Prognostic Value of Inflammatory Biomarkers in Gastric Cancer Patients and the Construction of a Predictive Model

Abstract

Background: It is known that inflammation promotes cancer development. However, a few studies have evaluated the prognostic significance of inflammatory biomarkers in gastric cancer (GC). Methods: In this study, 2,334 patients who underwent gastrectomy for GC at Fudan University Shanghai Cancer Center between 2003 and 2007 were retrospectively analyzed, and 1,227 patients were found to be eligible. The preoperative serum neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio (LMR), and albumin/globulin ratio (AGR) levels were analyzed. A nomogram was constructed with the Cox proportional hazards regression model in the training set (n = 818) to predict the probability of overall survival (OS) and disease-free survival (DFS). The predictive accuracy and discriminative ability were determined using the concordance index (C-index) and calibration curve. Results: We found that lower AGR and LMR values were correlated with decreased OS, lower LMR values, and higher NLR values with a decreased DFS. Other significant factors were included to construct the nomogram. The discriminative ability of the nomogram was higher than that of the eighth American Joint Committee on Cancer tumor-node-metastasis (TNM) staging system (0.746 for TNM v.s. 0.654 for the nomogram, p < 0.001). Conclusions: The nomogram yielded a more accurate prognostic prediction in GC patients after gastrectomy, suggesting great clinical value.