Combined TCR Repertoire Profiles and Blood Cell Phenotypes Predict Melanoma Patient Response to Personalized

Asaf Poran1, Julian Scherer1, Meghan E Bushway1

  • 1Neon Therapeutics/BioNTech US, Cambridge, MA, USA.

Cell Reports. Medicine
|December 9, 2020
PubMed

Insights

Assessing T cell receptor repertoires and immune cell frequencies in peripheral blood can predict patient responses to personalized neoantigen cancer vaccines combined with anti-PD-1 therapy, aiding treatment decisions.

Area of Science:

  • Immunology
  • Oncology
  • Genomics

Background:

  • T cells recognize tumor neoantigens via T cell receptors (TCRs) to mediate anti-tumor activity.
  • Neoantigen-specific T cell-based immunotherapies are a promising strategy for cancer treatment.
  • Predicting treatment response is crucial for optimizing personalized cancer vaccines and immunotherapies.

Purpose of the Study:

  • To determine if peripheral blood immune cell analysis predicts response to personalized neoantigen cancer vaccine plus anti-PD-1 therapy.
  • To characterize T cell receptor (TCR) repertoires and T and B cell frequencies in patients receiving this treatment.

Main Methods:

  • TCR-α/β-chain sequencing was performed on peripheral blood samples from 21 metastatic melanoma patients.
  • Analysis included baseline and longitudinal assessment of TCR repertoires and immune cell frequencies.
  • Correlations between immune features and progression-free survival (PFS) were investigated.

Main Results:

  • Increased clonal baseline TCR repertoires and longitudinal repertoire stability were strongly associated with prolonged PFS.
  • Frequencies of antigen-experienced T and B cells correlated with TCR repertoire characteristics.
  • Baseline immune profiles effectively predicted PFS in patients treated with neoantigen vaccine and anti-PD-1 therapy.

Conclusions:

  • Peripheral blood immune cell analysis, including TCR repertoire assessment, can predict treatment response in metastatic melanoma.
  • This approach offers a practical method for evaluating patient immune status and guiding therapeutic decisions.
  • Immune profiling may enhance the efficacy of personalized cancer vaccines and combination immunotherapies.

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