4.8 Article

Maximizing response to intratumoral immunotherapy in mice by tuning local retention

Journal

NATURE COMMUNICATIONS
Volume 13, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-021-27390-6

Keywords

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Funding

  1. National Cancer Institute [NCI CA174795, P30-CA14051]
  2. Department of Defense Breast Cancer Research Program Investigator Award [W81XWH-14-1-0240]
  3. NIH/NIGMS Biotechnology Training Program
  4. NSF Graduate Research Fellowship
  5. Paul and Daisy Soros Fellowship
  6. Mazumdar-Shaw International Oncology Fellowship
  7. Siebel Scholar award

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Direct injection of therapies into tumors has emerged as an important route for achieving high local drug exposure and strong anti-tumor response. This study defines a pharmacokinetic framework for intratumorally-injected biologics that can predict tumor exposure and effectiveness. By investigating the distribution of injected proteins, the study reveals the impact of molecular size and matrix binding on tumor-localized therapy, providing valuable insights for the rational design of intratumoral immunotherapies.
Direct injection of therapies into tumors has emerged as an administration route capable of achieving high local drug exposure and strong anti-tumor response. A diverse array of immune agonists ranging in size and target are under development as local immunotherapies. However, due to the relatively recent adoption of intratumoral administration, the pharmacokinetics of locally-injected biologics remains poorly defined, limiting rational design of tumor-localized immunotherapies. Here we define a pharmacokinetic framework for biologics injected intratumorally that can predict tumor exposure and effectiveness. We find empirically and computationally that extending the tumor exposure of locally-injected interleukin-2 by increasing molecular size and/or improving matrix-targeting affinity improves therapeutic efficacy in mice. By tracking the distribution of intratumorally-injected proteins using positron emission tomography, we observe size-dependent enhancement in tumor exposure occurs by slowing the rate of diffusive escape from the tumor and by increasing partitioning to an apparent viscous region of the tumor. In elucidating how molecular weight and matrix binding interplay to determine tumor exposure, our model can aid in the design of intratumoral therapies to exert maximal therapeutic effect.

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