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Updated: Aug 16, 2026

Semi-automatic PD-L1 Characterization and Enumeration of Circulating Tumor Cells from Non-small Cell Lung Cancer Patients by Immunofluorescence
Published on: August 14, 2019
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.
Background:
Immune checkpoint inhibitors (ICIs) have improved outcomes in advanced non-small cell lung cancer (NSCLC), but clinical benefit remains heterogeneous and is not fully explained by programmed death-ligand 1 (PD-L1) expression or tumour mutational burden (TMB). We explored whether whole-exome sequencing (WES) of circulating tumour DNA (ctDNA) could identify mutational and copy-number (CN) signatures associated with outcome in advanced NSCLC treated with first-line ICI.
Methods:
Baseline plasma ctDNA from 37 patients with advanced NSCLC treated with first-line ICI or chemo-ICI was analysed by WES. Single-base substitution (SBS), indel (InD) and CN signatures were inferred using COSMIC-based signature frameworks. SBS signatures reflect point mutation patterns, including clock-like processes that accumulate with age; indel signatures reflect small insertions and deletions; and CN signatures summarise structural changes such as chromosomal gains and loss of heterozygosity. Signatures were integrated with PD-L1 status, TMB, progression-free survival (PFS) and overall survival (OS). Patients were classified into four clinicogenomic groups according to PD-L1 expression and PFS.
Results:
Median PFS and OS were 9 and 20 months, respectively. Single-nucleotide-variant-derived TMB (TMB-SNV) was similar in patients with adverse and favourable outcomes, and patients with TMB-SNV >10 mutations/Mb were evenly distributed between both groups. The SBS profile was mainly represented by the clock-like signatures SBS1, SBS5 and by the tobacco-like signature SBS92, whereas indel signatures were mostly represented by InD4a and InD10. CN signatures showed the most apparent separation between outcome groups. CN9 exposure, a marker of structurally unstable genomes, was higher in adverse-outcome patients and most prominent in Group 1 (PD-L1 ≥50% and adverse outcome), whilst CN21 exposure was highest in Group 4 (PD-L1 ≥50% and favourable outcome). No signature retained statistical significance after correction for multiple testing.
Conclusions:
In this exploratory cohort, ctDNA-derived CN signatures may capture structural genomic phenotypes associated with ICI outcome beyond PD-L1 and TMB. CN9 emerged as a candidate resistance-associated signature, whereas CN21 was associated with more favourable disease control. These findings are hypothesis-generating and require validation in larger prospective cohorts.
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.

