@article{LopezKleinheinzAukemaetal.2019,
  author    = {L{\´o}pez, Cristina and Kleinheinz, Kortine and Aukema, Sietse M. and Rohde, Marius and Bernhart, Stephan H. and H{\"u}bschmann, Daniel and Wagener, Rabea and Toprak, Umut H. and Raimondi, Francesco and Kreuz, Markus and Waszak, Sebastian M. and Huang, Zhiqin and Sieverling, Lina and Paramasivam, Nagarajan and Seufert, Julian and Sungalee, Stephanie and Russell, Robert B. and Bausinger, Julia and Kretzmer, Helene and Ammerpohl, Ole and Bergmann, Anke K. and Binder, Hans and Borkhardt, Arndt and Brors, Benedikt and Claviez, Alexander and Doose, Gero and Feuerbach, Lars and Haake, Andrea and Hansmann, Martin-Leo and Hoell, Jessica and Hummel, Michael and Korbel, Jan O. and Lawerenz, Chris and Lenze, Dido and Radlwimmer, Bernhard and Richter, Julia and Rosenstiel, Philip and Rosenwald, Andreas and Schilhabel, Markus B. and Stein, Harald and Stilgenbauer, Stephan and Stadler, Peter F. and Szczepanowski, Monika and Weniger, Marc A. and Zapatka, Marc and Eils, Roland and Lichter, Peter and Loeffler, Markus and M{\"o}ller, Peter and Tr{\"u}mper, Lorenz and Klapper, Wolfram and Hoffmann, Steve and K{\"u}ppers, Ralf and Burkhardt, Birgit and Schlesner, Matthias and Siebert, Reiner},
  title     = {Genomic and transcriptomic changes complement each other in the pathogenesis of sporadic Burkitt lymphoma},
  series = {Nature Communications},
  volume    = {10},
  journal   = {Nature Communications},
  organization    = {ICGC MMML-Seq Consortium},
  doi       = {10.1038/s41467-019-08578-3},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-237281},
  year      = {2019},
  abstract  = {Burkitt lymphoma (BL) is the most common B-cell lymphoma in children. Within the International Cancer Genome Consortium (ICGC), we performed whole genome and transcriptome sequencing of 39 sporadic BL. Here, we unravel interaction of structural, mutational, and transcriptional changes, which contribute to MYC oncogene dysregulation together with the pathognomonic IG-MYC translocation. Moreover, by mapping IGH translocation breakpoints, we provide evidence that the precursor of at least a subset of BL is a B-cell poised to express IGHA. We describe the landscape of mutations, structural variants, and mutational processes, and identified a series of driver genes in the pathogenesis of BL, which can be targeted by various mechanisms, including IG-non MYC translocations, germline and somatic mutations, fusion transcripts, and alternative splicing.},
  language  = {en}
}
@article{LoefflerWirthKreuzHoppetal.2019,
  author    = {Loeffler-Wirth, Henry and Kreuz, Markus and Hopp, Lydia and Arakelyan, Arsen and Haake, Andrea and Cogliatti, Sergio B. and Feller, Alfred C. and Hansmann, Martin-Leo and Lenze, Dido and M{\"o}ller, Peter and M{\"u}ller-Hermelink, Hans Konrad and Fortenbacher, Erik and Willscher, Edith and Ott, German and Rosenwald, Andreas and Pott, Christiane and Schwaenen, Carsten and Trautmann, Heiko and Wessendorf, Swen and Stein, Harald and Szczepanowski, Monika and Tr{\"u}mper, Lorenz and Hummel, Michael and Klapper, Wolfram and Siebert, Reiner and Loeffler, Markus and Binder, Hans},
  title     = {A modular transcriptome map of mature B cell lymphomas},
  series = {Genome Medicine},
  volume    = {11},
  journal   = {Genome Medicine},
  doi       = {10.1186/s13073-019-0637-7},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-237262},
  year      = {2019},
  abstract  = {Background Germinal center-derived B cell lymphomas are tumors of the lymphoid tissues representing one of the most heterogeneous malignancies. Here we characterize the variety of transcriptomic phenotypes of this disease based on 873 biopsy specimens collected in the German Cancer Aid MMML (Molecular Mechanisms in Malignant Lymphoma) consortium. They include diffuse large B cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt's lymphoma, mixed FL/DLBCL lymphomas, primary mediastinal large B cell lymphoma, multiple myeloma, IRF4-rearranged large cell lymphoma, MYC-negative Burkitt-like lymphoma with chr. 11q aberration and mantle cell lymphoma. Methods We apply self-organizing map (SOM) machine learning to microarray-derived expression data to generate a holistic view on the transcriptome landscape of lymphomas, to describe the multidimensional nature of gene regulation and to pursue a modular view on co-expression. Expression data were complemented by pathological, genetic and clinical characteristics. Results We present a transcriptome map of B cell lymphomas that allows visual comparison between the SOM portraits of different lymphoma strata and individual cases. It decomposes into one dozen modules of co-expressed genes related to different functional categories, to genetic defects and to the pathogenesis of lymphomas. On a molecular level, this disease rather forms a continuum of expression states than clearly separated phenotypes. We introduced the concept of combinatorial pattern types (PATs) that stratifies the lymphomas into nine PAT groups and, on a coarser level, into five prominent cancer hallmark types with proliferation, inflammation and stroma signatures. Inflammation signatures in combination with healthy B cell and tonsil characteristics associate with better overall survival rates, while proliferation in combination with inflammation and plasma cell characteristics worsens it. A phenotypic similarity tree is presented that reveals possible progression paths along the transcriptional dimensions. Our analysis provided a novel look on the transition range between FL and DLBCL, on DLBCL with poor prognosis showing expression patterns resembling that of Burkitt's lymphoma and particularly on 'double-hit' MYC and BCL2 transformed lymphomas. Conclusions The transcriptome map provides a tool that aggregates, refines and visualizes the data collected in the MMML study and interprets them in the light of previous knowledge to provide orientation and support in current and future studies on lymphomas and on other cancer entities.},
  language  = {en}
}