We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 873 biopsy specimens including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt’s lymphoma (BL), mixed FL/DLBCL lymphomas, primary mediastinal large B-cell lymphoma (PMBL), multiple myeloma (MM), IRF4-rearranged large cell lymphoma, MYC-negative high-grade B-cell lymphomas with Chr. 11q aberration pattern (mnBLL-11q), and Mantle cell lymphoma (MCL).
Data file type: OMICs Data
B-cell lymphoma is the most frequent lymphoid neoplasia accounting for one third of all lymphomas. R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone) is the current treatment standard, leading to high cure rates especially in younger patients. Although the 3-year event-free survival is about 60% even for elderly patients between 60-80 years old, the remainder of patients eventually relapse and the majority die of their disease. The German Non-Hodgkin's Lymphoma Study
MMML-MYC-SYS is a interdisciplinary consortium where partners from clinical haemaoncological study groups, pathologists, geneticicts, cell biologists as well as mathematicians, statisticians and bioinformaticists have allied. The goal is to investigate the process of development of B-cell lymphoma under special consideration of mutation of MYC. MYC is known to support the development and growth of tumors. This consortium collected and evaluated comprehensive molecular-genetic data for this purpose.
During 2003 and 2011 the german cancer aid funded the molecular mechanisms in malignant lymphomas (MMML) project. It is based on strongly interacting networks of reference pathologists, lymphoma scientists, bioinformaticians and clinical trial groups. Within the project about 1000 lymphoma samples and controls were characterized by gene expression and copy number arrays. The datasets were supplemented by extensive histopathological and clinical descriptions of the lymphoma cases. The aim of the
Authors: Henry Löffler-Wirth, Markus Kreuz, Lydia Hopp, A. Arakelyan, A. Haake, S. B. Cogliatti, A. C. Feller, M. L. Hansmann, D. Lenze, P. Moller, H. K. Muller-Hermelink, E. Fortenbacher, E. Willscher, G. Ott, A. Rosenwald, C. Pott, C. Schwaenen, H. Trautmann, S. Wessendorf, H. Stein, M. Szczepanowski, L. Trumper, Michael Hummel, W. Klapper, R. Siebert, Markus Löffler, Hans Binder
Date Published: 30th Apr 2019
Journal: Genome Med
PubMed ID: 31039827
Citation: Genome Med. 2019 Apr 30;11(1):27. doi: 10.1186/s13073-019-0637-7.