CONTEXT: Diffuse large B-cell lymphoma (DLBCL) can be assigned to prognostic subgroups, including germinal center B-cell (GCB) and activated B-cell subgroups, by using gene expression profiling and, reportedly, immunohistochemistry for CD10, Bcl-6, and multiple myeloma-1/interferon regulatory factor-4 (MUM1/IRF4). OBJECTIVE: To compare 2 commercial MUM1/IRF4 antibody formulations for accuracy in subtyping DLBCL against gene expression profiling, compare subtyping to patient survival, and evaluate the usefulness of GCB and non-GCB subtyping in relapsed and transformed DLBCL. DESIGN: Evaluation of 2 commercial MUM1/IRF4 antibodies, ICSTAT/M17 and Mum-1p, by using 40 cases of de novo, relapsed, and transformed DLBCL; and comparison of the results obtained with gene expression profiling and survival. RESULTS: Immunohistochemistry predicted the gene expression profiling subtype 71.8% and 69.2% of the time overall with use of the Mum-1p and ICSTAT/M17 antibodies, respectively, and 100% and 91.7% of the time when MUM1/IRF4 expression determined subtype. Gene expression profiling and immunohistochemistry revealed nearly identical 5-year overall survival rates for the GCB vs non-GCB subtypes (68.0% for GCB vs 24.7% for non-GCB with use of gene expression profiling [P = .03] and 70.2% vs 18.4%, respectively, with use of immunohistochemistry [P < .001]). When de novo, transformed, and relapsed cases were analyzed separately, 5-year overall survival rates were also significantly different. CONCLUSIONS: Immunohistochemistry can be used to subclassify DLBCL, including a very small series of transformed and relapsed cases, into GCB and non-GCB subtypes and predict survival rates similar to those predicted by use of gene expression profiling. The 2 MUM1/IRF4 antibodies performed similarly.
CONTEXT: Diffuse large B-cell lymphoma (DLBCL) can be assigned to prognostic subgroups, including germinal center B-cell (GCB) and activated B-cell subgroups, by using gene expression profiling and, reportedly, immunohistochemistry for CD10, Bcl-6, and multiple myeloma-1/interferon regulatory factor-4 (MUM1/IRF4). OBJECTIVE: To compare 2 commercial MUM1/IRF4 antibody formulations for accuracy in subtyping DLBCL against gene expression profiling, compare subtyping to patient survival, and evaluate the usefulness of GCB and non-GCB subtyping in relapsed and transformed DLBCL. DESIGN: Evaluation of 2 commercial MUM1/IRF4 antibodies, ICSTAT/M17 and Mum-1p, by using 40 cases of de novo, relapsed, and transformed DLBCL; and comparison of the results obtained with gene expression profiling and survival. RESULTS: Immunohistochemistry predicted the gene expression profiling subtype 71.8% and 69.2% of the time overall with use of the Mum-1p and ICSTAT/M17 antibodies, respectively, and 100% and 91.7% of the time when MUM1/IRF4 expression determined subtype. Gene expression profiling and immunohistochemistry revealed nearly identical 5-year overall survival rates for the GCB vs non-GCB subtypes (68.0% for GCB vs 24.7% for non-GCB with use of gene expression profiling [P = .03] and 70.2% vs 18.4%, respectively, with use of immunohistochemistry [P < .001]). When de novo, transformed, and relapsed cases were analyzed separately, 5-year overall survival rates were also significantly different. CONCLUSIONS: Immunohistochemistry can be used to subclassify DLBCL, including a very small series of transformed and relapsed cases, into GCB and non-GCB subtypes and predict survival rates similar to those predicted by use of gene expression profiling. The 2 MUM1/IRF4 antibodies performed similarly.
Authors: Sarah T Wilkinson; Kristie A Vanpatten; Diane R Fernandez; Patrick Brunhoeber; Karl E Garsha; Betty J Glinsmann-Gibson; Thomas M Grogan; Julie Teruya-Feldstein; Lisa M Rimsza Journal: Blood Date: 2011-12-13 Impact factor: 22.113
Authors: Heinz-Wolfram Bernd; Marita Ziepert; Christoph Thorns; Wolfram Klapper; Hans-Heinrich Wacker; Michael Hummel; Harald Stein; Martin-Leo Hansmann; German Ott; Andreas Rosenwald; Hans-Konrad Müller-Hermelink; Thomas F E Barth; Peter Möller; Sergio B Cogliatti; Michael Pfreundschuh; Norbert Schmitz; Lorenz Trümper; Silvia Höller; Markus Löffler; Alfred C Feller Journal: Haematologica Date: 2009-11 Impact factor: 9.941
Authors: Lindsay M Morton; James R Cerhan; Patricia Hartge; Mohammad A Vasef; Vishala T Neppalli; Yasodha Natkunam; Ahmet Dogan; Bhavana J Dave; Smrati Jain; Ronald Levy; Izidore S Lossos; Wendy Cozen; Scott Davis; Mary Jean Schenk; Matthew J Maurer; Charles F Lynch; Nathaniel Rothman; Nilanjan Chatterjee; Kai Yu; Louis M Staudt; Dennis D Weisenburger; Sophia S Wang Journal: Int J Mol Epidemiol Genet Date: 2011-07-05
Authors: Sylvia Höller; Heike Horn; Andreas Lohr; Uwe Mäder; Tiemo Katzenberger; Jörg Kalla; Heinz-Wolfram Bernd; Philip Went; M Michaela Ott; Hans Konrad Müller-Hermelink; Andreas Rosenwald; German Ott Journal: J Hematop Date: 2009-09-02 Impact factor: 0.196
Authors: William W L Choi; Dennis D Weisenburger; Timothy C Greiner; Miguel A Piris; Alison H Banham; Jan Delabie; Rita M Braziel; Huimin Geng; Javeed Iqbal; Georg Lenz; Julie M Vose; Christine P Hans; Kai Fu; Lynette M Smith; Min Li; Zhongfeng Liu; Randy D Gascoyne; Andreas Rosenwald; German Ott; Lisa M Rimsza; Elias Campo; Elaine S Jaffe; David L Jaye; Louis M Staudt; Wing C Chan Journal: Clin Cancer Res Date: 2009-08-25 Impact factor: 12.531