Ge Wei, Zheng Li-Ming, Chen Gang
Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province 210008, China.
Gastroenterol Res Pract. 2018 Jun 3;2018:3450981. doi: 10.1155/2018/3450981. eCollection 2018.
To assess whether preoperative markers could predict the stage of patients with gastric cancer. We analyzed retrospectively the preoperative indicators between stage IV and non-stage IV gastric cancer at the Gastrointestinal Surgery of Nanjing Drum Tower Hospital. A total of 500 patients with gastric cancer were screened. Of all the variables, alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 125, carbohydrate antigen (CA) 199, carbohydrate antigen (CA) 724, carbohydrate antigen (CA) 242, thrombin time (TT), prothrombin time (PT), activated partial thromboplastin time (APTT), blood platelet count (PLT), white blood cell (WBC) count, C-reactive protein (CRP), neutrophil count (NC), lymphocyte count (LC), neutrophil-lymphocyte ratio (NLR), hemoglobin (HB), aspartate aminotransferase (AST), and ascites were found to have statistical differences between the two groups. Then, Stepwise Discriminant Analysis was conducted to establish a prediction model including 7 indexes (CA724, CA242, TT, PLT, CRP, AST, and ascites). According to the model, 90.6% of original grouped cases were correctly classified and 90.6% of cross-validated grouped cases were correctly classified. We built a discriminant including CA724, CA242, TT, PLT, CRP, AST, and ascites for predicting patients with gastric cancer to be either stage IV or non-stage IV. According to this discriminant, 90.6% of patients could be correctly predicted.
为评估术前标志物能否预测胃癌患者的分期。我们回顾性分析了南京鼓楼医院胃肠外科IV期和非IV期胃癌患者的术前指标。共筛选出500例胃癌患者。在所有变量中，发现甲胎蛋白（AFP）、癌胚抗原（CEA）、糖类抗原（CA）125、糖类抗原（CA）199、糖类抗原（CA）724、糖类抗原（CA）242、凝血酶时间（TT）、凝血酶原时间（PT）、活化部分凝血活酶时间（APTT）、血小板计数（PLT）、白细胞（WBC）计数、C反应蛋白（CRP）、中性粒细胞计数（NC）、淋巴细胞计数（LC）、中性粒细胞与淋巴细胞比值（NLR）、血红蛋白（HB）、天冬氨酸转氨酶（AST）和腹水在两组之间存在统计学差异。然后，进行逐步判别分析以建立包含7个指标（CA724、CA242、TT、PLT、CRP、AST和腹水）的预测模型。根据该模型，90.6%的原始分组病例被正确分类，90.6%的交叉验证分组病例被正确分类。我们构建了一个包含CA724、CA242、TT、PLT、CRP、AST和腹水的判别式，用于预测胃癌患者是IV期还是非IV期。根据这个判别式，90.6%的患者能够被正确预测。
