Research Papers:

ABSTRACT

Accumulating evidence has suggested the crucial role of inflammation in carcinogenesis and tumor progression. Additionally, nomogram combined with the biomarkers of systemic inflammation response (SIR) are able to predict more accurately compared to traditional staging systems. Herein, the study was designed to establish a widely accepted prognostic nomogram for gastric cancer (GC) on the basis of clinic-pathological characteristics and inflammation-based prognostic scores. Clinic-pathological information of 370 patients with pathologically-diagnosed GC who received R0 resection was retrospectively reviewed. Concordance index (C-index) and calibration curve were employed to assess the predictive accuracy and discriminative capacity of the nomogram, followed by comparison with the 7th and 8th AJCC TNM staging system. Tumor length, T stage, N stage, M stage, monocyte lymphocyte ratio (MLR) as well as Glasgow Prognostic Score (GPS) were integrated in the nomogram. The C-index of the nomogram in the primary set (0.83) was higher than that in the 7th (0.78) and 8th editions TNM staging systems (0.80). Highly consistent outcomes between the nomogram and actual observation were presented by calibration curve in training and validation cohorts. The time-dependent receiver operating characteristics (ROC) curve demonstrated higher sensitivity as well as specificity for 3- and 5-year OS prediction in both cohorts. The proposed nomogram was a useful tool for the prognostic prediction in subjects with GC undergoing R0 resection.