Methods for Identifying, Diagnosing, and Predicting Survival of Lymphomas
Description of Invention:
Human lymphomas and leukemias are a diverse set of cancers. Many of these cancers, while expressing a similar phenotype between different individuals, have a diverse underlying genetic basis for the disease. This diverse genetic basis has implications on the effective treatment of the various phenotypes of lymphoma. For example, a drug that was effective against one individual's phenotype of lymphoma will not be effective against a similar lymphoma in another individual. An invention that helps clinicians classify a lymphoproliferative disorder would provide the basis for a "pharmacogenomic" method for treating such cancers.
The present invention discloses a novel microarray for obtaining gene expression profile data to be used in identifying lymphoma types and predicting survival in a lymphoma patient. The present invention further discloses a variety of methods for analyzing gene expression data obtained from a lymphoma sample, and specific algorithms for predicting survival and clinical outcome in a subject suffering from a lymphoma. The gene expression profile data set was established using a human genome gene chip set measuring the expression of over 27,000 genes in more than 500 lymphoproliferative tumor samples collected from patients at numerous healthcare institutions worldwide.
This invention could be developed into a useful pharmacogenomic, diagnostic product. The number of genes required for an accurate prognosis is reduced almost ten-fold from the human genome gene chip, allowing for lower density microarray technology and alternative gene expression measuring platforms. The choice of the gene set in this invention is optimized to provide an all in one method for the diagnosis of all lymphomas.
Licensing Status:
In addition to licensing, the technology is available for further development through collaborative research with the inventors via a Cooperative Research and Development Agreement (CRADA).
Portfolios: Cancer
Cancer -Diagnostics-In Vitro-DNA Based Cancer -Diagnostics Cancer -Research Materials
For Additional Information Please Contact: John Stansberry Ph.D.
NIH Office of Technology Transfer
6011 Executive Boulevard, Suite 325
Rockville, MD 20852-3804
Phone: (301)435-5236
Email: stansbej@mail.nih.gov
Fax: (301) 402-0220
