MétaCan
Menu
Back to cohort

COMBI-MB: A phase II study of combination dabrafenib (D) and trametinib (T) in patients (pts) with <i>BRAF</i> V600–mutant (mut) melanoma brain metastases (MBM).

2017· article· en· W2739116172 on OpenAlexaff
Michael A. Davies, Caroline Robert, Georgina V. Long, Jean‐Jacques Grob, Keith T. Flaherty, Ana Arance, Vanna Chiarion‐Sileni, L. Thomas, Thierry Lesimple, Laurent Mortier, Stergios J. Moschos, David Hogg, Iván Márquez‐Rodas, Michele Del Vecchio, Célèste Lebbé, Nicolás Meyer, Ying Zhang, Yingjie Huang, Bijoyesh Mookerjee, Philippe Saïag

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsDabrafenibMedicineTrametinibCohortInternal medicineAsymptomaticMetastatic melanomaMelanomaOncologyPhases of clinical researchRegimenGastroenterologyClinical trialCancerVemurafenibCancer research

Abstract

fetched live from OpenAlex

9506 Background: CNS metastases are common and associated with very poor prognosis in pts with metastatic melanoma (MM). In the phase II BREAK-MB trial, D had clinical activity in BRAF V600–mut MBM. D + T has shown superiority over D alone in pts with BRAF V600–mut mm without MBM; however, efficacy of this regimen on MBM has not been characterized. Here, we report results from a phase II trial of D + T in BRAFV600–mut MBM (COMBI-MB; NCT02039947). Methods: This open-label, phase II study evaluated D 150 mg BID + T 2 mg QD in 4 MBM cohorts: (A) BRAFV600E, asymptomatic MBM, no prior local treatment (Tx); (B) BRAFV600E, asymptomatic MBM, prior local Tx; (C) BRAFV600D/K/R, asymptomatic MBM, with or without prior local Tx; and (D) BRAFV600D/E/K/R, symptomatic MBM, with or without prior local Tx. The primary objective was intracranial response rate (IRR) in cohort A (null hypothesis, IRR ≤ 35%). Secondary endpoints included IRR in cohorts B, C, and D; extracranial (ERR) and overall (ORR) response rates; intracranial (IDCR), extracranial (EDCR), and overall (ODCR) disease control rates; duration of IR, ER, and OR; PFS; OS; and safety. Results: 125 pts were enrolled (A, n = 76; B, n = 16; C, n = 16; D, n = 17). In cohort A, median age was 52, 53% were male, and 37% had LDH > ULN. At data cutoff (28 Nov 2016; median f/u, 9.0 mo), in cohort A, investigator-assessed IRR was 58% (IDCR, 78%), ERR was 55% (EDCR, 80%), and ORR was 58% (ODCR, 80%). Median duration of IR, ER, and OR was 6.5 mo (95% CI, 4.9-10.3), 10.2 mo (95% CI, 6.5-13.0), and 6.5 mo (95% CI, 4.9-10.3), respectively. Median PFS was 5.6 mo (95% CI, 5.3-7.4). Independent review supported these results. 6-mo OS was 79%; with 31 pts (41%) still in f/u, preliminary median OS was 10.8 mo (95% CI, 8.7-19.6). Efficacy in cohorts B, C, and D will be reported. AEs across cohorts (any, 98%; grade 3/4, 48%) were consistent with prior D + T studies; 10% of pts (8% in cohort A) discontinued due to AEs. Conclusions: In this first report of a phase II trial evaluating a BRAF and MEK inhibitor combination in BRAFV600–mut MBM, the primary endpoint was met. Promising IRR and IDCR were seen with D + T, but responses appear less durable than reported for mm without MBMs. No unexpected safety issues were observed. Clinical trial information: NCT02039947.

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)0.001
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.076
GPT teacher head0.439
Teacher spread0.363 · 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

Citations10
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicClick Chemistry and ApplicationsFrench-language works237,207