| Objective Preoperative serum tumor markers have been widely used in the diagnosis and treatment of gastric cancer patients.However,few studies have evaluated the prognostic of gastric cancer patients by establishing statistical models with multiple serum tumor indicators.Methods From October 2016 to April 2018,a total of 1236 patients with stage I to III gastric cancer after surgery were included in our study.The relevance between serum tumor markers and clinical and pathological data were analyzed.We established a statistical model to predict the prognosis of gastric cancer based on the results of COX regression analysis.OS was also compared in different stages of gastric cancer.Results A total of 1236 patients were recruited into our study.The univariate analysis found that age,clinical stage,T and N stage,tumor location,differentiation,Borrmann type,size,and 4 serum tumor markers were prognostic factors of overall survival（OS）（p < 0.05）and it was showed that clinical stage,tumor size,AFP,CEA,CA125,CA19-9（p < 0.05）were independent prognostic factors for OS.According to the scoring results obtained from the statistical model,we found that patients with high score had poor survival time（p < 0.05）.Futhermore,In stage Ⅰ,the 3-year OS for scores 0-3 ranged from 96.85%,95%,85%,and 80 %.In stage Ⅱ,The 3-year OS for scores 0-4 were 88.6%,76.5%,90.5%,65.5% and 60%.As for stage Ⅲ,the 3-year OS for scores 0-6 were 70.9%,68.3%,64.1%,50.9%,38.4%,18.5% and 5.2%.We also analyzed the mean survival of patients with different scores.For stage Ⅰ patients,the mean OS was 55.980 months.In stageⅡ,the mean OS was 51.550 months.The mean OS of stage Ⅲ was 39.422 months.Conclusion Serum tumor markers are independent influencing factors for the prognosis of gastric cancer patients.A scoring system constructed based on these four medium tumor markers could effectively predict the prognosis of patients with gastric cancer. |
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