Noninvasive Early Identification of Therapeutic Benefit from Immune Checkpoint Inhibition

Barzin Y Nabet1, Mohammad S Esfahani2, Everett J Moding1

  • 1Department of Radiation Oncology, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA.

Cell
|October 2, 2020
PubMed

Insights

Predicting durable clinical benefit in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs) is challenging. A new noninvasive assay integrating circulating tumor DNA (ctDNA) and immune cell profiling accurately forecasts patient outcomes early.

Area of Science:

  • Oncology
  • Immunotherapy
  • Molecular Diagnostics

Background:

  • Immune checkpoint inhibitors (ICIs) offer durable responses in non-small cell lung cancer (NSCLC), but most patients experience early progression.
  • Conventional imaging lacks accuracy in predicting durable clinical benefit (DCB) from ICIs.
  • Identifying patients likely to benefit from ICIs remains a critical unmet need.

Purpose of the Study:

  • To identify noninvasive biomarkers for predicting durable clinical benefit (DCB) in NSCLC patients receiving ICIs.
  • To develop and validate a multiparameter assay for early and accurate outcome prediction.

Main Methods:

  • Analysis of pre-treatment circulating tumor DNA (ctDNA) and peripheral CD8 T cell levels.
  • Monitoring ctDNA dynamics after the first ICI infusion.
  • Development and validation of the noninvasive DIREct-On assay integrating these biomarkers.

Main Results:

  • Pre-treatment ctDNA and CD8 T cell levels were independently associated with DCB.
  • ctDNA dynamics post-infusion further aided in identifying patients with DCB.
  • The integrated DIREct-On assay demonstrated higher accuracy in predicting DCB than individual markers.

Conclusions:

  • Integrated ctDNA and immune cell profiling provide accurate, noninvasive, and early prediction of outcomes for NSCLC patients on ICIs.
  • The DIREct-On assay offers a promising tool for optimizing immunotherapy selection and management in NSCLC.
  • This approach may improve treatment strategies by enabling early identification of patients likely to achieve durable responses.