Journal article
Modeling antitumor activity in xenograft tumor treatment
Biometrical journal, v 47(3), pp 358-368
Jun 2005
PMID: 16053259
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
To analyze responses of solid tumors to treatment with antitumor therapy, we applied nonparametric mixed-effects models to investigate tumor volumes measured over a fixed. The population and individual response functions were approximated by penalized splines. Linear mixed-effects modeling was applied in the implementation of the estimation. We applied the approach to an analysis of a real xenograft study of a new antitumor agent, temozolomide, combined with irinotecan. The model fitted the data very well. We conducted a sensitivity analysis to determine the effect of informative dropout. We also propose an intuitive approach to a comparison of the antitumor effects of two different treatments. Biological interpretations and clinical implications are discussed.
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Details
- Title
- Modeling antitumor activity in xenograft tumor treatment
- Creators
- Hua Liang - St. Jude Children's Research Hospital
- Publication Details
- Biometrical journal, v 47(3), pp 358-368
- Publisher
- Wiley
- Grant note
- AI62247-01 / NIAID NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000230361800014
- Scopus ID
- 2-s2.0-22144495800
- Other Identifier
- 991019320709904721
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- Web of Science research areas
- Mathematical & Computational Biology
- Statistics & Probability