Prediction of drug distribution in subcutaneous xenografts of human tumor cell lines and healthy tissues in mouse: application of the tissue composition-based model to antineoplastic drugs.

@article{Poulin2015PredictionOD,
  title={Prediction of drug distribution in subcutaneous xenografts of human tumor cell lines and healthy tissues in mouse: application of the tissue composition-based model to antineoplastic drugs.},
  author={Phillippe Poulin and Yung-Hsiang Chen and Xiao Ding and Stephen Eric Gould and Cornelis E.C.A. Hop and Kirsten Messick and Jason Oeh and Bianca M. Liederer},
  journal={Journal of pharmaceutical sciences},
  year={2015},
  volume={104 4},
  pages={
          1508-21
        }
}
Advanced tissue composition-based models can predict the tissue-plasma partition coefficient (Kp ) values of drugs under in vivo conditions on the basis of in vitro and physiological input data. These models, however, focus on healthy tissues and do not incorporate data from tumors. The objective of this study was to apply a tissue composition-based model to six marketed antineoplastic drugs (docetaxel, DOC; doxorubicin, DOX; gemcitabine, GEM; methotrexate, MTX; topotecan, TOP; and fluorouracil… CONTINUE READING
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