1. Predictive Value of Combining Biomarkers for Clinical Outcomes in Advanced Non-Small Cell Lung Cancer Patients Receiving Immune Checkpoint Inhibitors
- Author
-
Yuan Wu, Chester Kao, Tian Zhang, Neal Ready, Michael B. Datto, Eric Powers, Jeffrey M. Clarke, John H. Strickler, and Michelle F. Green
- Subjects
Adult ,Male ,0301 basic medicine ,Pulmonary and Respiratory Medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Lung Neoplasms ,medicine.medical_treatment ,Pembrolizumab ,03 medical and health sciences ,0302 clinical medicine ,Carcinoma, Non-Small-Cell Lung ,Internal medicine ,PD-L1 ,Outcome Assessment, Health Care ,Biomarkers, Tumor ,medicine ,Humans ,Lung cancer ,Immune Checkpoint Inhibitors ,Survival analysis ,Aged ,Retrospective Studies ,Aged, 80 and over ,biology ,Proportional hazards model ,business.industry ,Hazard ratio ,Area under the curve ,Immunotherapy ,Middle Aged ,medicine.disease ,030104 developmental biology ,030220 oncology & carcinogenesis ,biology.protein ,Female ,business - Abstract
Introduction A high tumor mutational burden (TMB) (≥10 mut/Mb) has been associated with improved clinical benefit in non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICI) and is a tumor agnostic indication for pembrolizumab across tumor types. We explored whether combining TMB with programmed cell death ligand 1 (PD-L1) and pretreatment neutrophil-lymphocyte ratio (NLR) was associated with improved outcomes in ICI-treated NSCLC. Methods We retrospectively analyzed patients treated with ICI with Foundation One genomic testing, including TMB. Optimal cutoff for prediction of response by TMB was determined by receiver operating characteristic analysis, and area under the curve (AUC) was calculated for all 3 biomarkers and combinations. Cox model was used to assess prognostic factors of overall survival (OS) and time to progression (TTP). Survival cutoffs calculated with Kaplan-Meier survival curves were TMB ≥10 mut/Mb, PD-L1 ≥50%, NLR Results Data from 88 patients treated were analyzed. The optimal TMB cutoff was 9.24 mut/Mb (AUC, 0.62), improving to 0.74 combining all 3 biomarkers. Adjusted Cox model showed that TMB ≥10 mut/Mb was an independent factor of OS (hazard ratio [HR], 0.31; 95% confidence interval; 0.14-0.69; P = .004) and TTP (HR, 0.46; 95% CI, 0.27-0.77; P = .003). The combination of high TMB with positive PD-L1 and low NLR was significantly associated with OS (P = .038) but not TTP. Conclusions TMB has modest predictive and prognostic power for clinical outcomes after ICI treatment. The combination of TMB, PD-L1, and NLR status improves this power.
- Published
- 2021
- Full Text
- View/download PDF