Systemic immune-inflammation index for predicting prognosis of colorectal cancer

AIM To investigate the clinical significance of preoperative systemic immune-inflammation index(SII) in patients with colorectal cancer(CRC). METHODS A retrospective analysis of 1383 cases with CRC was performed following radical surgery. SII was calculated with the formula SII =(P × N)/L, where P, N, and L refer to peripheral platelet, neutrophil, and lymphocyte counts, respectively. The clinicopathological features and follow-up data were evaluated to compare SII with other systemic inflammation-based prognostic indices such as the neutrophil-lymphocyte ratio(NLR) and platelet-lymphocyte ratio(PLR) in patients with CRC.RESULTS The optimal cut-off point for SII was defined as 340. The overall survival(OS) and disease-free survival(DFS) were better in patients with low NLR, PLR, and SII(P < 0.05). The SII was an independent predictor of OS and DFS in multivariate analysis. The area under the receiver-operating characteristics(ROC) curve for SII(0.707) was larger than those for NLR(0.602) and PLR(0.566). In contrast to NLR and PLR, SII could effectively discriminate between the TNM subgroups. CONCLUSION SII is a more powerful tool for predicting survival outcome in patients with CRC. It might assist the identification of high-risk patients among patients with the same TNM stage.

Prognostic significance of serum inflammation indices for different tumor infiltrative pattern types of gastric cancer

BACKGROUND Inflammatory indices are considered to be potential prognostic biomarkers for patients with gastric cancer(GC).However,there is no evidence defining the prognostic significance of inflammatory indices for GC with different tumor infiltrative pattern(INF)types.AIM To evaluate the significance of inflammatory indices and INF types in predicting the prognosis of patients with GC.METHODS A total of 962 patients who underwent radical gastrectomy were retrospectively selected for this study.Patients were categorized into the expansive growth type(INFa),the intermediate type(INFb),and the infiltrative growth type(INFc)groups.The cutoff values of inflammatory indices were analyzed by receiver operating characteristic curves.The Kaplan–Meier method and log-rank test were used to analyze overall survival(OS).The chi-square test was used to analyze the association between inflammatory indices and clinical characteristics.The independent risk factors for prognosis in each group were analyzed by univariate and multivariate analyses based on logistic regression.Nomogram models were constructed by R studio.RESULTS The INFc group had the worst OS(P<0.001).The systemic immune-inflammation index(P=0.039)and metastatic lymph node ratio(mLNR)(P=0.003)were independent risk factors for prognosis in the INFa group.The platelet-lymphocyte ratio(PLR)(P=0.018),age(P=0.026),body mass index(P=0.003),and postsurgical tumor node metastasis(pTNM)stage(P<0.001)were independent risk factors for prognosis in the INFb group.The PLR(P=0.021),pTNM stage(P=0.028),age(P=0.021),and mLNR(P=0.002)were independent risk factors for prognosis in the INFc group.The area under the curve of the nomogram model for predicting 5-year survival in the INFa group,INFb group,and INFc group was 0.787,0.823,and 0.781,respectively.CONCLUSION The outcome of different INF types GC patients could be assessed by nomograms based on different inflammatory indices and clinicopathologic features.