← Back to Explore

Reversing Tumor-Induced T Cell Suppression through Activation of TLR8 Pathway

ISEF · 2019 Biomedical and Health Sciences

Overview

The purpose of this project is to study how the Toll-like receptor 8 (TLR8) pathway prevents tumor-induced T cell suppression. Tumor-induced immunosuppression is important to study because it is a critical barrier blocking immunotherapy from achieving its full potential. One form of immunosuppression is tumor-induced T cell senescence, which can be reversed by poly-G3 (poly-G), an activating ligand of the TLR8 pathway. However, the underlying mechanism of poly-G is not known. We hypothesize that poly-G prevents tumor-induced T cell senescence by downregulating tumor glucose metabolism. We tested this hypothesis by culturing cancer cells with or without the treatment of poly-G and measuring the levels of key metabolites from glucose metabolism. We found that poly-G treatment decreases the levels of key metabolites, especially those from glycolysis. Through quantitative RT-PCR, we found that the expression levels of various glycolytic proteins, including glucose transporters, glycolytic enzymes, and transcription factors in cancer cells are also reduced by poly-G treatment. Taken together, our results indicate that poly-G treatment prevents T cell senescence by downregulating tumor glucose metabolism, thus increasing glucose availability to T cells and alleviating T cell senescence. Our findings suggest that targeting tumor glucose metabolism may represent a novel approach to prevent tumor-induced immunosuppression and subsequently boost the efficacy of cancer immunotherapy.

Competition history

  • ISEF 2019 Biomedical and Health Sciences · Entry BMED014

Resources

Related projects

Closest projects by meaning, across every fair and year in the corpus.

Source: Regeneron International Science and Engineering Fair

Save projects to your library

Sign in with Google to keep track of projects you find interesting, organized into folders. Browsing stays public.

Continue with Google