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Blood, 1 May 2008, Vol. 111, No. 9, pp. 4764-4770. Prepublished online as a Blood First Edition Paper on January 3, 2008; DOI 10.1182/blood-2007-10-115915. This Article Full Text Full Text (PDF) Supplemental Methods and Table All Versions of this Article: blood-2007-10-115915v1 111/9/4764    most recent Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Rights and Permissions Citing Articles Citing Articles via HighWire Citing Articles via CrossRef Google Scholar Articles by Byers, R. J. Articles by Illidge, T. PubMed PubMed Citation Articles by Byers, R. J. Articles by Illidge, T. Related Collections Neoplasia Related Article in Blood Online Social Bookmarking                   What's this?  Previous Article  |  Table of Contents  |  Next Article  NEOPLASIA Clinical quantitation of immune signature in follicular lymphoma by RT-PCR–based gene expression profiling Richard J. Byers1, Ebrahim Sakhinia*,2, Preethi Joseph*,3, Caroline Glennie3, Judith A. Hoyland4, Lia P. Menasce5, John A. Radford1, and Timothy Illidge1 1 School of Cancer Imaging Sciences, Faculty of Medical and Human Sciences, The University of Manchester, Manchester; 2 Molecular Diagnostic Centre, Manchester Royal Infirmary, Manchester; 3 Department of Histopathology, Manchester Royal Infirmary, Manchester; 4 Tissue Injury and Repair, School of Clinical and Laboratory Sciences, Faculty of Medical and Human Sciences, The University of Manchester, Manchester; and 5 Department of Histopathology, Christie Hospital National Health Service (NHS) Foundation Trust, Manchester, United Kingdom Microarray gene expression profiling studies have demonstrated immune response gene signatures that appear predictive of outcome in follicular lymphoma (FL). However, measurement of these marker genes in routine practice remains difficult. We have therefore investigated the immune response in FL using real-time polymerase chain reaction (PCR) to measure expression levels of 35 candidate Indicator genes, selected from microarray studies, to polyA cDNAs prepared from 60 archived human frozen lymph nodes, in parallel with immunohistochemical analysis for CD3, CD4, CD7, CD8, CD10, CD20, CD21, and CD68. High levels of CCR1, a marker of monocyte activation, were associated with a shorter survival interval, and high levels of CD3 with better survival, while immunohistochemistry demonstrated association of high numbers of CD68+ macrophages with a shorter survival interval and of high numbers of CD7+ T cells with a longer survival interval. The results confirm the role of the host immune response in outcome in FL and identify CCR1 as a prognostic indicator and marker of an immune switch between macrophages and a T cell–dominant response. They demonstrate the utility of polyA DNA and real-time PCR for measurement of gene signatures and the applicability of using this type of "molecular block" in clinical practice. CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this? Related Article in Blood Online: Follicular lymphoma and the microenvironment Sandeep S. Dave Blood 2008 111: 4427-4428. [Full Text] [PDF] This article has been cited by other articles: N. A. Johnson and R. D. Gascoyne Gene expression signatures in follicular lymphoma: are they ready for the clinic? Haematologica, July 1, 2008; 93(7): 982 - 987. [Full Text] [PDF]

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