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Population pharmacokinetic and pharmacodynamic modeling of capecitabine and its metabolites in breast cancer patients.
Author: DalencFlorence, Etienne-GrimaldiMarie-Christine, FerreroJean-Marc, LunarNastja, MacairePauline, MilanoGérard, PivotXavier, RoyerBernard, SchmittAntonin, ThomasFabienne
Original Abstract of the Article :
PURPOSE: The present study was performed to examine relationships between systemic exposure of capecitabine metabolites (5-FU, 5'-DFCR and 5'-DFUR) and toxicity or clinical response in patients with metastatic breast cancer. METHODS: A population pharmacokinetic model for capecitabine and its three...See full text at original site
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引用元:
https://doi.org/10.1007/s00280-020-04208-8
データ提供:米国国立医学図書館(NLM)
Population Pharmacokinetic and Pharmacodynamic Modeling of Capecitabine and Its Metabolites
This study aimed to understand the relationships between systemic exposure of capecitabine metabolites and toxicity or clinical response in patients with metastatic breast cancer. Researchers developed a population pharmacokinetic model for capecitabine and its three metabolites (5-FU, 5'-DFCR, and 5'-DFUR) to analyze the pharmacokinetic and pharmacodynamic characteristics of capecitabine treatment.
Capecitabine Pharmacokinetics: A Complex Process
The study found that the pharmacokinetics of capecitabine and its metabolites are highly complex, involving a complex absorption process and interactions with various enzymes. The model identified statistically significant covariates, including cytidine deaminase, alkaline phosphatase, and dihydrouracilemia, which influenced the pharmacokinetics of capecitabine and its metabolites. It’s like unraveling the intricate network of pathways involved in the metabolism of capecitabine, revealing a complex desert ecosystem of enzymes and metabolic processes.
Optimizing Capecitabine Treatment Regimen
The study's findings provide valuable insights into the pharmacokinetics and pharmacodynamics of capecitabine and its metabolites, which can be used to optimize treatment regimens and personalize therapy for patients with metastatic breast cancer. The model can help predict individual responses to capecitabine, guide dosage adjustments, and potentially minimize toxicity. It’s like using a carefully crafted map to navigate the intricate landscape of capecitabine therapy, ensuring a safe and effective journey for patients.
Dr.Camel's Conclusion
This research provides a detailed pharmacokinetic and pharmacodynamic model for capecitabine and its metabolites, revealing the intricate interplay of enzymes and metabolic processes involved in its therapeutic action. The model can be used to personalize therapy, optimize dosing, and minimize toxicity, potentially improving the effectiveness of capecitabine treatment for metastatic breast cancer. It’s like deciphering the hidden language of capecitabine metabolism, leading to a more personalized and effective approach to treatment.
Date :
- Date Completed 2023-03-15
- Date Revised 2023-03-15
Further Info :
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