LGG-59. REMARKABLE OBJECTIVE RESPONSE AND FAVORABLE SURVIVAL FOR BRAF-V600E CHILDHOOD LOW-GRADE GLIOMAS TO BRAF INHIBITORS COMPARED CONVENTIONAL CHEMOTHERAPY
Bibliographic record
Abstract
Activation of the MAPK pathway represents a hallmark of pediatric low-grade glioma (pLGG) and is frequently caused by BRAF alterations. BRAF-V600E represent an aggressive type of pLGG with less than optimal response to conventional chemo-radiation approaches. While clinical trials using BRAF-V600E inhibitors are ongoing, these data are not yet available. We have assembled an international cohort of BRAF-V600E glioma patients treated off-label with BRAF inhibitors as a monotherapy. Complete molecular, clinical and imaging data is being collected and compared to previous chemo-radiation therapies. Ongoing data form the taskforce on 40 BRAF-V600E gliomas from 25 international institutions is summarized below. The most prevalent histologies were ganglioglioma, pilocytic astrocytoma and pleomorphic xanthoastrocytoma, located mainly in the chiasm, brainstem and temporal lobes. Strikingly, 66% of BRAF V600E pLGG patients achieved partial response (PR) to targeted inhibitors versus only 6.6% response to conventional chemotherapy (p<0.001). Five patients progressed during treatment 0.5 to 2.1 years after the start of BRAF inhibitor therapy. Additionally, 3 pLGG progressed after discontinuation of therapy. Two-year progression-free survival was 84.2% (95%CI,69.3-100) versus 50% (95%CI,32.2-77.5) with targeted agents and chemotherapy, respectively (p=0.021). Interestingly, 6 patients with BRAF V600E positive high-grade glioma did not exhibit objective responses to BRAF inhibitor therapy and the majority suffered from early progression. Our data suggest BRAF inhibitors to be potent therapeutic agents in BRAF-V600E pLGG but not HGG. Future studies aimed at mechanism of resistance and differential response to targeted agents are required.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".