Genomic and immunologic correlates of LAG-3 expression in cancer

Anshuman Panda1, Jeffrey A Rosenfeld1, Eric A Singer1,2

  • 1Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.

Oncoimmunology
|September 14, 2020
PubMed

Insights

Immune checkpoint protein LAG-3 (Lymphocyte-Activation Gene 3) blockade shows promise in cancer treatment. This study identified key genomic and immune factors associated with LAG-3 expression across various cancers.

Area of Science:

  • Immunology
  • Oncology
  • Genomics

Background:

  • Immune checkpoint blockade therapies, targeting pathways like PD-1 and CTLA-4, have revolutionized cancer treatment.
  • Lymphocyte-Activation Gene 3 (LAG-3) is an emerging immune checkpoint target with agents in clinical development.
  • LAG-3 expression is a potential biomarker for response to LAG-3 blockade therapies.

Purpose of the Study:

  • To conduct a pan-cancer analysis of The Cancer Genome Atlas (TCGA) dataset.
  • To identify genomic and immunologic correlates associated with Lymphocyte-Activation Gene 3 (LAG-3) expression.
  • To determine which cancer types may benefit most from LAG-3 blockade.

Main Methods:

  • Pan-cancer analysis utilizing The Cancer Genome Atlas (TCGA) dataset.
  • Investigation of genomic features, including mutation burden and viral expression (EBV, HPV, ERV3-2).
  • Analysis of immune cell markers, specifically CD8+ T-cell marker (CD8A) and PD-L1 co-expression with LAG-3.

Main Results:

  • High tumor mutation burden and expression of exogenous (EBV, HPV) or endogenous retroviruses (ERV3-2) correlated with increased LAG-3 expression in multiple cancers.
  • CD8A and LAG-3 were generally co-expressed with each other and with PD-L1 across most cancer types.
  • Notable exceptions to strong CD8A/LAG-3/PD-L1 co-expression were observed in HPV+ head and neck squamous cell carcinoma, renal cell carcinoma, and glioblastoma.

Conclusions:

  • Genomic factors like high mutation burden and viral expression are associated with LAG-3 overexpression.
  • The co-expression patterns of LAG-3, CD8A, and PD-L1 vary across different cancer types.
  • These findings have significant implications for selecting patient populations and guiding clinical trial development for LAG-3 blockade therapies.