Bench to bedside: mechanistic principles of targeting the RAF kinase in melanoma
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".