Hirahara Noriyuki, Matsubara Takeshi, Kaji Shunsuke, Kawabata Yasunari, Hyakudomi Ryoji, Yamamoto Tetsu, Uchida Yuki, Ishitobi Kazunari, Takai Kiyoe, Tajima Yoshitsugu
Department of Digestive and General Surgery, Shimane University Faculty of Medicine, Shimane, Japan.
Oncotarget. 2020 Nov 10;11(45):4169-4177. doi: 10.18632/oncotarget.27796.
Inflammation influences cancer progression by increasing catabolism and impairing nutrient absorption. We compared the prognostic ability of three inflammation-based prognostic scoring systems-the Glasgow prognostic score (GPS), modified GPS (mGPS), and high-sensitivity mGPS (HS-mGPS)-in gastric cancer patients.
We retrospectively examined 434 curatively resected gastric cancer patients to evaluate the prognostic ability of scoring systems for overall survival (OS) and cancer-specific survival (CSS).
OS analysis identified the following independent prognostic factors: GPS model: pathological stage (pStage, < 0.001), carcinoembryonic antigen (CEA, = 0.004), and GPS 1 (hazard ratio [HR], 1.929; 95% confidence interval [CI], 1.152-3.228; = 0.013); mGPS model: body mass index (BMI, = 0.027), pStage ( < 0.001), and CEA ( < 0.001); HS-mGPS model: BMI ( = 0.029), pStage ( < 0.001), and CEA ( = 0.003). mGPS and HS-mGPS were not independent prognostic factors for OS. CSS analysis of the GPS model identified pStage ( < 0.001), CEA ( = 0.015), and GPS 1 (HR; 2.095, 95% CI; 1.025-4.283; = 0.043) and 2 (HR, 2.812; 95% CI, 1.111-7.116; = 0.029) as independent prognostic factors; however, mGPS and HS-mGPS were not independent prognostic factors for CSS. Log-rank tests demonstrated significant differences in OS among patients with GPS 0 vs. 1 ( < 0.001) and 0 vs. 2 ( < 0.001) and in CSS among the three GPS (0 vs. 1; = 0.005, 0 vs. 2; < 0.001, 1 vs. 2; = 0.009).
GPS most reliably predicts long-term survival of gastric cancer patients.
炎症通过增加分解代谢和损害营养吸收来影响癌症进展。我们比较了三种基于炎症的预后评分系统——格拉斯哥预后评分(GPS)、改良GPS(mGPS)和高敏mGPS(HS-mGPS)——在胃癌患者中的预后预测能力。
我们回顾性研究了434例接受根治性切除的胃癌患者,以评估评分系统对总生存期(OS)和癌症特异性生存期(CSS)的预后预测能力。
OS分析确定了以下独立预后因素:GPS模型:病理分期(pStage,<0.001)、癌胚抗原(CEA,=0.004)和GPS 1(风险比[HR],1.929;95%置信区间[CI],1.152 - 3.228;=0.013);mGPS模型:体重指数(BMI,=0.027)、pStage(<0.001)和CEA(<0.001);HS-mGPS模型:BMI(=0.029)、pStage(<0.001)和CEA(=0.003)。mGPS和HS-mGPS不是OS的独立预后因素。GPS模型的CSS分析确定pStage(<0.001)、CEA(=0.015)以及GPS 1(HR;2.095,95%CI;1.025 - 4.283;=0.043)和2(HR,2.812;95%CI,1.111 - 7.116;=0.029)为独立预后因素;然而,mGPS和HS-mGPS不是CSS的独立预后因素。对数秩检验显示,GPS为0与1的患者在OS方面存在显著差异(<0.001),GPS为0与2的患者在OS方面也存在显著差异(<0.001),并且在CSS方面,三种GPS情况之间存在差异(0与1;=0.005,0与2;<0.001,1与2;=0.009)。
GPS最可靠地预测胃癌患者的长期生存。