Liu Qi, Luo Dakui, Cai Sanjun, Li Qingguo, Li Xinxiang
Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China,
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China,
Cancer Manag Res. 2018 Jul 31;10:2303-2314. doi: 10.2147/CMAR.S165188. eCollection 2018.
This study focused on improving the American Joint Committee on Cancer TNM staging system and demonstrated an improvement in prognostic accuracy and clinical management of colon cancer using the P-TNM staging system.
Eligible patients (N=56,800) were identified from the Surveillance, Epidemiology, and End Results database between January 1, 2010, and December 31, 2014. The P-stage (P0 or P1) was assigned to each patient based on age at diagnosis, tumor grade, and tumor size. The outcome of interest was cancer-specific survival (CSS). The Cox proportional hazards regression analyses were used to identify independent prognostic factors and analyze the CSS probabilities of patients with colon cancer having different P-TNM stages, respectively.
A total of 29,627 patients were assigned to P0-stage and 27,173 patients were assigned to P1-stage. The P1-stage was associated with a 98.1% increased risk of cancer-specific mortality (hazard ratio =1.981, 95% confidence interval =1.891-2.076, <0.001), which was higher in patients with nonmetastatic colon cancer. The P1-stage patients had improvement in CSS compared with those in P0-stage in respective stages (<0.001). Moreover, CSS decreased in stage I-P1 compared with stage IIA-P0 or IIIA-P0 (<0.001), stage IIIA-P1 compared with stage IIA-P0 (<0.001), stage IIB-P1 compared with stage IIIB-P0 or IIC-P0 (<0.001), stage IIIB-P1 compared with stage IIC-P0 (<0.001), and stage IIC-P1 compared with stage IIIC-P0 (<0.001).
P-stage was an independent prognostic factor for colon cancer. This study strongly supported the incorporation of P-stage into the American Joint Committee on Cancer TNM staging system for a better approach to prognostication and, thus, more individualized risk-adaptive therapies in colon cancer.
本研究聚焦于改进美国癌症联合委员会(AJCC)的TNM分期系统,并证明使用P-TNM分期系统可提高结肠癌预后准确性及临床管理水平。
从2010年1月1日至2014年12月31日的监测、流行病学和最终结果(SEER)数据库中确定符合条件的患者(N = 56,800)。根据诊断时的年龄、肿瘤分级和肿瘤大小为每位患者分配P分期(P0或P1)。感兴趣的结局是癌症特异性生存(CSS)。采用Cox比例风险回归分析分别确定独立预后因素,并分析不同P-TNM分期的结肠癌患者的CSS概率。
共有29,627例患者被分配到P0期,27,173例患者被分配到P1期。P1期与癌症特异性死亡风险增加98.1%相关(风险比=1.981,95%置信区间=1.891 - 2.076,P<0.001),在非转移性结肠癌患者中更高。在各分期中,P1期患者的CSS较P0期患者有所改善(P<0.001)。此外,I期-P1的CSS低于IIA期-P0或IIIA期-P0(P<0.001),IIIA期-P1低于IIA期-P0(P<0.001),IIB期-P1低于IIIB期-P0或IIC期-P0(P<0.001),IIIB期-P1低于IIC期-P0(P<0.001),IIC期-P1低于IIIC期-P0(P<0.001)。
P分期是结肠癌的独立预后因素。本研究有力支持将P分期纳入美国癌症联合委员会TNM分期系统,以便更好地进行预后评估,从而在结肠癌中实现更个体化的风险适应性治疗。