关键词: non-small cell lung cancer stereotactic body radiation therapy systemic inflammation biomarker

来  源:   DOI:10.5603/rpor.100168   PDF(Pubmed)

Abstract:
UNASSIGNED: The monocyte-to-lymphocyte ratio (MLR), a systemic inflammation biomarker, has been shown to predict patient outcomes in several types of cancer. This study aimed to determine the association between MLR and local control (LC) and cause-specific survival (CSS) rates in patients with non-small cell lung cancer (NSCLC) treated with stereotactic body radiation therapy (SBRT).
UNASSIGNED: The median age of the 194 included participants (144 men, 50 women) was 80 (range, 50-96) years. The median follow-up period was 19 (range, 1-108) months. The LC and CSS rates were calculated using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazard regression models were used to estimate the LC and CSS rates.
UNASSIGNED: Local recurrence was observed in 25 patients during the follow-up. Univariate Cox proportional hazards regression analysis revealed that MLR, performance status, and tumor diameter were significant factors for LC. Multivariate analysis showed MLR and tumor diameter as significant factors (p = 0.041 and 0.031, respectively). The 1- and 2-year LC rates for the lower and higher MLR groups were 97.5% and 97.5%, and 89.7% and 81.2%, respectively. During the follow-up period, 14 patients died due to NSCLC. Although MLR tended to predict CSS in univariate analysis (p = 0.086), none of the parameters was significant in predicting CSS. However, MLR as a continuous variable was a significant factor for CSS in the univariate analysis (p = 0.004).
UNASSIGNED: Our data suggest that MLR is correlated with LC and CSS rates in NSCLC patients treated with SBRT.
摘要:
单核细胞与淋巴细胞之比(MLR),全身性炎症生物标志物,已被证明可以预测几种癌症患者的预后。这项研究旨在确定接受立体定向放射治疗(SBRT)治疗的非小细胞肺癌(NSCLC)患者的MLR与局部控制(LC)和原因特异性生存率(CSS)之间的关系。
194名参与者的平均年龄(144名男性,50名妇女)为80(范围,50-96)年。中位随访期为19(范围,1-108)个月。使用Kaplan-Meier方法计算LC和CSS速率。使用单变量和多变量Cox比例风险回归模型来估计LC和CSS率。
25例患者在随访期间观察到局部复发。单变量Cox比例风险回归分析显示,性能状态,和肿瘤直径是LC的重要因素。多因素分析显示MLR和肿瘤直径是显著因素(分别为p=0.041和0.031)。较低和较高MLR组的1年和2年LC率为97.5%和97.5%,89.7%和81.2%,分别。在后续期间,14例患者死于非小细胞肺癌。尽管MLR倾向于在单变量分析中预测CSS(p=0.086),这些参数在预测CSS时都没有意义。然而,在单变量分析中,作为连续变量的MLR是CSS的重要因素(p=0.004)。
我们的数据表明,在接受SBRT治疗的NSCLC患者中,MLR与LC和CSS率相关。
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