Metabolic syndrome (MetS) has been shown to be associated with an increased risk of gastric cancer. However, the impact of MetS on gastric cancer mortality remains largely unknown. Here, we prospectively examined the prediction of preoperative MetS for gastric cancer mortality by analyzing a subset of data from the ongoing Fujian prospective investigation of cancer (FIESTA) study. This study was conducted among 3012 patients with gastric cancer who received radical gastrectomy between 2000 and 2010. The latest follow-up was completed in 2015. Blood/tissue specimens, demographic and clinicopathologic characteristics were collected at baseline. During 15-year follow-up, 1331 of 3012 patients died of gastric cancer. The median survival time (MST) of patients with MetS was 31.3 months, which was significantly shorter than that of MetS-free patients (157.1 months). The coexistence of MetS before surgery was associated with a 2.3-fold increased risk for gastric cancer mortality (P < 0.001). The multivariate-adjusted hazard ratios (HRs) were increased with invasion depth T1/T2 (HR = 2.78, P < 0.001), regional lymph node metastasis N0 (HR = 2.65, P < 0.001), positive distant metastasis (HR = 2.53, P < 0.001), TNM stage I/II (HR = 3.00, P < 0.001), intestinal type (HR = 2.96, P < 0.001), negative tumor embolus (HR = 2.34, P < 0.001), and tumor size ≤ 4.5 cm (HR = 2.49, P < 0.001). Further survival tree analysis confirmed the top splitting role of TNM stage, followed by MetS or hyperglycemia with remarkable discrimination ability. In this large cohort study, preoperative MetS, especially hyperglycemia, was predictive of significant gastric cancer mortality in patients with radical gastrectomy, especially for early stage of gastric cancer.
Hu, D., Peng, F., Lin, X., Chen, G., Zhang, H., Liang, B., … Niu, W. (2017). Preoperative Metabolic Syndrome Is Predictive of Significant Gastric Cancer Mortality after Gastrectomy: The Fujian Prospective Investigation of Cancer (FIESTA) Study. EBioMedicine, 15, 73–80. https://doi.org/10.1016/j.ebiom.2016.12.004