1. Comprehensive gene expression profiling and immunohistochemical studies support application of immunophenotypic algorithm for molecular subtype classification in diffuse large B-cell lymphoma: a report from the International DLBCL Rituximab-CHOP Consortium Program Study
- Author
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C Visco, Y Li, Z Y Xu-Monette, R N Miranda, T M Green, A Tzankov, W Wen, W-m Liu, B S Kahl, E S G d'Amore, S Montes-Moreno, K Dybkær, A Chiu, W Tam, A Orazi, Y Zu, G Bhagat, J N Winter, H-Y Wang, S O'Neill, C H Dunphy, E D Hsi, X F Zhao, R S Go, W W L Choi, F Zhou, M Czader, J Tong, X Zhao, J H van Krieken, Q Huang, W Ai, J Etzell, M Ponzoni, A J M Ferreri, M A Piris, M B Møller, C E Bueso-Ramos, L J Medeiros, L Wu, K H Young, Visco, C, Li, Y, Xu Monette, Zy, Miranda, Rn, Green, Tm, Tzankov, A, Wen, W, Liu, Wm, Kahl, B, D'Amore, Esg, Montes Moreno, S, Dybkaer, K, Chiu, A, Tam, W, Orazi, A, Zu, Y, Bhagat, G, Winter, Jn, Wang, Hy, O'Neill, S, Dunphy, Ch, Hsi, Ed, Zhao, Xf, Go, R, Choi, Wwl, Zhou, F, Czader, M, Tong, J, Zhao, X, van Krieken, Jh, Huang, Q, Ai, W, Etzell, J, Ponzoni, Maurilio, Ferreri, Ajm, Piris, Ma, Moller, Mb, Bueso Ramos, Ce, Medeiros, Lj, Wu, L, and Young, Kh
- Subjects
Male ,Cancer Research ,Lymphoma ,CHOP ,Immunoenzyme Techniques ,Antibodies, Monoclonal, Murine-Derived ,International Prognostic Index ,immune system diseases ,hemic and lymphatic diseases ,Antineoplastic Combined Chemotherapy Protocols ,Biomarkers, Tumor ,Cyclophosphamide ,Doxorubicin ,Female ,Humans ,Immunophenotyping ,Lymphoma, Large B-Cell, Diffuse ,Middle Aged ,Oligonucleotide Array Sequence Analysis ,Prednisone ,Prognosis ,Rituximab ,Survival Rate ,Tissue Array Analysis ,Vincristine ,Algorithms ,Gene Expression Profiling ,Monoclonal ,Tissue microarray ,Tumor ,Hematology ,BCL6 ,Translational research Tissue engineering and pathology [ONCOL 3] ,Diffuse ,Oncology ,Tumor Markers, Biological ,Algorithm ,medicine.drug ,Murine-Derived ,Biology ,Article ,Antibodies ,medicine ,Large B-Cell ,Germinal center ,medicine.disease ,Gene expression profiling ,Diffuse large B-cell lymphoma ,Biomarkers - Abstract
Gene expression profiling (GEP) has stratified diffuse large B-cell lymphoma (DLBCL) into molecular subgroups that correspond to different stages of lymphocyte development-namely germinal center B-cell-like and activated B-cell-like. This classification has prognostic significance, but GEP is expensive and not readily applicable into daily practice, which has lead to immunohistochemical algorithms proposed as a surrogate for GEP analysis. We assembled tissue microarrays from 475 de novo DLBCL patients who were treated with rituximab-CHOP chemotherapy. All cases were successfully profiled by GEP on formalin-fixed, paraffin-embedded tissue samples. Sections were stained with antibodies reactive with CD10, GCET1, FOXP1, MUM1, and BCL6 and cases were classified following a rationale of sequential steps of differentiation of B-cells. Cutoffs for each marker were obtained using receiver operating characteristic curves, obviating the need for any arbitrary method. An algorithm based on the expression of CD10, FOXP1, and BCL6 was developed that had a simpler structure than other recently proposed algorithms and 92.6% concordance with GEP. In multivariate analysis, both the International Prognostic Index and our proposed algorithm were significant independent predictors of progression-free and overall survival. In conclusion, this algorithm effectively predicts prognosis of DLBCL patients matching GEP subgroups in the era of rituximab therapy.Leukemia accepted article preview online, 22 March 2012; doi:10.1038/leu.2012.83.
- Published
- 2012
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