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Boyle EM, Davies FE, Leleu X, Morgan GJ. Understanding the multiple biological aspects leading to myeloma. Haematologica 2015; 99:605-12. [PMID: 24688108 DOI: 10.3324/haematol.2013.097907] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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Goreczny S, Qureshi S, Rosenthal E, Krasemann T, Bedair R, Salih C, Austin C, Anderson D, Morgan GJ. Self-expanding stent implantation in arterial duct during hybrid palliation of hypoplastic left heart syndrome: midterm experience with a specially designed stent. EUROINTERVENTION 2015; 10:1318-25. [DOI: 10.4244/eijy15m01_08] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Brioli A, Perrone G, Patriarca F, Pezzi A, Nobile F, Ballerini F, Motta MR, Ronconi S, Tacchetti P, Catalano L, Zannetti BA, Rizzi S, Volpe S, Zamagni E, Liberati AM, Mancuso K, Boccadoro M, Davies FE, Morgan GJ, Palumbo A, Cavo M. Successful mobilization of PBSCs predicts favorable outcomes in multiple myeloma patients treated with novel agents and autologous transplantation. Bone Marrow Transplant 2015; 50:673-8. [DOI: 10.1038/bmt.2014.322] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2014] [Revised: 11/29/2014] [Accepted: 12/02/2014] [Indexed: 01/08/2023]
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Andersen JP, Bøgsted M, Dybkær K, Mellqvist UH, Morgan GJ, Goldschmidt H, Dimopoulos MA, Einsele H, San Miguel J, Palumbo A, Sonneveld P, Johnsen HE. Global myeloma research clusters, output, and citations: a bibliometric mapping and clustering analysis. PLoS One 2015; 10:e0116966. [PMID: 25629620 PMCID: PMC4309532 DOI: 10.1371/journal.pone.0116966] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 12/16/2014] [Indexed: 12/04/2022] Open
Abstract
Background International collaborative research is a mechanism for improving the development of disease-specific therapies and for improving health at the population level. However, limited data are available to assess the trends in research output related to orphan diseases. Methods and Findings We used bibliometric mapping and clustering methods to illustrate the level of fragmentation in myeloma research and the development of collaborative efforts. Publication data from Thomson Reuters Web of Science were retrieved for 2005–2009 and followed until 2013. We created a database of multiple myeloma publications, and we analysed impact and co-authorship density to identify scientific collaborations, developments, and international key players over time. The global annual publication volume for studies on multiple myeloma increased from 1,144 in 2005 to 1,628 in 2009, which represents a 43% increase. This increase is high compared to the 24% and 14% increases observed for lymphoma and leukaemia. The major proportion (>90% of publications) was from the US and EU over the study period. The output and impact in terms of citations, identified several successful groups with a large number of intra-cluster collaborations in the US and EU. The US-based myeloma clusters clearly stand out as the most productive and highly cited, and the European Myeloma Network members exhibited a doubling of collaborative publications from 2005 to 2009, still increasing up to 2013. Conclusion and Perspective Multiple myeloma research output has increased substantially in the past decade. The fragmented European myeloma research activities based on national or regional groups are progressing, but they require a broad range of targeted research investments to improve multiple myeloma health care.
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Pawlyn C, Kaiser MF, Davies FE, Morgan GJ. Current and potential epigenetic targets in multiple myeloma. Epigenomics 2015; 6:215-28. [PMID: 24811790 DOI: 10.2217/epi.14.12] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Despite recent advances in therapy, subgroups of multiple myeloma continue to have a poor prognosis. Numerous epigenetic changes have been described and occur as both etiologic and secondary events, making myeloma a good disease in which to understand the role of epigenetic therapies. Here, we describe a number of current and potential epigenetic targets in myeloma.
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Morgan GJ, Qureshi SA. Interventional Cardiology. CONGENIT HEART DIS 2015. [DOI: 10.1159/000375225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Weinhold N, Meissner T, Johnson DC, Seckinger A, Moreaux J, Försti A, Chen B, Nickel J, Chubb D, Rawstron AC, Doughty C, Dahir NB, Begum DB, Young K, Walker BA, Hoffmann P, Nöthen MM, Davies FE, Klein B, Goldschmidt H, Morgan GJ, Houlston RS, Hose D, Hemminki K. The 7p15.3 (rs4487645) association for multiple myeloma shows strong allele-specific regulation of the MYC-interacting gene CDCA7L in malignant plasma cells. Haematologica 2014; 100:e110-3. [PMID: 25480495 DOI: 10.3324/haematol.2014.118786] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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Morgan GJ, van Rhee F. Haematological cancer: Optimizing the treatment of multiple myeloma. Nat Rev Clin Oncol 2014; 11:686-8. [PMID: 25348792 DOI: 10.1038/nrclinonc.2014.185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Boyle EM, Proszek PZ, Kaiser MF, Begum D, Dahir N, Savola S, Wardell CP, Leleu X, Ross FM, Chiecchio L, Cook G, Drayson MT, Owen RG, Ashcroft JM, Jackson GH, Anthony Child J, Davies FE, Walker BA, Morgan GJ. A molecular diagnostic approach able to detect the recurrent genetic prognostic factors typical of presenting myeloma. Genes Chromosomes Cancer 2014; 54:91-8. [PMID: 25287954 PMCID: PMC4310140 DOI: 10.1002/gcc.22222] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Accepted: 09/11/2014] [Indexed: 02/02/2023] Open
Abstract
Risk stratification in myeloma requires an accurate assessment of the presence of a range of molecular abnormalities including the differing IGH translocations and the recurrent copy number abnormalities that can impact clinical behavior. Currently, interphase fluorescence in situ hybridization is used to detect these abnormalities. High failure rates, slow turnaround, cost, and labor intensiveness make it difficult and expensive to use in routine clinical practice. Multiplex ligation-dependent probe amplification (MLPA), a molecular approach based on a multiplex polymerase chain reaction method, offers an alternative for the assessment of copy number changes present in the myeloma genome. Here, we provide evidence showing that MLPA is a powerful tool for the efficient detection of copy number abnormalities and when combined with expression assays, MLPA can detect all of the prognostically relevant molecular events which characterize presenting myeloma. This approach opens the way for a molecular diagnostic strategy that is efficient, high throughput, and cost effective.
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Bright MD, Wardell CP, Itzhak DN, Bagratuni T, Morgan GJ, Davies FE. Abstract 469: Regulated IRE1-dependent mRNA decay occurs under extreme proteotoxic stress in myeloma, but not under conditions that would affect therapeutic targeting of IRE1α. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Many secretory cancers rely on cellular mechanisms such as the unfolded protein response (UPR) to survive under conditions that lead to proteotoxic stress. Multiple myeloma (MM) is a plasma cell malignancy that is particularly reliant on this pathway as it controls cell survival under proteotoxic stress. One branch of the UPR is IRE1α, a receptor in the endoplasmic reticulum (ER) membrane that senses misfolded protein and stimulates cell adaptation and survival under proteotoxic stress. The ribonuclease domain of IRE1α cleaves XBP1 mRNA, which is ligated to code for the active transcription factor XBP1s. IRE1α also cleaves other mRNAs resulting in their degradation, termed regulated IRE1α-dependent mRNA decay (RIDD). While IRE1α is a potential therapeutic target in MM and other secretory cancers, little is known about the role of RIDD in malignancy. We set out to determine whether RIDD occurs in MM, and how it would contribute to the mechanism of IRE1-targeting therapeutics. We cross-referenced published expression data to identify consistent RIDD targets and found that 11 transcripts were regulated by RIDD in more than one experimental system. To determine if these were RIDD targets in MM, cell lines were treated with DTT to induce strong proteotoxic stress in the presence or absence of an IRE1α RNAse inhibitor. Transcripts were measured using qPCR. Only BLOC1S1 was regulated by RIDD in this system. Interestingly, BLOC1S1 was only degraded after complete splicing of XBP1 mRNA, suggesting that RIDD occurs when a cell has exhausted its natural substrate and not recovered from ER-stress. Importantly, using bioinformatic analysis we identified a conserved stem loop structure in BLOC1S1 that may be cleaved by IRE1α, adding further weight to its potential as a RIDD target. The effect of mutation of this stem loop to an IRE1-resistant form was analysed. In order to determine the clinical significance of RIDD, we tested whether RIDD occurred as a consequence of drug treatment. A standard treatment for MM, that is believed to induce ER-stress, is the proteasome inhibitor Bortezomib. To test whether this treatment might induce RIDD, MM cell lines were treated with a timecourse of Bortezomib and BLOC1S1 mRNA was measured. Bortezomib did not induce BLOC1S1 degradation, and hence RIDD. Finally, in order to assess whether RIDD occurs in MM patients, we used data from primary patient cells from over 250 patients and correlated expression of conserved RIDD target genes with the ratio of spliced to unspliced XBP1 mRNA (XBP1s/u), as a measure of IRE1α activity. No correlation was found, suggesting that RIDD is not present in clinical samples. Taken together, these data suggest that while RIDD occurs under extreme stress in MM cells in vitro, it is not clinically significant in this disease. Therefore, RIDD should not affect the action of IRE1α-targeting therapeutics in MM or other secretory cancers.
Citation Format: Michael D. Bright, Christopher P. Wardell, Daniel N. Itzhak, Tina Bagratuni, Gareth J. Morgan, Faith E. Davies. Regulated IRE1-dependent mRNA decay occurs under extreme proteotoxic stress in myeloma, but not under conditions that would affect therapeutic targeting of IRE1α. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 469. doi:10.1158/1538-7445.AM2014-469
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Wu P, Walker BA, Broyl A, Kaiser M, Johnson DC, Kuiper R, van Duin M, Gregory WM, Davies FE, Brewer D, Hose D, Sonneveld P, Morgan GJ. A gene expression based predictor for high risk myeloma treated with intensive therapy and autologous stem cell rescue. Leuk Lymphoma 2014; 56:594-601. [PMID: 24913504 PMCID: PMC4444991 DOI: 10.3109/10428194.2014.911863] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Myeloma is characterized by a highly variable clinical outcome. Despite the effectiveness of high-dose therapy, 15% of patients relapse within 1 year. We show that these cases also have a significantly shorter post-relapse survival compared to the others (median 14.9 months vs. 40 months, p = 8.03 × 10− 14). There are no effective approaches to define this potentially distinct biological group such that treatment could be altered. In this work a series of uniformly treated patients with myeloma were used to develop a gene expression profiling (GEP)-based signature to identify this high risk clinical behavior. Gene enrichment analyses applied to the top differentially expressed genes showed a significant enrichment of epigenetic regulators as well as “stem cell” myeloma genes. A derived 17-gene signature effectively identifies patients at high risk of early relapse as well as impaired overall survival. Integrative genomic analyses showed that epigenetic mechanisms may play an important role on transcription of these genes.
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Dimopoulos MA, Leleu X, Palumbo A, Moreau P, Delforge M, Cavo M, Ludwig H, Morgan GJ, Davies FE, Sonneveld P, Schey SA, Zweegman S, Hansson M, Weisel K, Mateos MV, Facon T, Miguel JFS. Expert panel consensus statement on the optimal use of pomalidomide in relapsed and refractory multiple myeloma. Leukemia 2014; 28:1573-85. [PMID: 24496300 PMCID: PMC4131249 DOI: 10.1038/leu.2014.60] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Revised: 01/16/2014] [Accepted: 01/21/2014] [Indexed: 11/24/2022]
Abstract
In this report, a panel of European myeloma experts discuss the role of pomalidomide in the treatment of relapsed and refractory multiple myeloma (RRMM). Based on the available evidence, the combination of pomalidomide and low-dose dexamethasone is a well-tolerated and effective treatment option for patients with RRMM who have exhausted treatment with lenalidomide and bortezomib. The optimal starting dose of pomalidomide is 4 mg given on days 1-21 of each 28-day cycle, whereas dexamethasone is administered at a dose of 40 mg weekly (reduced to 20 mg for patients aged >75 years). The treatment should continue until evidence of disease progression or unacceptable toxicity. Dose-modification schemes have been established for patients who develop neutropenia, thrombocytopaenia and other grade 3-4 adverse events during pomalidomide therapy. Guidance on the prevention and management of infections and venous thromboembolism is provided, based on the available clinical evidence and the experience of panel members. The use of pomalidomide in special populations, such as patients with advanced age, renal impairment or unfavourable cytogenetic features, is also discussed.
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Mirabella F, Murison A, Aronson LI, Wardell CP, Thompson AJ, Hanrahan SJ, Fok JHL, Pawlyn C, Kaiser MF, Walker BA, Davies FE, Morgan GJ. A novel functional role for MMSET in RNA processing based on the link between the REIIBP isoform and its interaction with the SMN complex. PLoS One 2014; 9:e99493. [PMID: 24923560 PMCID: PMC4055699 DOI: 10.1371/journal.pone.0099493] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2014] [Accepted: 05/15/2014] [Indexed: 11/18/2022] Open
Abstract
The chromosomal translocation t(4;14) deregulates MMSET (WHSC1/NSD2) expression and is a poor prognostic factor in multiple myeloma (MM). MMSET encodes two major protein isoforms. We have characterized the role of the shorter isoform (REIIBP) in myeloma cells and identified a clear and novel interaction of REIIBP with members of the SMN (survival of motor neuron) complex that directly affects the assembly of the spliceosomal ribonucleic particles. Using RNA-seq we show that REIIBP influences the RNA splicing pattern of the cell. This new discovery provides novel insights into the understanding of MM pathology, and potential new leads for therapeutic targeting.
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Giles SL, Messiou C, Collins DJ, Morgan VA, Simpkin CJ, West S, Davies FE, Morgan GJ, deSouza NM. Whole-body diffusion-weighted MR imaging for assessment of treatment response in myeloma. Radiology 2014; 271:785-94. [PMID: 24475858 DOI: 10.1148/radiol.13131529] [Citation(s) in RCA: 146] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE To determine the feasibility of whole-body diffusion-weighted (DW) magnetic resonance (MR) imaging for assessment of treatment response in myeloma. MATERIALS AND METHODS This prospective single-institution study was HIPAA-compliant with local research ethics committee approval. Written informed consent was obtained from each subject. Eight healthy volunteers (cohort 1a) and seven myeloma patients (cohort 1b) were imaged twice to assess repeatability of quantitative apparent diffusion coefficient (ADC) estimates. Thirty-four additional myeloma patients (cohort 2) underwent whole-body DW imaging before treatment; 26 completed a posttreatment imaging. Whole-body DW data were compared before and after treatment by using qualitative (ie, observer scores) and quantitative (ie, whole-body segmentation of marrow ADC) methods. Serum paraproteins and/or light chains or bone marrow biopsy defined response. RESULTS Whole-body DW imaging scores were significantly different between observers (P < .001), but change in scores between observers after treatment was not (P = .49). Sensitivity and specificity for detecting response according to observer scores were 86% (18 of 21 patients) and 80% (4 of 5 patients) for both observers. ADC measurement was repeatable: mean coefficient of variation was 3.8% in healthy volunteers and 2.8% in myeloma patients. Pretreatment ADC in cohort 2 was significantly different from that in cohort 1a (P = .03), but not from that in cohort 1b (P = .2). Mean ADC increased in 95% (19 of 20) of responding patients and decreased in all (five of five) nonresponders (P = .002). A 3.3% increase in ADC helped identify response with 90% sensitivity and 100% specificity; an 8% increase (greater than repeatability of cohort 1b) resulted in 70% sensitivity and 100% specificity. There was a significant negative correlation between change in ADC and change in laboratory markers of response (r = -0.614; P = .001). CONCLUSION Preliminary work demonstrates whole-body DW imaging is a repeatable, quantifiable technique for assessment of treatment response in myeloma.
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Pawlyn C, Davies FE, Cairns DA, Gregory W, Quartilho A, Ouzman J, Howard HC, Collett C, Lindsay J, Cook G, Milligan D, Chapman C, Allotey D, Owen RG, Drayson M, Russell N, Jackson GH, Morgan GJ. Optimizing induction and pretransplant consolidation for myeloma: Results of Myeloma XI, a phase III trial comparing different IMiDs. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.8537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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241
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Morgan GJ, San Miguel J, Dhanasiri S, Lee D, Palumbo A, Facon T, Zaki MH, Yu X, Sternas LA, Jacques C, Weisel KC, Offner F, Dimopoulos MA. Pomalidomide plus low-dose dexamethasone (POM plus LoDEX) versus high-dose dexamethasone (HiDEX) for relapsed or refractory multiple myeloma (RRMM): Overall survival (OS) results of MM-003 after adjustment for crossover. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.8593] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Auner HW, Szydlo R, Hoek J, Goldschmidt H, Blaise D, Morgan GJ, Moreau P, Attal M, Milpied NJ, Russell N, Brune M, Cook G, Sonneveld P, Schoenland S, Garderet L, Kroeger N. Age-related trends in utilization and outcome of autologous haematopoietic cell transplantation for multiple myeloma. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.8592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Dimopoulos MA, Weisel KC, Cavo M, Corradini P, Delforge M, Morgan GJ, Hansson M, Palumbo A, Ocio EM, Simcock M, Miller N, Slaughter A, Leupin N, Nikolova ZG, Moreau P. The STRATUS trial (MM-010): A single-arm phase 3b study of pomalidomide plus low-dose dexamethasone (POM + LoDEX) in refractory or relapsed and refractory multiple myeloma. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.tps8625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Weinhold N, Johnson DC, Rawstron AC, Försti A, Doughty C, Vijayakrishnan J, Broderick P, Dahir NB, Begum DB, Hosking FJ, Yong K, Walker BA, Hoffmann P, Mühleisen TW, Langer C, Dörner E, Jöckel KH, Eisele L, Nöthen MM, Hose D, Davies FE, Goldschmidt H, Morgan GJ, Hemminki K, Houlston RS. Inherited genetic susceptibility to monoclonal gammopathy of unknown significance. Blood 2014; 123:2513-7; quiz 2593. [PMID: 24449210 DOI: 10.1182/blood-2013-10-532283] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Monoclonal gammopathy of undetermined significance (MGUS) is present in ∼2% of individuals age >50 years. The increased risk of multiple myeloma (MM) in relatives of individuals with MGUS is consistent with MGUS being a marker of inherited genetic susceptibility to MM. Common single-nucleotide polymorphisms (SNPs) at 2p23.3 (rs6746082), 3p22.1 (rs1052501), 3q26.2 (rs10936599), 6p21.33 (rs2285803), 7p15.3 (rs4487645), 17p11.2 (rs4273077), and 22q13.1 (rs877529) have recently been shown to influence MM risk. To examine the impact of these 7 SNPs on MGUS, we analyzed two case-control series totaling 492 cases and 7306 controls. Each SNP independently influenced MGUS risk with statistically significant associations (P < .02) for rs1052501, rs2285803, rs4487645, and rs4273077. SNP associations were independent, with risk increasing with a larger number of risk alleles carried (per allele odds ratio, 1.18; P < 10(-7)). Collectively these data are consistent with a polygenic model of disease susceptibility to MGUS.
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Jackson GH, Morgan GJ, Davies FE, Wu P, Gregory WM, Bell SE, Szubert AJ, Navarro Coy N, Drayson MT, Owen RG, Feyler S, Ashcroft AJ, Ross FM, Byrne J, Roddie H, Rudin C, Boyd KD, Osborne WL, Cook G, Child JA. Osteonecrosis of the jaw and renal safety in patients with newly diagnosed multiple myeloma: Medical Research Council Myeloma IX Study results. Br J Haematol 2014; 166:109-17. [PMID: 24673708 DOI: 10.1111/bjh.12861] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Accepted: 01/22/2014] [Indexed: 11/28/2022]
Abstract
Bisphosphonates are recommended in patients with osteolytic lesions secondary to multiple myeloma. We report on the safety of bisphosphonate therapy with long-term follow-up in the Medical Research Council Myeloma IX study. Patients with newly diagnosed multiple myeloma were randomised to zoledronic acid (ZOL; 4 mg intravenously every 21-28 d) or clodronate (CLO; 1600 mg/d orally) plus chemotherapy. Among 1960 patients (5.9-year median follow-up), both bisphosphonates were well tolerated. Acute renal failure events were similar between groups (ZOL 5.2% vs. CLO 5.8% at 2 years; incidence plateaued thereafter). The overall incidence of confirmed osteonecrosis of the jaw (ONJ) was low, but higher with ZOL (ZOL 3.7% vs. CLO 0.5%; P < 0.0001). ONJ events were generally low grade and most occurred between 8 and 30 months (median time to ONJ, 23.7 months). Among 10 patients with ONJ recovery data, four patients in the ZOL group completely recovered, two patients improved, and three patients experienced no improvement; one CLO patient experienced no improvement. Dental surgery or trauma preceded ONJ in six ZOL patients. The incidence of renal adverse events was similar for ZOL and CLO. ONJ incidence remained low and was lower with CLO compared to ZOL. We have seen no further ONJ cases to date.
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Walker BA, Wardell CP, Brioli A, Boyle E, Kaiser MF, Begum DB, Dahir NB, Johnson DC, Ross FM, Davies FE, Morgan GJ. Translocations at 8q24 juxtapose MYC with genes that harbor superenhancers resulting in overexpression and poor prognosis in myeloma patients. Blood Cancer J 2014; 4:e191. [PMID: 24632883 PMCID: PMC3972699 DOI: 10.1038/bcj.2014.13] [Citation(s) in RCA: 123] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Accepted: 02/06/2014] [Indexed: 02/06/2023] Open
Abstract
Secondary MYC translocations in myeloma have been shown to be important in the pathogenesis and progression of disease. Here, we have used a DNA capture and massively parallel sequencing approach to identify the partner chromosomes in 104 presentation myeloma samples. 8q24 breakpoints were identified in 21 (20%) samples with partner loci including IGH, IGK and IGL, which juxtapose the immunoglobulin (Ig) enhancers next to MYC in 8/23 samples. The remaining samples had partner loci including XBP1, FAM46C, CCND1 and KRAS, which are important in B-cell maturation or myeloma pathogenesis. Analysis of the region surrounding the breakpoints indicated the presence of superenhancers on the partner chromosomes and gene expression analysis showed increased expression of MYC in these samples. Patients with MYC translocations had a decreased progression-free and overall survival. We postulate that translocation breakpoints near MYC result in colocalization of the gene with superenhancers from loci, which are important in the development of the cell type in which they occur. In the case of myeloma these are the Ig loci and those important for plasma cell development and myeloma pathogenesis, resulting in increased expression of MYC and an aggressive disease phenotype.
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Brioli A, Melchor L, Cavo M, Morgan GJ. The impact of intra-clonal heterogeneity on the treatment of multiple myeloma. Br J Haematol 2014; 165:441-54. [DOI: 10.1111/bjh.12805] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Brioli A, Melchor L, Cavo M, Morgan GJ. The impact of intra-clonal heterogeneity on the treatment of multiple myeloma. Br J Haematol 2014; 55:2665-8. [PMID: 24580032 DOI: 10.3109/10428194.2014.900765] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
It is clear that cancers comprise a mixture of clones, a feature termed intra-clonal heterogeneity, that compete for spatial and nutritional resources in a fashion that leads to disease progression and therapy resistance. This process of competition resembles the schema proposed by Darwin to explain the origin of the species, and applying these evolutionary biology concepts to cancer has the potential to improve our treatment strategies. Multiple myeloma (MM) has a unique set of characteristics that makes it a perfect model in which to study the presence of intra-clonal heterogeneity and its impact on therapy. Novel therapies have improved the outcome of MM patients, increasing both progression-free and overall survival. Current therapy comprises an induction, consolidation and maintenance phases and it is important to consider how these components of MM therapy are affected by the presence of intra-clonal heterogeneity. In this evolutionary context therapy can be considered as a selective pressure differentially acting on the myeloma clones and impacting on their chances of survival. In this review current knowledge of intra-clonal heterogeneity, as well as its impact on the different components of MM treatment is discussed.
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Morgan GJ, Johnson DC, Weinhold N, Goldschmidt H, Landgren O, Lynch HT, Hemminki K, Houlston RS. Inherited genetic susceptibility to multiple myeloma. Leukemia 2014; 28:518-24. [PMID: 24247655 DOI: 10.1038/leu.2013.344] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 10/15/2013] [Accepted: 10/17/2013] [Indexed: 12/29/2022]
Abstract
Although the familial clustering of multiple myeloma (MM) supports the role of inherited susceptibility, only recently has direct evidence for genetic predisposition been demonstrated. A meta-analysis of two genome-wide association (GWA) studies has identified single-nucleotide polymorphisms (SNPs) localising to a number of genomic regions that are robustly associated with MM risk. In this review, we provide an overview of the evidence supporting a genetic contribution to the predisposition to MM and MGUS (monoclonal gammopathy of unknown significance), and the insight this gives into the biological basis of disease aetiology. We also highlight the promise of future approaches to identify further specific risk factors and their potential clinical utility.
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Rawstron AC, Child JA, de Tute RM, Davies FE, Gregory WM, Bell SE, Szubert AJ, Navarro Coy N, Drayson MT, Feyler S, Ross FM, Cook G, Jackson GH, Morgan GJ, Owen RG. Reply to M. Roschewski et al. J Clin Oncol 2014; 32:476-7. [PMID: 24419132 DOI: 10.1200/jco.2013.53.0980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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