Prediction of clinical outcome using gene expression profiling and artificial neural networks for patients with neuroblastoma
AssigneeThe United States of America, as represented by the Secretary, Department of Health and Human Services
InventorsJaved Khan, Jun S. Wei, Braden T. Greer
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Abstract
A method of predicting the outcome of a patient with neuroblastoma that includes obtaining experimental data on gene selections. The gene selection functions to predict the outcome of a patient with neuroblastoma when the expression of that gene selection is compared to the identical selection from a non-neuroblastoma cell or a different type of neuroblastoma cell. The invention also includes a method of targeting at least one product of a gene that includes administration of a therapeutic agent. The invention also includes the use of a gene selection for predicting the outcome of patient with neuroblastoma.
Claims24
A method of predicting the outcome of a patient having neuroblastoma comprising detecting an increase in expression of at least one gene or group of genes selected from the group consisting of PRSS3;
- PRSS3 and DLK1;
- PRSS3 and SLIT3;
- and PRSS3, DLK1, and SLIT3, in a neuroblastoma cell from the patient, wherein an increase in expression of at least one of the genes is indicative of poor outcome of the subject.
Dependencies are inferred from the claim text.