Huang Ying, Liu Jin-Shi, Feng Ji-Feng
Department of Nursing, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China.
Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China.
Onco Targets Ther. 2015 Apr 10;8:795-803. doi: 10.2147/OTT.S77378. eCollection 2015.
The prognostic value of inflammatory index in esophageal cancer (EC) has not been established. In the present study, therefore, we initially evaluated a novel prognostic system, named the COCC (COmbination of C-reactive protein [CRP] and carcinoembryonic antigen [CEA]), for making a prognosis in patients with esophageal squamous cell carcinoma (ESCC).
A total of 327 patients with ESCC between January 2006 and December 2008 were included in this retrospective study. The COCC was calculated by combined CRP and CEA according to the logistic equation. The Kaplan-Meier method was used to calculate the cancer-specific survival (CSS), and the difference was assessed by the log-rank test. Cox regression analyses were performed to evaluate the prognostic factors.
In our study, COCC was defined as CRP +0.71 CEA according to the logistic equation. Receiver operating characteristic curves for CSS prediction were plotted to verify the optimum cutoff points for CRP, CEA, and COCC, which were 9.8 mg/L, 4.2 ng/mL, and 8.0, respectively. Patients with COCC ≤8.0 had a significantly better CSS than patients with COCC >8.0 (53.1% vs 15.3%, P<0.001). Multivariate analysis revealed that COCC was an independent prognostic factor in patients with ESCC (P=0.006). In addition, the area under the curve (AUC) was 0.722 for COCC, 0.645 for CRP, and 0.618 for CEA, indicating that COCC was superior to CRP or CEA for CSS prediction.
The COCC is an independent prognostic factor in patients with ESCC. We conclude that COCC was superior to CRP or CEA as a more precise prognostic factor in patients with ESCC.
炎症指标在食管癌(EC)中的预后价值尚未明确。因此,在本研究中,我们首先评估了一种名为COCC(C反应蛋白[CRP]与癌胚抗原[CEA]联合)的新型预后系统,用于预测食管鳞状细胞癌(ESCC)患者的预后。
本回顾性研究纳入了2006年1月至2008年12月期间的327例ESCC患者。根据逻辑方程,将CRP和CEA相结合计算COCC。采用Kaplan-Meier法计算癌症特异性生存率(CSS),并通过对数秩检验评估差异。进行Cox回归分析以评估预后因素。
在我们的研究中,根据逻辑方程,COCC定义为CRP +0.71CEA。绘制CSS预测的受试者工作特征曲线,以验证CRP、CEA和COCC的最佳截断点,分别为9.8mg/L、4.2ng/mL和8.0。COCC≤8.0的患者CSS明显优于COCC>8.0的患者(53.1%对15.3%,P<0.001)。多变量分析显示,COCC是ESCC患者的独立预后因素(P=0.006)。此外,COCC的曲线下面积(AUC)为0.722,CRP为0.645,CEA为0.618,表明COCC在CSS预测方面优于CRP或CEA。
COCC是ESCC患者的独立预后因素。我们得出结论,作为ESCC患者更精确的预后因素,COCC优于CRP或CEA。