Introduction: Targeted therapy is the main treatment option for oncogene-addicted non-small cell lung cancer (NSCLC). It is known that inflammation can affect survival. Therefore, we aimed to evaluate the effect of host inflammation on survival and treatment outcome by using the derived neutrophil-lymphocyte ratio (dNLR) and systemic immune-inflammation index (SII). Material and methods: The advanced epidermal growth factor receptor mutant NSCLC patients diagnosed between 2014 and 2019 were included. SII and dNLR were calculated from pretreatment blood samples. The estimated cutoff for SII and dNLR were 640 and 2, respectively. Progression-free survival and overall survival were calculated by using the Kaplan–Meier test. Results: One hundred thirty six patients enrolled in the study. Of the total patients, 34.6% and 65.4% were SII-low and high, respectively. In addition, 58.1% and 41.9% of the patients were dNLR-low and high groups, respectively. The progression-free survival was better in low SII (22.4 vs. 13.01 months, HR: 0.50; 95% CI 0.32–0.80; P: 0.003) and low dNLR groups (16.9 vs. 13.01 months, HR, 0.58; 95% CI 0.38–0.88; P: 0.011). The overall survival was also significantly longer in SII-low and dNLR-low groups (32.4 vs. 20.4 months; HR, 0.47; 95% CI 0.27–0.81; P: 0.005 for SII and 32.4 vs. 18.4 months HR: 0.40; 95% CI 0.24–0.66; P < 0.001 for dNLR). Conclusion: Based on the results of our study, both SII and dNLR can be routinely used as the simple, inexpensive and easily assessable prognostic markers in oncogene-addicted NSCLC.

Objective: The objective of this article is to review the efficacy, safety, and evidence for current use and potential future uses of immune-checkpoint inhibitors (ICIs) in the management of resectable non-small cell lung cancer (NSCLC). Data sources: A literature review was carried out through PubMed to identify completed and ongoing clinical trials evaluating the use, efficacy, and safety of ICIs in the management of resectable NSCLC. Data summary: To date, four phase 3 trials have emerged that have changed our treatment practice concerning the utilization of ICIs during the adjuvant and neoadjuvant settings. The IMpower010 and KEYNOTE-091 trials examined the application of adjuvant atezolizumab and pembrolizumab, respectively, following surgical resection and adjuvant chemotherapy. In the CheckMate 816 trial, the combination of nivolumab and chemotherapy as a neoadjuvant therapy received approval for patients with resectable NSCLC. Also, for patients with resectable NSCLC, the use of a pembrolizumab and chemotherapy combination as a perioperative therapy received approval based on the results of the KEYNOTE-671 trial. Apart from these trials, there are numerous phase 2 and phase 3 trials, some of which have been published while others are still in progress. Conclusion: Despite the promising outcomes from these trials there remain several unanswered questions. In this review, we will assess clinical trials involving adjuvant, neoadjuvant, and perioperative ICIs, aiming to address the unresolved questions related to these therapeutic approaches.

Programmed death ligand 1 (PD-L1) is a marker that widely used for prediction of response to immunotherapy. Dynamic alteration of PD-L1 expression are the major problems for reflection of the actual status of the PD-L1. So, we aimed to investigate the factors that may be associated with PD-L1 expression in lung cancer. The patients diagnosed with non-small cell lung cancer were enrolled, retrospectively. The patients were stratified according to PD-L1 expression level as ≥ 50% and < 50%. Totally, 217 patients were enrolled. The clinicopathologic features were similar between two groups, except the amount of cigarette consumption. Neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, and systemic immune-inflammmotry index were found significantly lower in PD-L1 ≥ 50% (p< 0.001, p= 0.006 and p= 0.003, respectively) and also negatively correlated with PD-L1 level (rho= -0.255, p< 0.001; rho= -0.17, p= 0.013; rho= - 0.185, p= 0.006, respectively). According to the results of our study, peripheral blood parameters can be used to the prediction of the high PD-L1 expression and can be used for reflection of current PD-L1 expression.