@article{MitchellLiWeinholdetal.2016,
  author    = {Mitchell, Jonathan S. and Li, Ni and Weinhold, Niels and F{\"o}rsti, Asta and Ali, Mina and van Duin, Mark and Thorleifsson, Gudmar and Johnson, David C. and Chen, Bowang and Halvarsson, Britt-Marie and Gudbjartsson, Daniel F. and Kuiper, Rowan and Stephens, Owen W. and Bertsch, Uta and Broderick, Peter and Campo, Chiara and Einsele, Hermann and Gregory, Walter A. and Gullberg, Urban and Henrion, Marc and Hillengass, Jens and Hoffmann, Per and Jackson, Graham H. and Johnsson, Ellinor and J{\"o}ud, Magnus and Kristinsson, Sigurdur Y. and Lenhoff, Stig and Lenive, Oleg and Mellqvist, Ulf-Henrik and Migliorini, Gabriele and Nahi, Hareth and Nelander, Sven and Nickel, Jolanta and N{\"o}then, Markus M. and Rafnar, Thorunn and Ross, Fiona M. and da Silva Filho, Miguel Inacio and Swaminathan, Bhairavi and Thomsen, Hauke and Turesson, Ingemar and Vangsted, Annette and Vogel, Ulla and Waage, Anders and Walker, Brian A. and Wihlborg, Anna-Karin and Broyl, Annemiek and Davies, Faith E. and Thorsteinsdottir, Unnur and Langer, Christian and Hansson, Markus and Kaiser, Martin and Sonneveld, Pieter and Stefansson, Kari and Morgan, Gareth J. and Goldschmidt, Hartmut and Hemminki, Kari and Nilsson, Bj{\"o}rn and Houlston, Richard S.},
  title     = {Genome-wide association study identifies multiple susceptibility loci for multiple myeloma},
  series = {Nature Communications},
  volume    = {7},
  journal   = {Nature Communications},
  doi       = {10.1038/ncomms12050},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165983},
  pages     = {12050},
  year      = {2016},
  abstract  = {Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10-8), 6q21 (rs9372120, P=9.09 × 10-15), 7q36.1 (rs7781265, P=9.71 × 10-9), 8q24.21 (rs1948915, P=4.20 × 10-11), 9p21.3 (rs2811710, P=1.72 × 10-13), 10p12.1 (rs2790457, P=1.77 × 10-8), 16q23.1 (rs7193541, P=5.00 × 10-12) and 20q13.13 (rs6066835, P=1.36 × 10-13), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.},
  language  = {en}
}
@article{StoelzelMohrKrameretal.2016,
  author    = {St{\"o}lzel, F. and Mohr, B. and Kramer, M. and Oelschl{\"a}gel, U. and Bochtler, T. and Berdel, W. E. and Kaufmann, M. and Baldus, C. D. and Sch{\"a}fer-Eckart, K. and Stuhlmann, R. and Einsele, H. and Krause, S. W. and Serve, H. and H{\"a}nel, M. and Herbst, R. and Neubauer, A. and Sohlbach, K. and Mayer, J. and Middeke, J. M. and Platzbecker, U. and Schaich, M. and Kr{\"a}mer, A. and R{\"o}llig, C. and Schetelig, J. and Bornh{\"a}user, M. and Ehninger, G.},
  title     = {Karyotype complexity and prognosis in acute myeloid leukemia},
  series = {Blood Cancer Journal},
  volume    = {6},
  journal   = {Blood Cancer Journal},
  doi       = {10.1038/bcj.2015.114},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-164530},
  pages     = {e386},
  year      = {2016},
  abstract  = {A complex aberrant karyotype consisting of multiple unrelated cytogenetic abnormalities is associated with poor prognosis in patients with acute myeloid leukemia (AML). The European Leukemia Net classification and the UK Medical Research Council recommendation provide prognostic categories that differ in the definition of unbalanced aberrations as well as the number of single aberrations. The aim of this study on 3526 AML patients was to redefine and validate a cutoff for karyotype complexity in AML with regard to adverse prognosis. Our study demonstrated that (1) patients with a pure hyperdiploid karyotype have an adverse risk irrespective of the number of chromosomal gains, (2) patients with translocation t(9;11)(p21∼22;q23) have an intermediate risk independent of the number of additional aberrations, (3) patients with 4 abnormalities have an adverse risk per se and (4) patients with three aberrations in the absence of abnormalities of strong influence (hyperdiploid karyotype, t(9;11)(p21∼22;q23), CBF-AML, unique adverse-risk aberrations) have borderline intermediate/adverse risk with a reduced overall survival compared with patients with a normal karyotype.},
  language  = {en}
}
@article{RichterHuettmannRekowskietal.2019,
  author    = {Richter, Julia and H{\"u}ttmann, Andreas and Rekowski, Jan and Schmitz, Christine and G{\"a}rtner, Selina and Rosenwald, Andreas and Hansmann, Martin-Leo and Hartmann, Sylvia and M{\"o}ller, Peter and Wacker, Hans-Heinrich and Feller, Alfred and Thorns, Christoph and M{\"u}ller, Stefan and D{\"u}hrsen, Ulrich and Klapper, Wolfram},
  title     = {Molecular characteristics of diffuse large B-cell lymphoma in the Positron Emission Tomography-Guided Therapy of Aggressive Non-Hodgkin lymphomas (PETAL) trial: correlation with interim PET and outcome},
  series = {Blood Cancer Journal},
  volume    = {9},
  journal   = {Blood Cancer Journal},
  doi       = {10.1038/s41408-019-0230-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-226185},
  pages     = {67},
  year      = {2019},
  abstract  = {No abstract available},
  language  = {en}
}
@article{GattoSchulzeNielsen2016,
  author    = {Gatto, Francesco and Schulze, Almut and Nielsen, Jens},
  title     = {Systematic Analysis Reveals that Cancer Mutations Converge on Deregulated Metabolism of Arachidonate and Xenobiotics},
  series = {Cell Reports},
  volume    = {16},
  journal   = {Cell Reports},
  number    = {3},
  doi       = {10.1016/j.celrep.2016.06.038},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-164814},
  pages     = {878-895},
  year      = {2016},
  abstract  = {Mutations are the basis of the clonal evolution of most cancers. Nevertheless, a systematic analysis of whether mutations are selected in cancer because they lead to the deregulation of specific biological processes independent of the type of cancer is still lacking. In this study, we correlated the genome and transcriptome of 1,082 tumors. We found that nine commonly mutated genes correlated with substantial changes in gene expression, which primarily converged on metabolism. Further network analyses circumscribed the convergence to a network of reactions, termed AraX, that involves the glutathione- and oxygen-mediated metabolism of arachidonic acid and xenobiotics. In an independent cohort of 4,462 samples, all nine mutated genes were consistently correlated with the deregulation of AraX. Among all of the metabolic pathways, AraX deregulation represented the strongest predictor of patient survival. These findings suggest that oncogenic mutations drive a selection process that converges on the deregulation of the AraX network.},
  language  = {en}
}