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Dabrafenib + trametinib combination therapy in pediatric patients with BRAF V600-mutant low-grade glioma: Safety and efficacy results.

2020· article· en· W3029941476 on OpenAlexaff
Birgit Geoerger, Éric Bouffet, James A. Whitlock, Christopher L. Moertel, Darren Hargrave, Isabelle Aerts, Kenneth J. Cohen, Lindsay Kilburn, Karen Wright, Jeea Choi, Eduard Gasal, Mark W. Russo, Elizabeth Fox

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNovartis
KeywordsMedicineTrametinibDabrafenibTolerabilityOncologyAdverse effectInternal medicineCombination therapyGliomaPediatric cancerNeurocognitiveCohortDiscontinuationClinical trialCancerMAPK/ERK pathwayCancer researchVemurafenib

Abstract

fetched live from OpenAlex

10506 Background: Low-grade gliomas (LGGs) are the most common brain tumors among children. Pediatric LGGs are often not surgically resectable and tend to demonstrate relapsed/remitting courses with current standard chemotherapy regimens. Moreover, radiation is often avoided due to its associated neurocognitive and endocrinologic sequelae. However, in pediatric patients (pts) with BRAF V600-mutant LGG, dabrafenib monotherapy has demonstrated meaningful clinical activity and acceptable tolerability (Hargrave et al, Clin Cancer Res. 2019; NCT01677741). Here we report the efficacy and safety of dabrafenib + trametinib (D+T) combination therapy in pediatric pts with previously treated BRAF V600-mutant LGG. Methods: This is a 4-part, open-label, multicenter, phase I/II study (NCT02124772). The limited dose-escalation (ESC) portion evaluated the D+T combination in pediatric pts ( < 18 y) with recurrent/refractory BRAF V600-mutated solid tumors that were naive to MAPK pathway–targeted therapy. This was followed by a tumor cohort expansion (EXP), and the D+T combination was evaluated in BRAF V600-mutant LGG pts at recommended dose levels. Efficacy was determined by both investigator and independent review using the RANO criteria (for gliomas). Adverse events (AEs) were assessed per NCI-CTCAE v4.03. Results: Overall, 36 pediatric pts with LGG received D+T combination therapy (ESC, n = 16; EXP, n = 20); pooled efficacy data were available for both ESC and EXP, while LGG-specific safety data were available for EXP. At interim analysis (Aug 2019), 17 of the 20 pts in EXP remained on protocol therapy. Three pts withdrew/discontinued treatment because of AEs. Skin toxicity (95%) and pyrexia (75%) were the frequent AEs reported. No on-treatment deaths were reported. Across both ESC and EXP, the objective response rate (ORR) was 25% (95% CI, 12%–42%) per independent review (1 complete response [CR], 8 partial response [PR], 24 stable disease [SD], 2 progressive disease [PD], 1 unknown [UNK]) and 50% (95% CI, 33%–67%) per investigator review (2 CR, 16 PR, 17 SD, 1 UNK). However, ORR + SD was similar, with 92% and 97% of pts having SD or better per independent and investigator review, respectively. Conclusions: In pediatric pts with pretreated BRAF V600-mutant LGG, D+T combination therapy demonstrated clinical activity, with 92% of pts having SD or better by independent review using the RANO criteria. Pyrexia and skin toxicity were the common AEs; majority of these were low-grade and manageable. Clinical trial information: NCT02124772.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.386
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations13
Published2020
Admission routes1
Has abstractyes

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