Yuan Shengyue, Sun Qingrong, Chen Yao, Liao Jun
School of Science, China Pharmaceutical University, Nanjing, China.
Drug Metab Lett. 2017;11(2):93-101. doi: 10.2174/1872312811666170815160751.
Tamoxifen is widely used in the therapy for breast cancer and has three major metabolites, N-desmethyltamoxifen, 4-hydroxytamoxifen, and endoxifen. Endoxifen has played a major role in the inhibition of tumor growth of breast cancer and the tumor growth is related to endoxifen concentration.
The aim of this study was to develop a pharmacokinetic-pharmacodynamic model to predict the distribution of tamoxifen and endoxifen quantitatively, and to discover the anti-tumor effect patterns of tamoxifen and endoxifen.
The pharmacokinetic-pharmacodynamic model was established by integrating a four compartments pharmacokinetics model and a pharmacodynamic model, the first one include central compartment and peripheral compartment both of which contain tamoxifen and endoxifen. The parameters of the model were calculated by the values of plasma concentrations and the tumor growth data before and after the administration of tamoxifen.
The transport rate k42 (6.0003) of endoxifen from the peripheral compartment to the central compartment and the metabolism rate k34 (0.0031) from tamoxifen to endoxifen in the peripheral compartment were proven to be significant, which showed that tamoxifen and endoxifen are mainly distributed in the central compartment. The model provided reasonable predictions of tumor growth, which was inhibited after the administration and varies with the concentration of endoxifen.
We established a PK-PD model of tamoxifen and endoxifen to predict the tumor growth. The parameters of the pharmacodynamic model, which characterized the tumor growth, revealed the patterns of tamoxifen's anti-tumor functions. The PK-PD model successfully provided illustration for the pharmacokinetics of tamoxifen and endoxifen, and predicted the inhibition effect of endoxifen on the tumor growth.
他莫昔芬广泛应用于乳腺癌治疗,有三种主要代谢产物,即N-去甲基他莫昔芬、4-羟基他莫昔芬和内昔芬。内昔芬在抑制乳腺癌肿瘤生长中起主要作用,且肿瘤生长与内昔芬浓度相关。
本研究旨在建立药代动力学-药效学模型,以定量预测他莫昔芬和内昔芬的分布,并发现他莫昔芬和内昔芬的抗肿瘤作用模式。
通过整合四室药代动力学模型和药效学模型建立药代动力学-药效学模型,前者包括中央室和外周室,二者均含有他莫昔芬和内昔芬。模型参数通过他莫昔芬给药前后的血浆浓度值和肿瘤生长数据计算得出。
证实内昔芬从外周室到中央室的转运速率k42(6.0003)以及在外周室内从他莫昔芬到内昔芬的代谢速率k34(0.0031)具有显著性,这表明他莫昔芬和内昔芬主要分布在中央室。该模型对肿瘤生长提供了合理预测,给药后肿瘤生长受到抑制,并随内昔芬浓度而变化。
我们建立了他莫昔芬和内昔芬的药代动力学-药效学模型以预测肿瘤生长。表征肿瘤生长的药效学模型参数揭示了他莫昔芬的抗肿瘤作用模式。该药代动力学-药效学模型成功地为他莫昔芬和内昔芬的药代动力学提供了阐释,并预测了内昔芬对肿瘤生长的抑制作用。