Effective Anti-Tumor Vaccination - Targeting Checkpoint Regulation at the Time of T-cell Activation

NIH RePORTER · NIH · R01 · $349,988 · view on reporter.nih.gov ↗

Abstract

Prostate cancer is a significant global health concern for which new treatments are needed. The long-range goal of our research for nearly two decades has been to develop active immunotherapies, and tumor vaccines in particular, as treatments for prostate cancer. We have focused on DNA vaccines as a simple method, and one specifically aimed at generating tumor antigen-specific CD8 T cells. A major effort in our laboratory over the last several years has been to evaluate the tumor response to immunization and identify mechanisms of resistance to immunization. We have found that PD-1 or LAG-3 are upregulated after T cell activation with vaccination, and that even the transient expression of PD-1 or LAG-3 following antigen-specific T-cell activation is sufficient to allow them to be regulated in the immunosuppressive tumor environment, and this can be abrogated using concurrent blockade of PD-1 or LAG-3. We have recently demonstrated that this is true in humans as well, as delivery of a PD-1 blocking antibody (pembrolizumab) at the time of immunization with a DNA vaccine, rather than beginning weeks after immunization, elicited objective anti-prostate tumor responses. This forms the basis of the hypothesis underlying this proposal, namely that given the dynamic nature of the expression of PD-1 or LAG-3 following anti-tumor immunization, blockade of the transient upregulation of regulatory T cell markers (including PD-1 and/or LAG-3) using either antibody blockade or using TLR agonists that reduce expression of these regulatory receptors at the time of T-cell activation via anti-tumor immunization will lead to greater effector CD8 T cells and greater anti-tumor efficacy.

Key facts

NIH application ID
9924259
Project number
5R01CA219154-04
Recipient
UNIVERSITY OF WISCONSIN-MADISON
Principal Investigator
DOUGLAS G. MCNEEL
Activity code
R01
Funding institute
NIH
Fiscal year
2020
Award amount
$349,988
Award type
5
Project period
2017-06-09 → 2022-05-31