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Record W4393165834 · doi:10.1016/j.esmoop.2024.102582

3MO Amivantamab plus chemotherapy vs chemotherapy in EGFR-mutant advanced NSCLC after progression on osimertinib: A post-progression analysis of MARIPOSA-2

2024· article· en· W4393165834 on OpenAlexaff
Ryan D. Gentzler, Alexander I. Spira, Barbara Melosky, Scott Owen, Timothy F. Burns, Erminia Massarelli, Misako Nagasaka, Bruno Fang, Rachel E. Sanborn, O.G. Arrieta Rodriguez, Cynthia Card, Federico Cappuzzo, Kun Xia, P-L. Chu, Shalin Shah, B. Diorio, A. Garvin, P. Mahadevia, Joshua Bauml, Karen L. Reckamp

Bibliographic record

VenueESMO Open · 2024
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsUniversity of CalgaryMcGill UniversityInstitute of Cancer ResearchMontreal General HospitalBC Cancer Agency
FundersJanssen Biotech
KeywordsOsimertinibChemotherapyOncologyMedicineInternal medicineEpidermal growth factor receptorCancerErlotinib

Abstract

fetched live from OpenAlex

Amivantamab (ami) is an EGFR-MET bispecific antibody with immune cell-directing activity. In MARIPOSA-2 (NCT04988295), ami plus carboplatin-pemetrexed (ami-chemo) significantly prolonged progression-free survival (PFS) vs chemo in patients (pts) with EGFR-mutant advanced NSCLC after progression on osimertinib (Passaro Ann Oncol 2023). Post-progression outcomes from MARIPOSA-2 were assessed. 657 pts were randomized. These analyses focus on the 131 pts randomized to ami-chemo (safety: n=130) and 263 to chemo (safety: n=243). A third arm (ami-lazertinib-chemo) was modified and will be reported in the future. Post-progression endpoints were time to treatment discontinuation (TTD), time to subsequent therapy (TTST), and PFS after first subsequent therapy (PFS2). At a median follow-up of 8.7 months (mo), 55/130 (42%) pts in the ami-chemo arm and 173/243 (71%) in the chemo arm had progressive disease (PD). Among those with PD, 19/55 (35%) in the ami-chemo arm and 28/173 (16%) in the chemo arm were treated beyond progression for >4 weeks with a median (95% CI) post-progression treatment duration of 18.3 (9.0–NE) and 9.0 (6.0–16.4) weeks, respectively. Compared to chemo, ami-chemo significantly prolonged TTD (median, 11.0 vs 4.5 mo for chemo; HR, 0.37 [95% CI, 0.28–0.50]; P<0.0001), TTST (median, 12.1 vs 6.6 mo for chemo; HR, 0.42 [95% CI, 0.30–0.59]; P<0.0001), and PFS2 (median, 13.9 vs 11.3 mo for chemo; HR, 0.60 [95% CI, 0.40–0.92]; P=0.017). Among pts with PD, including pts treated beyond PD, 75% (41/55) in the ami-chemo arm discontinued treatment after progression vs 93% (161/173) for chemo. 63% of pts with PD initiated subsequent systemic therapy in both arms. Most common subsequent therapies were osimertinib (ami-chemo:10%; chemo: 9%) and docetaxel (ami-chemo: 7%; chemo: 9%). Ami-chemo significantly prolonged TTD, TTST, and PFS2 vs chemo. Ami-chemo represents the new standard of care for pts with EGFR-mutant advanced NSCLC after PD on osimertinib.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.381
Teacher spread0.370 · 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.

Study designOther design
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

Citations3
Published2024
Admission routes1
Has abstractyes

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