Imaging Memory T-Cells Stratifies Response to Adjuvant Metformin Combined with αPD-1 Therapy

Int J Mol Sci. 2022 Oct 25;23(21):12892. doi: 10.3390/ijms232112892.

Abstract

The low response rates associated with immune checkpoint inhibitor (ICI) use has led to a surge in research investigating adjuvant combination strategies in an attempt to enhance efficacy. Repurposing existing drugs as adjuvants accelerates the pace of cancer immune therapy research; however, many combinations exacerbate the immunogenic response elicited by ICIs and can lead to adverse immune-related events. Metformin, a widely used type 2 diabetes drug is an ideal candidate to repurpose as it has a good safety profile and studies suggest that metformin can modulate the tumour microenvironment, promoting a favourable environment for T cell activation but has no direct action on T cell activation on its own. In the current study we used PET imaging with [18F]AlF-NOTA-KCNA3P, a radiopharmaceutical specifically targeting KV1.3 the potassium channel over-expressed on active effector memory T-cells, to determine whether combining PD1 with metformin leads to an enhanced immunological memory response in a preclinical colorectal cancer model. Flow cytometry was used to assess which immune cell populations infiltrate the tumours in response to the treatment combination. Imaging with [18F]AlF-NOTA-KCNA3P demonstrated that adjuvant metformin significantly improved anti-PD1 efficacy and led to a robust anti-tumour immunological memory response in a syngeneic colon cancer model through changes in tumour infiltrating effector memory T-cells.

Keywords: immune checkpoint inhibitors (ICI); metformin; positron emission tomography (PET); potassium channels.

MeSH terms

  • Adjuvants, Immunologic / therapeutic use
  • Diabetes Mellitus, Type 2*
  • Humans
  • Memory T Cells
  • Metformin* / pharmacology
  • Metformin* / therapeutic use
  • Neoplasms* / drug therapy
  • Tumor Microenvironment

Substances

  • Metformin
  • Adjuvants, Immunologic

Grants and funding

This work was supported by the Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A*STAR). The content is solely the responsibility of the authors and does not necessarily represent the official views of A*STAR.