Systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio can predict clinical outcomes in patients with metastatic non-small-cell lung cancer treated with nivolumab.

Explore markers to predict the clinical outcomes of checkpoint inhibitors have high unmet needs. The following study investigates whether hematologic parameter such as systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) is associated with nivolumab efficacy in advanced non-small-cell lung cancer (NSCLC). Advanced/metastatic NSCLC patients treated with nivolumab monotherapy for second-line or further-line treatment at Jilin Cancer Hospital between March 2016 and July 2018 were enrolled in this retrospective study. The optimal cutoff values of SII, NLR, and PLR for predicting efficacy and prognosis were determined according to receiver operating characteristic (ROC) curve and the areas under the ROC curve. Progression-free survival (PFS) and overall survival (OS) were calculated and compared using Kaplan-Meier method and log-rank test. Prognostic values of each variable were evaluated with univariate and multivariate Cox proportional hazard regression (PHR) analyses. A total of 44 patients with advanced NSCLC were included; the median age was 60 (range: 43-74). The optimal cutoff value of SII/NLR/PLR predicted PFS and OS was 603.5, 3.07, and 144. Low SII, NLR, and PLR were associated with longer PFS (HR for SII = 0.34, 95%CI 0.15-0.76, P = 0.006; HR for NLR = 0.46, 95%CI 0.22-0.99, P = 0.048; HR for PLR = 0.39, 95%CI 0.17-0.94, P = 0.025) and OS (HR for SII = 0.16, 95%CI 0.05-0.51, P = 0.005; HR for NLR = 0.20, 95%CI 0.06-0.62, P = 0.002; HR for PLR = 0.20, 95%CI 0.06-0.73, P = 0.008). NLR ≤ 3.07, PLR ≤ 144, SII ≤ 603.5 were independently associated with longer PFS and OS. The SII, NLR, and PLR are promising prognostic predictor for patients with metastatic NSCLC patients.

Liu J ，Li S ，Zhang S ，Liu Y ，Ma L ，Zhu J ，Xin Y ，Wang Y ，Yang C ，Cheng Y ... -  《-》

Neutrophil-to-Lymphocyte ratio (NLR) and Platelet-to-Lymphocyte ratio (PLR) as prognostic markers in patients with non-small cell lung cancer (NSCLC) treated with nivolumab.

Immunotherapy with the programmed death receptor-1 (PD-1) antibody nivolumab has changed the field of metastatic non-small cell lung cancer (NSCLC) treatment. Nivolumab shows better outcome compared to standard second line chemotherapy, but reliable prognostic markers are lacking. High neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are markers of host inflammation and associated with worse overall survival (OS) in several tumor types, but have not been analysed extensively in lung cancer in the era of immunotherapy. Patients with metastatic NSCLC treated with nivolumab were enrolled. Pre-treatment NLR and PLR were calculated by division of neutrophils and platelets by lymphocytes measured in peripheral blood. Cox regression analyses were conducted to study the prognostic role of NLR and PLR on OS and progression free survival (PFS). Logistic regression was used to study the association of NLR and PLR. The combined impact of NLR and other known prognostic factors was explored with multivariable regression. Fifty-two patients were included. Elevated NLR was associated with worse OS (HR for log(NLR)=3.64, 95% CI 1.78-7.46, p<0.001) and lower response rates (OR for log(NLR)=0.17, 95% CI 0.04-0.68, p=0.013). There was no significant association with PFS (HR for log(NLR)=1.46, 95% CI=0.91-2.34, p=0.114). The AUC for the prediction of 10-month survival using log(NLR) was 0.738, the AUC for the prediction of response to nivolumab was 0.776. Relationships with PLR were similar. NLR and PLR didn't correlate with other known prognostic factors (i.e histology, tobacco use, ECOG performance status,) in our cohort. Inclusion of NLR in multivariable models with these other factors significantly improved the prediction of OS. Elevated pre-treatment NLR and PLR are associated with shorter OS and PFS and with lower response rates in patients with metastatic NSCLC treated with nivolumab independently of other prognostic factors.

Diem S ，Schmid S ，Krapf M ，Flatz L ，Born D ，Jochum W ，Templeton AJ ，Früh M ... -  《-》

Predictive value of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio in non-small cell lung cancer patients treated with immune checkpoint inhibitors: A meta-analysis.

High neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) are associated with poor prognosis in cancer patients treated with Immune checkpoint inhibitors (ICIs). However, whether this relationship exists in non-small cell lung cancer (NSCLC) patients remains unclear. Thus, this meta-analysis was conducted to investigate the prognostic role of NLR and PLR in NSCLC treated with ICIs. Eligible studies that evaluated the value of pre-treatment or post-treatment NLR/PLR in NSCLC patients received ICIs were obtained by searching PubMed, Web of Science, Cochrane Library, and EMBASE. The pooled hazard ratio (HR) and 95% confidence interval (CI) were used to assess the relationship between NLR/PLR and overall survival (OS) and progression-free survival (PFS). Subgroup analysis and publication bias were conducted to investigate heterogeneity. 1845 NSCLC patients from 21 studies were included and three ICIs(nivolumab, pembrolizumab, and atezolizumab) were used. Overall, high NLR was associated with poor OS (HR: 2.50, 95% CI:1.79-3.51, P < 0.001) and PFS (HR: 1.77, 95% CI:1.51-2.01, P < 0.001). Subgroup analyses were consistent with the pooled results. Similarly, the pooled results for PLR showed that elevated PLR was related to inferior OS (HR: 1.93, 95% CI: 1.51-2.01, P < 0.001) and PFS (HR: 1.57, 95%CI: 1.30-1.90, P < 0.001). However, the subgroup analysis based on test time indicated that there was no significant correlation between post-treatment PLR and survival outcomes. NLR and pre-treatment PLR could serve as prognostic biomarkers in NSCLC patients treated with ICIs. However, the value of post-treatment PLR needs further to be evaluated.

Zhang N ，Jiang J ，Tang S ，Sun G ... -  《-》

High systemic immune-inflammation index predicts poor prognosis in advanced lung adenocarcinoma patients treated with EGFR-TKIs.

Deng C ，Zhang N ，Wang Y ，Jiang S ，Lu M ，Huang Y ，Ma J ，Hu C ，Hou T ... -  《-》

The Value of the Systemic Immune-Inflammation Index in Predicting Survival Outcomes in Patients with Brain Metastases of Non-Small-Cell Lung Cancer Treated with Stereotactic Radiotherapy.

As a parameter integrating platelet (P), neutrophil (N), and lymphocyte (L) levels, the systemic immune-inflammation index (SII) has been used as a prognostic marker for patient survival in various types of solid malignant tumors. However, there is no in-depth study in non-small-cell lung cancer (NSCLC) patients with brain metastases after stereotactic radiotherapy. Therefore, we performed a retrospective analysis to determine the clinical and prognostic value of the SII in NSCLC patients with brain metastases who underwent stereotactic radiotherapy. We enrolled 124 NSCLC patients with brain metastases treated with stereotactic radiotherapy in our hospital between May 2015 and June 2018. We obtained all baseline blood samples within one week prior to stereotactic radiotherapy. The SII was calculated by the following formula: neutrophil counts × platelet counts/lymphocyte counts. The optimal cutoff value of the SII for predicting prognosis was assessed by receiver operating characteristic (ROC) curves with the maximum log-rank values. The discriminative ability of predicting prognosis was calculated and compared using the Kaplan-Meier method and log-rank test. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the prognostic impact of the blood index on overall survival (OS) and progression-free survival (PFS). Only those parameters that proved to be associated with statistically significant differences in clinical outcomes were compared in multivariate analysis using a multiple Cox proportional hazard regression model to identify independent prognostic factors. Of the total enrolled patients, 53.2% and 46.8% have high SII and low SII, respectively. In this study, Kaplan-Meier curve analysis revealed that the median PFS was 9 months (range: 2-22 months) and the median OS was 18 months (range: 4-37 months). Applying an optimal cutoff of 480 (SII), the median PFS was better in the low SII group patients (11.5 vs. 9 months), and the median OS was significantly longer in the low SII group patients (20 vs. 18 months). A SII > 480 was significantly associated with worse OS (HR: 2.196; 95% CI 1.259-3.832; P = 0.006) and PFS (HR: 2.471; 95% CI 1.488-4.104; P < 0.001) according to univariate analysis. In multivariate analysis, only age (HR: 2.159; 95% CI 1.205-3.869; P = 0.010), KPS (HR: 1.887; 95% CI 1.114-3.198; P = 0.018), and SII (HR: 1.938; 95% CI 1.046-3.589; P = 0.035) were independently correlated with OS, and SII (HR: 2.224; 95% CI 1.298-3.810; P = 0.004) was an independent prognostic predictor of PFS, whereas we found that other inflammation-based indices lost their independent value. The SII, which is an integrated blood parameter based on platelet, neutrophil, and lymphocyte counts, may be an independent prognostic indicator and may be useful for the identification of NSCLC patients with brain metastases after stereotactic radiotherapy at high risk for recurrence.

Zhang Y ，Chen Z ，Jin F ，Guo D ，Chen Q ，Liu Z ，Ji S ，Gao G ... -  《-》