Metformin generates profound alterations in systemic and tumor immunity with associated antitumor effects

Ratna Veeramachaneni, Wangjie Yu, Jared M. Newton, Jan O. Kemnade, Heath D. Skinner, Andrew G. Sikora, Vlad C. Sandulache

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Background Metformin is a commonly used antidiabetic medication which has demonstrated promise as an anticancer agent alone and in combination with conventional treatment regimens. There is increasing evidence that metformin can also generate immunomodulatory effects in solid tumors and is currently being investigated as an adjunct to immune checkpoint inhibitors (ICIs). We hypothesized that metformin would generate a shift in immunity unfavorable to tumor growth and tested this hypothesis in a preclinical model of head and neck cancer. Methods Using a syngeneic mouse model of human papillomavirus-associated head and neck cancer (mEER/MTEC), we tested the impact of metformin on systemic and local immunity and tumor growth velocity. We compared the effects of acute and chronic treatment regimens on immunocyte presence and activation using a combination of flow cytometry and targeted transcriptomic analysis. Results Acute metformin exposure generated measurable shifts in systemic myeloid and T-cell populations in non-tumor-bearing mice and decreased myeloid derived suppressor cell (MDSC) levels in tumor draining lymph nodes of tumor-bearing mice. Although metformin decreased regulatory T-cell (T-reg) and MDSC levels and increased CD8+ levels in murine tumors when combined with ICIs, acute metformin exposure was insufficient to generate substantial antitumor activity. Conversely, long-term metformin treatment significantly reduced tumor growth velocity, increased the CD8+/T-reg ratio, increased tumor infiltrating lymphocyte levels and upregulated component genes of the previously validated T-cell inflamed expression profile. Conclusions Metformin generates complex systemic and local immune effects which vary as a function of treatment duration. Combinatorial strategies with ICIs must take into account both the complexity and variability of these effects in order to generate maximal antitumor activity in future clinical trials.

Original languageEnglish
Article numbere002773
JournalJournal for ImmunoTherapy of Cancer
Volume9
Issue number7
DOIs
StatePublished - 6 Jul 2021
Externally publishedYes

Keywords

  • T-lymphocytes
  • drug evaluation
  • head and neck neoplasms
  • myeloid-derived suppressor cells
  • preclinical

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