| 1. |
- Campo, Chiara, et al.
(författare)
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Genetic Susceptibility to Bortezomib-Induced Peripheral Neuroropathy : Replication of the Reported Candidate Susceptibility Loci
- 2017
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Ingår i: Neurochemical Research. - : Springer Science and Business Media LLC. - 0364-3190 .- 1573-6903. ; 42:3, s. 925-931
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Tidskriftsartikel (refereegranskat)abstract
- The introduction of proteasome inhibitors in the treatment of multiple myeloma (MM) patients has been a therapeutic success. Peripheral neuropathy (PNP) remains one of the most frequent side-effects experienced by patients who receive these novel agents. Recent investigations on the mechanisms of PNP in patients treated with bortezomib have suggested genetic susceptibility to neurotoxicity. We used data from a genome-wide association study conducted on 646 bortezomib-treated German MM patients to replicate the previously reported associations between single-nucleotide polymorphisms (SNPs) in candidate genes and PNP in MM patients, including 298 SNPs with a nominal significance (p value <0.05). Twelve associations were confirmed at a significance level p value <0.05. The corresponding SNPs are located in genes involved in drug metabolism (ABCC1, ABCC6), development and function of the nervous system (POGZ, NFAT pathway, EDN1), modulation of immune responses (IL17RD, IL10RA) and the NF-κB signaling pathway (PSMB4, BTCR, F2). We systematically investigated functional consequences of those variants using several bioinformatics tools, such as HaploRegV4.1, RegulomeDB and UCSC Genome Browser. Expression quantitative trait loci (eQTL) data suggested that some of the identified SNPs might influence gene expression through a differential recruitment of transcription factors. In conclusion, we confirmed some of the recently reported associations between germline variation and PNP. Elucidating the mechanisms underlying these associations will contribute to the development of new strategies for the prevention or reduction of PNP.
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| 2. |
- Law, Philip J., et al.
(författare)
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Genome-wide association analysis of chronic lymphocytic leukaemia, Hodgkin lymphoma and multiple myeloma identifies pleiotropic risk loci
- 2017
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 7
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Tidskriftsartikel (refereegranskat)abstract
- B-cell malignancies (BCM) originate from the same cell of origin, but at different maturation stages and have distinct clinical phenotypes. Although genetic risk variants for individual BCMs have been identified, an agnostic, genome-wide search for shared genetic susceptibility has not been performed. We explored genome-wide association studies of chronic lymphocytic leukaemia (CLL, N = 1,842), Hodgkin lymphoma (HL, N = 1,465) and multiple myeloma (MM, N = 3,790). We identified a novel pleiotropic risk locus at 3q22.2 (NCK1, rs11715604, P = 1.60 × 10-9) with opposing effects between CLL (P = 1.97 × 10-8) and HL (P = 3.31 × 10-3). Eight established non-HLA risk loci showed pleiotropic associations. Within the HLA region, Ser37 + Phe37 in HLA-DRB1 (P = 1.84 × 10-12) was associated with increased CLL and HL risk (P = 4.68 × 10-12), and reduced MM risk (P = 1.12 × 10-2), and Gly70 in HLA-DQB1 (P = 3.15 × 10-10) showed opposing effects between CLL (P = 3.52 × 10-3) and HL (P = 3.41 × 10-9). By integrating eQTL, Hi-C and ChIP-seq data, we show that the pleiotropic risk loci are enriched for B-cell regulatory elements, as well as an over-representation of binding of key B-cell transcription factors. These data identify shared biological pathways influencing the development of CLL, HL and MM. The identification of these risk loci furthers our understanding of the aetiological basis of BCMs.
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| 3. |
- Li, Ni L., et al.
(författare)
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Genetic Predisposition to Multiple Myeloma at 5q15 Is Mediated by an ELL2 Enhancer Polymorphism
- 2017
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Ingår i: Cell Reports. - : Elsevier BV. - 2211-1247. ; 20:11, s. 2556-2564
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Tidskriftsartikel (refereegranskat)abstract
- Multiple myeloma (MM) is a malignancy of plasma cells. Genome-wide association studies have shown that variation at 5q15 influences MM risk. Here, we have sought to decipher the causal variant at 5q15 and the mechanism by which it influences tumorigenesis. We show that rs6877329 G > C resides in a predicted enhancer element that physically interacts with the transcription start site of ELL2. The rs6877329-C risk allele is associated with reduced enhancer activity and lowered ELL2 expression. Since ELL2 is critical to the B cell differentiation process, reduced ELL2 expression is consistent with inherited genetic variation contributing to arrest of plasma cell development, facilitating MM clonal expansion. These data provide evidence for a biological mechanism underlying a hereditary risk of MM at 5q15.
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| 4. |
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| 5. |
- Rasche, Leo, et al.
(författare)
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Low expression of hexokinase-2 is associated with false-negative FDG–positron emission tomography in multiple myeloma
- 2017
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Ingår i: Blood. - : American Society of Hematology. - 0006-4971 .- 1528-0020. ; 130:1, s. 30-34
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Tidskriftsartikel (refereegranskat)abstract
- 18F-Fluorodeoxyglucose (FDG)–positron emission tomography (PET) and diffusion-weighted magnetic resonance imaging with background signal suppression (DWIBS) are 2 powerful functional imaging modalities in the evaluation of malignant plasma cell (PC) disease multiple myeloma (MM). Preliminary observations have suggested that MM patients with extensive disease according to DWIBS may be reported as being disease-free on FDG-PET (“PET false-negative”). The aim of this study was to describe the proportion of PET false-negativity in a representative set of 227 newly diagnosed MM patients with simultaneous assessment of FDG-PET and DWIBS, and to identify tumor-intrinsic features associated with this pattern. We found the incidence of PET false-negativity to be 11%. Neither tumor load–associated parameters, such as degree of bone marrow PC infiltration, nor the PC proliferation rate were associated with this subset. However, the gene coding for hexokinase-2, which catalyzes the first step of glycolysis, was significantly lower expressed in PET false-negative cases (5.3-fold change, P < .001) which provides a mechanistic explanation for this feature. In conclusion, we demonstrate a relevant number of patients with FDG-PET false-negative MM and a strong association between hexokinase-2 expression and this negativity: a finding which may also be relevant for clinical imaging of other hematological cancers.
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| 6. |
- Thomsen, Hauke, et al.
(författare)
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Genomewide association study on monoclonal gammopathy of unknown significance (MGUS)
- 2017
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Ingår i: European Journal of Haematology. - : Wiley. - 0902-4441. ; 99:1, s. 70-79
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: To identify germ line variants contributing to the development of monoclonal gammopathy of undetermined significance (MGUS), an asymptomatic premalignant precursor for multiple myeloma (MM).METHODS: We conducted the first genomewide association study (GWAS) on MGUS on 243 German cases with a replication on 294 Czech cases. Identified loci were further analyzed in 1508 German MM patients. New MM loci recently reported in a meta-analysis were also tested in the MGUS GWAS.RESULTS: In GWAS, we identified 10 loci contributing to development of MGUS at P-value threshold of 10-5 . The Czech cohort gave support for two associations (6q26, rs6933936; 7p21.3 rs10251201). In GWAS, rs974120 (8p23.2) reached genomewide significance (P=2.94×10-9 ), with a nominal significance in MM. The locus of rs974120 shows marks of transcriptional activity in leukemia according to ENCODE data. rs10251201 (7p21.3), rs9318227 (13q22.1), and rs10405859 (19q13.32) were associated with markers related to leukemogenesis and immune and inflammatory responses. Two newly identified candidate loci for MM, rs1948915 (8q24.21) and rs8058578 (16p11.2), were nominally associated with MGUS.CONCLUSIONS: These data allow a cautious first proposal for a germ line architecture of MGUS with links to leukemia and autoimmune conditions, the latter agreeing with a family study showing clustering of MGUS with autoimmune diseases.
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