Methods for Identifying, Diagnosing, and Predicting Survival of Lymphomas

Technology #ua09-102

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Researchers
Thomas Miller
Research Scientist/Professor, Cancer Center Division/Medicine
Thomas Grogan
Professor, Pathology
Lisa Rimsza
Professor, Pathology
Managed By
Rakhi Gibbons
Asst. Director, Life Sciences (520) 626-6695

Gene expression data provides a basis for more accurate identification and diagnosis of lymphoproliferative disorders. In addition, gene expression data can be used to develop more accurate predictors of survival. The present invention discloses methods for identifying, diagnosing, and predicting survival in a lymphoma or lymphoproliferative disorder on the basis of gene expression patterns. The invention discloses a novel microarray, the Lymph Dx microarray, for obtaining gene expression data from a lymphoma sample. The invention also discloses a variety of methods for utilizing lymphoma gene expression data to determine the identity of a particular lymphoma and to predict survival in a subject diagnosed with a particular lymphoma. This information will be useful in developing the therapeutic approach to be used with a particular subject.