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Record W4409595460 · doi:10.1016/j.lungcan.2025.108551

Osimertinib vs. Afatinib in 1L therapy of atypical EGFR-mutated metastatic non-small cell lung cancer (mNSCLC): A multi-institution, real-world survival analysis

2025· article· en· W4409595460 on OpenAlexaff
Adam Barsouk, Omar Elghawy, Lauren Reed-Guy, William Tompkins, Krishna Chandrasekhara, Connor B. Grady, Wade T. Iams, Fangdi Sun, Geoffrey Liu, Devalben Patel, Jorgé Nieva, Kristen A. Marrone, Vamsidhar Velcheti, Stephen V. Liu, Tejas Patil, Jared Weiss, William Schwartzman, Liza C. Villaruz, Amanda Hermann, Dara L. Aisner, Wei‐Ting Hwang, D. Ross Camidge, Lova Sun, Aditi Singh, Roger B. Cohen, Charų C. Aggarwal, Corey J. Langer, Melina E. Marmarelis

Bibliographic record

VenueLung Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersTakeda Pharmaceutical CompanyTakeda Pharmaceuticals U.S.A.AstraZenecaLUNGevity Foundation
KeywordsMedicineAfatinibOsimertinibOncologyLung cancerInternal medicineCancerErlotinibEpidermal growth factor receptor

Abstract

fetched live from OpenAlex

BACKGROUND: Data are limited on the efficacy of different TKIs for patients with atypical EGFR-mutated (AM) mNSCLC, a heterogeneous group excluding classical mutations (CM) L858R and exon19del. In our previous single-institution analysis, AM patients had longer survival with osimertinib than afatinib, but outcomes for patients with specific mutations could not be compared due to sample size. METHODS: We performed a multi-institution, retrospective survival analysis of atypical EGFR mutated (AM) mNSCLC patients treated with 1L osimertinib or afatinib between 2015-2021 at 12 US institutions. Time to discontinuation (TTD) and overall survival (OS) were estimated using Kaplan-Meier curves and compared using log rank tests between treatment or mutation groups. RESULTS: Among 52 patients identified, 32 (62 %) were treated with osimertinib and 20 (38 %) with afatinib. 20 had mutations in G719X (38 %), 12 in L861Q (23 %), and 5 in S768I (10 %). 34(65 %) had compound mutations: 20(62 %) had AM + CM, and 14(38 %) had ≥ 2 AMs. Among G719X (n = 20), afatinib was associated with longer time to discontinuation (TTD) (log-rank: p = 0.047) and longer OS (p = 0.043) vs. osimertinib. Median TTD (mTTD) was 20.3 m[95 %CI 7.3-24.2] and 9.4[1.7-14.0], respectively. For L861Q (n = 12), osimertinib was associated with longer TTD vs. afatinib (p = 0.004), with no statistical difference in OS (p = 0.215). mTTD was 7.2 m[2.2-12.3] and 1.3[0-3.1], respectively. In AM + CM (n = 20), osimertinib was associated with longer TTD and OS compared to those receiving afatinib (p = 0.037, p = 0.042, respectively). CONCLUSIONS: Patients with G719X alterations experienced longer TTD and OS with afatinib than osimertinib. In contrast, patients with L861Q alterations had longer TTD with osimertinib. In AM + CM pts, TTD and OS with osimertinib were longer than afatinib, suggesting that classical mutations may be driving the outcomes. Atypical EGFR mutations may warrant distinct treatment recommendations based on the specific mutation(s) identified, but more studies are needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.382
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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