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Comparative Study
. 2004 Jan 1;103(1):275-82.
doi: 10.1182/blood-2003-05-1545. Epub 2003 Sep 22.

Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray

Christine P Hans  1 , Dennis D Weisenburger, Timothy C Greiner, Randy D Gascoyne, Jan Delabie, German Ott, H Konrad Müller-Hermelink, Elias Campo, Rita M Braziel, Elaine S Jaffe, Zenggang Pan, Pedro Farinha, Lynette M Smith, Brunangelo Falini, Alison H Banham, Andreas Rosenwald, Louis M Staudt, Joseph M Connors, James O Armitage, Wing C Chan
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Free article
Comparative Study

Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray

Christine P Hans et al. Blood. .
Free article

Abstract

Diffuse large B-cell lymphoma (DLBCL) can be divided into prognostically important subgroups with germinal center B-cell-like (GCB), activated B-cell-like (ABC), and type 3 gene expression profiles using a cDNA microarray. Tissue microarray (TMA) blocks were created from 152 cases of DLBCL, 142 of which had been successfully evaluated by cDNA microarray (75 GCB, 41 ABC, and 26 type 3). Sections were stained with antibodies to CD10, bcl-6, MUM1, FOXP1, cyclin D2, and bcl-2. Expression of bcl-6 (P <.001) or CD10 (P =.019) was associated with better overall survival (OS), whereas expression of MUM1 (P =.009) or cyclin D2 (P <.001) was associated with worse OS. Cases were subclassified using CD10, bcl-6, and MUM1 expression, and 64 cases (42%) were considered GCB and 88 cases (58%) non-GCB. The 5-year OS for the GCB group was 76% compared with only 34% for the non-GCB group (P <.001), which is similar to that reported using the cDNA microarray. Bcl-2 and cyclin D2 were adverse predictors in the non-GCB group. In multivariate analysis, a high International Prognostic Index score (3-5) and the non-GCB phenotype were independent adverse predictors (P <.0001). In summary, immunostains can be used to determine the GCB and non-GCB subtypes of DLBCL and predict survival similar to the cDNA microarray.

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