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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 (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 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 Citing Articles via Google Scholar Google Scholar Articles by Byers, R. J Articles by Illidge, T. Search for Related Content PubMed PubMed Citation Articles by Byers, R. J Articles by Illidge, T. Related Collections Related Article in Blood Online Social Bookmarking                   What's this?  Previous Article  |  Next Article  Submitted October 9, 2007 Accepted December 18, 2007 Clinical quantitation of immune signature in follicular lymphoma by RT-PCR based gene expression profiling Richard J Byers*, Ebrahim Sakhinia, Preethi Joseph, Caroline Glennie, Judith A Hoyland, Lia P Menasce, John A Radford, and Timothy Illidge School of Cancer Imaging Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom Molecular Diagnostic Centre, Manchester Royal Infirmary, Manchester, United Kingdom Department of Histopathology, Manchester Royal Infirmary, Manchester, United Kingdom Tissue Injury and Repair, School of Clinical and Laboratory Sciences, Faculty of Medical and Human Sciences, University of Manchester, Manchester, United Kingdom Department of Histopathology, Christie Hospital NHS Foundation Trust, Manchester, United Kingdom * Corresponding author; email: r.byers{at}manchester.ac.uk. Microarray gene expression profiling studies have demonstrated immune response gene signatures which 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 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 & 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, whilst immunohistochemistry demonstrated association of high numbers of CD68 positive macrophages with a shorter survival interval and of high numbers of CD7 positive 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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