ctDNA-derived copy-number signatures associated with immune checkpoint inhibitor resistance beyond PD-L1 and TMB in

Pedro Gonzalez Santa-Catalina1,2, Luis Posado-Domínguez1,2, Álvaro López-Gutiérrez1,2

  • 1Medical Oncology Department, Salamanca University Hospital, Salamanca, Spain.

Frontiers in Oncology
|August 15, 2026
PubMed
Abstract

Insights

Copy-number (CN) signatures from circulating tumor DNA (ctDNA) show promise in predicting outcomes for advanced non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs). CN signatures may offer insights beyond PD-L1 and tumor mutational burden (TMB).

Area of Science:

  • Genomics
  • Cancer Research
  • Immunotherapy

Background:

  • Immune checkpoint inhibitors (ICIs) improve outcomes in advanced non-small cell lung cancer (NSCLC).
  • Clinical benefit from ICIs is heterogeneous and not fully explained by PD-L1 expression or tumor mutational burden (TMB).
  • Whole-exome sequencing (WES) of circulating tumor DNA (ctDNA) may identify novel biomarkers.

Purpose of the Study:

  • To explore if ctDNA-derived mutational and copy-number (CN) signatures can predict outcomes in advanced NSCLC patients receiving first-line ICI therapy.
  • To investigate genomic signatures beyond PD-L1 and TMB.

Main Methods:

  • WES analysis of baseline plasma ctDNA from 37 advanced NSCLC patients treated with first-line ICI or chemo-ICI.
  • Inference of single-base substitution (SBS), indel (InD), and CN signatures using COSMIC-based frameworks.
  • Integration of signatures with PD-L1 status, TMB, progression-free survival (PFS), and overall survival (OS).

Main Results:

  • Median PFS and OS were 9 and 20 months, respectively.
  • TMB-SNV did not clearly separate patients with adverse versus favorable outcomes.
  • CN signatures showed separation between outcome groups: CN9 (structural instability) was higher in adverse outcomes, while CN21 was higher in favorable outcomes.
  • No signature remained statistically significant after multiple testing correction.

Conclusions:

  • ctDNA-derived CN signatures may identify genomic phenotypes associated with ICI outcomes in advanced NSCLC, potentially beyond PD-L1 and TMB.
  • CN9 is a candidate resistance-associated signature, and CN21 is associated with favorable disease control.
  • Findings are exploratory and require validation in larger prospective cohorts.

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