Methods for identifying, diagnosing, and predicting survival of lymphomas

US10697975B2 · kind B2 · utility

Assignees

• The United States of America, as represented by the Secretary, Department of Health and Human Services · US
• BOARD OF REGENTS OF THE UNIVERSITY OF NEBRASKA · US
• University of Rochester · US
• Arizona Board of Regents on Behalf of the University of Arizona · US
• UNIVERSITAT DE BARCELONA · ES
• Fundacio Clinic · ES
• HOSPITAL CLÍNIC DE BARCELONA · ES
• Julius-Maximilians-Universitat Wurzburg · DE
• British Columbia Cancer Agency Branch · CA
• Oslo University Hospital HF · NO
• Queen Mary & Westfield College, University of London · GB

Inventors

• Louis M. Staudt · Silver Spring, US
• George W. Wright · Rockville, US
• Sandeep Dave · Bethel, US
• Bruce Tan · Chicago, US
• John I. Powell · Urbana, US
• Wyndham Wilson · Washington, US
• Elaine S. Jaffe · Great Falls, US
• Wing C. Chan · Pasadena, US
• Timothy C. Greiner · Gilliatt, US
• Dennis Weisenburger · Glendora, US
• James Armitage · Omaha, US
• Kai Fu · Omaha, US
• Richard I. Fisher · Pittsford, US
• Lisa M. Rimsza · Tucson, US
• Thomas Miller · Houston, US
• Thomas Grogan · Tucson, US
• Elias Campo Guerri · Barcelona, ES
• Silvia M. Bea · Sabadell, ES
• Itziar Salaverria · Barcelona, ES
• Armando Lopez-Guillermo · Barcelona, ES
• Emilio Montserrat · Barcelona, ES
• Victor Moreno · Barcelona, ES
• Andreas Zettl · Würzburg, DE
• German Ott · Bietigheim-Bissingen, DE
• Hans-Konrad Muller-Hermelink · Würzburg, DE
• Andreas Rosenwald · Würzburg, DE
• Julie Vose · Omaha, US
• Randy D. Gascoyne · North Vancouver, CA
• Joseph M. Connors · Vancouver, CA
• Erlend B. Smeland · Oslo, NO

Key dates

• Filing date: Jun 22, 2017
• Grant date: Jun 30, 2020
• Expiry date: Mar 30, 2038

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02A90/10
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

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.