Pembrolizumab versus sintilimab in patients with advanced NSCLC: a retrospective multicenter study with propensity-score matching analysis.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2024-12-05 eCollection Date: 2024-01-01 DOI:10.3389/fonc.2024.1422039
Zhengzheng Xia, Juan Hong, Xiangyang Yu, Yuhua Ran, Huali Xie, Ziyuan Zhou, Jing Zuo, Tujia Chen, Jun Meng, Jun Yang
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Abstract

Background: Programmed cell death protein 1 (PD-1) inhibitors are commonly used worldwide for the management of non-small cell lung cancer (NSCLC). However, it remains unclear whether pembrolizumab and sintilimab, two of the most widely used PD-1 inhibitors in China, have significantly different effects on patients with NSCLC. A multicenter retrospective cohort study was designed and implemented using propensity-score matching (PSM) analysis to compare the effectiveness and safety profiles of pembrolizumab and sintilimab in patients with advanced NSCLC undergoing comprehensive therapy.

Methods: A total of 225 patients who received comprehensive therapy including pembrolizumab (n = 127) or sintilimab (n = 98), from 1 January to 31 December 2020 and met the eligibility criteria were included. PSM analysis (1:1) was performed to balance potential baseline confounding factors. For both treatments, Kaplan-Meier analysis and Cox regression were used to compare 1-year progression-free survival (PFS), disease control rate (DCR), objective response rate (ORR), and rates of all adverse events (AEs).

Results: PSM analysis resulted in 63 matched pairs of patients. After PSM, the median PFS was 8.68 months in the sintilimab group and 9.46 months in the pembrolizumab group. The 1-year PFS showed no significant difference between the pembrolizumab and sintilimab groups before and after PSM (P = 0.873 and P = 0.574, respectively). Moreover, within the matched cohort, the pembrolizumab group had an ORR of 30.2% and a DCR of 84.1%, whereas the sintilimab group exhibited an ORR of 41.3% and a DCR of 88.9%. There were no significant differences in the ORR and DCR between the two groups (P = 0.248 and P = 0.629, respectively). The incidence of grade 3 or 4 treatment-related AEs was significantly higher in the pembrolizumab group than that in the sintilimab group (42.9% vs. 33.3%, P = 0.043). Multivariable Cox proportional hazards regression analysis indicated that the lines of treatment and regimens significantly influenced the PFS of patients (P <0.05).

Conclusions: This study demonstrated the similar effectiveness of sintilimab and pembrolizumab in the treatment of patients with advanced NSCLC, with sintilimab potentially displaying a superior clinical safety profile.

Clinical trial registration: https://www.medicalresearch.org.cn/, identifier MR4423000113.

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Pembrolizumab与sintilimab在晚期NSCLC患者中的应用:一项采用倾向分数匹配分析的回顾性多中心研究。
背景:程序性细胞死亡蛋白1 (PD-1)抑制剂在世界范围内普遍用于非小细胞肺癌(NSCLC)的治疗。然而,目前尚不清楚派姆单抗和辛替单抗这两种在中国应用最广泛的PD-1抑制剂对NSCLC患者的疗效是否有显著差异。采用倾向评分匹配(PSM)分析设计并实施了一项多中心回顾性队列研究,比较派姆单抗和辛替单抗在接受综合治疗的晚期NSCLC患者中的有效性和安全性。方法:纳入2020年1月1日至12月31日期间接受包括派姆单抗(n = 127)或辛替单抗(n = 98)在内的综合治疗的225例符合资格标准的患者。进行PSM分析(1:1)以平衡潜在的基线混杂因素。两种治疗均采用Kaplan-Meier分析和Cox回归比较1年无进展生存率(PFS)、疾病控制率(DCR)、客观缓解率(ORR)和所有不良事件发生率(ae)。结果:PSM分析得到63对匹配的患者。PSM后,辛替单抗组的中位PFS为8.68个月,派姆单抗组为9.46个月。PSM前后pembrolizumab组和sintilimab组1年PFS差异无统计学意义(P = 0.873和P = 0.574)。此外,在匹配的队列中,派姆单抗组的ORR为30.2%,DCR为84.1%,而辛替单抗组的ORR为41.3%,DCR为88.9%。两组患者的ORR和DCR差异无统计学意义(P = 0.248、P = 0.629)。派姆单抗组3级或4级治疗相关不良事件发生率显著高于辛替单抗组(42.9% vs 33.3%, P = 0.043)。多变量Cox比例风险回归分析显示,治疗方案和方案对患者PFS有显著影响(p0.05)。结论:该研究表明,辛替单抗和派姆单抗在治疗晚期NSCLC患者方面具有相似的有效性,其中辛替单抗可能显示出更优越的临床安全性。临床试验注册:https://www.medicalresearch.org.cn/,标识符MR4423000113。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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