Publication | Open Access
Genomic Features of Response to Combination Immunotherapy in Patients with Advanced Non-Small-Cell Lung Cancer
1.2K
Citations
56
References
2018
Year
ImmunologyPathologyImmune Cell TherapyImmunotherapyGenomic FeaturesTumor BiologyCombination ImmunotherapyOncologyRadiation OncologyTumor MicroenvironmentLung CancerCancer ImmunosurveillanceLow TmbCancer GenomicsBronchial NeoplasmImmune Checkpoint InhibitorCombination TherapyTmb Low NsclcsMedicine
Combination immune checkpoint blockade shows promise in lung cancer, yet predictors of response remain unknown. The study used whole‑exome sequencing of NSCLC tumors from patients receiving PD‑1 plus CTLA‑4 blockade to assess tumor mutation burden. High tumor mutation burden was the strongest independent predictor of objective response, durable benefit, and progression‑free survival, whereas low TMB was associated with poor response, indicating that combination therapy does not overcome the negative predictive impact of low TMB. TMB should be incorporated in future trials examining PD‑(L)1 with CTLA‑4 blockade in NSCLC.
Combination immune checkpoint blockade has demonstrated promising benefit in lung cancer, but predictors of response to combination therapy are unknown. Using whole-exome sequencing to examine non-small-cell lung cancer (NSCLC) treated with PD-1 plus CTLA-4 blockade, we found that high tumor mutation burden (TMB) predicted improved objective response, durable benefit, and progression-free survival. TMB was independent of PD-L1 expression and the strongest feature associated with efficacy in multivariable analysis. The low response rate in TMB low NSCLCs demonstrates that combination immunotherapy does not overcome the negative predictive impact of low TMB. This study demonstrates the association between TMB and benefit to combination immunotherapy in NSCLC. TMB should be incorporated in future trials examining PD-(L)1 with CTLA-4 blockade in NSCLC.
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