Predictive value of serum sEC and COX-2 levels for postoperative recurrence and metastasis of breast cancer
10.3760/cma.j.cn115807-20250708-00204
- VernacularTitle:血清sEC、COX-2水平对乳腺癌术后复发转移的预测价值分析
- Author:
Zhaohui ZHU
1
;
Xu QIAN
;
Meiling XUE
;
Aijun SUN
;
Weimin SUN
Author Information
1. 徐州医科大学附属淮安医院甲乳外科，淮安 223000
- Publication Type:Journal Article
- Keywords:
Breast cancer;
Soluble E-cadherin;
Cyclooxygenase-2;
Recurrence and metastasis
- From:
Chinese Journal of Endocrine Surgery
2025;19(5):671-677
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the value of serum soluble E-cadherin (sEC) and cyclooxygenase-2 (COX-2) levels in predicting postoperative recurrence and metastasis of breast cancer.Methods:198 female breast cancer patients who underwent surgical treatment in Huai’an Hospital Affiliated to Xuzhou Medical University (Huai’an Second People’s Hospital) From Mar. 2023 to Mar. 2025 were selected and followed up for 3 years. The recurrence and metastasis were counted. Patients with recurrence and metastasis were included in the poor prognosis group, and patients without recurrence and metastasis were included in the good prognosis group. The general data, preoperative serum sEC and COX-2 levels were compared between the two groups. The influencing factors of recurrence and metastasis of breast cancer after operation were analyzed. The dose-response relationship and predictive value of serum sEC and COX-2 levels with recurrence and metastasis were analyzed. Logistic regression equation (LR) model 1 was constructed according to conventional influencing factors, and LR model 2 was constructed according to conventional influencing factors combined with serum sEC and COX-2. The predictive efficacy and accuracy of the two models were analyzed by receiver operating characteristic curve (ROC) and calibration curve. According to the ratio of 7∶3, another 85 female breast cancer patients who underwent surgical treatment in Huai’an Hospital Affiliated to Xuzhou Medical University (Huai’an Second People’s Hospital) from May. 2023 to May. 2025 were selected for external validation (validation set) .Results:Among 198 breast cancer patients who underwent postoperative follow-up for 3 years, 3 cases were lost to follow-up, and the recurrence and metastasis rate among the 195 patients who completed the 3-year postoperative follow-up was 26.15% (51/195). In the good prognosis group, the proportion of TNM stage III was 20.14%, the proportion of lymph node metastasis was 11.81%, the preoperative serum carbohydrate antigen 153 (CA153) level was (54.19±10.84) U/mL, the carbohydrate antigen 125 (CA125) level was (46.03±10.27) U/mL, the sEC level was (1987.65±191.37) ng/mL, and the COX-2 level was (17.85±5.21) ng/mL. In the poor prognosis group, the proportion of TNM stage III was 45.10%, the proportion of lymph node metastasis was 35.29%, the preoperative serum CA153 level was (65.87±12.23) U/mL, the CA125 level was (57.76±11.51) U/mL, the sEC level was (2 295.37±261.48) ng/mL, and the COX-2 level was (10.42±3.16) ng/mL. Compared with the good prognosis group, they were increased ( t/χ 2=12.00, 14.11, 6.39, 6.79, 8.92, 12.00, P<0.05). Multivariate Logistic regression analysis showed that TNM stage III ( OR=2.078, 95%CI =1.569-2.751, P<0.05), lymph node metastasis ( OR=2.435, 95 %CI=1.843-3.216, P<0.05), serum CA153 ( OR= 1.180,95 %CI=1.026-1.357, P<0.05), CA125 ( OR=1.206,95 %CI=1.033-1.408, P<0.05), sEC ( OR=1.011,95 %CI= 1.007-1.015, P<0.05), COX-2 ( OR=1.378,95 %CI=1.128-1.683, P<0.05) were independent risk factors for postoperative recurrence and metastasis of breast cancer. Restricted cubic spline (RCS) analysis showed that serum sEC and COX-2 levels were positively correlated with the risk of recurrence and metastasis of breast cancer ( P<0.05). ROC analysis showed that serum sEC (AUC=0.762,95 %CI=0.696-0.820, P<0.05) and COX-2 (AUC=0.757,95 %CI=0.691-0.815, P<0.05) could be used as biological indicators to predict postoperative recurrence and metastasis of breast cancer. The AUC of LR model 1 in predicting postoperative recurrence and metastasis of breast cancer was 0.862 (95 %CI=0.805-0.907, P<0.05). The AUC of LR model 2 in predicting postoperative recurrence and metastasis of breast cancer was 0.965 (95 %CI= 0.891-0.983, P<0.05), which was significantly larger than that of LR model 1 ( Z=2.015, P<0.05). The calibration curve analysis showed that the calibration degree of LR model 1 in predicting postoperative recurrence and metastasis of breast cancer was good, and the prediction results were in good agreement with the actual observation results. The calibration degree of LR model 2 was high, and the prediction results were in good agreement with the actual observation results. The results of external validation showed that the sensitivity of LR model 2 in predicting postoperative recurrence and metastasis of breast cancer was 82.61%, the specificity was 93.55%, the accuracy was 90.59%, and the Kappa value was 0.762 (95 %CI: 0.549-0.974) . Conclusions:Preoperative serum sEC and COX-2 levels are independent risk factors for postoperative recurrence and metastasis of breast cancer. They can be used as biological indicators to predict postoperative recurrence and metastasis of breast cancer. Combined with conventional indicators, they can significantly improve the predictive efficacy.
