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Related Experiment Video

Updated: Jun 12, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

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

Tiffany A Traina¹, Ute Dugan, Brian Higgins

¹Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA. trainat@mskcc.org

|June 4, 2010

Summary

A new mathematical model optimizes anticancer drug schedules. This approach identified a superior dosing regimen for capecitabine in preclinical models, improving tumor response and survival.

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Published on: October 5, 2017

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Last Updated: Jun 12, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

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Published on: February 6, 2019

Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice

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Published on: October 5, 2017

Area of Science:

Pharmacokinetics and Pharmacodynamics
Mathematical Modeling in Oncology
Preclinical Cancer Research

Background:

Optimizing anticancer drug development requires improved benefit-to-toxicity ratios.
Novel approaches are needed for generating and analyzing preclinical dose-scheduling data.

Purpose of the Study:

To develop and validate a novel mathematical modeling approach for optimizing anticancer drug dosing schedules.
To predict an improved dosing schedule for capecitabine in preclinical cancer models.

Main Methods:

Applied Norton-Simon growth kinetic modeling to tumor volume data from breast cancer xenografts.
Utilized data from capecitabine treatment at a conventional 14-day on/7-day off schedule.
Predicted optimal dosing based on mathematical modeling.

Main Results:

The Norton-Simon model predicted a 7-day on/7-day off (7-7) schedule as superior to the conventional 14-7 schedule.
Preclinical studies confirmed the 7-7 schedule allowed higher daily doses safely.
The biweekly capecitabine schedule demonstrated improved tumor response and prolonged animal survival.

Conclusions:

Norton-Simon modeling accurately predicted an improved capecitabine dosing schedule in xenograft models.
This modeling approach enhances preclinical data analysis for drug development.
The method shows promise for clinical application in optimizing cancer drug regimens.