MétaCan
Menu
Back to cohort

The BURAN study of buparlisib (AN2025) in combination with paclitaxel compared to paclitaxel alone, in patients with recurrent or metastatic head and neck squamous cell carcinoma.

2021· article· en· W3166697471 on OpenAlexaff
Denis Soulières, Sandrine Faivre, Kevin Dreyer, Lisa Licitra

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicinePlaceboInternal medicinePaclitaxelHead and neck squamous-cell carcinomaHazard ratioChemotherapyOncologyTolerabilitySurgeryHead and neck cancerCancerAdverse effectConfidence intervalPathology

Abstract

fetched live from OpenAlex

TPS6090 Background: Buparlisib (AN2025) is a 2,6-dimorpholino pyrimidine derivative oral pan-class I PI3K inhibitor. The PI3K signaling pathway is one of the most frequently altered pathways in HNSCC. A previous randomized, double-blind, placebo-controlled phase II study (BERIL-1)assessed patients with recurrent/metastatic HNSCC after PD on or after platinum-based chemotherapy in the metastatic setting. Patients assigned 1:1 to receive second-line oral buparlisib or placebo, plus intravenous weekly paclitaxel in 28-day cycles. Median PFS 4.6 months buparlisib arm, 3.5 months placebo arm (hazard ratio 0.65 [95% CI: 0.45–0.95], nominal one-sided p=0.011). Median OS 10.4 months buparlisib arm, 6.5 months placebo arm (hazard ratio 0.72 [95% CI: 0.49-1.04], nominal one-sided p=0.041). Best ORR buparlisib arm 39%, placebo arm 14%. Safety in buparlisib arm was manageable and comparable to placebo arm. (Soulieres, Lancet Oncology). Results suggest that buparlisib in combination with paclitaxel could be effective treatment following failure of platinum-based chemotherapy. Methods: The treatment algorithm for HNSCC was recently modified with inclusion of anti-PD-1/PD-L1 agents that provide a survival advantage, defining an unmet need after their use. The BURAN study is initiated as a confirmatory study to define activity in this setting. Methods: A multicenter, randomized, open-label phase III trial evaluating efficacy and safety of daily buparlisib (100 mg) in combination with weekly paclitaxel (80 mg/m2), compared to weekly paclitaxel alone, in patients with refractory, recurrent, or metastatic HNSCC, progressing after prior anti PD-1/anti PDL-1 therapy either as monotherapy or with a platinum-based regimen (in combination or sequence), and no more than two prior lines of treatment. 483 patients will be randomized 2:1, to receive either buparlisib in combination with paclitaxel or paclitaxel alone, stratified according to historical HPV status. Primary Objective: OS of buparlisib in combination with paclitaxel compared to paclitaxel alone. Secondary Objectives: Comparative PFS, ORR, and DoR, by Investigator and Independent Radiological Review Committee. Efficacy in subgroups of patients by randomization strata. Effect on symptoms and health related QOL. Efficacy related to biomarkers, microbiome analysis. Pharmacokinetics (PK) of buparlisib in combination with paclitaxel. Safety Objective: Comparative safety and tolerability. Primary analysis is OS in the ITT population, once 383 events have occurred, to demonstrate a 20% reduction in risk of death. Survival follow-up is to a maximum of five years. Trial opened December 12, 2020; X patients currently enrolled. Clinical Trial registry number: NCT04338399. Clinical trial information: NCT04338399.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.070
GPT teacher head0.445
Teacher spread0.375 · 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 designRandomized trial
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

Citations9
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicLung Cancer Treatments and MutationsFrench-language works237,207