Luo Guopei, Liu Chen, Cheng He, Jin Kaizhou, Guo Meng, Lu Yu, Long Jiang, Xu Jin, Ni Quanxing, Chen Jie, Yu Xianjun
Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
Department of Oncology, Shanghai Medical College of Fudan University, Shanghai 200032, P.R. China.
Oncol Lett. 2017 Apr;13(4):2454-2458. doi: 10.3892/ol.2017.5716. Epub 2017 Feb 13.
Although the prognostic role of neutrophil-lymphocyte ratio (NLR) has been confirmed in a variety of tumors, the prognostic role of NLR in pancreatic neuroendocrine tumors (PNETs) has not been examined. The present study was performed to assess the role of NLR as a prognostic factor in patients with PNETs. Clinical data were retrospectively retrieved from a single institution. The best cut-off value for baseline NLR levels was determined by the receiver operating characteristic (ROC) curve and area under the ROC curve. The primary event was overall survival and event times were assessed by the Kaplan-Meier method. Potential factors associated with the elevation of NLR in PNETs were examined. A total of 165 consecutive patients with pathologically confirmed PNETs were included in this study. The cutoff value of NLR was 2.4 by ROC curve (area under ROC curve, 0.70). NLR >2.4 was found to be a poor prognostic factor in the univariate and multivariate analyses. Patients with a NLR value >2.4 had a higher proportion of tumor size at >3 cm (P=0.001), TNM stage III or IV (P=0.019), and G2/G3 (P=0.003). We concluded that NLR is an independent predictor of overall survival for patients with PNETs. Aberrant elevation of NLR identifies high-risk patients with aggressive characteristics.
尽管中性粒细胞与淋巴细胞比值（NLR）的预后作用已在多种肿瘤中得到证实，但NLR在胰腺神经内分泌肿瘤（PNETs）中的预后作用尚未得到研究。本研究旨在评估NLR作为PNETs患者预后因素的作用。临床数据从单一机构进行回顾性收集。通过受试者工作特征（ROC）曲线及ROC曲线下面积确定基线NLR水平的最佳截断值。主要事件为总生存期，事件发生时间采用Kaplan-Meier法评估。研究了与PNETs中NLR升高相关的潜在因素。本研究共纳入165例经病理证实的连续PNETs患者。根据ROC曲线，NLR的截断值为2.4（ROC曲线下面积为0.70）。在单因素和多因素分析中，NLR>2.4被发现是一个不良预后因素。NLR值>2.4的患者肿瘤大小>3 cm（P=0.001）、TNM分期为III期或IV期（P=0.019）以及G2/G3级（P=0.003）的比例更高。我们得出结论，NLR是PNETs患者总生存期的独立预测因子。NLR的异常升高可识别具有侵袭性特征的高危患者。
