@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}
}
@article{HartmannPluetschowMottoketal.2019,
  author    = {Hartmann, Sylvia and Pl{\"u}tschow, Annette and Mottok, Anja and Bernd, Heinz-Wolfram and Feller, Alfred C. and Ott, German and Cogliatti, Sergio and Fend, Falko and Quintanilla-Martinez, Leticia and Stein, Harald and Klapper, Wolfram and M{\"o}ller, Peter and Rosenwald, Andreas and Engert, Andreas and Hansmann, Martin-Leo and Eichenauer, Dennis A.},
  title     = {The time to relapse correlates with the histopathological growth pattern in nodular lymphocyte predominant Hodgkin lymphoma},
  series = {American Journal of Hematology},
  volume    = {94},
  journal   = {American Journal of Hematology},
  number    = {11},
  doi       = {10.1002/ajh.25607},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-212594},
  pages     = {1208 -- 1213},
  year      = {2019},
  abstract  = {Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) can present with different histopathological growth patterns. The impact of these histopathological growth patterns on relapse characteristics is unknown. We therefore analyzed paired biopsies obtained at initial diagnosis and relapse from 33 NLPHL patients who had received first-line treatment within German Hodgkin Study Group (GHSG) trial protocols, and from a second cohort of 41 relapsed NLPHL patients who had been treated outside GHSG studies. Among the 33 GHSG patients, 21 patients presented with a typical growth pattern at initial diagnosis, whereas 12 patients had a variant histology. The histopathological growth patterns at initial diagnosis and at relapse were consistent in 67\% of cases. A variant histology at initial diagnosis was associated with a shorter median time to lymphoma recurrence (2.8 vs 5.2 years; P = .0219). A similar tendency towards a shorter median time to lymphoma recurrence was observed for patients presenting with a variant histology at relapse, irrespective of the growth pattern at initial diagnosis. Results obtained from the 41 NLPHL patients who had been treated outside GHSG studies were comparable (median time to lymphoma recurrence for variant histology vs typical growth pattern at initial diagnosis: 1.5 vs 7.0 years). In conclusion, the histopathological growth pattern remains consistent at relapse in the majority of NLPHL cases, and has major impact on the time of relapse.},
  language  = {en}
}