The DOI matches its Crossref record.
Variability in human cytochrome P450 paclitaxel metabolism.
Abstract
Formation of 6 alpha-hydroxypaclitaxel has been described as the primary biotransformation pathway for paclitaxel in vitro and in vivo, with additional formation of two other "minor" metabolites. Using a large group (n = 49) of human liver microsomes, and P450s heterologously expressed in cell lines, our aims were to elucidate the P450s responsible for and investigate variability in paclitaxel metabolite formation. Four metabolites of paclitaxel (6 alpha-hydroxypaclitaxel, metabolites B, C and A) were formed in vitro, via CYP2C8, 3A4, 3A4 and both 2C8 and 3A4, respectively. Although 6 alpha-hydroxypaclitaxel was predominant in the majority of livers, metabolites B and C (formed by CYP3A4) were predominant in 11/49 and 2/49 livers, respectively. Predominance of metabolite B over 6 alpha-hydroxypaclitaxel was more likely in liver microsomes from donors known to be exposed to phenobarbital (P = .009), and tended to be more likely in diseased vs. normal livers (P = .047). Formation rates for 6 alpha-hydroxypaclitaxel, A, B, and C were lower in diseased liver vs. normal liver (P < .001). Rates of formation of metabolites B and C were highly correlated with each other (r2 = .91; P < .001) and with midazolam 4-hydroxylation (r2 = .87 & 0.86, respectively; P < .001). Inhibitor experiments suggest that typical CYP3A substrates/inhibitors (e.g., cyclosporin, epipodophyllotoxins) may significantly interact with paclitaxel in vivo. In a single patient in whom plasma samples were measured on two occasions, metabolite A (the dihydroxylate) was predominant, and systemic clearance of paclitaxel was lower in a course administered 1 day vs. 6 wk after a course of fluconazole therapy. We report that 6 alpha-hydroxypaclitaxel, formed via CYP2C8, is not the predominant paclitaxel metabolite in all individuals, and that CYP3A4 catalytic activity is important to overall paclitaxel metabolism in humans.
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
Cited by
Dai, D., Zeldin, D. C., Blaisdell, J. A., Chanas, B., Coulter, S. J., Ghanayem, B. I., & Goldstein, J. A. (2001) · Pharmacogenetics · doi:10.1097/00008571-200110000-00006 · Cited by 494
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
Li, X.-Q., Björkman, A., Andersson, T. B., Ridderström, M., & Masimirembwa, C. M. (2002) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.300.2.399 · Cited by 288
Scott, S. A., Sangkuhl, K., Shuldiner, A. R., Hulot, J.-S., Thorn, C. F., Altman, R. B., & Klein, T. E. (2012) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e32834d4962 · Cited by 261
Cai, L., Xu, G., Shi, C., Guo, D., Wang, X., & Luo, J. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2014.10.044 · Cited by 151
Metadata
- Authors
- Sonnichsen, D. S., Liu, Q., Schuetz, E. G., Schuetz, J. D., Pappo, A., & Relling, M. V.
- Venue
- The Journal of Pharmacology and Experimental Therapeutics
- Publisher
- Elsevier BV
- Published
- 1995-11
- Volume
- 275
- Issue
- 2
- Pages
- 566-575
- ISSN
- 0022-3565 (ISSN-L)
- OpenAlex
- W2133536147
- Cited by
- 186
- References
- 0
- FWCI
- 6.38
- 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: Variability in human cytochrome P450 paclitaxel metabolism. https://app.cochat.ai/papers/10.1016/s0022-3565(25)12102-2
- The paper
- Sonnichsen, D. S., Liu, Q., Schuetz, E. G., Schuetz, J. D., Pappo, A., & Relling, M. V. (1995). Variability in human cytochrome P450 paclitaxel metabolism. The Journal of Pharmacology and Experimental Therapeutics. https://doi.org/10.1016/s0022-3565(25)12102-2
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.