A Palette of Cytokines to Measure Anti-Tumor Efficacy of T Cell-Based Therapeutics

Abstract

Cytokines are key molecules within the tumor microenvironment (TME) that can be used as biomarkers to predict the magnitude of anti-tumor immune responses. During immune monitoring, it has been customary to predict outcomes based on the abundance of a single cytokine, in particular IFN-γ or TGF-β, as a readout of ongoing anti-cancer immunity. However, individual cytokines within the TME can exhibit dual opposing roles. For example, both IFN-γ and TGF-β have been associated with pro- and anti-tumor functions. Moreover, cytokines originating from different cellular sources influence the crosstalk between CD4+ and CD8+ T cells, while the array of cytokines expressed by T cells is also instrumental in defining the mechanisms of action and efficacy of treatments. Thus, it becomes increasingly clear that a reliable readout of ongoing immunity within the TME will have to include more than the measurement of a single cytokine. This review focuses on defining a panel of cytokines that could help to reliably predict and analyze the outcomes of T cell-based anti-tumor therapies.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 16, 2021
Source ID
10.3390/cancers13040821

Entities

People

  • Diana Saleiro
  • Dinesh Jaishankar
  • I Caroline Le Poole
  • Prathyaya Ramesh
  • Rohan Shivde

Organizations

  • National Institute of Arthritis and Musculoskeletal and Skin Diseases
  • United States Department of Defense

Tags

Fields of Study

  • Medicine

Readers

  • Immunology
  • Oncology and Biomarker-Based Cancer Detection.
  • Systems Analysis and Design