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Outcomes of patients treated with dabrafenib and trametinib who developed pyrexia syndrome and severe/complicated pyrexia syndrome.

2025· article· en· W4410803859 on OpenAlexaboutno aff
Justin Komisarof, Jayesh Menon, A Andrzejewski, Deborah Mulford

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDabrafenibTrametinibInternal medicineCancerMetastatic melanomaVemurafenibMAPK/ERK pathwayKinase

Abstract

fetched live from OpenAlex

e24092 Background: The combination of dabrafenib and trametinib has been used to treat many malignancies featuring BRAF mutations. The most common adverse event observed in patients on dabrafenib/trametinib is pyrexia syndrome. Pyrexia syndrome is defined by the Canadian Working Group as fever > 38 o C and/or chills, rigors, night sweats, and flu-like symptoms in the absence of infection. They further defined severe/complicated pyrexia as pyrexia syndrome requiring hospitalization, or complicated by CTCAE grade 2 or higher dehydration, hypotension, renal dysfunction, confusion, or vomiting. Here, we report the incidence of pyrexia and severe/complicated pyrexia associated with dabrafenib/trametinib at the University of Rochester Wilmot Cancer Center, and discuss the potential prognostic significance of pyrexia syndrome. Methods: We collected retrospective data on patients treated with dabrafenib and trametinib between 2015 and 2022. For each patient, we recorded the number of episodes of pyrexia and severe/complicated pyrexia. Additional information was collected on the type of malignancy, duration of therapy, and whether treatment was terminated due to an adverse event or disease progression. For each episode of pyrexia, analysis was performed to rule out infection. All cases for which the presence of infection was ambiguous were reviewed by an infectious disease specialist. Results: We reviewed 109 patients treated at our institution with dabrafenib and trametinib. 88 patients had complete outcomes data and were included in the final analysis. Melanoma was the most common malignancy followed by lung cancer, thyroid cancer, and glioma. 39% of patients developed pyrexia syndrome and 16% developed severe/complicated pyrexia. The median time to development of pyrexia syndrome was 1 month. On average, patients included in our study were on dabrafenib/trametinib for 12 months. Patients who developed pyrexia were more likely than patients who did not develop pyrexia to discontinue therapy due to an adverse event (32% vs 22%), and patients who developed severe/complicated pyrexia were even more likely to discontinue treatment (43%). However, patients who developed pyrexia on average remained on therapy for a longer period than patients who did not develop pyrexia (17 vs 9 months). Furthermore, patients who developed severe/complicated pyrexia remained on therapy for even longer (26 months). Conclusions: Pyrexia syndrome is the most common adverse event in patients treated with dabrafenib and trametinib. While patients who develop pyrexia and severe/complicated pyrexia are more likely to require their medication to be discontinued, they also remain on treatment for longer periods, suggesting that pyrexia may be a positive prognostic marker of treatment efficacy. This speaks to the importance of developing strategies for the management of pyrexia syndrome.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.030
GPT teacher head0.358
Teacher spread0.329 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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