The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Explaining Interindividual Variability of Docetaxel Pharmacokinetics and Pharmacodynamics in Asians Through Phenotyping and Genotyping Strategies
Abstract
PURPOSE: To explain the variability of docetaxel pharmacokinetics through study of CYP3A phenotype and genotype, and MDR1 genotype. PATIENTS AND METHODS: We studied the pharmacokinetics and pharmacodynamics of docetaxel in patients in whom it was indicated and who had not received known CYP3A4 substrates. Midazolam was administered intravenously to these patients at least 2 days before docetaxel treatment, and systemic clearances of both drugs were correlated. Patients were characterized for polymorphisms in the CYP3A4 promoter region, CYP3A5, and the C3435T polymorphism of MDR1. RESULTS: Thirty-two patients were enrolled, of whom 31 had full pharmacokinetic data sets. Docetaxel clearance correlated with midazolam clearance, body-surface area, serum albumin, and performance status. Docetaxel and midazolam clearances were normally distributed. In multiple linear regression analyses, midazolam clearance and performance status were the only significant covariates of docetaxel clearance, and the area under the curve of docetaxel, serum levels of alpha-1-acid glycoprotein, and ALT were significant predictors of nadir neutrophil count. No polymorphisms were detected in the 5′ regulatory region of CYP3A4. Nine patients of 25 studied were homozygous for the CYP3A5*3 genotype, and had lower mean clearance of midazolam but not docetaxel. The T/T genotype at the C3435T of MDR1, which is associated with reduced P-glycoprotein function, was found in eight of 27 patients. CONCLUSION: Midazolam may be used as a probe drug for CYP3A activity to predict docetaxel clearances, hence reducing interindividual variability. Homozygotes for CYP3A5*3 and C3435T of MDR1 are common in our population, and their effects on pharmacokinetics of relevant substrates should be studied further.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Shimada, T., Yamazaki, H., Mimura, M., Inui, Y., & Guengerich, F. P. (1994) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/s0022-3565(25)22379-5 · Cited by 2,785
Populations and genetic polymorphisms*
WEBER, W. (1999) · Molecular Diagnosis · doi:10.1016/s1084-8592(99)80006-x · Cited by 98
Cited by
Polymorphisms in human MDR1 (P-glycoprotein): recent advances and clinical relevance
Marzolini, C. (2004) · Clinical Pharmacology & Therapeutics · doi:10.1016/j.clpt.2003.09.012 · Cited by 895
Pharmacogenetics, Drug-Metabolizing Enzymes, and Clinical Practice
Gardiner, S. J., & Begg, E. J. (2006) · Pharmacological Reviews · doi:10.1124/pr.58.3.6 · Cited by 406
Metadata
- Authors
- Goh, B.-C., Lee, S.-C., Wang, L.-Z., Fan, L., Guo, J.-Y., Lamba, J., Schuetz, E., Lim, R., Lim, H.-L., Ong, A.-B., & Lee, H.-S.
- Venue
- Journal of Clinical Oncology
- Published
- 2002-09-01
- Volume
- 20
- Issue
- 17
- Pages
- 3683-3690
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2169984670
- Cited by
- 270
- References
- 2
- FWCI
- 17.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Explaining Interindividual Variability of Docetaxel Pharmacokinetics and Pharmacodynamics in Asians Through Phenotyping and Genotyping Strategies. https://app.cochat.ai/papers/10.1200/jco.2002.01.025
- The paper
- Goh, B.-C., Lee, S.-C., Wang, L.-Z., Fan, L., Guo, J.-Y., Lamba, J., Schuetz, E., Lim, R., Lim, H.-L., Ong, A.-B., & Lee, H.-S. (2002). Explaining Interindividual Variability of Docetaxel Pharmacokinetics and Pharmacodynamics in Asians Through Phenotyping and Genotyping Strategies. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2002.01.025
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.