Selumetinib for optic pathway glioma: Seeing through the fog, (not yet) the end of the tunnel?
Bibliographic record
Abstract
See the article by Fangusaro et al. pp. 1777–1788 Low-grade gliomas in children whenever not amenable to a resection represent one of the most challenging entities in pediatric neuro-oncology.1 Although transformation to higher-grade tumors is rare, current therapies consist of multiple rounds of conventional chemotherapy with a goal to preserve function, in anticipation of potential senescence where many children still proceed to radiotherapy. Unfortunately, many children suffer from lifelong sequelae of their tumor or treatment, and as such new treatment approaches are being explored.2 A major biological distinction between adult and pediatric low-grade gliomas (pLGG) is a near-uniform enrichment for activating lesions in BRAF (either fusion or mutation) with subsequent activation of the Ras/MAPK pathway, where MEK inhibition has been suggested as a rationale therapy.1 First results on selumetinib for recurrent/refractory pLGG from the Pediatric Brain Tumor Consortium (PBTC) have shown very promising activity.3,4...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".