First-Line Third-Generation EGFR Tyrosine Kinase Inhibitor Monotherapy for Advanced EGFR-Mutated Non-Small Cell Lung Cancer: A Systematic Review and Network Meta-Analysis

Wei Du , Anlin Li , Bijing Xiao , Yunpeng Yang , Wenfeng Fang , Yan Huang , Shaodong Hong , Li Zhang

MedComm ›› 2025, Vol. 6 ›› Issue (11) : e70393

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MedComm ›› 2025, Vol. 6 ›› Issue (11) : e70393 DOI: 10.1002/mco2.70393
ORIGINAL ARTICLE

First-Line Third-Generation EGFR Tyrosine Kinase Inhibitor Monotherapy for Advanced EGFR-Mutated Non-Small Cell Lung Cancer: A Systematic Review and Network Meta-Analysis

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Abstract

Third-generation (third-gen) epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have revolutionized the management of advanced EGFR-mutated non-small cell lung cancer (NSCLC). However, a head-to-head comparison of efficacy and safety among third-gen EGFR TKIs is lacking. Seven randomized controlled trials with 3012 patients were included. All third-gen TKIs significantly prolonged progression-free survival (PFS) compared to first-generation (first-gen) TKIs, with no significant differences in PFS or objective response rate among the third-gen TKIs. Furmonertinib ranked highest for PFS (HR, 0.82; 95% credible intervals [CrI], 0.72–0.94). Aumolertinib demonstrated the best intracranial control (HR, 0.74; 95% CrI, 0.63–0.89). Osimertinib (HR, 0.90; 95% CrI, 0.83–0.99) and lazertinib (HR, 0.89; 95% CrI, 0.79–1.00) showed overall survival benefits over first-gen TKIs. Furmonertinib, aumolertinib, and osimertinib had lower rates of severe treatment-related adverse events (TRAEs), while befotertinib exhibited the highest risk of grade ≥3 TRAEs (RR, 3.96; 95% CrI, 2.35–7.17). This study is the first head-to-head comparison of third-gen EGFR-TKIs using a Bayesian network meta-analysis, offering critical insights into efficacy and safety. Our results support personalized selection of third-gen EGFR TKIs for patients with advanced EGFR-mutated NSCLC, particularly for subpopulations with CNS metastases or different mutation subtypes.

Keywords

Bayesian network meta-analysis / epidermal growth factor receptor / first-line / non-small cell lung cancer / tyrosine kinase inhibitors

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Wei Du, Anlin Li, Bijing Xiao, Yunpeng Yang, Wenfeng Fang, Yan Huang, Shaodong Hong, Li Zhang. First-Line Third-Generation EGFR Tyrosine Kinase Inhibitor Monotherapy for Advanced EGFR-Mutated Non-Small Cell Lung Cancer: A Systematic Review and Network Meta-Analysis. MedComm, 2025, 6(11): e70393 DOI:10.1002/mco2.70393

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References

[1]

R. L. Siegel, A. N. Giaquinto, and A. Jemal, “Cancer Statistics, 2024,” CA: A Cancer Journal for Clinicians 74, no. 1 (2024): 12-49.

[2]

K. Fu, F. Xie, F. Wang, and L. Fu, “Therapeutic Strategies for EGFR-Mutated Non-Small Cell Lung Cancer Patients With Osimertinib Resistance,” Journal of Hematology & Oncology 15, no. 1 (2022): 173.

[3]

E. Levantini, G. Maroni, M. Del Re, and D. G. Tenen, “EGFR Signaling Pathway as Therapeutic Target in Human Cancers,” Seminars in Cancer Biology 85 (2022): 253-275.

[4]

S. Dearden, J. Stevens, Y. L. Wu, and D. Blowers, “Mutation Incidence and Coincidence in Non Small-Cell Lung Cancer: Meta-analyses by Ethnicity and Histology (mutMap),” Annals of Oncology 24, no. 9 (2013): 2371-2376.

[5]

M. J. Moravan, P. E. Fecci, C. K. Anders, et al., “Current Multidisciplinary Management of Brain Metastases,” Cancer 126, no. 7 (2020): 1390-1406.

[6]

K. Pan, K. Concannon, J. Li, et al., “Emerging Therapeutics and Evolving Assessment Criteria for Intracranial Metastases in Patients With Oncogene-Driven Non-Small-Cell Lung Cancer,” Nature Reviews Clinical Oncology 20, no. 10 (2023): 716-732.

[7]

M. L. Meyer, B. G. Fitzgerald, L. Paz-Ares, et al., “New Promises and Challenges in the Treatment of Advanced Non-Small-Cell Lung Cancer,” Lancet 404, no. 10454 (2024): 803-822.

[8]

J. Vansteenkiste, T. Reungwetwattana, K. Nakagawa, et al., “CNS Response to Osimertinib vs Standard of Care (SoC) EGFR-TKI as First-Line Therapy in Patients (pts) With EGFR-TKI Sensitising Mutation (EGFRm)-Positive Advanced Non-Small Cell Lung Cancer (NSCLC): Data From the FLAURA Study,” Annals of Oncology 28 (2017): x189, https://www.annalsofoncology.org/article/S0923-7534(19)56553-X/fulltext.

[9]

J.-C. Soria, Y. Ohe, J. Vansteenkiste, et al., “Osimertinib in Untreated EGFR-Mutated Advanced Non-Small-Cell Lung Cancer,” New England Journal of Medicine 378, no. 2 (2018): 113-125.

[10]

R. A. Soo, B. C. Cho, J. H. Kim, et al., “Central Nervous System Outcomes of Lazertinib versus Gefitinib in EGFR-Mutated Advanced NSCLC: A LASER301 Subset Analysis,” Journal of Thoracic Oncology 18, no. 12 (2023): 1756-1766.

[11]

Y. Shi, G. Chen, X. Wang, et al., “Central Nervous System Efficacy of Furmonertinib (AST2818) Versus Gefitinib as First-Line Treatment for EGFR-Mutated NSCLC: Results from the FURLONG Study,” Journal of Thoracic Oncology 17, no. 11 (2022): 1297-1305.

[12]

Y. Shi, G. Chen, X. Wang, et al., “Furmonertinib (AST2818) Versus Gefitinib as First-Line Therapy for Chinese Patients With Locally Advanced or Metastatic EGFR Mutation-Positive Non-Small-Cell Lung Cancer (FURLONG): A Multicentre, Double-Blind, Randomised Phase 3 Study,” Lancet Respiratory Medicine 10, no. 11 (2022): 1019-1028.

[13]

T. Reungwetwattana, B. C. Cho, K. H. Lee, et al., “Lazertinib Versus Gefitinib Tyrosine Kinase Inhibitors in Treatment-Naíve Patients With EGFR-Mutated Advanced NSCLC: Analysis of the Asian Subpopulation in LASER301,” Journal of Thoracic Oncology 18, no. 10 (2023): 1351-1361.

[14]

S. S. Ramalingam, J. Vansteenkiste, D. Planchard, et al., “Overall Survival With Osimertinib in Untreated, EGFR-Mutated Advanced NSCLC,” New England Journal of Medicine 382, no. 1 (2020): 41-50.

[15]

S. Lu, J. Zhou, H. Jian, et al., “Befotertinib (D-0316) Versus Icotinib as First-Line Therapy for Patients With EGFR-Mutated Locally Advanced or Metastatic Non-Small-Cell Lung Cancer: A Multicentre, Open-Label, Randomised Phase 3 Study,” Lancet Respiratory Medicine 11, no. 10 (2023): 905-915.

[16]

S. Lu, X. Dong, H. Jian, et al., “AENEAS: A Randomized Phase III Trial of Aumolertinib Versus Gefitinib as First-Line Therapy for Locally Advanced or Metastatic Non-Small-Cell Lung Cancer With EGFR Exon 19 Deletion or L858R Mutations,” Journal of Clinical Oncology 40 (2022): 3162-3171.

[17]

K. H. Lee, B. C. Cho, M. J. Ahn, et al., “Lazertinib Versus Gefitinib as First-Line Treatment for EGFR-Mutated Locally Advanced or Metastatic NSCLC: LASER301 Korean Subset,” Cancer Research and Treatment 56, no. 1 (2024): 48-60.

[18]

G. J. Riely, D. E. Wood, D. S. Ettinger, et al., “Non-Small Cell Lung Cancer, Version 4.2024, NCCN Clinical Practice Guidelines in Oncology,” Journal of the National Comprehensive Cancer Network: JNCCN 22, no. 4 (2024): 249-274.

[19]

A. J. Cooper, L. V. Sequist, and J. J. Lin, “Third-Generation EGFR and ALK Inhibitors: Mechanisms of Resistance and Management,” Nature Reviews Clinical Oncology 19, no. 8 (2022): 499-514.

[20]

A. C. Tan and D. S. W. Tan, “Targeted Therapies for Lung Cancer Patients With Oncogenic Driver Molecular Alterations,” Journal of Clinical Oncology 40, no. 6 (2022): 611-625.

[21]

D. Planchard, P. A. Jänne, Y. Cheng, et al., “Osimertinib With or Without Chemotherapy in EGFR-Mutated Advanced NSCLC,” New England Journal of Medicine 389, no. 21 (2023): 1935-1948.

[22]

F. Skoulidis and J. V. Heymach, “Co-occurring Genomic Alterations in Non-Small-Cell Lung Cancer Biology and Therapy,” Nature Reviews Cancer 19, no. 9 (2019): 495-509.

[23]

N. I. Vokes, E. Chambers, T. Nguyen, et al., “Concurrent TP53 Mutations Facilitate Resistance Evolution in EGFR-Mutant Lung Adenocarcinoma,” Journal of Thoracic Oncology 17, no. 6 (2022): 779-792.

[24]

Z. Zhang, J. Xue, Y. Yang, et al., “Influence of TP53 Mutation on Efficacy and Survival in Advanced EGFR-Mutant Non-Small Cell Lung Cancer Patients Treated With Third-Generation EGFR Tyrosine Kinase Inhibitors,” MedComm 5, no. 6 (2024): e586.

[25]

S. Scott and B. Levy, “New ADCs Bring New Questions in EGFR NSCLC and Beyond,” Annals of Oncology 35, no. 5 (2024): 412-413.

[26]

A. Passaro, J. Wang, Y. Wang, et al., “Amivantamab plus Chemotherapy With and Without Lazertinib in EGFR-mutant Advanced NSCLC After Disease Progression on osimertinib: Primary Results From the Phase III MARIPOSA-2 Study,” Annals of Oncology 35, no. 1 (2024): 77-90.

[27]

A. Passaro, P. A. Jänne, T. Mok, and S. Peters, “Overcoming Therapy Resistance in EGFR-Mutant Lung Cancer,” Nature Cancer 2, no. 4 (2021): 377-391.

[28]

G. Harada, S. R. Yang, E. Cocco, and A. Drilon, “Rare Molecular Subtypes of Lung Cancer,” Nature Reviews Clinical Oncology 20, no. 4 (2023): 229-249.

[29]

C. S. Gawli, C. R. Patil, and H. M. Patel, “A Clinical Review on Third and Fourth Generation EGFR Tyrosine Kinase Inhibitors for the Treatment of Non-Small Cell Lung Cancer,” Bioorganic & Medicinal Chemistry 123 (2025): 118146.

[30]

M. Nagasaka, V. W. Zhu, S. M. Lim, et al., “Beyond Osimertinib: The Development of Third-Generation EGFR Tyrosine Kinase Inhibitors for Advanced EGFR+ NSCLC,” Journal of Thoracic Oncology 16, no. 5 (2021): 740-763.

[31]

H. A. Blair, “Befotertinib: First Approval,” Drugs 83, no. 15 (2023): 1433-1437.

[32]

B. Hutton, G. Salanti, D. M. Caldwell, et al., “The PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-Analyses of Health Care Interventions: Checklist and Explanations,” Annals of Internal Medicine 162, no. 11 (2015): 777-784.

[33]

J. P. T. Higgins, J. Thomas, J. Chandler, et al., eds., Cochrane Handbook for Systematic Reviews of Interventions. 2nd Edition. John Wiley & Sons; (2019).

[34]

G. Salanti, A. E. Ades, and J. P. Ioannidis, “Graphical Methods and Numerical Summaries for Presenting Results From Multiple-Treatment Meta-Analysis: An Overview and Tutorial,” Journal of Clinical Epidemiology 64, no. 2 (2011): 163-171.

[35]

Y. Zhao, J. Liu, X. Cai, et al., “Efficacy and Safety of First Line Treatments for Patients With Advanced Epidermal Growth Factor Receptor Mutated, Non-Small Cell Lung Cancer: Systematic Review and Network Meta-Analysis,” Bmj 367 (2019): l5460.

[36]

Y. Zhao, Y. He, W. Wang, et al., “Efficacy and Safety of Immune Checkpoint Inhibitors for Individuals With Advanced EGFR-Mutated Non-Small-Cell Lung Cancer Who Progressed on EGFR Tyrosine-Kinase Inhibitors: A Systematic Review, Meta-Analysis, and Network Meta-Analysis,” Lancet Oncology 25, no. 10 (2024): 1347-1356.

[37]

S. Dias, N. J. Welton, D. M. Caldwell, and A. E. Ades, “Checking Consistency in Mixed Treatment Comparison Meta-analysis,” Statistics in Medicine 29, no. 7-8 (2010): 932-944.

[38]

U. Krahn, H. Binder, and J. König, “A Graphical Tool for Locating Inconsistency in Network Meta-Analyses,” BMC Medical Research Methodology 13 (2013): 35.

[39]

S. Dias, N. J. Welton, A. J. Sutton, et al., “Evidence Synthesis for Decision Making 4: Inconsistency in Networks of Evidence Based on Randomized Controlled Trials,” Medical Decision Making 33, no. 5 (2013): 641-656.

[40]

D. J. Spiegelhalter, N. G. Best, B. P. Carlin, and A. Van Der Linde, “Bayesian Measures of Model Complexity and Fit,” Journal of the Royal Statistical Society Series B: Statistical Methodology 64, no. 4 (2002): 583-639.

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