Feng Ji-Feng, Sheng Chen, Zhao Qiang, Chen Pengcheng
Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou, China.
Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology, Hangzhou, China.
PeerJ. 2019 Jul 8;7:e7246. doi: 10.7717/peerj.7246. eCollection 2019.
Mean platelet volume (MPV) to platelet count (PC) ratio (MPV/PC) is a useful indicator in several cancers. However, the role for MPV/PC ratio in esophageal squamous cell carcinoma (ESCC) is still controversial.
A retrospective study was conducted including 277 resectable ESCC patients. The optimal cut-off values were calculated by the X-tile program. The receiver operator characteristic (ROC) curves were also created to show the candidate cut-off points. The comparisons between the X-tile plot and ROC curve were performed. The Kaplan-Meier method was utilized to analyze the cancer-specific survival (CSS). Prognostic factors for CSS were calculated with Cox regression univariate and multivariate analyses.
According to the X-tile program, the cut-off values for MPV, PC and MPV/PC ratio were 8.5 (fl), 200 (giga/l) and 0.04, respectively. However, the cut-off values for MPV, PC and MPV/PC ratio by the ROC curves were 8.25 (fl), 243.5 (giga/l) and 0.0410, respectively. The cut-off values were similar between the X-tile and ROC curve. A low MPV/PC ratio level (≤0.04) was associated with poor CSS (22.4% vs. 43.1%, < 0.001). In multivariate analyses, we found that MPV/PC ratio was an independent predictor for CSS ( < 0.001). When we set the cut-off point using ROC curve, the MPV/PC ratio was still an independent predictor for CSS ( < 0.001).
The MPV/PC ratio is a useful predictive indicator in patients with ESCC.
平均血小板体积(MPV)与血小板计数(PC)之比(MPV/PC)是多种癌症中的一个有用指标。然而,MPV/PC比值在食管鳞状细胞癌(ESCC)中的作用仍存在争议。
进行了一项回顾性研究,纳入277例可切除的ESCC患者。通过X-tile程序计算最佳截断值。还绘制了受试者工作特征(ROC)曲线以显示候选截断点。对X-tile图和ROC曲线进行了比较。采用Kaplan-Meier法分析癌症特异性生存(CSS)。通过Cox回归单因素和多因素分析计算CSS的预后因素。
根据X-tile程序,MPV、PC和MPV/PC比值的截断值分别为8.5(飞升)、200(千兆/升)和0.04。然而,ROC曲线得出的MPV、PC和MPV/PC比值的截断值分别为8.25(飞升)、243.5(千兆/升)和0.0410。X-tile图和ROC曲线的截断值相似。低MPV/PC比值水平(≤0.04)与较差的CSS相关(22.4%对43.1%,<0.001)。在多因素分析中,我们发现MPV/PC比值是CSS的独立预测因子(<0.001)。当我们使用ROC曲线设定截断点时,MPV/PC比值仍然是CSS的独立预测因子(<0.001)。
MPV/PC比值是ESCC患者的一个有用的预测指标。