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Record W4408592042 · doi:10.1158/1078-0432.ccr-24-0254

Longitudinal Genomic Analysis to Fine-tune Targeted Therapy: Results of the Phase II LOGIC 2 Trial in Patients with <i>BRAF</i> V600-Mutant Metastatic Melanoma

2025· article· en· W4408592042 on OpenAlexaff
Reinhard Dummer, Shahneen Sandhu, Wilson H. Miller, Marcus O. Butler, Matthew H. Taylor, Lucie Heinzerling, Christian U. Blank, Eva Muñoz‐Couselo, Howard A. Burris, Michael A. Postow, Bartosz Chmielowski, Mark R. Middleton, Carola Berking, Jessica C. Hassel, Anja Gesierich, Cornelia Mauch, Joseph F. Kleha, Anna Polli, Allison S. Harney, Alessandra di Pietro, Paolo A. Ascierto

Bibliographic record

VenueClinical Cancer Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkMcGill UniversityUniversity of TorontoJewish General Hospital
FundersMemorial Sloan-Kettering Cancer CenterPfizerNational Cancer InstituteFoundation for the National Institutes of Health
KeywordsMedicineMetastatic melanomaMelanomaAdverse effectMEK inhibitorClinical endpointInternal medicineOncologyPhases of clinical researchClinical trialCancer researchMAPK/ERK pathwayKinase

Abstract

fetched live from OpenAlex

PURPOSE: LOGIC 2 (NCT02159066), a multicenter, open-label, two-part, phase II study, assessed encorafenib plus binimetinib combined with a third targeted agent after tumor progression on encorafenib plus binimetinib in patients with locally advanced, unresectable or metastatic BRAFV600-mutant melanoma. PATIENTS AND METHODS: Adults with locally advanced, unresectable or metastatic BRAFV600-mutant melanoma who were BRAF inhibitor/MEK inhibitor (BRAFi/MEKi) treatment-naïve or pretreated received encorafenib plus binimetinib (part I/run-in). Based on the genomic testing at disease progression following encorafenib plus binimetinib, patients were assigned to one of four treatment arms to receive encorafenib plus binimetinib with an appropriate molecularly targeted agent (ribociclib, infigratinib, capmatinib, or buparlisib; part II). The primary endpoint was best overall response; safety, biomarkers, pharmacokinetics, and other efficacy endpoints were also assessed. RESULTS: In part I/run-in, 75 BRAFi/MEKi-naïve patients and 83 BRAFi/MEKi-pretreated patients were treated; in part II, 58 patients were treated (ribociclib, n = 38; infigratinib, n = 1; capmatinib, n = 13; buparlisib, n = 6). The overall confirmed response rate was 73.3% [95% confidence interval (CI), 61.9-82.9] in BRAFi/MEKi-naïve patients, 25.3% (95% CI, 16.4-36.0) in pretreated patients, 2.6% (95% CI, 0.1-13.8) in the ribociclib arm, and 0% in the other three arms. Adverse events were manageable and consistent with the known safety profile of each drug. CONCLUSIONS: LOGIC 2 supports the use of encorafenib plus binimetinib for treatment-naïve and previously treated, locally advanced, unresectable or metastatic BRAFV600-mutant melanoma. However, adding a third targeted agent following disease progression did not show meaningful efficacy; further research is needed to identify other therapeutic targets to circumvent resistance.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.447
Teacher spread0.340 · 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 designNon-randomized trial
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

Citations2
Published2025
Admission routes1
Has abstractyes

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