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Record W2942062551 · doi:10.1358/dot.2019.55.4.2958476

Encorafenib and binimetinib for the treatment of BRAFV600E/K-mutated melanoma

2019· review· en· W2942062551 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDrugs of today · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineMelanomaMAPK/ERK pathwayMetastatic melanomaV600ECancer researchOncologyKinasePharmacologyMutationInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

BRAF is a constituent of the mitogen-activated protein kinase (MAPK) signaling pathway, which serves to activate downstream MEK, and is one of the most commonly mutated oncogenes in human tumors. Indeed, BRAF V600 mutations are present in approximately 40% of metastatic melanoma tumors. Encorafenib (LGX-818, Braftovi) and binimetinib (MEK-162, Mektovi) are small-molecule inhibitors of BRAF and MEK, respectively. BRAF and MEK inhibitors have been shown to improve overall and progression-free survival among patients with metastatic melanoma. Of these inhibitors, encorafenib and binimetinib are the newest combination, which received approval by the Food and Drug Administration (FDA) for the treatment of BRAF V600E/K-mutated melanoma in June 2018. This review will focus on the preclinical pharmacology, pharmacokinetics and clinical utility of encorafenib and binimetinib in BRAF V600-mutated melanoma.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.041
GPT teacher head0.318
Teacher spread0.278 · 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