Tumor mutational burden as a predictor of immune-related adverse events in patients with advanced non-small cell lung cancer receiving immune checkpoint inhibitors: a Brief Report.
Abstract
Background
Tumor mutational burden (TMB) has been established as a predictor of response to immune checkpoint inhibitors (ICI) ± chemotherapy in advanced non-small cell lung cancer (NSCLC). However, less is known about its role as a predictor of immune-related adverse events (irAEs)
Methods
This monocentric cohort study included patients with advanced NSCLC receiving ICI±chemotherapy who had available TMB assessed by OncoPanel next-generation sequencing. Baseline TMB was correlated with irAEs using both logistic regression and Cox-proportion hazard model. Multiplex immunofluorescence (mIF) was used to assess immune cells density (CD8+, PD-1+, CD8+/PD-1+, FOXP3+) in tumor tissue according to TMB.
Results
Among 1215 patients with advanced NSCLC receiving ICI±chemotherapy, 63.4% were treated with ICI alone, 61.4% were treated in first-line. A total of 421 (34.7%) patients developed irAEs. Higher baseline TMB was associated with a increased risk of developing irAEs (adjusted OR [aOR] 1.04, p<0.001) and earlier irAEs onset (aHR 1.02, p=0.002). Baseline TMB≥90th percentile (19 mut/Mb) was the strongest predictor of both increased irAEs risk (aOR 2.14, p<0.001) and earlier irAEs onset (aHR 1.58, p=0.004), compared to TMB<90th percentile. Using a 6, 9, and 12 weeks landmark analysis, adjusting for age, sex, ECOG-PS, PD-L1, and treatment type, TMB ≥90th percentile was associated with a higher risk of irAEs at 6,9, and 12 weeks. Tumors with TMB≥90th percentile were enriched of CD8+ cells (p=0.04) compared to tumors with TMB<90th percentile.
Conclusion
These findings indicate that high TMB, particularly TMB≥19 mut/Mb, is associated with increased risk and earlier irAEs onset, independently from longer immunotherapy exposure. This association appears biologically driven by tumors enriched in CD8+ cells, supporting the role of elevated TMB as an irAEs biomarker.