Ma G, Zhang X, Ma Q, Rong T, Long H, Lin P, Fu J, Zhang L
Sun Yat-sen University Cancer Center and State Key Laboratory of Oncology in South China, Guangzhou, Guangdong 510060, China.
Sun Yat-sen University Cancer Center and State Key Laboratory of Oncology in South China, Guangzhou, Guangdong 510060, China.
Eur J Surg Oncol. 2015 Apr;41(4):541-7. doi: 10.1016/j.ejso.2015.01.013. Epub 2015 Jan 24.
Identifying patients with esophageal squamous cell carcinoma (ESCC) with negative prognostic factors, which have an extremely low survival rate, has been problematic.
We retrospectively collected clinical data for 648 patients with lymph node-negative ESCC who were treated at the Sun Yat-Sen University Cancer Center from 1990 to 2005. Survival difference was compared using Kaplan-Meier analysis and multivariate Cox regression analysis.
We identified advancing age, smoking history, alcohol consumption history, decreased forced expiratory volume in 1 s (FEV1), surgical procedure, tumor location, number of resected lymph nodes, poor tumor differentiation, and surgical stage as independent prognostic risk factors. Furthermore, based on the results of multivariate analysis, we constructed a novel scoring system that included the factors of age, smoking history, alcohol consumption history, number of resected lymph nodes, tumor differentiation, and surgical stage. Risk score (RS) was computed with the scoring system, and patients were divided into Class A (RS: 0-5) and Class B (RS: 6-10). P < 0.001 indicated statistical significance. A significant difference (p < 0.001) demonstrated that Class B was strongly related to a low survival rate and poor prognosis.
We developed a new simple flexible scoring system of high prognostic significance, which has the potential to guide postoperative therapeutic strategies and follow-up frequency and to provide better prognostic information for patients and their families.
识别具有预后不良因素且生存率极低的食管鳞状细胞癌(ESCC)患者一直存在困难。
我们回顾性收集了1990年至2005年在中山大学肿瘤防治中心接受治疗的648例淋巴结阴性ESCC患者的临床资料。采用Kaplan-Meier分析和多因素Cox回归分析比较生存率差异。
我们确定高龄、吸烟史、饮酒史、一秒用力呼气量(FEV1)降低、手术方式、肿瘤位置、切除淋巴结数量、肿瘤低分化以及手术分期为独立的预后危险因素。此外,基于多因素分析结果,我们构建了一个新的评分系统,该系统包括年龄、吸烟史、饮酒史、切除淋巴结数量、肿瘤分化程度和手术分期等因素。用该评分系统计算风险评分(RS),并将患者分为A类(RS:0 - 5)和B类(RS:6 - 10)。P < 0.001表示具有统计学意义。显著差异(p < 0.001)表明B类与低生存率和不良预后密切相关。
我们开发了一种具有高预后意义的新型简单灵活评分系统,其有可能指导术后治疗策略和随访频率,并为患者及其家属提供更好的预后信息。