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Blood, 1 March 2007, Vol. 109, No. 5, pp. 2156-2164.
Prepublished online as a Blood First Edition Paper on October 31, 2006; DOI 10.1182/blood-2006-06-028969.


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Submitted June 13, 2006
Accepted October 5, 2006

Gene expression profiling of systemic anaplastic large cell lymphoma reveals differences depending on ALK status and two distinct morphological ALK+ subtypes

Laurence Lamant, Aurelien De Reynies, Marie-Michele Duplantier, David S Rickman, Frederique Sabourdy, Sylvie Giuriato, Laurence Brugieres, Philippe Gaulard, Estelle Espinos, and Georges Delsol*

INSERM U563, France
Ligue Nationale contre le Cancer, France
Institut Gustave Roussy, France
Hopital Henri Mondor, France

* Corresponding author; email: delsol.g{at}chu-toulouse.fr.

Using microarray gene expression profiling, we analysed a homogeneous series of 32 cases of systemic Anaplastic Large Cell Lymphoma (ALCL) and 5 ALCL cell lines. Unsupervised analysis classified ALCL in two clusters corresponding essentially to morphological sub-groups (i.e. common type vs small cell and "mixed" variants) and clinical variables. Patients with a morphological variant of ALCL are associated with advanced stage disease. Most importantly, this group was also significantly enriched with patients who developed early relapse. Supervised analysis showed that ALK+ ALCL and ALK- ALCL have different gene expression profiles, further confirming that they are different entities. Among the most significantly differentially expressed genes between ALK+ and ALK- samples, we found BCL-6, PTPN12, C/EBP{beta}and serpinA1 genes to be overexpressed in ALK+ ALCL. This result was confirmed at the protein level for BCL-6, C/EBP{beta} and serpinA1 using tissue microarrays. The molecular signature of ALK- ALCL includes overexpression of CCR7, CNTFR, IL22 and IL21 genes but did not provide any obvious clues to the molecular mechanism underlying this tumor subtype. Once confirmed on a larger number of cases, the results of the present study could be used for clinical and therapeutic management of patients at the time of diagnosis.


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