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Advances in Hematology
Volume 2011 (2011), Article ID 485310, 8 pages
Review Article

Gene Expression Profiling for In Silico Microdissection of Hodgkin's Lymphoma Microenvironment and Identification of Prognostic Features

1Department of Bio-Pathology, Institut Paoli-Calmettes, 232, bd Sainte-Marguerite, 13273 Marseille Cedex 09, France
2Department of Medical Oncology, Institut Paoli-Calmettes, 13009 Marseille, France
3Faculty of Medicine, University of Mediterranee, 13284 Marseille Cedex 07, France

Received 2 August 2010; Accepted 11 November 2010

Academic Editor: Shaji Kumar

Copyright © 2011 François Bertucci et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Gene expression profiling studies based on DNA microarrays have demonstrated their ability to define the interaction pathways between neoplastic and nonmalignant stromal cells in cancer tissues. During the past ten years, a number of approaches including microdissection have tried to resolve the variability in DNA microarray measurements stemming from cancer tissue sample heterogeneity. Another approach, designated as virtual or in silico microdissection, avoids the laborious and time-consuming step of anatomic microdissection. It consists of confronting the gene expression profiles of complex tissue samples to those of cell lines representative of different cell lineages, different differentiation stages, or different signaling pathways. This strategy has been used in recent studies aiming to analyze microenvironment alterations using gene expression profiling of nonmicrodissected classical Hodgkin lymphoma tissues in order to generate new prognostic factors. These recent contributions are detailed and discussed in the present paper.