@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{LudwigDelforgeFaconetal.2018, author = {Ludwig, Heinz and Delforge, Michel and Facon, Thierry and Einsele, Hermann and Gay, Francesca and Moreau, Philippe and Avet-Loiseau, Herv{\´e} and Boccadoro, Mario and Hajek, Roman and Mohty, Mohamad and Cavo, Michele and Dimopoulos, Meletios A and San-Miguel, Jes{\´u}s F and Terpos, Evangelos and Zweegman, Sonja and Garderet, Laurent and Mateos, Mar{\´i}a-Victoria and Cook, Gordon and Leleu, Xavier and Goldschmidt, Hartmut and Jackson, Graham and Kaiser, Martin and Weisel, Katja and van de Donk, Niels W. C. J. and Waage, Anders and Beksac, Meral and Mellqvist, Ulf H. and Engelhardt, Monika and Caers, Jo and Driessen, Christoph and Blad{\´e}, Joan and Sonneveld, Pieter}, title = {Prevention and management of adverse events of novel agents in multiple myeloma: a consensus of the European Myeloma Network}, series = {Leukemia}, volume = {32}, journal = {Leukemia}, doi = {10.1038/s41375-018-0040-1}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-237338}, pages = {1542-1560}, year = {2018}, abstract = {During the last few years, several new drugs have been introduced for treatment of patients with multiple myeloma, which have significantly improved the treatment outcome. All of these novel substances differ at least in part in their mode of action from similar drugs of the same drug class, or are representatives of new drug classes, and as such present with very specific side effect profiles. In this review, we summarize these adverse events, provide information on their prevention, and give practical guidance for monitoring of patients and for management of adverse events.}, language = {en} } @article{WentSudSpeedyetal.2018, author = {Went, Molly and Sud, Amit and Speedy, Helen and Sunter, Nicola J. and F{\"o}rsti, Asta and Law, Philip J. and Johnson, David C. and Mirabella, Fabio and Holroyd, Amy and Li, Ni and Orlando, Giulia and Weinhold, Niels and van Duin, Mark and Chen, Bowang and Mitchell, Jonathan S. and Mansouri, Larry and Juliusson, Gunnar and Smedby, Karin E and Jayne, Sandrine and Majid, Aneela and Dearden, Claire and Allsup, David J. and Bailey, James R. and Pratt, Guy and Pepper, Chris and Fegan, Chris and Rosenquist, Richard and Kuiper, Rowan and Stephens, Owen W. and Bertsch, Uta and Broderick, Peter and Einsele, Hermann and Gregory, Walter M. and Hillengass, Jens and Hoffmann, Per and Jackson, Graham H. and J{\"o}ckel, Karl-Heinz and Nickel, Jolanta and N{\"o}then, Markus M. and da Silva Filho, Miguel Inacio and Thomsen, Hauke and Walker, Brian A. and Broyl, Annemiek and Davies, Faith E. and Hansson, Markus and Goldschmidt, Hartmut and Dyer, Martin J. S. and Kaiser, Martin and Sonneveld, Pieter and Morgan, Gareth J. and Hemminki, Kari and Nilsson, Bj{\"o}rn and Catovsky, Daniel and Allan, James M. and Houlston, Richard S.}, title = {Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology}, series = {Blood Cancer Journal}, volume = {9}, journal = {Blood Cancer Journal}, doi = {10.1038/s41408-018-0162-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-233627}, year = {2018}, abstract = {The clustering of different types of B-cell malignancies in families raises the possibility of shared aetiology. To examine this, we performed cross-trait linkage disequilibrium (LD)-score regression of multiple myeloma (MM) and chronic lymphocytic leukaemia (CLL) genome-wide association study (GWAS) data sets, totalling 11,734 cases and 29,468 controls. A significant genetic correlation between these two B-cell malignancies was shown (Rg = 0.4, P = 0.0046). Furthermore, four of the 45 known CLL risk loci were shown to associate with MM risk and five of the 23 known MM risk loci associate with CLL risk. By integrating eQTL, Hi-C and ChIP-seq data, we show that these pleiotropic risk loci are enriched for B-cell regulatory elements and implicate B-cell developmental genes. These data identify shared biological pathways influencing the development of CLL and, MM and further our understanding of the aetiological basis of these B-cell malignancies.}, language = {en} } @article{WalkerMavrommatisWardelletal.2019, author = {Walker, Brian A. and Mavrommatis, Konstantinos and Wardell, Christopher P. and Ashby, T. Cody and Bauer, Michael and Davies, Faith and Rosenthal, Adam and Wang, Hongwei and Qu, Pingping and Hoering, Antje and Samur, Mehmet and Towfic, Fadi and Ortiz, Maria and Flynt, Erin and Yu, Zhinuan and Yang, Zhihong and Rozelle, Dan and Obenauer, John and Trotter, Matthew and Auclair, Daniel and Keats, Jonathan and Bolli, Niccolo and Fulciniti, Mariateresa and Szalat, Raphael and Moreau, Phillipe and Durie, Brian and Stewart, A. Keith and Goldschmidt, Hartmut and Raab, Marc S. and Einsele, Hermann and Sonneveld, Pieter and San Miguel, Jesus and Lonial, Sagar and Jackson, Graham H. and Anderson, Kenneth C. and Avet-Loiseau, Herve and Munshi, Nikhil and Thakurta, Anjan and Morgan, Gareth}, title = {A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis}, series = {Leukemia}, volume = {33}, journal = {Leukemia}, doi = {10.1038/s41375-018-0196-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-233299}, pages = {159-170}, year = {2019}, abstract = {Patients with newly diagnosed multiple myeloma (NDMM) with high-risk disease are in need of new treatment strategies to improve the outcomes. Multiple clinical, cytogenetic, or gene expression features have been used to identify high-risk patients, each of which has significant weaknesses. Inclusion of molecular features into risk stratification could resolve the current challenges. In a genome-wide analysis of the largest set of molecular and clinical data established to date from NDMM, as part of the Myeloma Genome Project, we have defined DNA drivers of aggressive clinical behavior. Whole-genome and exome data from 1273 NDMM patients identified genetic factors that contribute significantly to progression free survival (PFS) and overall survival (OS) (cumulative R2 = 18.4\% and 25.2\%, respectively). Integrating DNA drivers and clinical data into a Cox model using 784 patients with ISS, age, PFS, OS, and genomic data, the model has a cumlative R2 of 34.3\% for PFS and 46.5\% for OS. A high-risk subgroup was defined by recursive partitioning using either a) bi-allelic TP53 inactivation or b) amplification (≥4 copies) of CKS1B (1q21) on the background of International Staging System III, comprising 6.1\% of the population (median PFS = 15.4 months; OS = 20.7 months) that was validated in an independent dataset. Double-Hit patients have a dire prognosis despite modern therapies and should be considered for novel therapeutic approaches.}, language = {en} }