MétaCan
Menu
Back to cohort

Preliminary results of BEAVER: An investigator-initiated phase II study of binimetinib and encorafenib for the treatment of advanced solid tumors with non-V600E BRAF mutations (mts).

2021· article· en· W3166746419 on OpenAlexaff
April A. N. Rose, Olubukola Ayodele, Sofia Genta, Thiago Pimentel Muniz, Deirdre Kelly, Kelsey Hodgson, Ian King, Tracy Stockley, Trevor J. Pugh, Zaid Saeed Kamil, Marcus O. Butler, Frances A. Shepherd, Philippe L. Bédard, Natasha B. Leighl, Albiruni Ryan Abdul Razak, Aaron R. Hansen, Samuel D. Saibil, David W. Cescon, Lillian L. Siu, Anna Spreafico

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of TorontoJewish General Hospital
FundersPfizerConquer Cancer Foundation
KeywordsMedicineInternal medicineMelanomaOncologyAdverse effectCancer research

Abstract

fetched live from OpenAlex

e15038 Background: Recurring oncogenic non-V600E BRAF mts have been identified in many cancer types. Preclinical data indicate that some BRAF non-V600E mts can be targeted with BRAF + MEK inhibitors. BEAVER is an investigator-initiated study designed to test the safety and efficacy of binimetinib and encorafenib (B+E) in patients (pts) with non-V600E BRAF mts. Methods: Key eligibility criteria are: pts with advanced solid tumors with BRAF non-V600E activating (class 1 and 2) or inhibitory (class 3) mts, and no prior BRAF/MEK inhibitors. Pts receive binimetinib (45mg PO BID) and encorafenib (450mg PO daily) on a 28-day cycle until intolerable toxicity or progression. The primary objective is OR rate (ORR) as per RECIST 1.1. In this Simon 2-stage trial, ≥1 of 7 pts need to have an objective response (OR) before commencing second stage of study (26 pts total). Secondary objectives include: safety, DCR, PFS, and OS. Exploratory objectives include: genomic profiling of tumors, evaluating circulating tumor DNA dynamics and development of patient derived xenograft (PDX) models. Results: From June 2019 to Feb 2021, 12 pts were screened and 9 pts enrolled; 9 are evaluable for safety and 8 for efficacy. Tumor types were melanoma and colon (n=2 each), as well as gallbladder, lung, breast and uterine cancers (n=1 each). Median age was 62 yrs (range 40-72). Median number of prior treatments was 2 (range 0-6). 1 pt had a class 1, 3 pts had class 2, and 5 pts had class 3, non-V600E BRAF mts. The median number of cycles was 2 (range: 1-7). Common treatment-related adverse events were mostly grade ≤ 2, and included: Blurred vision (78%), fatigue (67%), nausea (44%), vomiting (33%), and rash (33%). Dose reductions were required in 4/9 pts (44%) due to: blurred vision (22%), central serous retinopathy (11%), malaise (11%) and increased lipase (11%). Drug-related grade 3 AEs occurred in 2/9 pts and included: malaise (11%), confusion (11%), fatigue (11%) and increased lipase (11%). All eye toxicities were reversible with dose interruption. ORR was 12.5% (1/8) with one unconfirmed PR in a melanoma pt (BRAF G469S), treated for 6.5 months. One gallbladder cancer pt (BRAF D594N) had SD, and 6 pts had PD as best response. Genomic profiling was performed on archival tumors for 8 pts. Two PDX models were established. Responses to B+E in PDX models mirrored responses in 2 corresponding pts who had PD. Genomic and molecular profiling of pt tumors and corresponding PDXs identified multiple potential mechanisms of B+E resistance including: activation of EGFR and Akt pathways and inactivation of NF1 and Rb1. Conclusions: Preliminary data confirmed the safety of B+E and showed preliminary evidence of anti-tumor activity in advanced cancer pts with non-V600E BRAF mts. This study met the criterion for advancing to stage 2. Enrolment in the BEAVER trial and correlative biomarker analyses are ongoing. Clinical trial information: NCT03839342.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.150
GPT teacher head0.492
Teacher spread0.342 · 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 designNon-randomized 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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicColorectal Cancer Treatments and StudiesFrench-language works237,207