A Bayesian network meta-analysis of EGFR-tyrosine kinase inhibitor treatments in patients with EGFR mutation-positive non-small cell lung cancer

被引:0
|
作者
Yin, Jianqiong [1 ,2 ]
Huang, Jing [3 ]
Ren, Min [4 ]
Tang, Rui [1 ,2 ]
Xie, Linshen [5 ,6 ]
Xue, Jianxin [1 ,2 ,7 ,8 ]
机构
[1] Sichuan Univ, West China Hosp, Canc Ctr, Dept Thorac Oncol, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp, State Key Lab Biotherapy, Chengdu 610041, Sichuan, Peoples R China
[3] Sichuan Univ, Dept Ultrasound, West China Hosp, Chengdu 610041, Sichuan, Peoples R China
[4] Sichuan Univ, Abdominal Oncol Ward, Canc Ctr, Div Radiat Oncol,West China Hosp, Chengdu 610041, Sichuan, Peoples R China
[5] Sichuan Univ, West China Sch Publ Hlth, Chengdu 610041, Sichuan, Peoples R China
[6] Sichuan Univ, West China Hosp 4, Chengdu 610041, Sichuan, Peoples R China
[7] Sichuan Univ, West China Hosp, Canc Ctr, Div Thorac Tumor Multimodal Treatment,Natl Clin Re, Chengdu 610041, Sichuan, Peoples R China
[8] Sichuan Univ, West China Hosp, Lab Clin Cell Therapy, Chengdu 610041, Sichuan, Peoples R China
来源
CANCER PATHOGENESIS AND THERAPY | 2025年 / 3卷 / 02期
基金
中国国家自然科学基金;
关键词
Non-small cell lung cancer; EGFR-TKI; Network meta-analysis; Survival; Toxicity; 1ST-LINE TREATMENT; OPEN-LABEL; PHASE-III; GENE-MUTATIONS; ASIAN PATIENTS; GEFITINIB; AFATINIB; ERLOTINIB; ADENOCARCINOMA; CHEMOTHERAPY;
D O I
10.1016/j.cpt.2024.06.004
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: To date, no direct comparisons have been performed to compare the effectiveness of all epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) against EGFR mutation-positive non-small cell lung cancer (NSCLC). This study aimed to investigate the efficacy and safety of EGFR-TKIs in patients with EGFR mutation-positive NSCLC. Methods: We conducted a network meta-analysis of randomized controlled trials comparing osimertinib, lazertinib, aumolertinib, befotertinib, furmonertinib, dacomitinib, afatinib, erlotinib, gefitinib, icotinib, and chemotherapy. Pooled estimations of progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and toxicity (grade > 3 adverse events) were performed within the Bayesian framework. Results: Twenty-three trials involving 11 treatments were included. All EGFR-TKIs improved PFS relative to chemotherapy, except for icotinib (hazard ratio [HR] = 0.61,95% confidence interval [CI]: 0.26-1.44). All EGFRTKIs demonstrated significant ORR benefits over chemotherapy. Osimertinib seemed to prolong PFS compared with icotinib (HR = 0.29, 95% CI: 0.1-0.86), gefitinib (HR = 0.39, 95% CI: 0.21-0.74), and erlotinib (HR = 0.53, 95% CI: 0.29-1.0). In addition, osimertinib showed favorable superiority in improving OS compared with chemotherapy (HR = 0.6, 95% CI: 0.43-0.82), gefitinib (HR = 0.61, 95% CI: 0.45-0.83), erlotinib (HR = 0.65, 95% CI: 0.48-0.89), and afatinib (HR = 0.65, 95% CI: 0.44-0.94). Among these regimens, afatinib showed the highest ORR (cumulative probability: 96.96%). Icotinib was associated with minimal toxicity among the EGFRTKIs, followed by furmonertinib and osimertinib. Moreover, the toxicity spectra differed among the EGFRTKIs. Subgroup analyses of patients with two common types of EGFR mutations indicated that furmonertinib possessed the greatest PFS benefit in patients with exon 19 deletion, and lazertinib showed the greatest PFS benefit in patients with Leu858Arg mutation. We also identified differences between EGFR-TKIs in prolonging PFS in patients with brain metastasis. Conclusions: Osimertinib is the first choice of treatment with considerable efficacy and safety for EGFR mutation- positive NSCLC. The treatments associated with the best PFS in patients with exon 19 deletions and Leu858Arg mutations were furmonertinib and lazertinib, respectively.
引用
收藏
页码:135 / 146
页数:12
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