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674


Subclonal TP53 copy number is associated with prognosis in multiple myeloma

Shah, Vallari; Johnson, David C; Sherborne, Amy L; Ellis, Sidra; Aldridge, Frances M; Howard-Reeves, Julie; Begum, Farzana; Price, Amy; Kendall, Jack; Chiecchio, Laura; Savola, Suvi; Jenner, Matthew W; Drayson, Mark T; Owen, Roger G; Gregory, Walter M; Morgan, Gareth J; Davies, Faith E; Houlston, Richard S; Cook, Gordon; Cairns, David A; Jackson, Graham; Kaiser, Martin F
Multiple myeloma (MM) is a genetically heterogeneous cancer of bone marrow plasma cells with variable outcome. To assess the prognostic relevance of clonal heterogeneity of TP53 copy number, we profiled tumors from 1777 newly diagnosed Myeloma XI trial patients with multiplex ligation-dependent probe amplification (MLPA). Subclonal TP53 deletions were independently associated with shorter overall survival, with a hazard ratio of 1.8 (95% confidence interval, 1.2-2.8; P = .01). Clonal, but not subclonal, TP53 deletions were associated with clinical markers of advanced disease, specifically lower platelet counts (P < .001) and increased lactate dehydrogenase (P < .001), as well as a higher frequency of features indicative of genomic instability, del(13q) (P = .002) or del(1p) (P = .006). Biallelic TP53 loss-of-function by mutation and deletion was rare (2.4%) and associated with advanced disease. We present a framework for identifying subclonal TP53 deletions by MLPA, to improve patient stratification in MM and tailor therapy, enabling management strategies.
PMID: 30373884
ISSN: 1528-0020
CID: 3649382

The genomic landscape of plasma cells in systemic light chain amyloidosis [Letter]

Boyle, Eileen M; Ashby, Cody; Wardell, Christopher P; Rowczenio, Dorota; Sachchithanantham, Sajitha; Wang, Yan; Johnson, Sarah K; Bauer, Michael A; Weinhold, Niels; Kaiser, Martin F; Johnson, David C; Jones, John R; Pawlyn, Charlotte; Proszek, Paula; Schinke, Carolina; Facon, Thierry; Dumontet, Charles; Davies, Faith E; Morgan, Gareth J; Walker, Brian A; Wechalekar, Ashutosh D
PMID: 30446495
ISSN: 1528-0020
CID: 3649392

Distinct promoter methylation profile reveals spatial epigenetic heterogeneity in 2 myeloma patients with multifocal extramedullary relapses [Letter]

Yao, Qiumei; Morgan, Gareth J; Chim, Chor Sang
Spatial and subclonal genetic heterogeneity in multiple myeloma (MM) have been demonstrated by sequencing of plasma cells from multi-focal regions, but studies of spatial epigenetic heterogeneity are scanty. Herein, promoter methylation status of genes implicated in disease progression (CDKN2A and SHP1) and marrow escape (CDH1, CD56, and CXCR4) was studied in two patients with multi-focal extramedullary relapses. Patient 1 developed simultaneous chest wall and duodenal plasmacytoma at relapse. While SHP1 and CDKN2A were hypermethylated in both plasmacytomas, CDH1 hypermethylation was detected only in the chest wall. In patient 2, SHP1 methylation was found in the extradural plasmacytoma but not bone marrow (BM) at diagnosis, and the circulating PCs but not the BM at relapse. As the clonality, based on sequence of the complementarity-determining region 3 (CDR3) of the immunoglobulin gene, was conserved in plasma cells at diagnosis and relapse, differential methylation of CDH1 in patient 1 and SHP1 in patient 2 was an illustration of spatial epigenetic heterogeneity. Furthermore, subclonal epigenetic heterogeneity was identified by the presence of subclonal SHP1 promoter methylation within the chest wall plasmacytoma of patient 1. In summary, our data showed distinct promoter methylation profile of plasma cells from multiple regions. This is the first report of spatial epigenetic heterogeneity in MM.
PMCID:6302381
PMID: 30572945
ISSN: 1868-7083
CID: 3649412

The genomic features associated with high-risk multiple myeloma [Comment]

Walker, Brian A; Morgan, Gareth J
PMID: 30464803
ISSN: 1949-2553
CID: 3649712

Genetic correlation between multiple myeloma and chronic lymphocytic leukaemia provides evidence for shared aetiology

Went, Molly; Sud, Amit; Speedy, Helen; Sunter, Nicola J; Försti, Asta; Law, Philip J; Johnson, David C; Mirabella, Fabio; Holroyd, Amy; Li, Ni; Orlando, Giulia; Weinhold, Niels; van Duin, Mark; Chen, Bowang; Mitchell, Jonathan S; Mansouri, Larry; Juliusson, Gunnar; Smedby, Karin E; Jayne, Sandrine; Majid, Aneela; Dearden, Claire; Allsup, David J; Bailey, James R; Pratt, Guy; Pepper, Chris; Fegan, Chris; Rosenquist, Richard; Kuiper, Rowan; Stephens, Owen W; Bertsch, Uta; Broderick, Peter; Einsele, Hermann; Gregory, Walter M; Hillengass, Jens; Hoffmann, Per; Jackson, Graham H; Jöckel, Karl-Heinz; Nickel, Jolanta; Nöthen, Markus M; da Silva Filho, Miguel Inacio; Thomsen, Hauke; Walker, Brian A; Broyl, Annemiek; Davies, Faith E; Hansson, Markus; Goldschmidt, Hartmut; Dyer, Martin J S; Kaiser, Martin; Sonneveld, Pieter; Morgan, Gareth J; Hemminki, Kari; Nilsson, Björn; Catovsky, Daniel; Allan, James M; Houlston, Richard S
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.
PMCID:6315026
PMID: 30602759
ISSN: 2044-5385
CID: 3649432

Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma

Went, Molly; Sud, Amit; Försti, Asta; Halvarsson, Britt-Marie; Weinhold, Niels; Kimber, Scott; van Duin, Mark; Thorleifsson, Gudmar; Holroyd, Amy; Johnson, David C; Li, Ni; Orlando, Giulia; Law, Philip J; Ali, Mina; Chen, Bowang; Mitchell, Jonathan S; Gudbjartsson, Daniel F; Kuiper, Rowan; Stephens, Owen W; Bertsch, Uta; Broderick, Peter; Campo, Chiara; Bandapalli, Obul R; Einsele, Hermann; Gregory, Walter A; Gullberg, Urban; Hillengass, Jens; Hoffmann, Per; Jackson, Graham H; Jöckel, Karl-Heinz; Johnsson, Ellinor; Kristinsson, Sigurður Y; Mellqvist, Ulf-Henrik; Nahi, Hareth; Easton, Douglas; Pharoah, Paul; Dunning, Alison; Peto, Julian; Canzian, Federico; Swerdlow, Anthony; Eeles, Rosalind A; Kote-Jarai, ZSofia; Muir, Kenneth; Pashayan, Nora; Nickel, Jolanta; Nöthen, Markus M; Rafnar, Thorunn; Ross, Fiona M; da Silva Filho, Miguel Inacio; Thomsen, Hauke; Turesson, Ingemar; Vangsted, Annette; Andersen, Niels Frost; Waage, Anders; Walker, Brian A; Wihlborg, Anna-Karin; Broyl, Annemiek; Davies, Faith E; Thorsteinsdottir, Unnur; Langer, Christian; Hansson, Markus; Goldschmidt, Hartmut; Kaiser, Martin; Sonneveld, Pieter; Stefansson, Kari; Morgan, Gareth J; Hemminki, Kari; Nilsson, Björn; Houlston, Richard S
Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous GWAS and a replication series, totalling 9974 MM cases and 247,556 controls of European ancestry. Collectively, these data provide evidence for six new MM risk loci, bringing the total number to 23. Integration of information from gene expression, epigenetic profiling and in situ Hi-C data for the 23 risk loci implicate disruption of developmental transcriptional regulators as a basis of MM susceptibility, compatible with altered B-cell differentiation as a key mechanism. Dysregulation of autophagy/apoptosis and cell cycle signalling feature as recurrently perturbed pathways. Our findings provide further insight into the biological basis of MM.
PMID: 30213928
ISSN: 2041-1723
CID: 3649662

An Evaluation of Gene Set Analysis for Biomarker Discovery with Applications to Myeloma Research

Chapter by: Qu, Pingping; Tian, Erming; Barlogie, Bart; Morgan, Gareth; Crowley, John
in: Frontiers of biostatistical methods and applications in clinical oncology by Matsui, Shigeyuki; Crowley, John (Eds)
Singapore : Springer, [2017]
pp. 413-434
ISBN: 9789811001260
CID: 3708792

Optimal Three-Group Splits Based on a Survival Outcome

Chapter by: Crowley, John; Mitchell, Alan; Qu, Pingping; Morgan, Gareth; Barlogie, Bart
in: Frontiers of biostatistical methods and applications in clinical oncology by Matsui, Shigeyuki; Crowley, John (Eds)
Singapore : Springer, [2017]
pp. 231-242
ISBN: 9789811001260
CID: 3708782

Cure-Rate Survival Models and Their Application to Cancer Clinical Trials

Chapter by: Othus, Megan; Mitchell, Alan; Barlogie, Bart; Morgan, Gareth; Crowley, John
in: Frontiers of biostatistical methods and applications in clinical oncology by Matsui, Shigeyuki; Crowley, John (Eds)
Singapore : Springer, [2017]
pp. 165-178
ISBN: 9789811001260
CID: 3708772

Hyperhaploidy is a novel high-risk cytogenetic subgroup in multiple myeloma

Sawyer, J R; Tian, E; Shaughnessy, J D; Epstein, J; Swanson, C M; Stangeby, C; Hale, C L; Parr, L; Lynn, M; Sammartino, G; Lukacs, J L; Stein, C; Bailey, C; Zangari, M; Davies, F E; Van Rhee, F; Barlogie, B; Morgan, G J
Hyperhaploid clones (24-34 chromosomes) were identified in 33 patients with multiple myeloma (MM), demonstrating a novel numerical cytogenetic subgroup. Strikingly, all hyperhaploid karyotypes were found to harbor monosomy 17p, the single most important risk stratification lesion in MM. A catastrophic loss of nearly a haploid set of chromosomes results in disomies of chromosomes 3, 5, 7, 9, 11, 15, 18, 19 and 21, the same basic set of odd-numbered chromosomes found in trisomy in hyperdiploid myeloma. All other autosomes are found in monosomy, resulting in additional clinically relevant monosomies of 1p, 6q, 13q and 16q. Hypotriploid subclones (58-68 chromosomes) were also identified in 11 of the 33 patients and represent a duplication of the hyperhaploid clone. Analysis of clones utilizing interphase fluorescence in situ hybridization (iFISH), metaphase FISH and spectral karyotyping identified either monosomy 17 or del17p in all patients. Amplification of 1q21 was identified in eight patients, demonstrating an additional high-risk marker. Importantly, our findings indicate that current iFISH strategies may be uninformative or ambiguous in the detection of these clones, suggesting this patient subgroup maybe underreported. Overall survival for patients with hyperhaploid clones was poor, with a 5-year survival rate of 23.1%. These findings identify a distinct numerical subgroup with cytogenetically defined high-risk disease.
PMCID:6005364
PMID: 27694925
ISSN: 1476-5551
CID: 3695292