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A transcriptional evaluation of the melanoma and squamous cell carcinoma TIL compartment reveals an unexpected spectrum of exhausted and functional T cells. | LitMetric

AI Article Synopsis

  • There are different types of CD8 T cells in tumors, including a subpopulation that appears exhausted but might still have some activity, which is important for understanding cancer treatment outcomes.
  • The study examined exhausted T cells from melanoma tumors to discover how they work and why they don’t function well, using techniques like genetic profiling and single-cell analysis.
  • Researchers found new pathways related to metabolism and immune signaling in these exhausted T cells that could serve as potential targets for new cancer therapies to boost immune responses against tumors.

Article Abstract

Introduction: Significant heterogeneity exists within the tumor-infiltrating CD8 T cell population, and exhausted T cells harbor a subpopulation that may be replicating and may retain signatures of activation, with potential functional consequences in tumor progression. Dysfunctional immunity in the tumor microenvironment is associated with poor cancer outcomes, making exploration of these exhausted T cell subpopulations critical to the improvement of therapeutic approaches.

Methods: To investigate mechanisms associated with terminally exhausted T cells, we sorted and performed transcriptional profiling of CD8 tumor-infiltrating lymphocytes (TILs) co-expressing the exhaustion markers PD-1 and TIM-3 from large-volume melanoma tumors. We additionally performed immunologic phenotyping and functional validation, including at the single-cell level, to identify potential mechanisms that underlie their dysfunctional phenotype.

Results: We identified novel dysregulated pathways in CD8PD-1TIM-3 cells that have not been well studied in TILs; these include bile acid and peroxisome pathway-related metabolism and mammalian target of rapamycin (mTOR) signaling pathways, which are highly correlated with immune checkpoint receptor expression.

Discussion: Based on bioinformatic integration of immunophenotypic data and network analysis, we propose unexpected targets for therapies to rescue the immune response to tumors in melanoma.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643547PMC
http://dx.doi.org/10.3389/fonc.2023.1200387DOI Listing

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