术前炎症标志物、Ki-67 与脑胶质瘤病理分级的相关性。
Correlation between preoperative inflammatory markers, Ki-67 and the pathological grade of glioma.
机构信息
Department of Surgery, Affiliated Hospital of Jining Medical College, Jining City, Shandong Province, China.
Department of Neurosurgery, Affiliated Hospital of Yanbian University, Yanji City, Jilin Province, China.
出版信息
Medicine (Baltimore). 2021 Sep 10;100(36):e26750. doi: 10.1097/MD.0000000000026750.
To investigate the correlation between preoperative inflammatory markers, Ki-67 expression and the pathological grade of glioma, and to provide a reference for clinical prediction of glioma prognosis.A total of 45 glioma patients who underwent surgery with complete clinical and pathological data were in our hospital from January 2012 to December 2018 were enrolled. Glioma was divided into WHO grade I to IV. Forty-five healthy health examiners with matched clinical characteristics were included to the control group. Blood routine tests were recorded at admission in both the glioma and control group. The ratio of neutrophil to lymphocyte cytometry (NLR), derived neutrophil to lymphocyte ratio (dNLR) (white blood cell count - neutrophil count to neutrophil count), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI, serum albumin content + 5 × lymphocyte count) were calculated. The expression of Ki-67 in glioma was detected by immunohistochemistry. The relationship between the above markers, Ki-67 expression and pathological grade of glioma was evaluated with receiver operating characteristics curve analysis and Spearman correlation test. The correlation between the markers and Ki-67 were also determined.NLR, dNLR, PLR were increased in the glioma group (P < .001, <.001, .002), whereas red blood cell distribution width (RDW) was decreased (P = .009). All the glioma samples expressed Ki-67 with varying degree. Receiver operating characteristics curve analysis reveals NLR, dNLR, PLR, and RDW have significant discriminating ability in differentiating the glioma and control sample. NLR, PLR, PNI, and Ki-67 were significantly correlated with glioma pathology grade (P = .023, .006, .019, <.05), while dNLR and RDW were not associated with glioma grade. Finally, NLR and PLR were related to Ki-67 expression in glioma patients (P = .002, .022), while dNLR and RDW were not related to Ki-67 expression.Preoperative inflammatory markers NLR, PLR, PNI, and postoperative Ki-67 expression are associated with pathological grade of glioma. Detection of these markers may aid in better prediction of glioma prognosis.
为了探讨术前炎症标志物、Ki-67 表达与脑胶质瘤病理分级的相关性，为脑胶质瘤的临床预后预测提供参考。选取 2012 年 1 月至 2018 年 12 月在我院行手术治疗且临床病理资料完整的脑胶质瘤患者 45 例为观察组，将脑胶质瘤分为 WHO Ⅰ~Ⅳ级。同期选取 45 例健康体检者为对照组。记录两组入院时血常规，计算中性粒细胞与淋巴细胞比值（NLR）、衍生中性粒细胞与淋巴细胞比值（dNLR，白细胞计数-中性粒细胞计数/中性粒细胞计数）、血小板与淋巴细胞比值（PLR）、预后营养指数（PNI，血清白蛋白含量+5×淋巴细胞计数）。采用免疫组化法检测脑胶质瘤组织中 Ki-67 的表达。采用受试者工作特征曲线分析及 Spearman 相关检验评估上述标志物与 Ki-67 表达及脑胶质瘤病理分级的关系，同时分析标志物与 Ki-67 的相关性。结果观察组 NLR、dNLR、PLR 升高，红细胞分布宽度（RDW）降低（P＜0.001，＜0.001，.002），而所有脑胶质瘤组织均有不同程度的 Ki-67 表达。受试者工作特征曲线分析显示，NLR、dNLR、PLR、RDW 对胶质瘤与对照组的鉴别具有显著的区分能力。NLR、PLR、PNI、Ki-67 与胶质瘤病理分级显著相关（P=0.023，.006，.019，＜0.05），而 dNLR、RDW 与胶质瘤分级无关。进一步分析显示，NLR、PLR 与胶质瘤患者 Ki-67 表达相关（P=0.002，.022），而 dNLR、RDW 与 Ki-67 表达无关。结论术前炎症标志物 NLR、PLR、PNI 和术后 Ki-67 表达与脑胶质瘤的病理分级有关。检测这些标志物可能有助于更好地预测脑胶质瘤的预后。
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