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Record W2134846340 · doi:10.1111/ijd.12724

Bench to bedside: mechanistic principles of targeting the RAF kinase in melanoma

2014· review· en· W2134846340 on OpenAlexaff
Thanashan Rajakulendran, David N. Adam

Bibliographic record

VenueInternational Journal of Dermatology · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVemurafenibMedicineMelanomaKinaseCancer researchMetastatic melanomaBench to bedsideDiseaseBioinformaticsInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

Melanoma, in its advanced form, is an aggressive cancer with a poor prognosis. To date, no therapeutic modality has afforded a high likelihood of curative outcome, with the exception of early surgical resection in patients diagnosed with local disease. However, recent advances in our understanding of the molecular mechanisms and pathophysiology of melanoma have paved the way towards the development of targeted therapeutics. A central player in melanomagenesis is the RAF family of kinases. Key mechanistic details regarding the regulation of RAF kinases have now begun to emerge. Already, vemurafenib, a tailored kinase inhibitor of aberrant RAF function in melanoma, has led to clinical benefit. Despite vemurafenib's success, acquired resistance to the drug warrants the need for further drug development. In this review, we discuss the critical role of RAF dimerization in both melanomagenesis and resistance to RAF inhibitors such as vemurafenib. We also highlight the potential for inhibitors of RAF dimerization to lead to improved outcomes in patients with advanced 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.026
GPT teacher head0.320
Teacher spread0.293 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2014
Admission routes1
Has abstractyes

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