首页> 外文期刊>Journal for ImmunoTherapy of Cancer >30?NLR (neutrophil lymphocyte ratio) and PLR (platelet lymphocyte ratio) changes as a predictor of eventual treatment failure and death on nivolumab therapy in renal cell carcinoma
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30?NLR (neutrophil lymphocyte ratio) and PLR (platelet lymphocyte ratio) changes as a predictor of eventual treatment failure and death on nivolumab therapy in renal cell carcinoma

机译:30?NLR(中性粒细胞淋巴细胞比)和PLR(血小板淋巴细胞比)作为肾细胞癌中性治疗失败和死亡的预测因子。肾细胞癌中的核细胞疗法

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Background Elevated baseline neutrophil lymphocyte ratios (NLR) are now well established as a poor predictor of survival in renal cell carcinoma (RCC) and other cancers. Platelet Lymphocyte Ratios (PLR) have also recently shown similar effects. Despite these findings, the practical use of these ratios is still somewhat limited. We have previously shown that higher NLRs may be associated with increased concentrations of myeloid derived suppressor cells (MDSC). We hypothesized that increases in NLR or PLR (NLR/PLR failure) at 2 months while on immunotherapy could be a predictor of eventual treatment failure and overall survival. Methods We analyzed patients who received nivolumab therapy for RCC at our institution from 3/2016 to 6/2019. Patients with complete data on NLR and PLR at time = 0 and 2 months and those who had accurate response and overall survival information available were selected (n = 37). Information on comorbidities, previous therapy, demographics were collected for adjusted analysis. NLR failure was defined as an increase of 3 or more compared to baseline NLR. Cox proportional hazard models were used to analyze the risk of progression and death with NLR/PLR failure at 2 months (± 2 weeks). Kaplan Meier graphs were constructed to trace survival functions for PFS and OS by NLR Results NLR failure was associated with a statistically significant increase in the risk of progression on nivolumab therapy (HR 4.26, 95% CI [1.47–12.3], p = 0.007), in an adjusted cox regression model that included baseline NLR. In this adjusted model, the value of baseline NLR to predict treatment failure was non-significant (HR 1.01, p – 0.69). Similarly, NLR failure increased the risk of death (HR 3.83 95% CI [1.23–11.9], p = 0.02), with a similar non-significant contribution of baseline NLR (HR 1.06, p = 0.06). NLR failure predicted PFS less than 6 months with 90% positive predictive value (9/10) and a 48% (12/25) negative predictive value, and survival less than 1 year with a 56% negative predictive value and 100% positive predictive value (10/10). PLR changes failed to show any association with PFS (HR 0.99, p = 0.93) or OS (HR 1.00, p = 0.93). Conclusions An increase in NLR of 3 or more at 2 months of therapy with nivolumab appears to predict for impending treatment failure and increasing risk of death with a high positive predictive value. NLR failure if validated in larger studies could be useful in treatment management Ethics Approval The study was approved by UAB Comprehensive Cancer Centers Ethics Board.
机译:背景技术目前升高的基线中性粒细胞淋巴细胞比率(NLR)被确定为肾细胞癌(RCC)和其他癌症的存活率差。血小板淋巴细胞比率(PLR)也最近显示出类似的效果。尽管有这些发现,但这些比率的实际使用仍然有限。我们之前已经表明,较高的NLR可能与髓样衍生抑制细胞(MDSC)的浓度增加相关。我们假设在免疫疗法时2个月的NLR或PLR(NLR / PLR失败)增加,可能是最终治疗失败和整体存活的预测因子。方法分析了从2016年3月3日至2019年3月6日在我们的机构接受碾压碾压碾压的患者。选择有关NLR和PLR的完整数据= 0和2个月的患者,并选择了具有准确响应和整体生存信息的人(n = 37)。有关合并,以前的治疗,提高人口统计学的信息进行调整分析。与基线NLR相比,NLR失败定义为3或更多的增加。 Cox比例危害模型用于分析2个月(±2周)的NLR / PLR损失的进展和死亡风险。 Kaplan Meier图构造成追踪PFS的存活功能,NLR结果NLR失败与Nivolumab治疗的进展风险的统计学显着增加相关(HR 4.26,95%CI [1.47-12.3],P = 0.007) ,在包括基线NLR的调整后的Cox回归模型中。在该调整后的模型中,基线NLR的值预测治疗失败是非显着的(HR 1.01,P-0.69)。同样,NLR失败增加了死亡风险(HR 3.83 95%CI [1.23-11.9],P = 0.02),具有类似的非显着贡献基线NLR(HR 1.06,P = 0.06)。 NLR失败预测PFS少于6个月,90%阳性预测值(9/10)和48%(12/25)的阴性预测值,并且存活率不到1年,负面预测值56%和100%阳性预测性价值(10/10)。 PLR更改未能显示任何与PFS关联(HR 0.99,P = 0.93)或OS(HR 1.00,P = 0.93)。结论与Nivolumab的2个月疗法3或更多的NLR的增加似乎预测即将发生的治疗失败,并增加死亡风险与高阳性预测值。如果在较大的研究中验证,NLR失败可能在治疗管理伦理审批中有用,该研究得到了UAB综合癌症中心道德委员会的批准。

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