NKG2D Ligands in Liquid Biopsy: The Importance of Soluble and Vesicle-Bound Proteins for Immune Modulation

Carmen Campos-Silva1, Silvia López-Borrego1, María José Felgueres1

  • 1Department of Immunology and Oncology, National Centre for Biotechnology, Spanish National Research Council (CNB-CSIC), Madrid, Spain.

Insights

Identifying biomarkers for cancer patient management is crucial. Evaluating the Natural Killer Group 2 Member D (NKG2D) system in liquid biopsies offers insights into immune competence and tumor progression risk.

Area of Science:

  • Oncology
  • Immunology
  • Biomarker Discovery

Background:

  • Biomarker identification for cancer diagnostics, prognostics, and patient classification remains a significant challenge.
  • Immunotherapies highlight the importance of patient immune competence alongside cellular pathways in cancer progression.
  • The Natural Killer Group 2 Member D (NKG2D) receptor and its ligands play a key role in tumor cell recognition by lymphocytes and immune evasion.

Approach:

  • This review examines the biology of the NKG2D receptor and its ligands in cancer.
  • It explores their involvement in patient response to immunotherapies and the impact of non-immune cancer therapies.
  • The potential of NKG2D ligands (NKG2D-L) in liquid biopsy, including analysis of vesicle-associated proteins, is discussed.

Key Points:

  • NKG2D-L can be expressed on cell surfaces, released as soluble proteins, or enclosed in extracellular vesicles, which can inhibit NKG2D-mediated responses.
  • Elevated serum levels of NKG2D-L correlate with tumor progression and poorer prognosis.
  • The biochemical form of NKG2D-L is critical for understanding their biological activity.

Conclusions:

  • The NKG2D system, including receptor and ligands, is implicated in cancer immune evasion and response to immunotherapy.
  • Evaluating the complete NKG2D system, particularly NKG2D-L in liquid biopsies, can provide vital information on patient immune status.
  • This comprehensive assessment can aid in predicting tumor progression risk and guiding patient management strategies.