Literature DB >> 20519801

Optimizing chemotherapy dose and schedule by Norton-Simon mathematical modeling.

Tiffany A Traina1, Ute Dugan, Brian Higgins, Kenneth Kolinsky, Maria Theodoulou, Clifford A Hudis, Larry Norton.   

Abstract

BACKGROUND: to hasten and improve anticancer drug development, we created a novel approach to generating and analyzing preclinical dose-scheduling data so as to optimize benefit-to-toxicity ratios.
METHODS: we applied mathematical methods based upon Norton-Simon growth kinetic modeling to tumor-volume data from breast cancer xenografts treated with capecitabine (Xeloda®, Roche) at the conventional schedule of 14 days of treatment followed by a 7-day rest (14-7).
RESULTS: the model predicted that 7 days of treatment followed by a 7-day rest (7-7) would be superior. Subsequent preclinical studies demonstrated that this biweekly capecitabine schedule allowed for safe delivery of higher daily doses, improved tumor response, and prolonged animal survival.
CONCLUSIONS: we demonstrated that the application of Norton-Simon modeling to the design and analysis of preclinical data predicts an improved capecitabine dosing schedule in xenograft models. This method warrants further investigation and application in clinical drug development.

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Year:  2010        PMID: 20519801      PMCID: PMC3228251          DOI: 10.3233/BD-2009-0290

Source DB:  PubMed          Journal:  Breast Dis        ISSN: 0888-6008


  36 in total

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Journal:  Nature       Date:  1976-12-09       Impact factor: 49.962

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Authors:  H E Skipper
Journal:  Cancer       Date:  1971-12       Impact factor: 6.860

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Authors:  L Norton; R Simon
Journal:  Cancer Treat Rep       Date:  1977-10

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Authors:  L Norton; R Simon
Journal:  Cancer Treat Rep       Date:  1986-01

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Authors:  L Norton; R Simon
Journal:  J Natl Cancer Inst       Date:  1977-06       Impact factor: 13.506

7.  Multicenter phase II study of oral capecitabine (Xeloda(")) in patients with metastatic breast cancer relapsing after treatment with a taxane-containing therapy.

Authors:  P Reichardt; G Von Minckwitz; P C Thuss-Patience; W Jonat; H Kölbl; F Jänicke; D G Kieback; W Kuhn; A E Schindler; S Mohrmann; M Kaufmann; H J Lück
Journal:  Ann Oncol       Date:  2003-08       Impact factor: 32.976

8.  A stochastic numerical model of breast cancer growth that simulates clinical data.

Authors:  J F Speer; V E Petrosky; M W Retsky; R H Wardwell
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9.  Failure of higher-dose paclitaxel to improve outcome in patients with metastatic breast cancer: cancer and leukemia group B trial 9342.

Authors:  Eric P Winer; Donald A Berry; Susan Woolf; David Duggan; Alice Kornblith; Lyndsay N Harris; Richard A Michaelson; Jeffrey A Kirshner; Gini F Fleming; Michael C Perry; Mark L Graham; Stewart A Sharp; Roger Keresztes; I Craig Henderson; Clifford Hudis; Hyman Muss; Larry Norton
Journal:  J Clin Oncol       Date:  2004-06-01       Impact factor: 44.544

10.  A simulation model of the natural history of human breast cancer.

Authors:  S Koscielny; M Tubiana; A J Valleron
Journal:  Br J Cancer       Date:  1985-10       Impact factor: 7.640

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4.  Pharmacokinetic/pharmacodynamic modeling of combination-chemotherapy for lung cancer.

Authors:  Louis T Curtis; Victor H van Berkel; Hermann B Frieboes
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Review 5.  Endocrine resistance in breast cancer--An overview and update.

Authors:  Robert Clarke; John J Tyson; J Michael Dixon
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6.  Chemotherapeutic Dose Scheduling Based on Tumor Growth Rates Provides a Case for Low-Dose Metronomic High-Entropy Therapies.

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Review 7.  Advanced Ovarian Cancer: Primary or Interval Debulking? Five Categories of Patients in View of the Results of Randomized Trials and Tumor Biology: Primary Debulking Surgery and Interval Debulking Surgery for Advanced Ovarian Cancer.

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9.  Evaluating treatment of osteoporosis using particle swarm on a bone remodelling mathematical model.

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10.  Comparison of three a-priori models in the prediction of serum lithium concentration.

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