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1.重庆医科大学附属第二医院泌尿外科,重庆 400010
2.重庆大学附属涪陵医院泌尿外科,重庆 408000
陈荧野,Email:1107325585@qq.com,研究方向:尿路上皮癌免疫治疗。
陈 勇,Email:93404840@qq.com。
收稿:2023-04-22,
修回:2023-07-18,
录用:2023-08-28,
纸质出版:2023-08-28
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陈荧野,陈勇,姜庆,等.NLR及PLR对晚期尿路上皮癌免疫治疗疗效和预后的预测价值[J].重庆医科大学学报,2023,48(8):965-970.
Chen Yingye,Chen Yong,Jiang Qing,et al.Predictive value of NLR and PLR for outcome after immunotherapy in advanced urothelial carcinoma[J].Journal of Chongqing Medical University,2023,48(8):965-970.
陈荧野,陈勇,姜庆,等.NLR及PLR对晚期尿路上皮癌免疫治疗疗效和预后的预测价值[J].重庆医科大学学报,2023,48(8):965-970. DOI: 10.13406/j.cnki.cyxb.003317.
Chen Yingye,Chen Yong,Jiang Qing,et al.Predictive value of NLR and PLR for outcome after immunotherapy in advanced urothelial carcinoma[J].Journal of Chongqing Medical University,2023,48(8):965-970. DOI: 10.13406/j.cnki.cyxb.003317.
目的
2
探讨外周血中性粒细胞与淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)和血小板与淋巴细胞比值(platelet to lymphocyte ratio,PLR)对晚期尿路上皮癌免疫治疗疗效和预后的预测价值。
方法
2
回顾性分析2019年9月至2022年7月接受过免疫检查点抑制剂治疗的晚期尿路上皮癌患者的临床资料,绘制受试者工作特征曲线,根据曲线下面积(area under the curve,AUC)筛选的最佳截断值分组,应用Kaplan-Meier生存分析比较组间生存差异,运用Cox模型进行多因素分析筛选出独立预测因素。
结果
2
共纳入57例患者,经3周期免疫治疗后NLR较治疗前显著下降(
P
<
0.001),分别为2.40±1.08和3.05±1.07;而治疗前后PLR无明显变化(
P
=0.402),分别为226.41±111.70和246.97±113.17;外周血中治疗前后NLR、PLR及NLR变化幅度的AUC分别为0.829 1(
P
=0.004)、0.889 6(
P
<
0.001)、0.743 6(
P
=0.003)、0.740 4(
P
<
0.001)、0.798 4(
P
<
0.001)。生存分析显示:治疗前NLR≥3.17(3.5个月vs. 未达到,
P
<
0.001)、治疗前PLR≥284.40(5.7个月vs. 9.5个月,
P
=0.011)、治疗后NLR≥2.41(4.8个月vs. 9.9个月,
P
<
0.001)及NLR变化幅度
<
19.8%(5.8个月vs. 9.5个月,
P
=0.004)与较差的PFS相关,而一线免疫联合化疗具有更好的PFS(9.3个月vs. 6.0个月,
P
=0.006),且联合治疗组NLR变化更为显著(
P
=0.034)。Cox多因素分析表明治疗前NLR、NLR变化幅度及合并化疗与否是晚期尿路上皮癌免疫治疗PFS的独立预测因素(
P
<
0.05)。
结论
2
治疗前高NLR及PLR水平预示着不良预后,一线免疫联合化疗能显著降低NLR,延长患者PFS,而NLR及其动态变化是晚期尿路上皮癌免疫治疗的独立预测因素。
Objective
2
To explore the value of peripheral blood neutrophil-to-lymphocyte ratio(NLR) and platelet-to-lymphocyte ratio(PLR) in predicting the outcome after immunotherapy for advanced urothelial carcinoma.
Methods
2
We retrospectively analyzed the clinical data of patients with advanced urothelial carcinoma treated with immune checkpoint inhibitors from September 2019 to July 2022. The patients were grouped according to the cut-off value derived from the area under the curve(AUC). The Kaplan-Meier method was used to compare the survival of the groups. A multivariable Cox model was used to determine independent predictive factors.
Results
2
A total of 57 patients were included. After three cycles of immunotherapy,NLR was significantly decreased(pre-treatment 2.40±1.08 vs. post-treatment 3.05±1.07,
P
<
0.001). There was no significant change in PLR(pre-treatment 226.41±111.70
vs. post-treatment 246.97±113.17,
P
=0.402). The AUC values of pre-NLR,post-NLR,pre-PLR,post-PLR,and delta-NLR(change in NLR) were 0.829 1(
P
=0.004),0.889 6(
P
<
0.001),0.743 6(
P
=0.003),0.740 4(
P
<
0.001),and 0.798 4(
P
<
0.001),respectively. The survival analysis showed that pre-NLR ≥3.17(3.5 months vs. not achieved,
P
<
0.001),pre-PLR≥284.40(5.7 months vs. 9.5 months,
P
=0.011),post-NLR ≥2.41(4.8 months vs. 9.9 months,
P
<
0.001),and delta-NLR
<
19.8%(5.8 months vs. 9.5 months,
P
=0.004) were significantly associated with a poorer PFS;first-line immunotherapy combined with chemotherapy produced a better PFS(9.3 months vs. 6.0 months,
P
=0.006),and NLR change was significantly greater in patients with combined treatment(
P
=0.034). The multivariable Cox analysis showed that pre-NLR,delta-NLR,and whether chemotherapy was combined were independent predictors of PFS after immunotherapy in advanced urothelial carcinoma(
P
<
0.05).
Conclusion
2
High levels of NLR and PLR before treatment indicate a poor prognosis. First-line immunotherapy combined with chemotherapy can reduce NLR and prolonging patients’ PFS. NLR and its change are independent predictors of outcome after immunotherapy in advanced urothelial carcinoma.
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