Bal Oznur, Acikgoz Yusuf, Yildiz Birol, Kos Fahriye T, Algin Efnan, Dogan Mutlu
Department of Medical Oncology, University of Health Science, Ankara City Hospital, Ankara, Turkey.
Department of Medical Oncology, Gulhane Training and Research Hospital, Ankara, Turkey.
J Cancer Res Ther. 2023 Jul-Sep;19(5):1241-1247. doi: 10.4103/jcrt.jcrt_1741_21.
Inflammation markers are the new point of view in cancer due to increasing data on the interaction of immune system with tumor cells and their prognostic and predictive importance were found in many different types of solid tumors. Therefore, we aimed to evaluate the prognostic value of neutrophil-lymphocyte ratio (NLR), neutrophil-platelet score (NPS), and systemic inflammation index (SII) in Ewing sarcoma patients in which risk groups are still not clearly defined.
A total of 64 patients were evaluated retrospectively. Receiver operating characteristic analysis was performed to find cut-off values for NLR and SII. Survival analysis was calculated by using Kaplan-Meier method. Cox regression analysis was performed to determine prognostic factors such as age, stage, and neoadjuvant chemotherapy were statistically significant prognostic factors for OS in multivariate analysis. While patients with low NLR and SII had longer OS (P = 0.003 and P = 0.018), patients with high NPS score had shorter OS (67.7 vs 21.7 months, P = 0.001).
Patients with lower NLR, NPS, and SII score have a better prognosis compared with those with higher NLR, NPS, and SII score and these simple parameters may be monitoring tools of the tumor microenvironment.
由于免疫系统与肿瘤细胞相互作用的数据不断增加，炎症标志物成为癌症研究的新视角，并且在许多不同类型的实体瘤中发现了它们的预后和预测重要性。因此，我们旨在评估中性粒细胞与淋巴细胞比值（NLR）、中性粒细胞与血小板评分（NPS）和全身炎症指数（SII）在尤因肉瘤患者中的预后价值，目前该疾病的风险组仍未明确界定。
对64例患者进行回顾性评估。进行受试者工作特征分析以确定NLR和SII的临界值。采用Kaplan-Meier法计算生存分析。进行Cox回归分析以确定年龄、分期和新辅助化疗等预后因素，在多变量分析中，这些因素是总生存期（OS）的统计学显著预后因素。NLR和SII较低的患者OS较长（P = 0.003和P = 0.018），而NPS评分较高的患者OS较短（67.7个月对21.7个月，P = 0.001）。
与NLR、NPS和SII评分较高的患者相比，NLR、NPS和SII评分较低的患者预后更好，这些简单参数可能是肿瘤微环境的监测工具。
