Transcriptome Profiling Identifies TIGIT as a Marker of T-Cell Exhaustion in Liver Cancer

Dmitrij Ostroumov1, Steven Duong1, Jessica Wingerath1

  • 1Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany.

Abstract

Insights

T-cell exhaustion in liver cancer involves T-cell immunoreceptor with immunoglobulin and immunoreceptor tyrosine-based inhibitor motif domains (TIGIT). Targeting TIGIT with PD-1 inhibition synergistically inhibits liver cancer growth, offering a new therapeutic strategy.

Area of Science:

  • Immunology
  • Oncology
  • Molecular Biology

Background:

  • Programmed death 1 (PD-1) inhibition shows promise for hepatocellular carcinoma but doesn't fully address T-cell dysfunction.
  • The roles of other coinhibitory molecules in liver cancer T-cell exhaustion are not well understood.

Purpose of the Study:

  • To comprehensively profile mRNA in cluster of differentiation 8 (CD8) T cells during liver cancer progression.
  • To identify novel targets for overcoming T-cell exhaustion in liver cancer.

Main Methods:

  • Performed comprehensive mRNA profiling of CD8 T cells in a murine liver cancer model.
  • Compared transcriptomes of naive, effector, and exhausted CD8 T cells.
  • Functionally validated identified genes in T-cell exhaustion.

Main Results:

  • Discovered a unique transcriptome signature for exhausted T cells.
  • Identified T-cell immunoreceptor with immunoglobulin and immunoreceptor tyrosine-based inhibitor motif domains (TIGIT) as a key marker of T-cell exhaustion in liver cancer.
  • TIGIT expression reliably identified exhausted CD8 T cells and, when combined with PD-1 inhibition, synergistically reduced liver cancer growth.

Conclusions:

  • Transcriptome analysis offers insights into T-cell exhaustion pathways in liver cancer.
  • TIGIT is a promising target for combination immunotherapy in liver cancer.
  • TIGIT expression in tumor-infiltrating CD8 T cells can stratify patients for targeted therapies.

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