Evidence Hub

Biological Anti-Tumoral Mechanisms of Metformin in Head and Neck Squamous Cell Carcinomas: A Systematic Review

T. Buset, A. Yanni, M. Gerbaux, C. Bouland, Xavier Vanden Eynden, R. Javadian, J. Lechien, Isabelle Loeb et al.

Journal of Clinical Medicine, 2025

3 citations

Abstract

Background/Objectives: Recent studies suggest Metformin could be a potential anti-tumoral agent. This review aims to understand the biological anti-tumoral mechanisms of Metformin in head and neck cancer squamous cell carcinomas (HNSCC) both in vitro and in vivo. Methods: Two investigators screened publications on the biological anti-tumoral effects of Metformin in HNSCC. The literature search was conducted on PubMed, Cochrane Library, and Scopus using PICOTS and PRISMA statements. Results: A total of 30 papers were identified, including 18 studies exploring the effect of Metformin alone and 12 studies exploring its effect in association with another drug or therapy for HNSCC lines. The results suggest that Metformin decreases the proliferation rate of HNSCC through inhibition of cell proliferation by the induction of G0/G1 cell cycle arrest and activation of apoptosis, by regulating proteins involved in carcinogenesis pathways, and also affects the tumor microenvironment by switching the metabolism and activating immune cells. In addition, Metformin can potentiate the efficiency and/or sensibility of other anti-tumoral treatments. The present systematic review highlights the biological anti-tumoral effects of Metformin used alone or in combination with traditional therapies for HNSCC. Conclusions: This review of the literature summarizes the biological anti-tumoral effects associated with Metformin alone or in combination with other therapies. While the molecular effects of…

How strong is the evidence?

Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free