatment-related liver and splenic hypertrophy and provided an indication of off-target effects associated with immunotherapy protocols.Conclusions: 64Cu-169cDb imaging can spatially map the distribution of CD8+ T cells in normal organs and tumors. ImmunoPET imaging of tumor-infiltrating cytotoxic CD8+ T cells detected changes in T-cell density resulting from adjuvant and checkpoint immunotherapy protocols in our preclinical evaluation.

     


    Author information

    Seo JW1, Tavaré R2, Mahakian LM1, Silvestrini MT1, Tam S1, Ingham ES1, Salazar FB2, Borowsky AD3, Wu AM#2, Ferrara KW#4.
    1
    Department of Biomedical Engineering, University of California, Davis, Davis, California.
    2
    Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
    3
    Center for Comparative Medicine, University of California, Davis, Davis, California.
    4
    Department of Biomedical Engineering, University of California, Davis, Davis, California. kwferrara@ucdavis.edu.
    #
    Contributed equally

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