Value of derived neutrophil-to-lymphocyte ratio in predicting prognosis of extensive-stage small cell lung cancer patients treated with the first-line atezolizumab immunotherapy and chemotherapy / 肿瘤研究与临床

ABSTRACT

Objective:To investigate the value of derived neutrophil-to-lymphocyte ratio (dNLR) in predicting the prognosis of extensive-stage small cell lung cancer (ES-SCLC) patients treated with the first-line atezolizumab immunotherapy and chemotherapy.Methods:From the Project Data Sphere platform, the clinical data and laboratory test data of 53 ES-SCLC patients who received the first-line atezolizumab immunotherapy and chemotherapy in the global multicenter phase Ⅱ prospective study NCT03041311 from February 2017 to February 2022 were collected. The Contal-O'Quigley method was used to calculate the optimal cut-off value of baseline dNLR for determining the overall survival (OS) of patients. The dNLR higher than or equal to the optimal cut-off value was defined as high dNLR, and less than the optimal cut-off value was defined as low dNLR. According to optimal cut-off value, the dNLR levels at baseline and after 4 cycles of chemotherapy were determined, and dynamic dNLR grouping was performed (low risk: low dNLR at baseline and after 4 cycles of chemotherapy; intermediate risk: high dNLR at baseline or after 4 cycles of chemotherapy; high risk: high dNLR at baseline and after 4 cycles of chemotherapy). The differences in clinicopathological features between the baseline high dNLR group and low dNLR group were analyzed. Kaplan-Meier method was used to draw the OS and progression-free survival (PFS) curves, and log-rank test was used to compare the differences between the two groups. Univariate Cox proportional hazards model was used to analyze the influencing factors of OS and PFS. The time-dependent receiver operating characteristic (ROC) curve was used to evaluate the predictive value of baseline dNLR grouping and dynamic dNLR grouping for 1-year OS rate in ES-SCLC patients receiving the first-line atezolizumab immunotherapy and chemotherapy.Results:Among the 53 patients, 34 (64.20%) were male and 19 (35.80%) were female; 27 (50.90%) were < 65 years old and 26 (49.10%) were ≥65 years old. The optimal cut-off value of baseline dNLR for determining the OS was 1.79. There were 17 cases in low dNLR group and 36 cases in high dNLR group at baseline. The proportion of patients with elevated serum lactate dehydrogenase (LDH) in the baseline high dNLR group was higher than that in the baseline low dNLR group [58.33% (21/36) vs. 17.65% (3/17), χ2 = 7.72, P = 0.005]. The 1-year OS rates of the baseline high and low dNLR groups were 44.0% and 81.9%, and the 1-year PFS rates were 2.5% and 17.6%. The differences in OS and PFS between the two groups were statistically significant (both P < 0.05). There were 38 patients with complete dynamic dNLR data, including 9 cases of low-risk, 19 cases of medium-risk and 10 cases of high-risk, and the 1-year OS rates of the three groups were 90.0%, 67.5% and 33.3%, the difference in OS between the three groups was statistically significant ( P = 0.011). Univariate Cox regression analysis showed that baseline dNLR (low dNLR vs. high dNLR) was the influencing factor for OS of patients ( HR = 0.163, 95% CI 0.057-0.469, P = 0.001) and PFS ( HR = 0.505, 95% CI 0.268-0.952, P = 0.035). Time-dependent ROC curve analysis showed that the area under the curve (AUC) of baseline dNLR grouping and dynamic dNLR grouping for predicting 1-year OS rate of ES-SCLC patients receiving the first-line atezolizumab combined with chemotherapy was 0.674 (95% CI 0.575-0.887) and 0.731 (95% CI 0.529-0.765). Conclusions:Baseline and dynamic dNLR grouping may be effective markers for predicting the prognosis of ES-SCLC patients receiving the first-line atezolizumab immunotherapy and chemotherapy.