Evidence map›Paper›PMID 40808912›Full record

ArticleGlobal medical genetics2025

A comprehensive comparison of third generation epidermal growth factor receptor tyrosine kinase inhibitors in the treatment efficacy and adverse events: A Bayesian meta-analysis.

Jinyu Yu, Hanyu Wu, Lu Yang, Wei Liu, Baoshan Cao, Baosheng Liang, Yangchun Gu

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In one paragraph

Article in Global medical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jinyu YuDepartment of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, PR China.
Hanyu WuDepartment of Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
Lu YangDepartment of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, PR China.
Wei LiuDepartment of Pharmacy, Peking University Third Hospital, Beijing 100191, PR China.
Baoshan CaoDepartment of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, PR China.
Baosheng LiangDepartment of Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
Yangchun GuDepartment of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is a challenge for clinicians to choose the optimal third generation EGFR-tyrosine kinase inhibitors (EGFR-TKIs) treatment for individual patients. In this meta-analysis we compare the efficacy of five third-generation EGFR-TKIs, as first-line and second-line therapies for non-small cell lung cancer (NSCLC) patients, and their adverse events (AEs). Methods: A Bayesian hierarchical network meta-analysis was conducted to evaluate the hazard ratios (HR) of first-line therapeutic effects and AEs for these third-generation EGFR-TKIs comparing with first-generation EGFR-TKIs. Additionally, a simple comparison analysis was conducted to evaluate second-line therapeutic effects. Results: All third-generation TKIs exhibited superior efficacy compared to Gefitinib in first-line treatment. Furmonertinib achieved the lowest HR in the exon 19 deletions subgroup (HR: 0.35; 95 % CI: 0.23-0.54), while Lazertinib showed the most favorable HR in the exon 21 L858R subgroup (HR: 0.44; 95 % CI: 0.28-0.70) and among patients with brain metastases (HR: 0.33; 95 % CI 0.18-0.59). In the second-line setting, Furmonertinib achieved the highest numerically objective response rate across the overall population (74.0 %; 95 % CI: 68.0-80.0 %) and all evaluated subgroups. Adverse event analysis showed that Furmonertinib had the lowest overall AE incidence, and Lazertinib had the lowest rate of high-grade (≥ grade 3) AEs. Conclusions: All third-generation EGFR-TKIs exhibited favorable efficacy in both first- and second-line settings. Differences in AE profiles were also noted.

Indexed as

Adverse eventsEfficacyEGFR mutationsNon-small cell lung cancerThird-generation TKIs

Identifiers

PMID40808912
PMCPMC12346681

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.