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ORIGINAL RESEARCH article

Front. Pharmacol.

Sec. Pharmacology of Anti-Cancer Drugs

Volume 16 - 2025 | doi: 10.3389/fphar.2025.1519849

This article is part of the Research Topic EGFR-TKIs for Lung Cancer Treatment: Development, Application, and Side Effects View all 13 articles

Adverse Event Profiles of EGFR-TKI:Network Meta-analysis and Disproportionality analysis of the FAERS database

Provisionally accepted
Jing Shi Jing Shi 1Xinya Liu Xinya Liu 2Mengjiao Gao Mengjiao Gao 1Jian Yu Jian Yu 3Ting Chai Ting Chai 4Yun Jiang Yun Jiang 1Jiawei Li Jiawei Li 1Yuanming Zhang Yuanming Zhang 1*Li Wu Li Wu 1*
  • 1 Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China
  • 2 Fifth Affiliated Hospital of Xinjiang Medical University, Ürümqi, Xinjiang Uyghur Region, China
  • 3 Xinjiang Medical University, Ürümqi, Xinjiang Uyghur Region, China
  • 4 Xinjiang Cardiovascular and Cerebrovascular Hospital, Urumqi, China

The final, formatted version of the article will be published soon.

    Background: Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors (EGFR-TKIs) in clinical use show promise but can cause AEs, impacting patients' well-being and increasing costs. Methods: This study utilized two methods: network meta-analysis (NMA) and disproportionality analysis (DA). For NMA, we searched PubMed, Embase, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov up to September 10, 2024, for phase II/III RCTs comparing EGFR-TKI monotherapy with chemotherapy or other EGFR-TKIs. Using STATA 18.0, we calculated odds ratios (ORs) with 95% confidence intervals (CIs) and assessed heterogeneity via Chi-squared and I² tests. Adverse events (AEs) were ranked using the surface under the cumulative ranking curve (SUCRA). For DA, we analyzed FAERS data (January 2004-June 2024), evaluating AE signals with reporting odds ratios (RORs) and 95% CIs; signals were considered significant if the ROR and its 95% CI lower bound exceeded 1. Primary outcomes for NMA included all-grade AEs, grade ≥3 AEs, specific AEs, and AErelated mortality. For DA, outcomes included EGFR-TKI as the primary AE cause, time from treatment to AE, and AE-related mortality. Results: NMA: 48% of EGFR-TKI patients experienced AEs, with 32.7% being severe. Afatinib showed highest toxicity; Icotinib was safest. Osimertinib was associated with highest risks of leukopenia (8%) and thrombocytopenia (9%). DA: Osimertinib had strongest links to cardiac diseases and blood/lymphatic disorders. Gefitinib had the strongest signal for interstitial lung diseases; Erlotinib for anorexia. Most AEs occurred within 30 days, but cardiac disorders had a median onset of 41 days. Osimertinib had the highest AE-related mortality, with cardiac disorders leading in fatalities. Conclusion: This study used NMA and DA to explore EGFR-TKIrelated AEs. Drugs varied in AE profiles, mostly mild, but Osimertinib and Dacomitinib were associated with more severe events. Osimertinib carried a high cardiac risk, delayed onset, and high mortality. Thus, comprehensive patient assessment and close monitoring are crucial with EGFR-TKI use.

    Keywords: epidermal growth factor receptor, EGFR, Network meta-analysis, Disproportionality analysis, FAERS database, Real-world study, pharmacovigilance analysis

    Received: 30 Oct 2024; Accepted: 17 Feb 2025.

    Copyright: © 2025 Shi, Liu, Gao, Yu, Chai, Jiang, Li, Zhang and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yuanming Zhang, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China
    Li Wu, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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