Department of General Surgery, 900TH Hospital of Joint Logistics Support Force, Fujian, Fuzhou, People's Republic of China.
The Hospital Affiliated to Putian University, 999 Dongzhen East Road, Licheng District, Fujian, Putian, People's Republic of China.
J Cancer Res Clin Oncol. 2023 Dec;149(18):16623-16633. doi: 10.1007/s00432-023-05410-w. Epub 2023 Sep 16.
To investigate the prognostic significance of preoperative carcinoembryonic antigen (CEA) status in stage I colorectal classical adenocarcinoma (CCA) and mucinous adenocarcinoma (MUC), and to construct a nomogram model of stage I CCA.
The SEER database was used to collect 14,226 patients diagnosed with stage I colorectal adenocarcinoma (CA) from 2010 to 2015. The prognostic significance of preoperative CEA status in stage I CA and MUC was examined by propensity-matching score (PSM). We analyzed the factors affecting the prognosis of patients with stage I CCA, and constructed and verified the prognostic model.
After PSM, the cancer-specific survival rate (CCS) of CEA-positive patients in stage T1 and T2 CCA was significantly lower than that of CEA-negative patients in stage T1 and T2 [HR = 0.37 (0.29-0.48), P < 0.001], [HR = 0.52 (0.41-0.65), P < 0.001]. However, there was no significant difference in CSS between CEA-positive and CEA-negative patients in T1 and T2 MUC [HR = 0.58 (0.43-0.79), P = 0.096], [HR = 0.76 (0.36-1.62), P = 0.477]. A nomogram was constructed based on the results of the multivariate COX regression model. Based on the AUC of ROC analysis, calibration plot and decision curve analysis (DCA), we concluded that the risk and prognosis model of CCA showed excellent performance.
Elevated CEA is a risk factor for stage I CCA, but not for MUC. And the nomogram is accurate enough to predict the risk and prognostic factors of CCA.
研究术前癌胚抗原(CEA)状态在 I 期结直肠经典腺癌(CCA)和黏液腺癌(MUC)中的预后意义,并构建 I 期 CCA 的列线图模型。
利用 SEER 数据库收集了 2010 年至 2015 年间诊断为 I 期结直肠腺癌(CA)的 14226 例患者。采用倾向评分匹配(PSM)方法,研究术前 CEA 状态在 I 期 CA 和 MUC 中的预后意义。分析影响 I 期 CCA 患者预后的因素,构建并验证预后模型。
PSM 后,T1 和 T2 期 CCA 中 CEA 阳性患者的癌症特异性生存率(CCS)明显低于 T1 和 T2 期 CEA 阴性患者[HR=0.37(0.29-0.48),P<0.001],[HR=0.52(0.41-0.65),P<0.001]。然而,T1 和 T2 期 MUC 中 CEA 阳性和 CEA 阴性患者的 CSS 无显著差异[HR=0.58(0.43-0.79),P=0.096],[HR=0.76(0.36-1.62),P=0.477]。根据多变量 COX 回归模型的结果构建了一个列线图。基于 ROC 分析的 AUC、校准图和决策曲线分析(DCA),我们得出结论,CCA 的风险和预后模型表现出优异的性能。
CEA 升高是 I 期 CCA 的危险因素,但不是 MUC 的危险因素。该列线图预测 CCA 风险和预后因素的准确性足够高。