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Record W2913025776 · doi:10.1007/s11523-018-00618-0

Randomized, Open-Label, Crossover Studies Evaluating the Effect of Food and Liquid Formulation on the Pharmacokinetics of the Novel Focal Adhesion Kinase (FAK) Inhibitor BI 853520

2019· article· en· W2913025776 on OpenAlexaff
Remy B. Verheijen, Diane A.J. van der Biessen, Sebastién J. Hotte, Lillian L. Siu, Anna Spreafico, Maja J.A. de Jonge, Linda Pronk, Filip De Vos, David Schnell, Hal W. Hirte, Neeltje Steeghs, Martijn P. Lolkema

Bibliographic record

VenueTargeted Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsPrincess Margaret Cancer CentreJuravinski Cancer Centre
FundersBoehringer Ingelheim
KeywordsMedicinePharmacokineticsFocal adhesionCrossoverCrossover studyPharmacologyKinasePathologyPhosphorylationBiochemistry

Abstract

fetched live from OpenAlex

BI 853520 is a potent inhibitor of focal adhesion kinase and is currently under clinical development for the treatment of non-hematological malignancies. The objective of this study was to evaluate the effect of food and liquid dispersion on the pharmacokinetics of BI 853520 in two open-label, crossover substudies. Sixteen patients with advanced solid tumors were enrolled in each substudy. The order of administration was randomized, and pharmacokinetic samples were collected for 48 h after administration of a 200 mg dose of BI 853520. Lack of effect would be demonstrated if the 90% confidence interval (CI) of the ratio of the adjusted geometric mean (GMR) of the area under the plasma curve (area under the plasma concentration–time curve from time zero to the last quantifiable concentration at tz [ $${\text{AUC}}_{{0{-}t_{\text{z}} }}$$ ] and observed area under the plasma concentration–time curve extrapolated from time zero to infinity [AUC0–∞,obs]) and maximum plasma concentration (Cmax) did not cross the 80–125% (bioequivalence) boundaries. Adjusted GMRs (90% CIs) for the fed versus fasted state were 92.46% (74.24–115.16), 98.17% (78.53–122.74), and 87.34% (71.04–107.38) for $${\text{AUC}}_{{0{-}t_{\text{z}} }}$$ , AUC0–∞,obs, and Cmax, respectively. Although the 90% CIs were not within bioequivalence limits for the food-effect study, the limited reductions in these pharmacokinetic parameters after administration with a high-fat meal are unlikely to be clinically relevant. Compared with a tablet, administration of BI 853520 as a liquid dispersion did not strongly affect $${\text{AUC}}_{{0{-}t_{\text{z}} }}$$ , AUC0–∞,obs, or Cmax, resulting in adjusted GMRs (90% CIs) of 1.00 (0.92–1.09), 0.98 (0.90–1.07), and 0.93 (0.86–1.01), respectively. These studies demonstrate that BI 853520 can be given with no food restrictions, and as a liquid dispersion, without strongly impacting pharmacokinetics. These pharmacokinetic properties may help make BI 853520 dosing more convenient and flexible, improving treatment compliance. ClinicalTrials.gov identifier: NCT01335269.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.084
GPT teacher head0.429
Teacher spread0.345 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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