Dragomir Radu, Dragomir Adelina Silvana, Negru Alina, Săftescu Sorin, Popovici Dorel, Schenker Michael, Lupușoru Raluca, Negru Șerban
Department of Obstetrics and Gynecology, 'Victor Babeș' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania.
Department of Oncology, 'Carol Davila' University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Exp Ther Med. 2021 May;21(5):526. doi: 10.3892/etm.2021.9958. Epub 2021 Mar 22.
Identifying markers capable of predicting outcomes in lung cancer patients treated with nivolumab represents a growing research interest. The combination of neutrophil-to-lymphocyte ratio (NLR) and body mass index (BMI) may help predict treatment efficacy. Thus, the present study aimed to investigate the influence of NLR and BMI on progression-free survival (PFS) in non-small-cell lung cancer (NSCLC) patients treated with nivolumab. A retrospective study was made on 80 patients with NSCLC that were treated with nivolumab at the OncoHelp Oncology Center, Timisoara, Romania after platinum-based chemotherapy, from January 2018 to April 2020. Patients were administered nivolumab at a dose of 3 mg/m or 240 mg total dose, every 2 weeks. The predictive impact of NLR (baseline at 2 and 4 weeks after the start of nivolumab) and BMI for disease progression was assessed. Median PFS for subjects with NLR <3 before treatment was 18.5 weeks, while in subjects with NLR ≥3 was 14 weeks (P=0.50). Median PFS for subjects with NLR2 <3 at 2 weeks after treatment was 21 weeks, while in subjects with NLR2 ≥3, PFS was 14 weeks (P=0.17). Median PFS for subjects with NLR4 <3 at 4 weeks after treatment was 23 weeks, while in subjects with NLR4 ≥3, PFS was 19 weeks (P=0.33). Multivariate analysis for the association with PFS showed that baseline NLR, male sex and BMI were associated independently, thus we could develop a significant statistical model [AUROC=0.76, 95% CI (0.45-0.89), P=0.03], a new predictive score for PFS. The assessment of NLR and BMI may represent simple and useful biomarkers; combining them and taking into consideration the male sex may predict PFS in patients with advanced NSCLC treated with nivolumab.
识别能够预测接受纳武单抗治疗的肺癌患者预后的标志物,正成为一个日益受到关注的研究领域。中性粒细胞与淋巴细胞比值(NLR)和体重指数(BMI)的联合应用可能有助于预测治疗效果。因此,本研究旨在探讨NLR和BMI对接受纳武单抗治疗的非小细胞肺癌(NSCLC)患者无进展生存期(PFS)的影响。对2018年1月至2020年4月在罗马尼亚蒂米什瓦拉的OncoHelp肿瘤中心接受铂类化疗后接受纳武单抗治疗的80例NSCLC患者进行了一项回顾性研究。患者每2周接受一次剂量为3 mg/m或总剂量240 mg的纳武单抗治疗。评估了NLR(纳武单抗开始治疗后2周和4周时的基线水平)和BMI对疾病进展的预测影响。治疗前NLR<3的受试者的中位PFS为18.5周,而NLR≥3的受试者为14周(P=0.50)。治疗后2周NLR2<3的受试者的中位PFS为21周,而NLR2≥3的受试者的PFS为14周(P=0.17)。治疗后4周NLR4<3的受试者的中位PFS为23周,而NLR4≥3的受试者的PFS为19周(P=0.33)。与PFS相关性的多变量分析表明,基线NLR、男性性别和BMI独立相关,因此我们可以建立一个具有显著统计学意义的模型[曲线下面积(AUROC)=0.76,95%置信区间(0.45-0.89),P=0.03],这是一个新的PFS预测评分。NLR和BMI的评估可能是简单而有用的生物标志物;将它们结合起来并考虑男性性别,可能预测接受纳武单抗治疗的晚期NSCLC患者的PFS。