Immune checkpoint inhibitors (ICI) considerably improve overall survival of advanced nonsmall cell lung cancer (NSCLC) patients. However, it has certain limitations, such as low response rates. Although programmed death-ligand 1 (PD-L1) expression is currently used as a representative predictive biomarker, it cannot robustly predict response; thus, identifying other dynamic biomarkers to ensure better selection of patients susceptible for ICI therapy is required. Pattern identification is a diagnostic system used in oriental medicine and is performed through collecting and analyzing a series of symptoms and characteristic signs. We intended to analyze the association between survival, treatment response, and immune profile evaluated on every visit according to different pattern identifications and determine how pattern identification changes during the course of NSCLC treated with ICI. Across 10 academic hospitals, 200 patients diagnosed with stage Ⅲb-Ⅳ NSCLC and scheduled for ICI monotherapy (pembrolizumab or atezolizumab) as second-line or more treatment following platinum-based first-line treatment for NSCLC will be recruited. Throughout the study, participants are expected to exhibit different immune profiles according to pattern identification in association with treatment response and survival. The primary endpoint is progression-free survival (PFS), while secondary endpoints are overall survival (OS), objective response rate (ORR), and immune profile, all of which will be analyzed in association with pattern identification. Approximately 10 mL blood samples will be obtained from each patient. Results from the analysis of immune cells and cytokines will be analyzed together with pattern identification. Results from the analysis of differences in survival, treatment response, and immune profile, together with pattern identification for NSCLC patients during ICI therapy, will have significant scientific and medical contributions, and will provide comprehensive data to identify pattern identification-based immune biomarkers for predicting survival and treatment response of ICI therapy for NSCLC patients. Ethical approval has been obtained from the medical ethics committees of 10 academic hospitals. All amendments to the research protocol were submitted and approved. This trial is registered in Clinical Research Information Service (CRIS) of the Republic of Korea with the number KCT0005173. Registration date: July 22, 2020 (version 3.0).
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