Computational model, method, and system for kinetically-tailoring multi-drug chemotherapy for individuals

• US 20030144798A1
• Filed: 01/07/2003
• Published: 07/31/2003
• Est. Priority Date: 01/07/2002
• Status: Active Grant

• Current Assignee: Lawrence Livermore National Security LLC (Government of the United States of America)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Gardner, Shea Nicole
• Granted Patent: US 7,286,970 B2
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method and system for tailoring treatment regimens to individual patients with diseased cells exhibiting evolution of resistance to such treatments. A mathematical model is provided which models rates of population change of proliferating and quiescent diseased cells using cell kinetics and evolution of resistance of the diseased cells, and pharmacokinetic and pharmacodynamic models. Cell kinetic parameters are obtained from an individual patient and applied to the mathematical model to solve for a plurality of treatment regimens, each having a quantitative efficacy value associated therewith. A treatment regimen may then be selected from the plurlaity of treatment options based on the efficacy value.

Claims

1. A method for tailoring treatment regimens to individual patients with diseased cells exhibiting evolution of resistance to such treatments, said method comprising the steps of:

providing a mathematical model which models rates of population change of proliferating and quiescent diseased cells using cell kinetics and evolution of resistance of the diseased cells, and pharmacokinetic and pharmacodynamic models;

obtaining cell kinetic parameters from an individual patient;

applying the cell kinetic parameters to the mathematical model to solve for a plurality of treatment regimens, each having a quantitative efficacy value associated therewith; and

selecting from one of the treatment regimens based on the efficacy value.

2. The method of claim 1,

wherein the mathematical model further incorporates multi-drug combinations selected from the group consisting of a phase specific cytotoxic drug, a phase non-specific cytotoxic drug, and a cytostatic drug, for chemotherapy treatment.

3. The method of claim 1,

wherein the mathematical model further incorporates evolution of cell kinetics.

4. The method of claim 1,

wherein the evolution of cell kinetics includes at least one of an apoptotic index and a proliferation index, associated with apoptotic rates and cell division rates, respectively.

5. The method of claim 1,

wherein the mathematical model further assumes a Gompertzian curve for modeling tumor growth.

6. The method of claim 1,

wherein the mathematical model further incorporates radiation therapy.

7. A system for tailoring optimal cancer treatments to individual patients based on tumor cell kinetics, said system comprising:

a mathematical model for modeling rates of population change of proliferating and quiescent tumor cells using cell kinetics and evolution of resistance of the tumor cells, and pharmacokinetic and pharmacodynamic models;

an input module for receving cell kinetic data obtained from an individual patient;

a system processor for applying the cell kinetic data to the mathematical model to solve for a plurality of treatment regimens, each having a quantitative efficacy value associated therewith; and

an output module for presenting the plurality of treatment regimens for selection based on the efficacy value.

8. A computer program product comprising:

a computer-readable medium having a computer-readable set of instructions embodied in said medium for enabling a computer system to aid in tailoring optimal cancer treatments to individual patients based on tumor cell kinetics, the set of instructions comprising;

a system model code for causing the computer system to mathematically model rates of population change of proliferating and quiescent diseased cells using cell kinetics and evolution of resistance of the diseased cells, and pharmacokinetic and pharmacodynamic models;

an input code for causing the computer system to receive tumor cell kinetic parameters obtained from the individual patient;

a processing code for causing the computer system to process the mathematical model based on the tumor cell kinetic parameters to produce a plurality of treatment regimens, each having a quantitative efficacy value associated therewith; and

an output code for causing the computer system to present the plurality of treatment regimens for selection based on the efficacy value.