Tumor deposit is an independent prognostic factor in patients with stage Ⅲ colon cancer after radical surgery
10.3760/cma.j.cn113855-20220303-00122
- VernacularTitle:癌结节对根治性手术后Ⅲ期结肠癌患者预后的影响
- Author:
Yancheng CUI
1
;
Yushi ZHOU
;
Zhanlong SHEN
;
Mujun YIN
;
Xiaodong YANG
;
Kewei JIANG
;
Yingjiang YE
;
Bin LIANG
Author Information
1. 北京大学人民医院胃肠外科，北京 100044
- Keywords:
Colonic neoplasms;
Lymphatic metastasis;
Prognosis;
Tumor deposit
- From:
Chinese Journal of General Surgery
2022;37(4):260-264
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the effect of tumor deposit (TD) on the prognosis of patients with stage Ⅲ colon cancer after radical resection.Methods:The clinicopathological data of patients with stage Ⅲ colon cancer after radical surgery at the Department of Gastrointestinal Surgery, Peking University People's Hospital from Jan to Dec 2015 were analyzed collected. Clinicopathological characteristics such as tumor location, degree of differentiation, mismatch repair status, lymphatic and venous invasion, and preoperative CEA and CA19-9 levels were used to study the effect of TD on the postoperative survival of patients.Results:Among the 155 patients with stage Ⅲ colon cancer, 37 (23.9%) had tumor deposits. The incidence of tumor deposits was higher in patients with intravascular tumor thrombus and preoperative serum CA19-9 elevation ( χ2=9.567, P=0.002; χ2=11.561, P=0.003); Patients with tumor deposits had worse overall survival and disease-free survival than those without cancer nodules (OS: P=0.029, DFS: P=0.025). Multivariate COX analysis found that tumor deposit was an independent risk factor for postoperative overall survival and disease-free survival ( HR=1.990, 95% CI: 1.032-3.835, P=0.040; HR=2.416, 95% CI : 1.205-3.820, P=0.009). Conclusions:Tumor deposit is an independent risk factor affecting postoperative overall survival and disease-free survival in patients with stage Ⅲ colon cancer. For patients with lymph node metastasis, incorporating TD into TNM staging can more accurately predict the postoperative prognosis.
