The prognostic value of inflammation markers in postoperative gliomas with or without adjuvant treatments.

Recent studies have shown that some inflammatory markers are associated with the prognosis of solid tumors. This study aims to evaluate the prognosis of glioma patients with or without adjuvant treatment using the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR).All patients who were diagnosed with gliomas at the first and second affiliated hospital of Guangxi Medical University between 2011 and 2020 were included in this study. The optimal cutoff value of SII, NLR, and PLR was determined by X-tile software program. We stratified patients into several groups and evaluated the progression-free survival (PFS) and overall survival (OS) of SII, NLR, and PLR during the period of pre-surgical, con-chemoradiotherapy, and post-treatments. Multivariate Cox regression analyses were performed to detect the relationships between OS, PFS, and prognostic variables.A total of 67 gliomas patients were enrolled in the study. The cutoff values of SII, NLR, and PLR were 781.5 × 109/L, 2.9 × 109/L, and 123.2 × 109/L, respectively. Patients who are pre-SII < 781.5 × 109/L had better PFS (P = .027), but no difference in OS. In addition, patients who had low pre-NLR (<2.9 × 109/L) meant better OS and PFS. PLR after adjuvant treatments (post-PLR) was significantly higher than pre-PLR (P = .035). Multivariate analyses revealed that pre-SII, pre-NLR were independent prognostic factors for OS (pre-SII: HR 1.002, 95% CI: 1.000-1.005, P = .030 and pre-PLR: HR 0.983, 95% CI: 0.973-0.994, P = .001), while pre-PLR was an independent factor for PFS (HR 0.989, 95% CI: 0.979-1.000, P = .041).High pre-SII or high pre-NLR could be prognostic markers to identify glioma patients who had a poor prognosis.

Luo Y ，Deng R ，Zhong Q ，Luo D ，Li X ，Chen X ，Tao S ，Feng Z ，Jiayi L ，Huang Y ，Li J ，Liu W ... -  《-》

[Relationship between preoperative inflammatory indexes and prognosis of patients with rectal cancer and establishment of prognostic nomogram prediction model].

Zhang L ，Shi FY ，Qin Q ，Liu GX ，Zhang HW ，Yan J ，Tan M ，Wang LZ ，Xue D ，Hu CH ，Zhang Z ，She JJ ... -  《-》

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 ... -  《-》

Prognostic Significance of Preoperative Systemic Cellular Inflammatory Markers in Gliomas: A Systematic Review and Meta-Analysis.

Glioma is the most common malignant brain tumor and has high lethality. This tumor generated a robust inflammatory response that results in the deterioration of the disease. However, the prognostic role of systemic cellular inflammatory indicators in gliomas remains controversial. This meta-analysis aimed to assess the prognostic significance of preoperative neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), red cell distribution width (RDW), and prognostic nutritional index (PNI) in patients with gliomas. Databases of PubMed, EMBASE, Web of Science, and The Cochrane Library were systematically searched for all studies published up to January 2019. Study screening and data extraction followed established Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The Newcastle-Ottawa Scale was used to assess the quality of studies. Eighteen studies containing 3,261 patients were included. The analyses showed an increased NLR or RDW was found to be an independent predictor of worse survival in patients with gliomas (hazard ratio (HR): 1.38; 95% confidence interval (CI): 1.09-1.74; P = 0.008; and HR: 1.40; 95% CI: 1.13-1.74; P = 0.002, respectively). Furthermore, a higher PNI indicates a better overall survival (OS; HR: 0.57; 95% CI: 0.42-0.77; P = 0.0002). For the evaluation of PLR and LMR, none of these variables correlated with OS (P = 0.91 and P = 0.21, respectively). Our meta-analysis indicates the NLR, RDW, and PNI rather than PLR and LMR are the independent index for predicting the OS of gliomas. Pre-operative NLR, RDW, and PNI can help to evaluate disease progression, optimize treatment, and follow-up in patients with gliomas.

Wang DP ，Kang K ，Lin Q ，Hai J ... -  《-》

Systemic immune-inflammation index for predicting prognosis of colorectal cancer.

Chen JH ，Zhai ET ，Yuan YJ ，Wu KM ，Xu JB ，Peng JJ ，Chen CQ ，He YL ，Cai SR ... -  《-》