Abstract
BACKGROUND: Immune checkpoint inhibitors (ICIs) therapy lacks viable biomarkers for response and prognosis prediction. This study aimed to investigate the correlation of peripheral blood laboratory test results combined with lymphocyte subset ratios to the response and prognosis of immunotherapy in advanced lung cancer. METHODS: Advanced lung cancer patients admitted to West China Hospital, Sichuan University from May 2021 to July 2023 were prospectively enrolled in this study. Clinical data and peripheral blood were collected before and after treatment and lymphocyte subset ratios were analyzed by flow cytometry. Logistic regression was used to identify factors correlated to ICIs treatment efficacy. Cox modeling was applied to explore the prognostic factors. RESULTS: Logistic regression showed that the baseline level of transcription factor T cell factor 1 (TCF1)+CD8+ T cell ratio and peripheral white blood cell (WBC) count, lymphocyte percentage, cytokeratin 19 fragment (CYFRA21-1) after 1 cycle of ICIs treatment were the potential predictors for ICIs response (P<0.05). Cox regression analysis showed that the baseline level of TCF1+CD8+ T cell ratio (P=0.020) and peripheral WBC count after 1 cycle of ICIs treatment (P<0.001) were prognostic factors. CONCLUSIONS: Patients with high baseline TCF1+CD8+ T cell ratio combined with low WBC counts and low CYFRA21-1 level after 1 cycle of ICIs treatment are more likely to benefit from ICIs therapy.