Cerrahpasa Medical Faculty Department of Radiation Oncology, Istanbul University-Cerrahpasa, 34098, Istanbul, Turkey.
J Gastrointest Cancer. 2022 Mar;53(1):151-160. doi: 10.1007/s12029-020-00578-7. Epub 2021 Jan 4.
To investigate the predictive and prognostic role of pretreatment hematological parameters for tumor response and outcomes in locally advanced rectal cancer (LARC) patients undergoing surgery after neoadjuvant chemoradiotherapy (nCRT).
From 2010 to 2016, 53 patients with LARC who underwent surgery following nCRT were analyzed. All hematological parameters were obtained from the initial blood tests performed before nCRT. The optimal cutoff values of significant hematological parameters for pathological tumor response (pTR), disease-free survival (DFS), and overall survival (OS) were determined using receiver operating characteristic (ROC) analysis. Patients have categorized into "good" and "poor" response groups according to their pathological results, and clinical-pathologic variables compared between the two groups. All survival analysis was calculated by the Kaplan-Meier method. Uni-multivariate analyses were performed using the Cox proportional hazard model.
In the ROC analysis, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) for OS and absolute platelet count and PLR for DFS were found as significant prognostic factors. In multivariate analysis, surgical margin, ypN stage, and elevated PLR were significantly associated with OS, and likewise, high PLR was found as an independent poor prognostic factor for DFS. The 5-year OS and DFS rates were worse in patients with high PLR group (82.3 vs. 47.3% for OS, p = 0.018 and 88.2 vs. 51.3% for DFS, p = 0.002).
Pretreatment high PLR is associated with worse OS and DFS in patients with rectal cancer. To use in daily practice, further studies are needed on its validation.
研究新辅助放化疗(nCRT)后手术治疗局部进展期直肠癌(LARC)患者治疗前血液学参数对肿瘤反应和结局的预测和预后作用。
2010 年至 2016 年,分析了 53 例接受 nCRT 后手术治疗的 LARC 患者。所有血液学参数均来自 nCRT 前的初始血液检查。使用受试者工作特征(ROC)分析确定对病理肿瘤反应(pTR)、无病生存(DFS)和总生存(OS)有显著影响的血液学参数的最佳截断值。根据病理结果将患者分为“良好”和“不良”反应组,并比较两组间的临床病理变量。所有生存分析均采用 Kaplan-Meier 法计算。使用 Cox 比例风险模型进行单因素和多因素分析。
在 ROC 分析中,中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)与 OS 相关,血小板绝对值和 PLR 与 DFS 相关。多因素分析显示,手术切缘、ypN 分期和升高的 PLR 与 OS 显著相关,同样,高 PLR 是 DFS 的独立不良预后因素。高 PLR 组患者的 5 年 OS 和 DFS 率较差(OS 为 82.3%比 47.3%,p=0.018;DFS 为 88.2%比 51.3%,p=0.002)。
治疗前高 PLR 与直肠癌患者的 OS 和 DFS 较差相关。为了在日常实践中使用,需要进一步验证其有效性。