Identification Of Novel Alternative Splice Variants Of Sirtuins In Multiple Myeloma: Therapeutic Implications

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3121-3121
Author(s):  
Antonia Cagnetta ◽  
Michele Cea ◽  
Sophia Adamia ◽  
Yu-Tzu Tai ◽  
Teru Hideshima ◽  
...  

Abstract Background Alternative splicing (AS) is a normal epigenetic event with a critical role in the regulation of gene expression. Previous studies showed increased AS in Multiple Myeloma (MM) cells, suggesting the need to assess both expression level of genes and post translational modifications, mediating overall gene function. The NAD-dependent deacetylases Sirtuins (SIRTs), mammalian homologues of the yeast Sir2, modulate various biological processes including metabolism, cell survival, development, chromatin dynamics, or DNA repair. Recent microarray profiling data using newly diagnosed patients with MM, suggests clinical relevance of such deacetylases since their level predicts for both progression free and overall survival. Among SIRTs family membersSIRT-5, SIRT-6 and SIRT-7 transcript levels positively correlated with disease progression (from MGUS to active MM). These studies provide the rationale for further examining the biological processes including epigenetic changes, mutations, or AS events that contribute to aberrant expression of SIRTs in MM. Methods Purified RNA from MM cell lines, newly diagnosed MM patient cells, as well as peripheral blood mononuclear cells (PBMCs) from normal healthy donors was subjected to SIRT expression analysis. Specifically, SIRTs-specific primers were developed and optimized using standard RT-PCR conditions. RNA integrity was confirmed using Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) as an endogenous control. Aberrant splicing of SIRT-5, SIRT-6, and SIRT-7 was confirmed by cloning and sequencing, followed by analysis of their expression patterns in MM patients versus normal PBMCs. Results We found that SIRTs genes are frequently miss-spliced in MM patients. To our knowledge, this is the first report showing SIRTs miss-splicing event in MM. Through cloning and sequencing analysis, we identified novel spliced isoforms of SIRT-5, SIRT-6 and SIRT-7; these occurred as a result of aberrant AS within exon-12, exon-4 and and exon-5, respectively. Specifically, exon skipping was noted in SIRT-6 and SIRT-7 variants, via cryptic 5 prime or 3 prime splice sites on exon 12 and/or through partial retention of an intron created SIRT-5 variants. The novel spliced forms were widely expressed in MM cell lines and primary cells, without significance occurrence in normal PBMCs. Our preliminary data show that even though these novel isoforms exhibit reduced deacetylase activity versus full-length variants, this characteristic may impart distinct functional outcome. Finally, in support of above studies, our analysis of MM patient samples suggest that AS among SIRTs is associated with poor clinical outcome in MM patients. Conclusion In the current study, we have identified novel transcript variants of SIRT-5, SIRT-6 and SIRT-7 in MM cells. These aberrant isoforms allow for generating transcripts that encode for dysfunctional proteins, which in turn, may contribute to the genetic heterogeneity in MM. Ongoing studies are delineating the function of these newly identified splice variants of SIRTs and their association with MM progression. Overall, our studies will provide basis for utilizing SIRTs variants as prognostic markers and/or as novel therapeutic targets in MM. Disclosures: Hideshima: Acetylon Pharmaceuticals: Consultancy. Chauhan:Vivolux: Consultancy.

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4462-4462
Author(s):  
Xiu Ly Song ◽  
Raphaël Szalat ◽  
Alexis Talbot ◽  
HaiVu Nguyen ◽  
Mehmet K. Samur ◽  
...  

Abstract In Multiple Myeloma (MM), the t(4;14) translocation is associated with a poor outcome. However, beside this translocation, the genetic events which determine the adverse evolution of the disease and the resistance to treatments remain elusive. In this study we performed whole exome or RNA sequencing analysis of samples from 65 newly diagnosed t(4;14) MM. We found that NRAS, KRAS, MAPK and FGFR3 are frequently mutated (12%, 9%, 13.8%, and 20% respectively). Overall, the FGFR3/RAS/BRAF/MAPK genes were mutated in 36 cases (54%). There was a negative correlation between mutations in FGFR3 and those occurring in NRAS, KRAS and BRAF as expected from the mutually exclusive occurrence of mutations in these genes. In addition to alterations in TP53 and DIS3, we found marked elevated frequency of mutations in PRKD2 (10.7%), ATM/ATR (10.7%) and MYCBP2 (7.6%), reduced frequency in FAM46C (1.5%) and no mutation in TRAF3 and CCND1. Mutations in ATM/ATR were strongly associated with the MB4-2 breakpoint (Bp) (p = 1.62 10-4) and significantly correlated with mutations affecting genes coding for members of the MAPK family. We observed a positive correlation between non-silent mutations in PRKD2 and the MB4-1 or MB4-3 Bp (p = 1.3 10-2). Of note, PRKD2 mutations are exclusively found in 3 t(4;14) MM cell lines and among the 84 MM sequenced by Bolli et al. (1), none of the non t(4;14) patient were mutated in PRKD2, indicating that this genetic lesion is associated with t(4;14) MM. In the NCI-H929 t(4;14) MM cell line, which is mutated for PRKD2, encoding the PKD2 serine/threonine kinase, we observed elevated levels of phosphorylated PKD2. Furthermore, inhibition of PKD, decreased PKD2 phosphorylation and triggered reduced proliferation and apoptosis of MM cell lines and fresh plasma cells from patients in vitro. These results define a specific mutational landscape for t(4;14) MM and identify PKD2 as a potential therapeutic target in MM patients. Altogether, these results define a specific mutational landscape for t(4;14) MM and identify PKD2 as a potential therapeutic target in MM patients. Reference 1. Bolli, N., Avet-Loiseau, H., Wedge, D.C., Van Loo, P., Alexandrov, L.B., Martincorena, I., Dawson, K.J., Iorio, F., Nik-Zainal, S., Bignell, G.R., et al. (2014). Heterogeneity of genomic evolution and mutational profiles in multiple myeloma. Nat Commun 5, 2997. Disclosures Munshi: Janssen: Consultancy; Takeda: Consultancy; Celgene: Consultancy; Amgen: Consultancy; Merck: Consultancy; Pfizer: Consultancy; Oncopep: Patents & Royalties.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4474-4474
Author(s):  
Subodh Kumar ◽  
Leutz Buon ◽  
Srikanth Talluri ◽  
Jialan Shi ◽  
Hervé Avet-Loiseau ◽  
...  

Abstract As in all cancers, genomic instability leads to ongoing acquisition of new genetic changes in multiple myeloma (MM). This adaptability underlies the development of drug resistance and progression in MM. This genomic instability is driven by cellular processes, mainly related with DNA repair and perturbed by functional changes in limited number of genes. Since kinases play a critical role in the regulation of biological processes, including DNA damage/repair signaling and are relatively easy to screen for inhibitors, we investigated for novel genes involved in the acquisition of new genomic changes in MM. Using a large genomic database which had both the gene expression and CGH array-based copy number information (gse26863, n=246), we first identified a total of 890 expressed kinases in MM and correlated their expression with genomic instability defined as a change in ≥3 and/or 5 consecutive amplification and/or deletion events. We identified 198 kinases whose elevated expression correlated with increased genomic instability (based on FDR ≤ 0.05). Amongst these kinases, using univariate Cox survival analysis, elevated expression of 15 kinases correlated with poor overall as well as event free survival (P ≤0.05) in two MM datasets (IFM70, n=170; gse24080; n=559). We further confirmed the correlation of these 15 genes in both EFS and OS in additional two MM datasets (MMRF CoMMpass Study, IFM-DFCI 2009) as well as in additional solid tumor datasets from TCGA from patients with lung and pancreatic adenocarcinoma (P values ranging from 0.01 to <0.000002). A pathway analysis identified phosphorylation and regulation of proteasome pathway, mitotic spindle assembly/checkpoint, chromosomal segregation and cell cycle checkpoints as among major pathways regulated by these genes. To investigate the relevance of these genes with genomic instability, we performed a functional siRNA screen to evaluate impact of their suppression on homologous recombination (HR). PDZ Binding Kinase (PBK) was one of the top genes whose knockdown caused the maximal inhibition of HR activity in initial screen. To investigate it further in detail, we suppressed PBK in MM cells using shRNA and confirmed that its suppression significantly reduces HR activity. PBK-knockdown also reduced gH2AX levels (marker of DNA breaks) measured by Western blotting and decreased number of micronuclei (a marker of ongoing genomic rearrangements and instability) as assessed by flow cytometry . A small molecule inhibitor of PBK also confirmed a similar reduction in gH2AX levels as well as micronuclei, indicating inhibition of spontaneous DNA breaks and genomic instability. Using mass spectrometry and co-immunoprecipitation, we identified that PBK interacts with FEN1, a nuclease with roles in base excision repair and HR pathways. We confirmed that PBK induces phosphorylation of FEN1 and that inhibition of PBK, suppressed the phosphorylation of FEN1, RAD51 expression and gH2AX levels and it reversed FEN1-induced HR activity. These results confirm that phosphorylation of FEN1 nuclease by PBK contributes to its ability to impact DNA breaks, HR and genome stability in MM. PBK inhibition also significantly sensitized MM cells to melphalan and inhibited cell viability in a panel of MM cell lines (IC50 in MM cell lines ~20-30 nM vs ~100 nM in normal PBMCs) at the same time also reversed melphalan-induced genomic instability, as assessed by micronucleus assay. These data identify PBK as an important target affecting genomic instability, and its inhibitor as a potential drug, to inhibit genomic evolution and MM cell growth. Disclosures Munshi: OncoPep: Other: Board of director.


Blood ◽  
1996 ◽  
Vol 88 (9) ◽  
pp. 3371-3382 ◽  
Author(s):  
T McClanahan ◽  
J Culpepper ◽  
D Campbell ◽  
J Wagner ◽  
K Franz-Bacon ◽  
...  

We have performed a comprehensive analysis of cell lines and tissues to compare and contrast the expression patterns of Flt3 ligand (FL), c-Kit ligand (KL), and macrophage colony-stimulating factor as well as their receptors, Flt3, c-Kit, and c-Fms. The message for FL is unusually ubiquitous, whereas that of its receptor is quite restricted, apparently limiting the function of the ligand to fetal development and early hematopoiesis. We have also sequenced a mouse FL genomic clone, revealing how the three splice variant FL mRNAs that we have isolated arise. The chromosomal location of the FL gene has been mapped, by in situ hybridization, to chromosome 7 in mouse and chromosome 19 in human. Natural FL protein has been purified from a stromal cell line and shown to be a 65 kD nondisulfide-linked homodimeric glycoprotein comprised of 30 kD subunits, each containing 12 kD of N- and O-linked sugars. Pulse-chase experiments show that one of the splice variants (T110) is responsible for producing the bulk of soluble FL, but only after it has first been expressed at the cell surface as a membrane-bound form. The other splice-variant forms produce molecules that are either obligatorily soluble (T169) or membrane-bound but released only very slowly (T118). Finally, even though most cell lines express some amount of FL mRNA, we found that very little FL protein is actually made, with T cells and stromal cells being the major producers. The data suggests that FL plays its roles over very short distances, perhaps requiring cell-cell contact.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 2719-2719
Author(s):  
Pablo Landgraf ◽  
Amanda Rice ◽  
Nicola Iovino ◽  
Valerio Fulci ◽  
Robert Sheridan ◽  
...  

Abstract MicroRNAs (miRNAs) are conserved 21−23 nt non-coding RNA molecules that regulate gene expression either by mRNA cleavage or by repression of mRNA translation. miRNAs regulate many different processes, including apoptosis and cell proliferation and may therefore also play a critical role in oncogenic transformation. To date, most miRNAs have been discovered by cDNA cloning and sequencing, though other profiling methods, such as miRNA micro-arrays, have recently been applied. Profiling of miRNA expression by cloning has the advantage of identifying new miRNA genes, and if a large number of clones are sequenced, to also be quantitative. In addition the exact sequence is determined and polymorphisms and mutations in any miRNAs can readily be detected. To get an insight in the role of miRNAs in the differentiation and maturation of hematopoetic cells as well as their contribution to oncogenesis in ALL and lymphomas, we cloned and sequenced various cell lines and patient samples:five cell lines (B-ALL, AML, Burkitt Lymphoma); samples from sorted blood cells covering pluripotent stem cells, B-, T-, NK- cells, monocytes and granulocytes; eight patient samples with ALL (2 pro-B-ALL, 2 pre-B-ALL, 2 cALL, 2 T-ALL) at the time point of diagnosis; four additional samples of these patients with B-ALL and two samples of T-ALL patients each after 36 days of treatment according to the protocol of the German Cooperative Acute Lymphoblastic Leukemia study group (COALL-07-03). We also recorded the small RNA profiles of three patients with various forms of AML at diagnosis and after the first induction according to the protocol of the AML-BFM 2004 study; two Burkitt lymphoma samples and one B-Non Hodgkin Lymphoma (B-NHL) sample. We report here the identification of over 20 novel human miRNAs in these samples. To determine specific expression patterns, the miRNA profiles were compared to a reference set of 22 different human tissue types. Some miRNAs are expressed in a cell or tissue specific manner, others have a more general expression pattern between different cell types and tissues. For example human miRNA miR-142 is ubiquitously expressed in cells of the hematopoetic lineage, whereas human miR-150 is only expressed in differentiated hematopoetic cells, but not in hematopoetic stem cells. In hematopoetic stem cells human miR-126 is 3 to more than 10 times higher expressed than in differentiated hematopoetic cells. The existence of the latter two in humans are first described in this study. miR-16 on the other hand is expressed in all cell types examined including non-hematopoetic. Furthermore, miRNAs are up/down-regulated in ALL and NHL patient samples. In conclusion, this study identifies miRNAs that might be involved in hematopoetic cell differentiation and maturation and is important to identify miRNAs that might contribute to oncogenesis in leukemia and lymphomas.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 832-832 ◽  
Author(s):  
Michael A Chapman ◽  
Jean-Philippe Brunet ◽  
Jonathan J Keats ◽  
Angela Baker ◽  
Mazhar Adli ◽  
...  

Abstract Abstract 832 We hypothesized that new therapeutic targets for multiple myeloma (MM) could be discovered through the integrative computational analysis of genomic data. Accordingly, we generated gene expression profiling and copy number data on 250 clinically-annotated MM patient samples. Utilizing an outlier statistical approach, we identified HOXA9 as the top candidate gene for further investigation. HOXA9 expression was particularly high in patients lacking canonical MM chromosomal translocations, and allele-specific expression analysis suggested that this overexpression was mono-allelic. Indeed, focal copy number amplifications at the HOXA locus were observed in some patients. Outlier HOXA9 expression was further validated in both a collection of 52 MM cell lines and 414 primary patient samples previously described. To further verify the aberrant expression of HOXA9 in MM, we performed quantitative RT-PCR, which confirmed expression in all MM patients and cell lines tested, with high-level expression in a subset. To further investigate the mechanism of aberrant HOXA9 expression, we interrogated the pattern of histone modification at the HOXA locus because HOXA gene expression is particularly regulated by such chromatin marks. Accordingly, immunoprecipitation studies showed an aberrantly low level of histone 3 lysine 27 trimethylation marks (H3K27me3) at the HOXA9 locus. H3K27me3 modification is normally associated with silencing of HOXA9 in normal B-cell development. As such, it appears likely that the aberrant expression of HOXA9 in MM is due at least in part to defects in histone modification at this locus. To determine the functional consequences of HOXA9 expression in MM, we performed RNAi-mediated knock-down experiments in MM cell lines. Seven independent HOXA9 shRNAs that diminished HOXA9 expression resulted in growth inhibition of 12/14 MM cell lines tested. Taken together, these experiments indicate that HOXA9 is essential for survival of MM cells, and that the mechanism of HOXA9 expression relates to aberrant histone modification at the HOXA9 locus. The data thus suggest that HOXA9 is an attractive new therapeutic target for MM. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2917-2917
Author(s):  
Jennifer Li ◽  
Andrew Leu ◽  
Mingjie Li ◽  
Ethan D Hobel ◽  
Kevin Delijani ◽  
...  

Abstract Abstract 2917 The inhibitory Fc receptor, Fc γRIIb, is expressed on plasma cells, controls their persistence in the bone marrow (BM) and their ability to produce serum Ig. Activation of Fc γRIIb leads to the phosphorylation of ITIM and recruitment of SH2-containing inositol 5'-phosphatase (SHIP) in plasma cells. Immunoreceptor tyrosine-based activation motif (ITAM) and ITIM provide the basis for two opposing signaling modules that duel for control of plasma cell activation. Fc γRIIb-mediated SHIP phosphorylation activates downstream ITAM or ITIM signaling. To determine whether multiple myeloma (MM) cells express Fc γRIIb, we performed immunohistochemical staining on bone marrow mononuclear cells from MM patients and controls. We found that not only CD20+ B cells expressed Fc γRIIb but more importantly CD138+ cells from MM patients also showed expression of this receptor. Next, we examined whether Fc γRIIb was present and expressed in CD138+ primary MM cells purified from fresh MM BM and the MM cell lines MM1s, RPMI8226, and U266 using PCR and RT-PCR on DNA and mRNA, respectively. We focused on the transmembrane domain of the Fc γRIIb gene with four primers from different parts of this domain since this portion plays a critical role in this receptor's function. The MM cell lines expressed different amounts of Fc γRIIb. Notably, we found that 17% (5/30) of MM patients showed absence of Fc γRIIb both using RT-PCR for mRNA and PCR for DNA. Moreover, use of these same primers on nonmalignant PBMCs from the MM patients also showed absence of this gene in the same five patients. As a result of these findings, we are currently sequencing Fc γRIIb in MM patients to determine if additional patients show mutational changes that affect the function of this receptor. We also further determined SHIP-1 phosphorylation using Western blot analysis since this protein mediates downstream signaling of Fc γRIIb. Following stimulation with Fc complexes, phosphorylation of SHIP-1 was markedly reduced in MM tumor cells compared to normal CD20+ B cells. Interestingly, the patients with missing Fc γRIIb expressed higher levels of SHIP-1 gene expression compared to patients with normal Fc γRIIb expression. We investigated the IgG-binding ability of MM patients (n=33) and normal donors (n=33) to Fc γRIIb. Each serum sample was incubated with cells from MHC1, a cell line that specifically expresses Fc γRIIb but not Fc γRI and Fc γRIIa. The results showed MM patients' serum IgG have much lower Fc γRIIb-binding ability than normal human IgG (P<0.05) by using both flow cytometric and immunofluorescence assays. Our findings suggest that the monoclonal protein produced by MM patients has a very low Fc γRIIb-binding ability and is incapable of signaling through the inhibitory ITIM pathway. Germline loss of Fc γRIIb in MM patients with variation in its expression level and its downstream signaling molecule SHIP and its phosphorylation as well as the inability of MM IgG to bind cells containing this receptor is a potential new mechanism that contributes to the uncontrolled growth of MM. Disclosures: Berenson: Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Millennium Pharmaceuticals, Inc.: Consultancy, Honoraria, Research Funding, Speakers Bureau; Onyx Pharmaceuticals: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Medtronic: Consultancy, Honoraria, Research Funding, Speakers Bureau; Merck: Research Funding; Genentech: Research Funding.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3820-3820
Author(s):  
Yi Tao ◽  
Zhimin Gu ◽  
Ye Yang ◽  
Hongwei Xu ◽  
Xiaojing Hu ◽  
...  

Abstract Background We have recently established that increased chromosomal instability (CIN) signature is linked to drug resistance and poor outcome in multiple myeloma (MM) and other cancers. Thyroid Hormone Receptor Interactor 13 (Trip13), one of the 56 drug-resistant genes, plays a key role in chromosomal recombination and structure development during meiosis and has been reported to be increased in some malignancies including lung cancer, prostate cancer and breast cancer. In this study, we investigated how important Trip13 is in myelomagenesis and progression. Materials and Methods Gene expression profiling (GEP) was analyzed on plasma cells from 22 healthy donors, 44 patients with monoclonal gammopathy of undetermined significance (MGUS), 351 patients with newly diagnosed multiple myeloma, and 9 human myeloma cell lines, as well as on 36 sequential samples at diagnosis, pre-1st, pre-2nd and post-2nd autologous stem cell transplantation (ASCT). Over-expression and knock-down experiments of Trip13 were performed on myeloma cell lines by lentivirus transfection. Cell viability was assessed by trypan exclusion assay. Western blots were used to detect the expression of Trip13, P31 comet, caspase-8, caspase-9, caspase-3 and PARP, and checkpoint related proteins MAD2 and CDC20 in Trip13 overexpressed or Trip13 shRNA-transfected myeloma cells. Results Sequential GEP samples showed that Trip13 expression increased in 8 of 9 patients after chemotherapy and ASCT compared to the samples at diagnosis strongly suggesting that increased Trip13 is associated with drug resistance. Trip13 was already significantly increased in MGUS patients, newly diagnosed MM patients and MM cell lines compared with normal plasma cells. Furthermore, Trip13 was significantly higher in high-risk MMs than in low-risk MMs and increased Trip13 was linked to an inferior event-free survival (EFS) (p<0.01) and overall survival (OS) (p<0.01) in 351 newly diagnosed MMs. In contrast, the Trip13-interacting gene P31 comet was down-regulated in high-risk MMs and high expression of P31 was associated with good outcome. Interestingly, patients with high Trip13 and low P31 comet have the worst outcome compared to patients with only one of these, suggesting the interaction of Trip 13 and p31 has a synergistic effect on MM progression. Transfection of Trip13 into ARP1 and OCI-My5 cells significantly increased cell proliferation, while knock-down Trip13 in OCI-My5, H929, RPMI8226 cells inhibited cell growth and induced MM cell apoptosis with increases of cleaved caspase-8, caspase-9, caspase-3 and PARP. Mechanistic studies showed that Trip13 over-expression decreased P31comet and MAD2 expression by western blotting, but increased CDC20. Conclusions The association of increased Trip13 and decreased p31 is a good biomarker for MM drug resistance and poor prognosis. Our results also show Trip13 and P31 comet could be potential targets to overcome drug resistance in MM. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 840-840
Author(s):  
Alessandro Lagana ◽  
Ben Readhead ◽  
Deepak Perumal ◽  
Brian Kidd ◽  
Hearn Jay Cho ◽  
...  

Abstract Recent advances in computational biology have led to the development of novel and sophisticated methods to model large datasets measured from complex organisms based on integrative network biology. Networks can provide valuable insight into key biological processes and allow for a deeper understanding of the complexity of cellular systems and disease mechanisms. We developed and applied a network biology approach to infer an improved molecular model and understanding of newly diagnosed multiple myeloma (MM). We constructed the first co-expression network of MM based on RNA-seq data from the current release (IA4) of the Multiple Myeloma Research Foundation (MMRF) CoMMpass Study dataset. The data set consists of 92 samples from newly diagnosed MM patients. Whole Exome Sequencing (WES) data available for 77 out of 92 samples allowed the integration of somatic mutations into the network. Our analysis organized 23,033 genes into 50 co-expression modules. We then evaluated the molecular activity of co-expression modules for concordance with molecular traits. We performed module enrichment analysis against Gene Ontology terms, pathways, chromosome locations, protein-protein interaction networks, MM-associated gene sets and drug-target databases. Analysis of the newly diagnosed multiple myeloma network model (MMNet) revealed known and novel molecular features of multiple myeloma. The integration of MMNet with somatic mutations data unveiled a significant association between mutation burden and the activation of several modules. Fundamental biological processes such as DNA repair, cell cycle, signal transduction, NK-kappaB cascade and MAPK signaling characterized such modules. Interestingly, a number of mutated genes demonstrated pluripotent associations with co-expression module activity. For example, FGFR3 was correlated with expression of several modules, including one enriched for RNA processing and translation-related processes and included the known MM-associated genes FRZB and CCND3. Similarly, the frequently mutated gene DIS3 was significantly associated to five different modules, including the translation-related module and a module enriched for the 1q locus. Our results have identified novel key driver genes that may inform therapy prioritization. The MMNet topology revealed a far greater molecular heterogeneity in primary MM underscoring opportunities to improve the molecular taxonomy of this disease. We identified several modules associating with previously described MM classes, including a module enriched for genes up regulated in the UAMS MS class characterized by spiked expression of WHSC1 and FGFR3. Module connectivity confirmed the central role of both genes, WHSC1 being the top hub gene, i.e. the most connected gene in the module, and FGFR3 being among the top 10 hubs. Consistent with previous findings, this module was characterized by negative correlation with aneuploidy. We found other modules enriched for genes dysregulated in other UAMS classes, such as MF, CD1 and CD2. We also identified several modules associating with relevant biological processes such as apoptosis, cell communication, Wnt and Toll-like receptor signaling. Correlation of modules expression with clinical traits identified insights into genetic subgroups of MM that are not previously described. For examples, we found a module positively correlated to the African American ethnicity. This module was also characterized by enrichment for genes in the fragile regions 5q31 and 6q21. These findings may provide important and exciting insights into the biology of MM among African Americans as they are at increased risk for MM. Our integrative network analysis of the CoMMpass dataset uncovers novel and complex patterns of genomic perturbation, key drivers and associations between clinical traits and genetic markers in newly diagnosed MM patients. Disclosures Chari: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Consultancy, Research Funding; Biotest: Other: Institutional Research Funding; Array Biopharma: Consultancy, Other: Institutional Research Funding, Research Funding; Novartis: Consultancy, Research Funding; Onyx: Consultancy, Research Funding. Jagannath:BMS: Honoraria; MERCK: Honoraria; Novartis Pharmaceuticals Corporation: Honoraria; Celgene: Honoraria; Janssen: Honoraria. Dudley:Ayasdi, Inc: Other: Equity; Personalis: Patents & Royalties; NuMedii, Inc: Patents & Royalties; GlaxoSmithKline: Consultancy; Janssen Pharmaceuticals: Consultancy; Ecoeos, Inc: Other: Equity.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 889-889
Author(s):  
Francesca Cottini ◽  
Jose Rodriguez ◽  
Maxwell Birmingham ◽  
Tiffany Hughes ◽  
Nidhi Sharma ◽  
...  

Abstract Multiple myeloma (MM) is a disease derived from genetically abnormal clonal plasma cells. MM cells aberrantly express several surface antigens compared with normal plasma cells. Among others, CD56/NCAM1 is present at variable levels in approximately 70% of MM patients. Very little is known about its role in MM; however, CD56 positivity in MM correlates with greater osteolytic burden and lower frequency of good prognostic features, such as the presence of t(11;14). We first analyzed 569 patients with MM diagnosed between 1/1/2005 and 12/31/2014 at the Ohio State University Wexner Medical Center, stratifying them based on the percentage of CD56-expressing clonal MM cells. The mean percentage of CD56-expressing clonal MM was 26.5%, with range from 0 to 100%; the Mean Fluorescent Intensity values varied, with a quarter of patients expressing CD56 at high intensity. We then evaluated patient outcomes based on the percentage of CD56-expressing clonal MM cells. We noticed that MM patients with more than 30 or 50 percent of CD56-expressing MM clonal cells have inferior clinical outcomes than patients with less than 30 or 50 percent of CD56-expressing MM clonal cells, with median overall survival of 9.61 versus 7.64 years (log-rank p-value: 0.004) or 9.30 versus 6.47 years (log-rank p-value: 0.0009), respectively. We then demonstrated by conventional and real-time PCR analyses that the predominately expressed CD56 isoform in MM has signaling potential with a transmembrane portion and cytosolic tail. Therefore, we evaluated the functional role of CD56 in MM. By gain-of function studies in U266 and MM.1S MM cell lines, we showed that overexpression of CD56 promotes MM growth and viability; the opposite effect occurred with CD56 silencing in H929, OPM-2, and RPMI-8226 MM cell lines, which leads to reduced MM growth and increased apoptotic cell death. Overexpression of CD56 resulted in the phosphorylation and hence activation of ribosomal protein S6 kinase A3 (RSK2) and of the transcription factor, cAMP responsive element binding protein 1 (CREB1). This induced CREB1 binding to DNA consensus CRE elements, and promoted transcription of CREB1 targets, the anti-apoptotic genes BCL2 and MCL1. CD56 silencing in H929 and OPM-2 MM cell lines had opposite effects, with reduction of phospho-RSK2, phospho-CREB1, MCL1, and BCL2 levels. We then used shRNAs targeting RSK2 and CREB1 or specific inhibitors (BI-D1870 that is a RSK2 inhibitor, and 666-15 that is a CREB1 inhibitor) at 0.1-1 microM concentration. We evaluated viability by MTT assay or Zombie dye staining on CD138 positive MM cells and apoptosis by Annexin V-PI staining. We demonstrated that CD56 positive MM cell lines (H929, OPM-2, and RPMI-8226) or patients with high CD56 expression (&gt;30% of CD56-expressing clonal MM cells) are more sensitive to RSK2/CREB1 inhibition compared with CD56 negative MM cell lines (U266, L363, and MM.1S) or patients with low CD56 expression (&lt;30% of CD56-expressing clonal MM cells). Using similar strategies, we also proved that CREB1 is essential to CD56-protumoral phenotype, since CREB1 inhibition reduces cellular growth and viability in CD56 overexpressing U266 cells. RSK2 and CREB1 inhibition mimic CD56 silencing with decrease of BCL2 and MCL1 mRNA and protein levels. Furthermore, we observed that CD56 signaling by CREB1 activation decreases CRBN expression, reducing responses to lenalidomide. Conversely, CREB1/RSK2 blockade rescued CRBN levels in CD56 positive MM cells and increased lenalidomide response. These results support the hypothesis that targeting CREB1 is hence a so far unexplored but potentially effective synthetic lethal strategy for CD56-expressing MM patients. In conclusion, our study defines an effective threshold for therapeutic intervention in CD56-expressing MM patients. Moreover, our data pioneer the use of CREB1/RSK2 inhibition in CD56-expressing MM cells, either as single agents or in combination with lenalidomide, suggesting that CD56 can be a prognostic and predictive factor of response in MM. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 499-499
Author(s):  
Xenofon Papanikolaou ◽  
Caleb K. Stein ◽  
Ricky D Edmondson ◽  
Veronica Macleod ◽  
Ruslana Tytarenko ◽  
...  

Abstract The proteasome inhibitor Bortezomib (Bz), the first agent of a new class of drugs in Multiple Myeloma (MM), has shown remarkable activity and forms an integral part of modern MM treatment. Nevertheless, resistance to Bz eventually develops in a significant proportion of patients, with adverse effects on survival. Numerous publications have addressed this issue through in vitro developed models of acquired Bz resistance (BzR). However the results were quite different in each publication, none of the produced Bz myeloma cell lines was provably stable, no common mechanism of resistance could be demonstrated, and hence were of minimal relevance to the clinical setting. In order to address these issues an effort was made for the development of an in vitro model of acquired BzR that would resemble the clinical reality in the most accurate way. Two myeloma cell lines were used, one resembling a multisensitive (JJN3) and the other a multiresistant (U266) drug behavior, that were both sensitive to Bz. An at least 20 fold increase in the 48h Bz IC50 was noted for both cell lines. The increase in the IC50 was able to be verified a year after culturing the cell lines in normal medium thus ensuring a stable resistance phenotype. To delineate the molecular mechanisms that underlie the development of BzR a combined genetic/Gene Expression Profile (GEP) and functional/Proteomics approach was used with emphasis in the common elements of both cell lines. The hypothesis was that if certain pathways are activated in the cells that actually produce the phenotype of BzR they must fulfil two important criteria: 1) They must be present in all the levels of the BzR, 2) The gene changes have to be verified in the level of the gene encoded proteins thus securing their functional importance. GEP of the naïve cell lines along with the GEP of the Bz resistant cells at different levels of BzR (5-fold, 10-fold, 20-fold) were used. The statistical analysis revealed 100 gene probes common in both cell lines that achieved their highest change as soon as BzR was established and remained stable at that level for all later versions (P<0.1, q<0.1) and 115 gene probes common in both cell lines that their change was proportional to the level of BzR (P<0.001, q <0.005). The proteomics analysis of the Bz resistant cell lines at their latest level of resistance (20-fold) revealed 262 proteins common in both cell lines that were up-regulated and 263 common in both cell lines that were down-regulated (change >10% to be considered significant). The intersection of the list of the common genes with the list of the common proteins revealed 47 gene-proteins all but one novel in MM. They can be grouped in distinct biological categories with the most prominent ones being the ROS/Mitochondrial Factor category comprising of 10 gene-proteins, the E3 Ubiquitin Pathway 6 genes-proteins and Translation Regulation 5 genes-proteins. Even more importantly 30 of them have profound survival implications in MM -all of them novel in MM- both for Overall Survival (OS) and Progression Free Survival (PFS) in both Bz (TT3) and non Bz (TT2) containing protocols implying that myeloma cells apply both Bz specific and non-specific mechanisms to acquire BzR. Based on these 30 genes-proteins a GEP risk score (GEP-30) was constructed that was able to achieve remarkable statistical power in both Bz containing and non containing trials of both newly diagnosed (TT2 with and without thalidomide i.e. TT2+ and TT2-, TT3a, TT3b, HOVON, MRC IX, Figure 1A,B,C) and relapsed MM (TT6 , OS: NR vs 1.52 yr P<0.00001, PFS: NR vs 1.13 yr P<0.00001 for low and high risk) Figure 1. KM plots for OS and PFS of GEP-30 for newly diagnosed MM Figure 1. KM plots for OS and PFS of GEP-30 for newly diagnosed MM Figure 1B. Figure 1B. Figure 1C. Figure 1C. Disclosures Stein: University of Arkansas for Medical Sciences: Employment. Barlogie:University of Arkansas for Medical Sciences: Employment. Epstein:University of Arkansas for Medical Sciences: Employment. Heuck:Janssen: Other: Advisory Board; Celgene: Consultancy; Millenium: Other: Advisory Board; Foundation Medicine: Honoraria; University of Arkansas for Medical Sciences: Employment.


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