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Record W4404704376 · doi:10.1016/j.lungcan.2024.108040

The efficacy of continuing osimertinib with platinum pemetrexed chemotherapy upon progression in patients with metastatic non-small cell lung cancer harboring sensitizing EGFR mutations

2024· article· en· W4404704376 on OpenAlexaff
Tejas Patil, Dexiang Gao, Alexander Watson, M Sakamoto, Yunan Nie, A.J. Gibson, Michelle L. Dean, Benjamin A. Yoder, Eliza Miller, Margaret Stalker, Dara L. Aisner, Paul A. Bunn, Erin L. Schenk, Melina E. Marmarelis, Chiara Bennati, Vishal Navani, Yongchang Zhang, D.R. Camidge

Bibliographic record

VenueLung Cancer · 2024
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsUniversity of Calgary
FundersNational Center for Advancing Translational SciencesCancer Center, University of ColoradoNational Institutes of HealthNational Cancer InstituteGeorgia Clinical and Translational Science Alliance
KeywordsMedicineOsimertinibPemetrexedLung cancerOncologyChemotherapyInternal medicineCancer researchCancerEpidermal growth factor receptorCisplatinErlotinib

Abstract

fetched live from OpenAlex

INTRODUCTION: For patients with EGFR mutant NSCLC who progress on osimertinib, the clinical benefit of continuing osimertinib with next line platinum pemetrexed chemotherapy remains unknown. METHODS: In this international, multi-center, retrospective cohort study, a total of 159 patients with EGFR mutant NSCLC who progressed on osimertinib and received platinum-pemetrexed therapy on progression from 2013 to 2023 were included. The data cutoff was December 31, 2023. Data analysis was conducted from January 2024 to June 2024. The primary endpoints were progression free survival (PFS) and overall survival (OS), analyzed using Kaplan-Meier methods. Multivariable Cox regression adjusting for patient-specific and cancer-specific factors was performed. RESULTS: 421 patients with EGFR mutant NSCLC with progression on osimertinib were identified, of which159 patients who met pre-specified inclusion criteria were divided into two groups: Cohort 1 (osimertinib + platinum-pemetrexed) included 50 patients (median [IQR] age, 59 [30 - 83] years; 36 [72.0 %] female; 11 [22.4 %] Asian) and Cohort 2 (platinum-pemetrexed alone) included 109 patients (median [IQR] age, 54 [25 - 80] years; 62 [56.9 %] female; 74 [64.9 %] Asian). Most patients were never smokers (Cohort 1, 37 [74.0 %]; Cohort 2, 66 [60.6 %]). One third of patients had baseline brain metastases (Cohort 1, 19 [38.0 %]; Cohort 2, 36 [38.3 %]). Both cohorts had a median of two prior lines of anti-cancer therapy. The addition of bevacizumab or immune checkpoint inhibitors (ICI) to next-line platinum-pemetrexed chemotherapy was more common in Cohort 2 (bevacizumab use, 30.3 % vs 8.0 %, p = 0.002; ICI use, 33.0 % vs 2.0 %, p = 0.001). With a median duration of follow up of 30 months, there was a significant PFS benefit to continuing osimertinib with next line platinum pemetrexed chemotherapy (9.0 vs 4.5 months; HR 0.49, 95 % CI 0.32 - 0.74, p = 0.0032), also seen in subset analyses of patients who received first line osimertinib (n = 55, 11.0 vs 6.2 months; HR 0.41, 95 % CI 0.25 - 0.73, p = 0.002). Among patients with EGFR mutant NSCLC without brain metastases after progression on osimertinib, we found that continuing osimertinib with next line platinum pemetrexed significantly reduced the median time to CNS progression (n = 38; 7.0 vs 4.1 months; HR 0.47, 95 % CI 0.48 - 0.98, p = 0.01). After adjusted analysis, there was no significant OS difference between Cohorts 1 and 2 (19 months vs 13 months; HR 0.92, 95 % CI 0.60 - 1.39, p = 0.68). CONCLUSIONS AND RELEVANCE: For patients with EGFR mutant NSCLC who progress on osimertinib, there is a significant PFS, but not OS, benefit to continuing osimertinib with next line platinum pemetrexed chemotherapy. The continuation of osimertinib with next line platinum pemetrexed chemotherapy appears to reduce the risk of CNS progression.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.078
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.312
Teacher spread0.305 · 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 teacher head, 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

Citations10
Published2024
Admission routes1
Has abstractyes

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