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Effect of food on exposure to napabucasin: Data from two phase I studies.

2021· article· en· W3122808051 on OpenAlexaboutno aff
Xiaoshu Dai, Naoto Noda, Yuran Xie, Bo Xu, Matthew Hitron, Michael D. Karol

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicBioactive Compounds and Antitumor Agents
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePharmacology

Abstract

fetched live from OpenAlex

477 Background: Napabucasin is an orally-administered NAD(P)H quinone dehydrogenase 1–bioactivatable investigational agent hypothesized to affect multiple oncogenic cellular pathways including STAT3. Methods: Food effects on napabucasin pharmacokinetics were evaluated in two studies: one at two sites in Japan (Study 1; JapicCTI-205447) and the other at two sites in the US and three in Canada (Study 2; NCT01775423). Study 1 enrolled healthy Japanese male volunteers (HJMV) who received napabucasin 480 mg (formula 2) per sequential design — fasting on Day (D) 1 followed by a Japanese diet (JD) on D8 — with a 6-D intervening washout. In Study 2, patients (pts) with advanced malignancies received napabucasin 500 mg (formula 1) on D1 in the fasted state, then napabucasin 500 mg (formula 2) on D4 and D8 with a high-fat breakfast [HFB] or in the fasted state per the randomized sequence per crossover design. Results: In Study 1, mean plasma napabucasin levels 6–10 h after napabucasin 480 mg administration were higher in fed (JD) vs fasted states; in the fed state, Cmax increased by 15% and AUClast by ~60% (Table), while tmax decreased by ~1.4 hours. Adverse events (AEs) in Study 1 occurred in 5/6 (83.3%) HJMVs (fasted, n=3; fed, n=5; all grade [gr] 1). In Study 2, mean concentration profiles were comparable in fasted and fed (HFB) states for napabucasin 500 mg. When comparing fasted and fed states, Cmax increased by 21% and AUClast by 39% in the fed state (Table). Interpatient variability was high: geometric CV% for CL/F was 75.9% (fed) and 141% (fasted). AEs in Study 2 occurred in 68% (17/25) of fasted pts (gr 1: n=7; gr 2: n=8; gr 3, n=2) and 50% (7/14) of pts fed an HFB (gr 1: n=2; gr 2: n=3; gr 3, n=2). Conclusions: In HJMVs, napabucasin 480 mg administered with a JD increased exposure (Cmax; AUClast; AUCinf) and decreased tmax vs the fasted state. In pts with advanced malignancies, napabucasin 500 mg administered with an HFB increased exposure (Cmax; AUClast) vs the fasted state. These exposure increases are not considered to be of clinical relevance. Clinical trial information: JapicCTI-205447; NCT01775423. [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)0.003
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.628
GPT teacher head0.671
Teacher spread0.044 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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