The inflammation score predicts the prognosis of gastric cancer patients undergoing Da Vinci robot surgery.

Neutrophil-to-lymphocyte ratio (NLR), calculated from peripheral blood immune-inflammatory cell counts, is considered a predictor of survival in various cancers. Nevertheless, there is a lack of research into the predictive value of NLR specifically in gastric cancer patients following surgery using the Da Vinci robot. Investigate the objectives of this research, confirm the positive predictive value of NLR in the prognosis of gastric cancer patients undergoing Da Vinci robotic-assisted surgery by comparing its prognostic ability with other inflammation markers and tumor biomarkers. In this retrospective analysis, information from 128 individuals diagnosed with gastric cancer and treated with da Vinci robot-assisted surgery was examined. The study examined various markers in the peripheral blood, including neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), systemic immune-inflammatory index (SII) prognostic nutrition index (PNI), cancer antigen 125 (CA125), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 72-4 (CA72-4), carcinoembryonic antigen (CEA) and alpha-fetoprotein (AFP).To ascertain the prognostic ability and optimal cutoff values of each parameter, operating characteristic curves and the area under the curve were utilized in the analysis. For evaluation of independent prognostic factors, we utilized Kaplan-Meier curves and multifactorial Cox analysis. The variables from the multifactorial Cox analysis were used to construct a nomogram. NLR, LMR, CEA, AFP, primary location, largest tumor size and TNM stage were all found to be significant predictive elements for overall survival (OS). Multivariate Cox identified NLR (P = 0.005), LMR (P = 0.03) and AFP (P = 0.007) as the only separate predictive variables among hematological indicators. The nomogram built using NLR demonstrates excellent predictive performance at 1 year (AUC = 0.778), 3 years (AUC = 0.773), and 5 years (AUC = 0.781). Cross-validation demonstrates that this model has favorable predictive performance and discriminative ability. NLR is an uncomplicated yet potent marker for forecasting the survival result of individuals with gastric cancer following da Vinci robotic surgery, and it possesses considerable predictive significance. The nomogram based on NLR provides patients with a visual and accurate prognosis prediction.

Chen X ，Zhang Y ，Liu Z ，Song J ，Li J ... -  《-》

Preoperative Systemic Immune-Inflammation Index (SII) as a Superior Predictor of Long-Term Survival Outcome in Patients With Stage I-II Gastric Cancer After Radical Surgery.

Systemic immune-inflammation index (SII), calculated by immunoinflammatory cell counts of peripheral blood, is considered a predictor of survival outcome in several solid tumors, including gastric cancer (GC). However, there is no study focusing on the prognostic value of SII in the early stage of GC. This study aims to compare prognostic prediction capabilities of several inflammatory indices, nutritional indices, and tumor markers to further verify the superior prognostic value of SII in stage I-II GC patients after surgery. In this study, 548 patients (358 in the training group and 190 in the validation group) with stage I-II GC after radical surgery were retrospectively analyzed. The peripheral blood indices of interest were SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), advanced lung cancer inflammation index (ALI), systemic inflammation score (SIS), prognostic nutritional index (PNI), body mass index (BMI), albumin, carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), carbohydrate-associated antigen 19-9 (CA19-9), and alpha-fetoprotein (AFP). The time-dependent receiver operating characteristic (t-ROC) curves and the area under the curve (AUC) were used to determine the optimal cutoff value and prognostic ability of each parameter. Kaplan-Meier curves and multivariable Cox regression models were used to evaluate independent prognostic factors. The nomogram was constructed based on the result of bidirectional stepwise regression model. The optimal cutoff value of SII was 508.3. The 5-year overall survival rate of the low SII (SII-L) group was significantly higher than that of the high SII (SII-H) group (92% vs. 80%, P < 0.001), especially in the elderly and stage II patients (91% vs. 73%, P = 0.001; 86% vs. 67%, P = 0.003, respectively). The significant prognostic values of SII were consistent in most subgroups. In multivariate analysis, SII and CA19-9 were the only two independent prognostic hematology indices. The AUC value of SII (0.624) was greater than that of CA19-9 (0.528) and other prognostic parameters. Adding SII to the conventional model improved the predictive ability of 5-year overall survival as shown by the significantly increased net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (P = 0.033, P = 0.053, respectively) and modestly improved consistency index (C-index) (increased by 1.6%). External validation of SII-based nomogram demonstrated favorable predictive performance and discrimination. In addition, interactive web dynamic nomogram was published to facilitate clinical use. SII is a simple but powerful index with a high predictive value to predict survival outcome in patients with stage I-II GC after radical operation. The SII-based nomogram can provide intuitive and accurate prognosis prediction of individual patients.

He K ，Si L ，Pan X ，Sun L ，Wang Y ，Lu J ，Wang X ... -  《Frontiers in Oncology》

[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 ... -  《-》

Prognostic Value of Combination of Inflammatory and Tumor Markers in Resectable Gastric Cancer.

Inflammatory response and tumor marker levels have been shown to correlate with the prognosis in several human tumors. However, only a few studies on these markers have been performed in gastric cancer (GC) patients; the clinical significance of the combined markers is unclear. We aimed to evaluate the role of the combination of preoperative neutrophil-to-lymphocyte ratio (NLR) and carbohydrate antigen 19-9 (CA19-9) for predicting the prognosis of patients with GC. This retrospective study included 458 patients who underwent gastrectomy with curative intent between January 2013 and July 2014 in the second hospital of Lanzhou University. Receiver operating characteristic curve (ROC) was performed to determine the cut-off values for biomarkers, and their prognostic values were assessed using the Kaplan-Meier curve. The combined score indicators were established based on the optimal cut-off values, which range from 0 to 2. Prognostic significances for overall survival (OS) were assessed by univariate and multivariate Cox regression analysis. Nomogram was used as a visual supplement for the prognostic score system, and the predictive accuracy and discriminative ability were determined by the concordance index (C-index) and calibration curve. The Kaplan-Meier survival analysis showed that the 1-, 3-, and 5-year OS were 66.2% (n = 303), 42.8% (n = 196), and 40.2% (n = 184) in all 458 patients, respectively. The high NLR (≥1.96), PLR (≥126), CA19-9 (≥27 U/mL), and CEA (≥ 5 ng/mL) were associated with poor prognosis of GC patients. The NLR + CA19-9 score indicator proved to be related to tumor size, lymph node metastasis, vascular invasion, perineural invasion, T stage, N stage, TNM stage, PLR, and CEA in patients with GC and an independent prognostic factor for prediction of 5-year OS (score 1: HR = 1.423, 95%CI: 1.049-1.929, P = 0.023; score 2: HR = 2.740, 95%CI: 1.882-3.990, P < 0.001). NLR + CA19-9 has a better predictive ability than other combined or single score indicators based on inflammation and tumor markers (AUC = 0.662, 95%CI: 0.616-0.705, P < 0.001). Moreover, a nomogram was established by the significant characteristics in the multivariate analysis for OS, which represented high accuracy (C-index = 0.692, 95%CI: 0.675-0.708). NLR + CA19-9 can independently predict the overall survival of patients with gastric cancer after surgery. The prognostic nomogram based on NLR + CA19-9 is a convenient, economical, and effective prognostic system for clinical practice.

Guo L ，Wang Q ，Chen K ，Liu HP ，Chen X ... -  《-》

Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model.

Deng Q ，He B ，Liu X ，Yue J ，Ying H ，Pan Y ，Sun H ，Chen J ，Wang F ，Gao T ，Zhang L ，Wang S ... -  《Journal of Translational Medicine》