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Efficacy and safety of BRAF/MEK inhibitor rechallenge in patients with advanced melanoma: Systematic review and meta-analysis.

2023· article· en· W4379282676 on OpenAlexaff
Jonathan N. Priantti, Maysa Vilbert, Thiago Madeira, Francisco Cézar Aquino de Moraes, Erica C. Koch Hein, Ludimila Cavalcante

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsUniversity of TorontoUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineInternal medicineOncologyMeta-analysisMelanomaAdverse effectCochrane LibraryConfidence intervalTargeted therapyRandomized controlled trialCancerCancer research

Abstract

fetched live from OpenAlex

e21535 Background: Approximately 50% of patients with melanoma harbor a BRAF mutation and are eligible for targeted therapy (TT) with BRAFi/MEKi. In spite of a response rate of nearly 70%, roughly half of patients will progress within a year due to development of resistance. Rechallenging patients with BRAFi/MEKi may be an alternative to overcome resistance and improve outcomes. We conducted a systematic review and meta-analysis to evaluate the efficacy and safety of BRAFi/MEKi rechallenge in patients with advanced melanoma. Methods: PubMed, Scopus, the Cochrane Library, ASCO publications, ESMO, and AACR databases were searched for relevant studies. Rechallenge was defined as patients treated with BRAFi/MEKi that developed disease progression or had significant adverse effects and went on an interval treatment or drug holiday, before being reintroduced to BRAFi/MEKi. Efficacy was assessed by objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS). Heterogeneity was examined with the I(2) statistics and random-effect model was used to pool studies. Results: Seven studies met inclusion criteria, with a total of 400 patients. The medium follow-up ranged from 6.8 to 15.7 months. Elevated LDH was seen in 48.5% (194/400) of patients, and 53% (164/310) had brain metastases (BM). Prior to rechallenge, 83% (333/400) of patients received immunotherapy as interval treatment, mainly anti-PD-1 and/or anti-CTLA-4, and 10% (40/400) were on a drug holiday. During the rechallenge, 79% (317/400) of patients were treated with the combination of BRAFi/MEKi, whereas 21% (83/400) were treated with BRAFi alone. In a pooled analysis, the median PFS was 5 months (95% CI 4.0 – 5.9), and median OS was 9.8 months (95% CI 9.3 – 20.4). The 1-year OS rate was 42.63% (95% CI 30.25 - 55.02). ORR was 34.25% (95% CI 28.50 - 40), and DCR was 65.01% (95% CI 57.31 - 72.72). Prognostic markers such as BM and elevated LDH were not statistically significant. Treatment was well tolerated without unexpected adverse events. Conclusions: This meta-analysis indicates that advanced melanoma patients with refractory disease benefit from rechallenge with BRAFi/MEKi, particularly from high DCR, with a promising effect on 1-year OS rate. Further randomized controlled trials are warranted to investigate these findings. [Table: see text]

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)0.010
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.029
Bibliometrics0.0060.007
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.081
GPT teacher head0.389
Teacher spread0.308 · 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.

Study designMeta-analysis
Domainnot available
GenreReview

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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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