T cell characteristics associated with toxicity to immune checkpoint blockade in patients with melanoma

Alexander X Lozano1,2, Aadel A Chaudhuri3,4,5,6, Aishwarya Nene7

  • 1Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.

Nature Medicine
|January 14, 2022
PubMed

Insights

Pre-treatment T cell factors, including activated CD4 memory T cell abundance and T cell receptor (TCR) diversity, predict severe immune-related adverse events (irAEs) in melanoma patients receiving immune checkpoint inhibitors (ICIs). These findings aid in predicting and managing ICI toxicity.

Area of Science:

  • Immunology
  • Oncology
  • Genomics

Background:

  • Severe immune-related adverse events (irAEs) affect up to 60% of melanoma patients treated with immune checkpoint inhibitors (ICIs).
  • The underlying immunological predictors of irAE development remain largely unknown.
  • Understanding these predictors is crucial for managing ICI-induced toxicity.

Purpose of the Study:

  • To identify baseline immunological factors in peripheral blood associated with severe irAE development in melanoma patients undergoing ICI therapy.
  • To explore the relationship between T cell receptor (TCR) clonality and irAEs during combination ICI treatment.

Main Methods:

  • Mass cytometry by time of flight, single-cell RNA sequencing, single-cell V(D)J sequencing, bulk RNA sequencing, and bulk TCR sequencing were employed.
  • Analysis of 93 pre- and early on-ICI peripheral blood samples from three patient cohorts (n=27, 26, 18).
  • Investigated circulating T cell characteristics and TCR diversity.

Main Results:

  • Two pretreatment factors—activated CD4 memory T cell abundance and TCR diversity—were significantly associated with severe irAE development.
  • These associations were independent of the specific organ system affected by irAEs.
  • On-treatment TCR clonality changes were explored in relation to irAE severity and timing.

Conclusions:

  • Circulating T cell characteristics at baseline can predict the development of severe irAEs in patients treated with ICIs.
  • These findings have implications for improved diagnostics and clinical management of ICI-induced toxicity.
  • Further research can leverage these biomarkers for personalized treatment strategies.

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