Multiparameter Longitudinal Imaging of Immune Cell Activity in Chimeric Antigen Receptor T Cell and Checkpoint

Jinghang Xie1, Fadi El Rami1, Kaixiang Zhou1

  • 1Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California 94305, United States.

ACS Central Science
|June 1, 2022
PubMed

Insights

A new imaging agent, G-SNAT, detects T cell activity for cancer immunotherapy. Multimodal imaging predicts treatment response before tumor shrinkage, aiding drug development.

Area of Science:

  • Immunology
  • Oncology
  • Medical Imaging

Background:

  • Cancer immunotherapy effectiveness relies on T cell activity, but early noninvasive monitoring remains challenging.
  • Predicting treatment response requires understanding immune cell dynamics and cytotoxic function.

Purpose of the Study:

  • To develop a novel imaging agent (G-SNAT) for assessing cytotoxic T lymphocyte (CTL) activity.
  • To evaluate G-SNAT's utility in predicting immunotherapy response using longitudinal multimodal imaging.

Main Methods:

  • Designed and characterized granzyme B-activated self-assembly small molecule (G-SNAT).
  • Assessed G-SNAT's specificity for granzyme B in vitro.
  • Utilized G-SNAT-Cy5 and bioluminescence imaging in mouse models of lymphoma and colorectal cancer treated with immunotherapy (anti-PD-1, anti-CTLA-4, CAR T cells).

Main Results:

  • G-SNAT specifically detected granzyme B activity in activated T cells and engaged cancer cells.
  • G-SNAT-Cy5 retention correlated with CAR T cell-mediated granzyme B release and tumor eradication in lymphoma models.
  • Longitudinal imaging revealed immune cell dynamics predicted therapeutic outcomes in colorectal cancer models before tumor shrinkage.

Conclusions:

  • G-SNAT is a promising tool for imaging early immune responses to cancer immunotherapies like checkpoint blockade and CAR T-cell therapy.
  • Multimodal imaging provides mechanistic insights and predicts treatment response, supporting clinical translation.

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