Method of overcoming therapeutic limitations of nonuniform distribution of radiopharmaceuticals and chemotherapy drugs
First Claim
1. A method for predicting the response of an individual patient'"'"'s cells to therapeutic intervention for a condition from which said patient is suffering, said method comprising the steps of:
- (a) exposing populations of said cells to increasing concentrations of a candidate therapeutic agent for said condition;
(b) measuring the incorporation of said therapeutic agent in said populations on a cell-by-cell basis;
(c) plotting the number of cells versus the amount of incorporated therapeutic agent, to obtain distribution plots for said populations;
(d) fitting said distribution plots to a probability density function to obtain a distribution curve and the standard deviation, σ
, for each population; and
(e) identifying the optimal concentration of said therapeutic agent for said patient by identifying changes in slope of a plot of σ
as a function of concentration of said therapeutic agent.
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Abstract
Disclosed is a method for predicting the optimal amounts of radiopharmaceutical and/or chemotherapy agents to administer to a patient, by determining the level of saturation of the therapeutic agents in the patient'"'"'s cells. The method comprises measuring cellular incorporation of the candidate therapeutic agents in a target cell population on a cell-by-cell basis. The method is able to identify an optimal cocktail of therapeutic agents for treatment of a disease. A method of high-throughput drug discovery incorporating this method, and a 2-stage targeting method of treating a disease using this method are also disclosed.
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25 Claims
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1. A method for predicting the response of an individual patient'"'"'s cells to therapeutic intervention for a condition from which said patient is suffering, said method comprising the steps of:
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(a) exposing populations of said cells to increasing concentrations of a candidate therapeutic agent for said condition; (b) measuring the incorporation of said therapeutic agent in said populations on a cell-by-cell basis; (c) plotting the number of cells versus the amount of incorporated therapeutic agent, to obtain distribution plots for said populations; (d) fitting said distribution plots to a probability density function to obtain a distribution curve and the standard deviation, σ
, for each population; and(e) identifying the optimal concentration of said therapeutic agent for said patient by identifying changes in slope of a plot of σ
as a function of concentration of said therapeutic agent. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 22, 23, 24)
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16. A method for predicting the response of an individual cancer patient'"'"'s cancer cells to therapeutic intervention comprising the steps of:
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(a) exposing populations of said cancer cells to increasing, concentrations of a candidate therapeutic agent for said cancer; (b) measuring by fluorescence spectroscopy the incorporation of said therapeutic agent in said populations on a cell-by-cell basis using a flow cytometer, to provide net mean fluorescence intensity (MFI); (c) plotting the number of cells versus the net MFI, to obtain a distribution plot for said population; (d) fitting said distribution plot to a log normal probability density function to obtain a log normal distribution curve and the standard deviation, σ
, for each population;and (e) identifying the optimal concentration of said therapeutic agent for said cancer patient from changes in slope of a plot of σ
as a function of concentration of said therapeutic agent. - View Dependent Claims (17, 18, 19, 20, 21, 25)
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Specification