Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0026764 (multiple myeloma)
 36,148 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Epigenetic deregulation of gene expression has a role in the initiation and progression of prostate cancer (PCa). The histone methyltransferase MMSET/WHSC1 (Multiple Myeloma SET domain) is overexpressed in a number of metastatic tumors, but its mechanism of action has not been defined. In this work, we found that PCa cell lines expressed significantly higher levels of MMSET compared with immortalized, non-transformed prostate cells. Knockdown experiments showed that, in metastatic PCa cell lines, dimethylation of lysine 36 and trimethylation of lysine 27 on histone H3 (H3K36me2 and H3K27me3, respectively) depended on MMSET expression, whereas depletion of MMSET in benign prostatic cells did not affect chromatin modifications. Knockdown of MMSET in DU145 and PC-3 tumor cells decreased cell proliferation, colony formation in soft agar and strikingly diminished cell migration and invasion. Conversely, overexpression of MMSET in immortalized, non-transformed RWPE-1 cells promoted cell migration and invasion, accompanied by an epithelial-mesenchymal transition (EMT). Among a panel of EMT-promoting genes analyzed, TWIST1 expression was strongly activated in response to MMSET. Chromatin immunoprecipitation analysis demonstrated that MMSET binds to the TWIST1 locus and leads to an increase in H3K36me2, suggesting a direct role of MMSET in the regulation of this gene. Depletion of TWIST1 in MMSET-overexpressing RWPE-1 cells blocked cell invasion and EMT, indicating that TWIST1 was a critical target of MMSET, responsible for the acquisition of an invasive phenotype. Collectively, these data suggest that MMSET has a role in PCa pathogenesis and progression through epigenetic regulation of metastasis-related genes.
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PMID:The histone methyltransferase MMSET/WHSC1 activates TWIST1 to promote an epithelial-mesenchymal transition and invasive properties of prostate cancer. 2279 64

We have developed a targeted method to quantify all combinations of methylation on an H3 peptide containing lysines 27 and 36 (H3K27-K36). By using stable isotopes that separately label the histone backbone and its methylations, we tracked the rates of methylation and demethylation in myeloma cells expressing high vs. low levels of the methyltransferase MMSET/WHSC1/NSD2. Following quantification of 99 labeled H3K27-K36 methylation states across time, a kinetic model converged to yield 44 effective rate constants qualifying each methylation and demethylation step as a function of the methylation state on the neighboring lysine. We call this approach MS-based measurement and modeling of histone methylation kinetics (M4K). M4K revealed that, when dimethylation states are reached on H3K27 or H3K36, rates of further methylation on the other site are reduced as much as 100-fold. Overall, cells with high MMSET have as much as 33-fold increases in the effective rate constants for formation of H3K36 mono- and dimethylation. At H3K27, cells with high MMSET have elevated formation of K27me1, but even higher increases in the effective rate constants for its reversal by demethylation. These quantitative studies lay bare a bidirectional antagonism between H3K27 and H3K36 that controls the writing and erasing of these methylation marks. Additionally, the integrated kinetic model was used to correctly predict observed abundances of H3K27-K36 methylation states within 5% of that actually established in perturbed cells. Such predictive power for how histone methylations are established should have major value as this family of methyltransferases matures as drug targets.
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PMID:Total kinetic analysis reveals how combinatorial methylation patterns are established on lysines 27 and 36 of histone H3. 2286 45

Multiple myeloma (MM) represents the malignant proliferation of terminally differentiated B cells, which, in many cases, is associated with the maintenance of high levels of the oncoprotein c-MYC. Overexpression of the histone methyltransferase MMSET (WHSC1/NSD2), due to t(4;14) chromosomal translocation, promotes the proliferation of MM cells along with global changes in chromatin; nevertheless, the precise mechanisms by which MMSET stimulates neoplasia remain incompletely understood. We found that MMSET enhances the proliferation of MM cells by stimulating the expression of c-MYC at the post-transcriptional level. A microRNA (miRNA) profiling experiment in t(4;14) MM cells identified miR-126* as an MMSET-regulated miRNA predicted to target c-MYC mRNA. We show that miR-126* specifically targets the 3'-untranslated region (3'-UTR) of c-MYC, inhibiting its translation and leading to decreased c-MYC protein levels. Moreover, the expression of this miRNA was sufficient to decrease the proliferation rate of t(4;14) MM cells. Chromatin immunoprecipitation analysis showed that MMSET binds to the miR-126* promoter along with the KAP1 corepressor and histone deacetylases, and is associated with heterochromatic modifications, characterized by increased trimethylation of H3K9 and decreased H3 acetylation, leading to miR-126* repression. Collectively, this study shows a novel mechanism that leads to increased c-MYC levels and enhanced proliferation of t(4;14) MM, and potentially other cancers with high MMSET expression.
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PMID:MMSET stimulates myeloma cell growth through microRNA-mediated modulation of c-MYC. 2297 34

Recent advances in multiple myeloma (MM) therapy have led to significantly longer median survival rates and some patients being cured. At the same time, our understanding of MM biology and the molecular mechanisms driving the disease is constantly improving. Next-generation sequencing technologies now allow insights into the genetic aberrations in MM at a genome-wide scale and across different developmental stages in the course of an individual tumor. This improved knowledge about MM biology needs to be rapidly translated and transformed into diagnostic and therapeutic applications to finally achieve cure in a larger proportion of patients. As a part of these translational efforts, novel drugs that inhibit oncogenic proteins overexpressed in defined molecular subgroups of the disease, such as FGFR3 and MMSET in t(4;14) MM, are currently being developed. The potential of targeted next-generation diagnostic tests to rapidly identify clinically relevant molecular subgroups is being evaluated. The technical tools to detect and define tumor subclones may potentially become clinically relevant because intraclonal tumor heterogeneity has become apparent in many cancers. The emergence of different MM subclones under the selective pressure of treatment is important in MM, especially in the context of maintenance therapy and treatment for asymptomatic stages of the disease. Finally, novel diagnostic and therapeutic achievements have to be implemented into innovative clinical trial strategies with smaller trials for molecularly defined high-risk patients and large trials with a long follow-up for the patients most profiting from the current treatment protocols. These combined approaches will hopefully transform the current one-for-all care into a more tailored, individual therapeutic strategy for MM patients.
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PMID:How to use new biology to guide therapy in multiple myeloma. 2323 2

Multiple myeloma (MM) is a plasma cell malignancy and the second most common hematologic cancer. MM is characterized by the accumulation of malignant plasma cells within the bone marrow, and presents clinically with a broad range of symptoms, including hypercalcemia, renal insufficiency, anemia, and lytic bone lesions. MM is a heterogeneous disease associated with genomic instability, where patients may express multiple genetic abnormalities that affect several oncogenic pathways. Commonly detected genetic aberrations are translocations involving immunoglobulin heavy chain (IgH) switch regions (chromosome 14q32) and oncogenes such as c-maf [t(14:16)], cyclin D1 [t(11:14)], and FGFR3/MMSET [t(4:14)]. Advances in the basic understanding of MM and the development of novel agents, such as the immunomodulatory drugs (IMiDs) thalidomide and lenalidomide and the proteasome inhibitor bortezomib, have increased therapeutic response rates and prolonged patient survival. Despite these advances MM remains incurable in the majority of patients, and it is therefore critical to identify additional therapeutic strategies and targets for its treatment. In this chapter, we review the underlying genetic components of MM and discuss the results of recent clinical trials that demonstrate the effectiveness of targeted agents in the management of MM. In addition, we discuss experimental therapies that are currently in clinical development along with their molecular rationale in the treatment of MM.
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PMID:Targeted therapy of multiple myeloma. 2328 41

Multiple myeloma can be categorized into hyperdiploid or non-hyperdiploid myeloma based on the number of chromosomes found in the tumor clone. Among the non-hyperdiploid myelomas, the hypodiploid subtype has the most aggressive clinical phenotype, but the genetic differences between groups are not completely defined. In order to understand the genetic background of hypodiploid multiple myeloma better, we compared the genomic (array-based comparative genomic hybridization) and transcriptomic (gene expression profiling) background of 49 patients with hypodiploid myeloma with 50 other non-hyperdiploid and 125 hyperdiploid myeloma patients. There were significant chromosomal and gene expression differences between hyperdiploid patients and non-hyperdiploid and hypodiploid patients. Non-hyperdiploid and hypodiploid patients shared most of the chromosomal abnormalities; nevertheless a subset of these abnormalities, such as monosomies 13, 14 and 22, was markedly increased in hypodiploid patients. Furthermore, deletions of 1p, 12p, 16q and 17p, all associated with poor outcome or progression in multiple myeloma, were significantly enriched in hypodiploid patients. Molecular risk-stratification indices reinforce the worse prognosis associated with hypodiploid multiple myeloma compared with non-hyperdiploid multiple myeloma. Gene expression profiling clustered hypodiploid and non-hyperdiploid subgroups closer than hyperdiploid myeloma but also highlighted the up-regulation of CCND2, WHSC1/MMSET and FGFR3 in the hypodiploid subtype. In summary, hypodiploid multiple myeloma is genetically similar to non-hyperdiploid multiple myeloma but characterized by a higher prevalence of genetic alterations associated with poor outcome and disease progression. It is provocative to hypothesize that hypodiploid multiple myeloma is an advanced stage of non-hyperdiploid multiple myeloma.
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PMID:Hypodiploid multiple myeloma is characterized by more aggressive molecular markers than non-hyperdiploid multiple myeloma. 2371 45

In this study, we have identified the growth factors supporting myeloma self-renewal in eight myeloma cell lines. All cell lines able to form self-colonies displayed constitutive P-AKT and P-ERK1,2 but not P-STAT3 and did not express CD45, suggesting the presence of an insulin-like growth factor 1 (IGF1) loop. We showed that a blocking anti-insulin-like growth factor 1 receptor (IGF1R) monoclonal antibody (mAb) inhibited colony formation in correlation with IGF1R expression and decreased P-AKT. Imatinib or a blocking anti-stem cell factor (SCF) mAb also inhibited colony formation of two cell lines expressing C-KIT and SCF, and decreased P-AKT. Moreover, the PI3K/AKT pathway inhibitor wortmannin inhibited colony formation. Blocking interleukin (IL)6R did not inhibit colony formation in good agreement with a lack of constitutive P-STAT3. We showed that primary cells frequently co-expressed IGF1R/IGF1 but not C-KIT/SCF or IL6R/IL6, suggesting that in vivo autonomous growth could be possible via IGF1R. Despite their similar role in clonogenic growth and shared signaling pathway, IGF1R and C-KIT had opposite prognostic values, suggesting that they were surrogate markers. Indeed, we showed that both C-KIT and IGF1R prognostic values were not independent of MMSET expression. This study highlights the autocrine role of IGF1 in myeloma cells and reinforces the interest in targeting IGF1R in IGFR1(+) CD45(+/-) patients, such as MMSET(+) patients.
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PMID:Autocrine insulin-like growth factor 1 and stem cell factor but not interleukin 6 support self-renewal of human myeloma cells. 2374 45

Multiple myeloma (MM) is characterized by recurrent chromosomal translocations. MMSET, identified by its fusion to the IgH locus in t(4;14) MM, is universally overexpressed in t(4;14) MM. In order to identify cell surface biomarkers associated with t(4;14) MM for small molecule or antibody based therapies, we knocked down MMSET expression with shRNA and generated a cell line pair from KMS11, a t(4;14) MM cell line. We used quantitative mass spectrometry to identify plasma membrane proteins associated with MMSET overexpression. Using this approach, 50 cell surface proteins were identified as differentially expressed between KMS11 and KMS11/shMMSET. Western blot and flow cytometry analysis indicated SLAMF7 was over-expressed in t(4;14) MM cell lines and down-regulated by MMSET shRNAs. SLAMF7 expression was also confirmed in primary t(4;14) MM samples by flow cytometry analysis. Quantitative RT-PCR and ChIP analysis indicated MMSET might regulate the transcription level of SLAMF7 and be an important functional element for SLAMF7 promoter activity. Furthermore, SLAMF7 shRNA could induce G1 arrest or apoptosis and reduce clonogenetic capacity in t(4;14) MM cells. Overall, these results illustrated SLAMF7 might be a novel cell surface protein associated with t(4;14) MM. It is potential to develop t(4;14) MM targeted therapy by SLAMF7 antibody mediated drug delivery.
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PMID:Plasma membrane proteomics identifies biomarkers associated with MMSET overexpression in T(4;14) multiple myeloma. 2390 Feb 84

Histone lysine methyltransferase NSD2 (WHSC1/MMSET) is overexpressed frequently in multiple myeloma due to the t(4;14) translocation associated with 15% to 20% of cases of this disease. NSD2 has been found to be involved in myelomagenesis, suggesting it may offer a novel therapeutic target. Here we show that NSD2 methyltransferase activity is crucial for clonogenicity, adherence, and proliferation of multiple myeloma cells on bone marrow stroma in vitro and that NSD2 is required for tumorigenesis of t(4;14)+ but not t(4;14)- multiple myeloma cells in vivo. The PHD domains in NSD2 were important for its cellular activity and biological function through recruiting NSD2 to its oncogenic target genes and driving their transcriptional activation. By strengthening its disease linkage and deepening insights into its mechanism of action, this study provides a strategy to therapeutically target NSD2 in multiple myeloma patients with a t(4;14) translocation.
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PMID:NSD2 is recruited through its PHD domain to oncogenic gene loci to drive multiple myeloma. 2398 95

Multiple myeloma (MM) is a plasma-cell (PC) malignancy that is heterogeneous in its clinical presentation and prognosis. Monoclonal gammopathy of undetermined significance (MGUS) consistently preceded development of MM. The presence of primary IgH translocations and the universal overexpression of cyclin D genes led to a molecular classification of MM patients into different disease subtypes. Since Bcl-2 family proteins determine cell fate, we analyzed a publicly available Affymetrix gene expression of 44 MGUS and 414 newly diagnosed MM patients to investigate (1) the global change of Bcl-2 family members in MM versus MGUS (2) whether the four major subtypes defined as hyperdiploid, CyclinD1, MAF, and MMSET, display specific apoptotic machineries. We showed that among the main anti-apoptotic members (Bcl-2, Bcl-xL, and Mcl-1), Mcl-1 up-regulation discriminated MM from MGUS, in agreement with the prominent role of Mcl-1 in PC differentiation. Surprisingly, the expression of multi-domain pro-apoptotic Bak and Bax were increased during the progression of MGUS to MM. The combined profile of Bcl-2, Bcl-xL, and Mcl-1 was sufficient to distinguish MM molecular groups. While specific pro-apoptotic members expression was observed for each MM subtypes, CyclinD1 subgroup, was identified as a particular entity characterized by a low expression of BH3-only (Puma, Bik, and Bad) and multi-domain pro-apoptotic members (Bax and Bak). Our analysis supports the notion that MM heterogeneity is extended to the differential expression of the Bcl-2 family content in each MM subgroup. The influence of Bcl-2 family profile in the survival of the different patient groups will be further discussed to establish the potential consequences for therapeutic interventions. Finally, the use of distinct pro-survival members in the different steps of immune responses to antigen raises also the question of whether the different Bcl-2 anti-apoptotic profile could reflect a different origin of MM cells.
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PMID:Apoptotic machinery diversity in multiple myeloma molecular subtypes. 2439 42


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