Network model to predict cancer drug resistance caused by variants
OwnerMohsin Saleet Jafriinventor
Life of this patent
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Abstract
The present disclosure generally relates to a system for prediction of drug resistance, caused by genetic variations of proteins, in cancer patients who are candidates for chemotherapy treatment. More specifically, the disclosure provides methods that combine proteins involved in cancer drug resistance into a set of signaling network models to predict cancer drug resistance based on single and multiple protein variants that can be found in a patient's tumor sample. Said method allows a physician to predict whether a patient is likely to respond to treatment with a given chemotherapeutic reagent.
Claims20
A method for predicting the response of a cancer patient, based on the presence of one or more variant proteins associated with their cancer, to a chemotherapeutic drug treatment of interest, the method comprising:
- (a) variant prediction;
- (b) creating a minimum variable product (MVP) that allows a user to evaluate the likely efficacy of a chemotherapy for the cancer patient based on the presence of the one or more variant proteins in the cancer patient;
- and
- (c) developing a prototype that allows the user to select the one or more variant proteins associated with the cancer and a chemotherapeutic drug treatment of interest.
A system for predicting the response of a cancer patient, based on the presence of one or more variant proteins associated with their cancer, to a chemotherapeutic drug treatment of interest, the system comprising:
- at least one processor;
- and
- at least one memory having stored thereon instructions which, when executed by the at least one processor, cause the system at least to perform:
- (a) variant prediction;
- (b) creating a minimum variable product (MVP) that allows a user to evaluate the likely efficacy of a chemotherapy for the cancer patient based on the presence of the one or more variant proteins in the cancer patient;
- and
- (c) developing a prototype that allows the user to select the one or more variant proteins associated with the cancer and a chemotherapeutic drug treatment of interest.
A computer-readable medium having stored thereon instructions for predicting the response of a cancer patient, based on the presence of one or more variant proteins associated with their cancer, to a chemotherapeutic drug treatment of interest, the instructions, when executed by at least one processor of a system, cause the system to perform a method comprising:
- (a) variant prediction;
- (b) creating a minimum variable product (MVP) that allows a user to evaluate the likely efficacy of a chemotherapy for the cancer patient based on the presence of the one or more variant proteins in the cancer patient;
- and
- (c) developing a prototype that allows the user to select the one or more variant proteins associated with the cancer and a chemotherapeutic drug treatment of interest.
Dependencies are inferred from the claim text.