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Record W4289878639 · doi:10.1093/noajnl/vdac078.085

SYST-06 INTRACRANIAL ACTIVITY OF TEPOTINIB IN PATIENTS WITH MET EXON 14 (METEX14) SKIPPING NSCLC ENROLLED IN VISION

2022· article· en· W4289878639 on OpenAlexaff
Natasha B. Leighl, Christine M. Bestvina, Jyoti D. Patel, Xiuning Le, Rémi Veillon, Ian C. Anderson, Ingel Demedts, Marina Chiara Garassino, Julien Mazières, Masahiro Morise, Egbert F. Smit, S. Peter Eggleton, Aurora O’Brate, Gordon Otto, Rolf Bruns, Karl Maria Schumacher, Paul K. Paik

Bibliographic record

VenueNeuro-Oncology Advances · 2022
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineAsymptomaticInternal medicineCohortClinical endpointPopulationPhases of clinical researchOncologySurgeryClinical trial

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Brain metastases (BMs) occur in 20–40% of patients with METex14 skipping NSCLC. Tepotinib, a highly selective MET inhibitor, demonstrated an objective response rate (ORR) of 49.1% and median duration of response (mDOR) of 13.8 months, in METex14 skipping NSCLC patients in the Phase II VISION study (Cohorts A+C; N=275). Here, we report the intracranial activity of tepotinib in VISION. METHODS Patients with METex14 skipping NSCLC received oral tepotinib 500 mg QD (450 mg active moiety). Patients with BM (asymptomatic and symptomatic/stable) were eligible. Primary endpoint was systemic ORR (RECIST v1.1); a subgroup analysis in patients with BM was predefined (data cut-off: February 1, 2021). An ad-hoc retrospective analysis of brain lesions was conducted by an IRC using RANO-BM criteria. Responses were determined in patients with ≥1 evaluable post-baseline tumor assessment. For those with only non-target lesions (NTLs) per RANO-BM (enhancing and non-enhancing NTLs), disease control was defined as non-complete response (CR)/nonprogressive disease (PD). Data cut-off: July 1, 2020. RESULTS Fifty-one patients had baseline BM (Cohorts A+C). Systemic efficacy was consistent with the overall population (ORR 52.9% [95% CI: 38.5, 67.1], mDOR 9.0 months [95% CI: 5.6, not estimable]). Fifteen patients were evaluable by RANO-BM (Cohort A); 12 received prior radiotherapy for BM (median 6.4 weeks before treatment). Systemic best objective responses (BORs) were partial response (PR, n=9), stable disease (SD, n=3), and PD (n=3). Seven patients had target CNS lesions per RANO-BM (all with prior radiotherapy); intracranial BORs were PR (n=5), SD (n=1), and PD (n=1). For patients with NTL only (n=8), one had PD, and seven achieved intracranial disease control with three patients achieving CR of the enhancing NTL. 13/15 patients achieved intracranial disease control. CONCLUSIONS Tepotinib demonstrated robust systemic activity in patients with METex14 skipping NSCLC with BM, complemented by intracranial activity in an ad-hoc analysis using RANO-BM.

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 score0.177
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.283
Teacher spread0.274 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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