Department of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Department of Radiation Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, 420 Fuma Road, Jin'an District, Fuzhou, 350014, Fujian, China.
BMC Cancer. 2019 Jul 22;19(1):721. doi: 10.1186/s12885-019-5940-6.
The aim of this study was to assess the prognostic significance of preoperative systemic inflammation score (SIS) on patients with esophageal squamous cell carcinoma (ESCC).
A total of 357 ESCC patients who accepted radical esophagectomy between January 2008 and December 2009 at our institution were recruited in the analysis. The cut-off finder application was used to calculate the optimal cutoff values. The Chi-squared test or Fisher's exact test were used to analyze categorical variables. Overall survival (OS) was calculated using the Kaplan-Meier method and the log-rank test. Multivariate analysis was calculated using Cox regression analysis model. A model combining SIS was created and its performance was evaluated using the Akaike information criterion (AIC) and concordance index (C-index).
The median follow-up time was 58 months (range, 1-84 months). The 5-year OS rate was 50% (95% CI, 49.94-50.06%). The optimal cut-off values for preoperative neutrophil to lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and serum albumin (Alb) were 2.27, 3.79 and 36.55, respectively. Univariate analyses revealed that gender (P = 0.047), T stage (P < 0.001), N stage (P < 0.001), vascular invasion (P < 0.001), tumor location (P = 0.018), tumor length(P < 0.001), NLR (P = 0.006), LMR (P = 0.007), serum Alb (P = 0.001), and SIS (P < 0.001) were significantly associated with OS. Independent prognostic factors for OS were T stage, N stage, tumor location, tumor length, and SIS. However, NLR was not an independent prognostic factor in multivariate analysis. The model combining SIS had smaller AIC and higher C-index compared to the model without SIS, which suggesting that the adding the SIS to the multivariate model increasing the predictive accuracy of the OS in the ESCC patients treated with radical esophagectomy and 3-field lymphadenectomy (3-FL).
SIS may treat as a novel prognostic factor than NLR for ESCC patients who underwent radical esophagectomy and 3-FL. However, Larger-scale studies are needed to validate these findings.
本研究旨在评估术前全身炎症评分(SIS)对食管鳞癌(ESCC)患者的预后意义。
本研究共纳入 2008 年 1 月至 2009 年 12 月期间在我院接受根治性食管切除术的 357 例 ESCC 患者。采用刀切值查找器应用程序计算最佳的刀切值。采用卡方检验或 Fisher 确切检验分析分类变量。采用 Kaplan-Meier 法和对数秩检验计算总生存率(OS)。采用 Cox 回归分析模型进行多变量分析。创建了一个包含 SIS 的模型,并通过赤池信息量准则(AIC)和一致性指数(C-index)评估其性能。
中位随访时间为 58 个月(范围,1-84 个月)。5 年 OS 率为 50%(95%CI,49.94-50.06%)。术前中性粒细胞与淋巴细胞比值(NLR)、淋巴细胞与单核细胞比值(LMR)和血清白蛋白(Alb)的最佳截断值分别为 2.27、3.79 和 36.55。单因素分析显示,性别(P=0.047)、T 分期(P<0.001)、N 分期(P<0.001)、血管侵犯(P<0.001)、肿瘤位置(P=0.018)、肿瘤长度(P<0.001)、NLR(P=0.006)、LMR(P=0.007)、血清 Alb(P=0.001)和 SIS(P<0.001)与 OS 显著相关。OS 的独立预后因素为 T 分期、N 分期、肿瘤位置、肿瘤长度和 SIS。然而,多因素分析中 NLR 不是独立的预后因素。与不包含 SIS 的模型相比,包含 SIS 的模型的 AIC 更小,C-index 更高,这表明在接受根治性食管切除术和 3 野淋巴结清扫术(3-FL)的 ESCC 患者中,将 SIS 纳入多变量模型可以提高 OS 的预测准确性。
SIS 可能是一种比 NLR 更适合接受根治性食管切除术和 3-FL 的 ESCC 患者的新的预后因素。然而,需要更大规模的研究来验证这些发现。