Liu Jin-Shi, Huang Ying, Yang Xun, Feng Ji-Feng
Department of Thoracic Surgery, Zhejiang Cancer Hospital No.38 Guangji Road, Banshan Bridge, Hangzhou 310022, China.
Department of Operating Theatre, Zhejiang Cancer Hospital No.38 Guangji Road, Banshan Bridge, Hangzhou 310022, China.
Am J Cancer Res. 2015 Jun 15;5(7):2180-9. eCollection 2015.
Inflammation plays an important role in cancer progression and prognosis. However, the prognostic values of inflammatory biomarkers in esophageal cancer (EC) were not established. In the present study, therefore, we initially used a nomogram to predict prognostic values of various inflammatory biomarkers in patients with esophageal squamous cell carcinoma (ESCC).
A total of 326 ESCC patients were included in this retrospective study. Glasgow prognostic score (GPS), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR) and lymphocyte monocyte ratio (LMR) were analyzed in the current study. Kaplan-Meier method was used to calculate the cancer-specific survival (CSS). Cox regression analysis was also performed to evaluate the prognostic factors. A nomogram was established to predict the prognosis for CSS.
Patients were divided into 3 groups according to GPS (GPS 0, 1 and 2) and 2 groups according to NLR (≤3.45 and >3.45), PLR (≤166.5 and >166.5) and LMR (≤2.30 and >2.30). The 5-year CSS in patients with GPS 0, 1 and 2 were 49.2%, 26.8% and 11.9%, respectively (P<0.001). In addition, patients with NLR (>3.45), PLR (>166.5) and LMR (≤2.30) were significantly associated with decreased CSS, respectively (P<0.001). Multivariate analysis revealed that GPS (P<0.001), PLR (P=0.002) and LMR (P=0.002) were independent prognostic factors in patients with ESCC. In addition, a nomogram was established according to all significantly independent factors for CSS. The Harrell's c-index for CSS prediction was 0.72.
GPS, PLR and LMR were potential prognostic biomarkers in patients with ESCC. The nomogram based on CSS could be used as an accurately prognostic prediction for patients with ESCC.
炎症在癌症进展和预后中起重要作用。然而，炎症生物标志物在食管癌（EC）中的预后价值尚未确立。因此，在本研究中，我们首先使用列线图来预测食管鳞状细胞癌（ESCC）患者中各种炎症生物标志物的预后价值。
本回顾性研究共纳入326例ESCC患者。在本研究中分析了格拉斯哥预后评分（GPS）、中性粒细胞淋巴细胞比值（NLR）、血小板淋巴细胞比值（PLR）和淋巴细胞单核细胞比值（LMR）。采用Kaplan-Meier法计算癌症特异性生存率（CSS）。还进行了Cox回归分析以评估预后因素。建立了一个列线图来预测CSS的预后。
根据GPS（GPS 0、1和2）将患者分为3组，根据NLR（≤3.45和>3.45）、PLR（≤166.5和>166.5）和LMR（≤2.30和>2.30）将患者分为2组。GPS为0、1和2的患者的5年CSS分别为49.2%、26.8%和11.9%（P<0.001）。此外，NLR（>3.45）、PLR（>166.5）和LMR（≤2.30）的患者分别与CSS降低显著相关（P<0.001）。多变量分析显示，GPS（P<0.001）、PLR（P=0.002）和LMR（P=0.002）是ESCC患者的独立预后因素。此外，根据所有与CSS显著相关的独立因素建立了一个列线图。CSS预测的Harrell's c指数为0.72。
GPS、PLR和LMR是ESCC患者潜在的预后生物标志物。基于CSS的列线图可作为ESCC患者准确的预后预测工具。
