US 2011/0238322 A1Published application

Methods of simulating chemotherapy for a patient

AssigneePrecision Therapeutics, Inc.

InventorNan Song

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Abstract

The present invention provides methods for predicting or modeling a chemotherapy outcome for a given patient The method produces chemoresponse data, and presents the chemoresponse data in a clinically meaningful context such that the data can be meaningfully interpreted and evaluated in a clinical context The method of the invention involves correlating in vitro chemoresponse results for a particular patient with historical treatment outcomes Where a population of historical outcomes are matched to the patient by one or more clinical variables and such outcomes are matched to a potential treatment by the in vitro efficacy of the agent received, a meaningful simulation of the potential treatment for the patient can be constructed Simulations, such as survival curves, for a plurality of potential treatments may be generated and compared to contrast the estimated outcomes for several potential treatments, thereby providing the information desirable to design an individualized treatment regimen.

Claims25

Dependent claims

A method for estimating chemotherapy outcomes for a cancer patient, comprising:

(A) conducting chemoresponse testing with a panel of chemotherapeutic agents on cultured tumor cells from the patient;
(B) grading the in vitro efficacy for each agent in the panel, wherein a first agent has a first in vitro efficacy against the patient's cells, and a second agent has a second in vitro efficacy against the patient's cells;
(C) estimating an outcome of treatment with said first agent, and estimating an outcome of treatment with said second agent by:
(1) selecting historical outcomes from a database in which a chemotherapeutic agent was administered for treatment after that agent or agent class demonstrated said first in vitro efficacy,
(2) selecting historical outcomes from a database in which a chemotherapeutic agent was administered for treatment after that agent or agent class demonstrated said second in vitro efficacy;
(3) modeling the historical outcomes for said first in vitro efficacy to prepare a first modeled outcome, and modeling the historical outcomes for said second in vitro efficacy to prepare a second modeled outcome;
and
(4) comparing the first modeled outcome and the second modeled outcome to thereby estimate chemotherapy outcomes for said first agent and said second agent for said cancer patient.

5 more elements

Dependencies are inferred from the claim text.

Facts

Application: 13/127,337Filed 3 Nov 2009
Priority: 3 Nov 2008
Published: 29 Sep 2011
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G16H 50/50
ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or…: for…
G01N 33/5011
For testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics: for testing antineoplastic activity
G01N 33/502
For testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics: for testing non-proliferative effects
G01N 33/575
Immunoassay; Biospecific binding assay; Materials therefor: for cancer