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Blood, 1 January 2005, Vol. 105, No. 1, pp. 301-307.
Prepublished online as a Blood First Edition Paper on September 2, 2004; DOI 10.1182/blood-2004-06-2298.
Previous Article | Next Article 
Submitted June 18, 2004
Accepted August 10, 2004
Gene expression profiling in Follicular Lymphoma to assess clinical aggressiveness and to guide the choice of treatment
Annuska M Glas, Marie J Kersten, Leonie J Delahaye, Anke T Witteveen, Robby E Kibbelaar, Arno Velds, Lodewyk F Wessels, Peter Joosten, Ron M Kerkhoven, Rene Bernards, Johan H van Krieken, Philip M Kluin, Laura J van 't Veer, and Daphne de Jong*
Division of Diagnostic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
Division of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Academic Medical Center, Leeuwarden, The Netherlands
Central Laboratory for Public Health Friesland, Leeuwarden, The Netherlands
Division of Central Microarray Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
Division of Diagnostic Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Delft University of Technology, Delft, The Netherlands
Friesland Medical Center Leeuwarden, Leeuwarden, The Netherlands
University Medical Center Nijmegen, Nijmegen, The Netherlands
Groningen University Medical Center, Groningen, The Netherlands
* Corresponding author; email: d.d.jong{at}nki.nl.
Follicular lymphoma (FL) is a disease characterized by a long clinical course marked by frequent relapses that vary in clinical aggressiveness over time. Therefore, the main dilemma at each relapse is the choice for the most effective treatment for optimal disease control and failure-free survival while at the same time avoiding over-treatment and harmful side effects. The selection for more aggressive treatment is currently based on histological grading and clinical criteria; however, in up to 30% of all cases these methods prove to be insufficient. Using supervised classification on a training set of paired samples from patients who experienced either an indolent or aggressive disease course, a gene-expression profile of 81 genes was established that could, with an accuracy of 100%, distinguish low-grade from high-grade disease. This profile accurately classified 93% of the FL samples in an independent validation set. Most importantly, in a third series of FL, cases where histological grading was ambiguous, precluding meaningful morphological guidance, the 81-gene profile shows a classification accuracy of 94%. The FL-stratification profile is a more reliable marker of clinical behavior than the currently used histological grading and clinical criteria, and may provide an important alternative to guide the choice of therapy in FL patients both at presentation and at relapse.

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