Targeted Next Generation Sequencing Identifies Markers of Response to PD-1 Blockade

Douglas B Johnson1, Garrett M Frampton2, Matthew J Rioth3,4

  • 1Department of Medicine, Vanderbilt University Medical Center and Vanderbilt Ingram Cancer Center, Nashville, Tennessee. Douglas.b.johnson@vanderbilt.edu.

Cancer Immunology Research
|September 28, 2016
PubMed

Insights

High tumor mutational load, identified by next-generation sequencing (NGS), predicts better response to programmed death-1 (PD-1) blockade therapy in melanoma patients. This clinically feasible approach may guide treatment selection for improved outcomes.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Therapeutic antibodies targeting programmed death-1 (PD-1) and its ligand (PD-L1) offer durable responses in a significant proportion of melanoma patients.
  • Predicting response to these immunotherapies remains a clinical challenge.

Purpose of the Study:

  • To investigate the correlation between tumor mutational load and/or type, assessed by next-generation sequencing (NGS), and response to anti-PD-1/PD-L1 therapy in melanoma.
  • To evaluate the clinical feasibility of mutational load as a predictive biomarker.

Main Methods:

  • Archival melanoma samples from patients treated with anti-PD-1/PD-L1 were analyzed using hybrid capture-based NGS (236-315 genes) and T-cell receptor (TCR) sequencing.
  • Initial and validation cohorts from two centers were utilized.

Main Results:

  • Responders exhibited significantly higher mutational loads compared to non-responders in both initial (45.6 vs. 3.9 mutations/MB; P = 0.003) and validation (37.1 vs. 12.8 mutations/MB; P = 0.002) cohorts.
  • High mutation load groups showed superior response rates, progression-free survival, and overall survival.
  • Melanomas with NF1 mutations had high mutational loads (62.7 mutations/MB) and high response rates (74%). TCR clonality did not predict response.

Conclusions:

  • Tumor mutational load, determined by a clinically available NGS platform, effectively stratifies melanoma patients based on their likelihood of response to anti-PD-1/PD-L1 therapy.
  • This approach represents a potentially clinically feasible biomarker for predicting immunotherapy response.