阿帕替尼和安罗替尼治疗晚期非小细胞肺癌的有效性和安全性

IF 2.7 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
OncoTargets and therapy Pub Date : 2024-08-06 eCollection Date: 2024-01-01 DOI:10.2147/OTT.S468932
Xiao Wei, Yun Zhao, Wenyue Yan, Qigang Dai, Hui Wu, Yang Miao, Lei Huang, Qing Liu, Xuyao Zhang, Hongxia Wang, Yanan Liu, Linlin Zhang
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引用次数: 0

摘要

背景:安罗替尼和阿帕替尼都是血管内皮生长因子受体-酪氨酸激酶抑制剂(VEGFR-TKIs),在中国治疗晚期非小细胞肺癌(NSCLC)的临床试验中,安罗替尼已成为标准治疗策略。本研究旨在评估阿帕替尼和安罗替尼治疗晚期NSCLC患者的疗效和安全性,并比较两者的差异:我们回顾性分析了2017年1月至2021年12月在华东某医院接受阿帕替尼或安洛替尼治疗的晚期NSCLC患者的数据。主要终点为无进展生存期(PFS),次要终点包括客观反应率(ORR)、疾病控制率(DCR)、总生存期(OS)和安全性:本研究共纳入 145 名患者。阿帕替尼组的中位生存期(mPFS)为3.53个月,安罗替尼组为5.3个月(HR=0.59,95% CI:0.41-0.84;P=0.004),中位OS(mOS)为7.6个月对15.6个月(HR=0.68,95% CI:0.46-1.00;P=0.048),调整混杂因素后差异显著(P<0.05)。亚组分析显示,有无骨转移对两个治疗组的PFS均有显著影响。安罗替尼组的ORR为3.03%,阿帕替尼组为10.13%(P = 0.12);DCR为72.73%,阿帕替尼组为51.90%(P = 0.21)。未观察到意外不良事件(AE)。阿帕替尼组的3-4级AE发生率明显更高(31.65%对13.64%,P<0.05):结论:与阿帕替尼相比,安罗替尼在治疗晚期NSCLC,尤其是骨转移和表皮生长因子受体(-)患者方面具有更高的疗效和安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Efficacy and Safety of Apatinib and Anlotinib in Advanced Non-Small Cell Lung Cancer.

Background: Anlotinib and apatinib, both vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKIs), are clinically established in the treatment of advanced non-small cell lung cancer (NSCLC) in China, with anlotinib emerging as a standard treatment strategy. This study was conducted to evaluate the efficacy and safety of apatinib and anlotinib, and to compare their differences in treating patients with advanced NSCLC.

Patients and methods: We retrospectively analyzed the data of patients with advanced NSCLC treated with apatinib or anlotinib at a hospital in Eastern China from January 2017 to December 2021. The primary endpoint was progression-free survival (PFS), while secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety profile.

Results: A total of 145 patients were included in this study. Median PFS (mPFS) was 3.53 months for the apatinib group and 5.3 months for the anlotinib group (HR = 0.59, 95% CI: 0.41-0.84; P = 0.004), and median OS (mOS) was 7.6 months versus 15.6 months (HR = 0.68, 95% CI: 0.46-1.00; P = 0.048), which all showed significant differences after adjusting for confounders (P < 0.05). Subgroup analysis revealed that the presence or absence of bone metastases significantly influenced PFS in both treatment groups. The ORR was 3.03% in the anlotinib group versus 10.13% in the apatinib group (P = 0.12), the DCR was 72.73% versus 51.90% (P = 0.21). No unanticipated adverse events (AEs) were observed. The incidence of grade 3-4 AEs was significantly higher in the apatinib group (31.65% vs 13.64%, P < 0.05).

Conclusion: Anlotinib demonstrated greater efficacy and safety compared to apatinib in the treatment of advanced NSCLC, particularly in patients with bone metastases and EGFR(-).

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来源期刊
OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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