Interleukin-6–dependent gene expression profiles in multiple myeloma INA-6 cells reveal a Bcl-2 family–independent survival pathway closely associated with Stat3 activation

Blood ◽  
2004 ◽  
Vol 103 (1) ◽  
pp. 242-251 ◽  
Author(s):  
Katja Brocke-Heidrich ◽  
Antje K. Kretzschmar ◽  
Gabriele Pfeifer ◽  
Christian Henze ◽  
Dennis Löffler ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signal Transduction ◽  
Multiple Myeloma ◽  
Interleukin 6 ◽  
Target Genes ◽  
B Lymphocyte ◽  
Expression Profiles ◽  
B Cell Lymphoma ◽  
Myeloma Cells ◽  
Survival Pathway

Abstract Interleukin 6 (IL-6) is a growth and survival factor for multiple myeloma cells. As we report here, the IL-6–dependent human myeloma cell line INA-6 responds with a remarkably rapid and complete apoptosis to cytokine withdrawal. Among the antiapoptotic members of the B-cell lymphoma-2 (Bcl-2) family of apoptosis regulators, only myeloid cell factor-1 (Mcl-1) was slightly induced by IL-6. Overexpression studies demonstrated, however, that IL-6 does not exert its survival effect primarily through this pathway. The IL-6 signal transduction pathways required for survival and the target genes controlled by them were analyzed by using mutated receptor chimeras. The activation of signal transducer and activator of transcription 3 (Stat3) turned out to be obligatory for the survival of INA-6 cells. The same held true for survival and growth of XG-1 myeloma cells. Gene expression profiling of INA-6 cells by using oligonucleotide microarrays revealed many novel IL-6 target genes, among them several genes coding for transcriptional regulators involved in B-lymphocyte differentiation as well as for growth factors and receptors potentially implicated in autocrine or paracrine growth control. Regulation of most IL-6 target genes required the activation of Stat3, underscoring its central role for IL-6 signal transduction. Taken together, our data provide evidence for the existence of an as yet unknown Stat3-dependent survival pathway in myeloma cells.

scholarly journals NEK2 Inhibition Enhances the Efficacy of PD-1/PD-L1 Blockade in Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2671-2671
Author(s):  
Yan Cheng ◽  
Fumou Sun ◽  
Huojun Cao ◽  
Dongzheng Gai ◽  
Bailu Peng ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
B Cells ◽  
Cell Lines ◽  
Immune Checkpoint ◽  
Mononuclear Cells ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Gene Set Enrichment Analysis ◽  
Myeloma Cells

Abstract Introduction The development of new treatments for high-risk multiple myeloma (HRMM) are needed. The PD-1/PD-L1 axis is one of the chief inhibitory immune checkpoints in antitumor immunity. Despite the success of PD-1 (PDCD1) / PD-L1 (CD274) blockade in some neoplasms, use of it as a monotherapy has failed to improve outcome in RRMM. We have previously demonstrated that the cell-cycle-regulated serine-threonine kinase, NEK2 is elevated in HRMM and that inhibition of NEK2 can overcome drug-resistance and prolong survival of xenografted MM cells. Here, we aimed to investigate the possible role of NEK2 in regulating the immune checkpoint response in MM and development of possible anti-PD1/PDL1 combination therapies. Methods Gene expression profiles and pathway enrichment analyses were conducted on oligonucleotide microarray gene expression profiles from over 1000 primary MM samples to evaluate the correlation of NEK2 and immune checkpoint expression levels. To elucidate the underlying mechanism, we used Nek2 -/- mice crossed with EμMyc mice to generate B cell tumor mouse model with NEK2 deficiency. RNA-sequencing analyses of premalignant B cells was compared between EμMyc/Nek2 WT and EμMyc/Nek2 -/- mice. The hub molecular regulators in the NEK2 correlated pathways were further determined by western blot using NEK2 overexpressing and knockdown cell lines and then verified by co-immunoprecipitation with a NEK2 antibody. Lastly, to establish its clinic significance, the efficacy of INH1 (small compound NEK2 inhibitor), (D)-PPA 1 (peptide-based PD-1/PD-L1 interaction inhibitor) or a PD-L1 (monoclonal antibody) was tested in bone marrow BM mononuclear cells from primary MM patients in-vitro as well as in MM xenografts. Tumor burden and T cell immune responses were monitored by M-spike and mass cytometry. Results Gene expression profiles demonstrated that CD274 expression was significantly higher in the non-proliferative hyperdiploid (HY) subtype of MM, representing between 25-35% of all MM. NEK2 was negatively correlated with CD274 gene expression across all 7 MM subtypes. Gene set enrichment analysis showed that the IFN-γ signaling pathway, which can induce CD274 expression, was significantly enriched in the HY subtype as well as premalignant B cells from EμMyc/Nek2 -/- mice. Elevated expression of EZH2, a histone methyltransferase gene, is also highly correlated wirth NEK2 levels in primary MM. We found that NEK2 inhibition increases CD274 expression as well as reduced EZH2 expression and H3K27me3 levels in MM cell lines. In contrarst, myeloma cells overexpressing NEK2 showed increased expression and activity of EZH2 and H3K27me3 levels. Thus, NEK2 appears to regulate CD274/PD-L1 expression through EZH2-mediated histone methylation. Next we demonstrated that NEK2 and EZH2 directly interact and that overexpression of NEK2 leads to increased methylation of the CD274/PD-L1 gene. We treated BM mononuclear cells from primary MM with PD-1/PD-L1 inhibitor with and without a NEK2 inhibitor. The combination was most effective at eliminating CD138 + myeloma cells while having no effects on T, B and myeloid cell populations. Conclusion Our study showed that expression of CD274/PD-L1 is suppressed in primary HRMM and that CD274/PD-L1 expression is negatively regulated by NEK2 via EZH2-mediated methylation. Inhibition of NEK2 sensitizes myeloma cells to PD-1/PD-L1 blockade, showing either a synergistic or an additive effect in MM cell cytotoxicity. Disclosures No relevant conflicts of interest to declare.

scholarly journals Interleukin-6 gene expression in multiple myeloma: a characteristic of immature tumor cells

Blood ◽  
1993 ◽  
Vol 81 (12) ◽  
pp. 3357-3364 ◽  
Author(s):  
H Hata ◽  
H Xiao ◽  
MT Petrucci ◽  
J Woodliff ◽  
R Chang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Tumor Cells ◽  
Interleukin 6 ◽  
Plasma Cells ◽  
Receptor Gene ◽  
Tyrosine Phosphatase ◽  
Marker Genes ◽  
Target Cells ◽  
Myeloma Cells

Abstract Interleukin-6 (IL-6) has been suggested to play a major role in multiple myeloma. To investigate the source and target cells of IL-6 activity in multiple myeloma, expression of the cytokine and its receptor genes by myeloma plasma cells was studied. Tumor cells were sorted from bone marrow aspirates of myeloma patients using 4-parameter gating. Myeloma cells were identified as CD38high CD45negative- intermediate and by their light-scatter characteristics. Sorted cells contained only myeloma plasma cells. No contaminating cells were present as determined morphologically, by monoclonal cytoplasmic Ig analysis, and by polymerase chain reaction (PCR) amplification of marker genes. Myeloma cells from 45% of patients expressed IL-6. IL-6 receptor transcripts were found in 68% of the specimens. IL-6 gene expression correlated with expression of the IL-6 receptor gene (P < .005). Correlations observed between the expression of CD45, a protein tyrosine phosphatase expressed by B lymphocytes but not by plasma cells, and the expression of the IL-6 and IL-6-receptor genes (P < .0002 and P < .005, respectively) suggest that an autocrine IL-6 loop is functioning in myeloma in preplasma cells.

Effect of Imids on Gene Expression Profiles of Fresh Human Myeloma Cells

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 5013-5013
Author(s):  
Ines Tagoug ◽  
Adriana Plesa ◽  
Julie Vendrell ◽  
Charles Dumontet
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Family Member ◽  
Magnetic Beads ◽  
Expression Profiles ◽  
Calf Serum ◽  
Gene Expression Profiles ◽  
Differentially Expressed ◽  
Myeloma Cells ◽  
Human Myeloma Cells

Abstract Abstract 5013 Immunomodulatory drugs represent a major therapeutic advance in the treatment of patients with multiple myeloma. While these agents appear to exert various effects on the microenvironment, including effect on immune cells and angiogenesis, a direct effect on the tumor cells themselves is also likely. To describe and compare the effect of the three clinically available agents (thalidomide, lenalidomide, pomalidomide) we analyzed the gene expression profiles of fresh human myeloma cells exposed to thalidomide, lenalidomide or pomalidomide, using high density DNA arrays. Fresh human myeloma samples were obtained from bone marrow aspirates of patients with myeloma, and myeloma cells were immunopurified using anti CD138 magnetic beads. Purified myeloma cells (1.106 cells/ml) were incubated for 24 hours in RPMI 1640 medium supplemented with 10% fetal calf serum under each of the four following conditions: 1) DMSO; 2) thalidomide 40 microM; 3) lenalidomide 1 microM; 4) pomalidomide 100 nM. These levels are achievable in the plasma of MM pts. Pangenomic array experiments were performed usingWhole Human Genome 4 × 44K Agilent one-color microarrays. Data were normalized using the quantile normalization method. Samples were analysed for differentially expressed genes, taking into account both the level of significance and the fold-change. Ten evaluable samples were processed. Exposure to thalidomide, lenalidomide and pomalidomide induced differential expression of 36, 50 and 75 genes, respectively, in comparison to DMSO-exposed controls, the total list including 101 genes. Twelve of these were found to be differentially expressed after exposure to all of the three agents, including trophoblast glycoprotein, WAS protein family member 1, dickkopf homolog 1, pentraxin-related gene, CD28, interleukin 12B, tissue factor pathway inhibitor 2, phospholipase A2, dehydrogenase/reductase (SDR family) member 9, hypothetical LOC145788 and betacellulin. These commonly altered genes could be mechanistically involved in themultiple activities of these agents in multiple myeloma or may represent epiphenoma mechanistically unrelated to drug-induced cell death. Genes differentially expressed between the treatment with each of these agents could be indicative of the different and non-overlapping actions these agents have in multiple myeloma. An example of this is the recent demonstration that pomalidomide is clinically active in lenalidomide refractory patients. These results suggest that exposure to IMIDs induce various intracellular signalization pathways in myeloma cells which might be involved in the cytotoxic activity of these compounds. Disclosures: Dumontet: Celgene: Research Funding.

scholarly journals Constitutive NF-κB and NFAT activation leads to stimulation of the BLyS survival pathway in aggressive B-cell lymphomas

Blood ◽  
2006 ◽  
Vol 107 (11) ◽  
pp. 4540-4548 ◽  
Author(s):  
Lingchen Fu ◽  
Yen-Chiu Lin-Lee ◽  
Lan V. Pham ◽  
Archito Tamayo ◽  
Linda Yoshimura ◽  
...  
Keyword(s):  
Gene Expression ◽  
B Cells ◽  
B Cell ◽  
Cell Survival ◽  
B Lymphocyte ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Non Hodgkin Lymphoma ◽  
Survival Pathway ◽  
Differentiation And Proliferation

AbstractB-lymphocyte stimulator (BLyS), a relatively recently recognized member of the tumor necrosis factor ligand family (TNF), is a potent cell-survival factor expressed in many hematopoietic cells. BLyS binds to 3 TNF-R receptors, TACI, BCMA, BAFF-R, to regulate B-cell survival, differentiation, and proliferation. The mechanisms involved in BLYS gene expression and regulation are still incompletely understood. In this study, we examined BLYS gene expression, function, and regulation in B-cell non-Hodgkin lymphoma (NHL-B) cells. Our studies indicate that BLyS is constitutively expressed in aggressive NHL-B cells, including large B-cell lymphoma (LBCL) and mantle cell lymphoma (MCL), playing an important role in the survival and proliferation of malignant B cells. We found that 2 important transcription factors, NF-κB and NFAT, are involved in regulating BLyS expression through at least one NF-κB and 2 NFAT binding sites in the BLYS promoter. We also provide evidence suggesting that the constitutive activation of NF-κB and BLyS in NHL-B cells forms a positive feedback loop associated with lymphoma cell survival and proliferation. Our findings indicate that constitutive NF-κB and NFAT activations are crucial transcriptional regulators of the BLyS survival pathway in malignant B cells that could be therapeutic targets in aggressive NHL-B.

Characterization of Oncogene Dysregulation in Multiple Myeloma by Combined FISH and DNA Microarray Analyses.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 4844-4844
Author(s):  
Antonino Neri ◽  
Sonia Fabris ◽  
Luca Agnelli ◽  
Michela Mattioli ◽  
Luca Baldini ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Dna Microarray ◽  
Plasma Cell ◽  
Target Genes ◽  
Expression Profiles ◽  
Molecular Cytogenetic ◽  
Igh Locus ◽  
Microarray Analyses

Abstract Chromosomal translocations involving the immunoglobulin heavy chain (IGH@) locus and variuos partner loci are frequently associated with multiple myeloma (MM). We investigated the expression profiles of FGFR3/MMSET, CCND1, CCND3, MAF and MAFB genes, respectively involved in t(4;14)(p16.3;q32), t(11;14)(q13;q32), t(6;14)(p21;q32), t(14;16)(q32;q23) and t(14;20)(q32;q12), in purified plasma cell populations from 39 MMs and six plasma cell leukemias (PCL) using DNA microarray analysis, and compared the results with the presence of translocations as assessed by dual-color FISH or RT-PCR. The t(4;14) was found in six MMs, t(11;14) in 9 MMs and 1 PCL, t(6;14) in one MM, t(14;16) in 2 MMs and 1 PCL, and t(14;20) in one PCL. The translocations were associated with the spiked expression of target genes in all cases. Furthermore, gene expression profiling allowed the identification of putative translocations dysregulating CCND1 (1 MM and 1 PCL) and MAFB (1 MM and 1 PCL) without any apparent involvement of immunoglobulin loci. Notably, all of the translocations were mutually exclusive. Markedly increased levels of MMSET expression were found in one MM showing associated FGFR3 and MMSET signals on an unidentified chromosome. Our data suggest the importance of using combined molecular cytogenetic and gene expression approaches to detect genetic aberrations in MM.

Characterization of Oncogene Dysregulation in Multiple Myeloma by Combined FISH and RT-PCR Analyses.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 5056-5056
Author(s):  
Shenxian Qian
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Target Genes ◽  
Expression Profiles ◽  
Youden Index ◽  
Rt Pcr ◽  
Chi Square ◽  
Pcr Product ◽  
Fish Samples ◽  
Chi Square Test

Abstract Chromosomal translocations involving the immunoglobulin heavy chain (IGH) locus and various partner loci frequently are associated with multiple myeloma (MM). We investigated the expression profiles of the FGFR3/MMSET, CCND1, CCND3, MAF genes, which are involved in t(4;14)(p16.3;q32), t(11;14)(q13;q32), t(6;14)(p21;q32), and t(14;16)(q32;q23), respectively. The analysis was performed by RT-PCR from purified plasma cell populations from 57 MMs and we compared the results with the presence of translocations as assessed by dual-color FISH. A t(4;14) was found in 11MMs, t(11;14) in 9 MMs, t(6;14) in 5 MM, and t(14;16) in 4 MMs. In all cases, the translocations were associated with the spiked expression of target genes. Furthermore, gene expression profiling enabled the identification of putative translocations causing dysregulation of CCND1 (1 MM) and MAF (1 MM) without any apparent involvement of immunoglobulin loci. Notably, all of the translocations were mutually exclusive. IGH-MMSET hybrid transcripts were found in 10 of the 57 (17.7%) MM samples. There was complete concordance between the findings of RT-PCR and FISH analyses of the MM samples, with 19.2% (11/57) t(4; 14) detected by FISH. Samples were separated further into three major groups based on the size of the RT-PCR product. The 1064bp, 438bp, and 275bp of IGH-MMSET were found in 7, 2, and in 1 sample, respectively. We then screened all 57 MM samples for the expression of FGFR3 using RT-PCR, with primers amplifying the 283bp fragments. Specific transcripts were detected in 11 (19.2%) samples that validate the t(4; 14) from cytogenetic studies. In the remaining 46 MM patients without t(4; 14), and 10 normal bone marrow controls, the FGFR3 amplified transcript was barely detectable. Only one patient sample without t(4; 14) revealed detectable levels of FGFR3 expression. Thus, RT-PCR assay for FGFR3 expression can detect all cases with evident or cryptic t(4; 14) translocation (P&lt; 0.01). Using the primers corresponding to 7–10 exon in 11 cases of MM patients with overexpression of FGFR3, we directly sequenced the FGFR3 cDNA fragments amplified by PCR. Polymorphism (GGC&gt;GGT) was detected in nine of the 11 patients. This polymorphism was tightly associated with higher expression of FGFR3. No FGFR3 mutations were found in the remaining 2 MM patients with overexpression of FGFR3. Our data indicate that RT-PCR is a sensitive and reliable method for the detection of FGFR3 and IGH-MMSET. Translocation t(4; 14) in MM detected by FISH can be validated by RT-PCR method. We examined our result by the Chi-Square test and revealed 90% sensitivity and 100% specificity. The Youden Index remains 0.9. This rapid and reliable detection of FGFR3 and IGH-MMSET overexpression may have practical clinical utility in the analysis and monitoring of the disease in MM patients with t(4; 14). Our data suggest the importance of using combined molecular cytogenetic and gene expression approaches to detect genetic aberrations in MM.

scholarly journals Interleukin-6 gene expression in multiple myeloma: a characteristic of immature tumor cells

Blood ◽  
1993 ◽  
Vol 81 (12) ◽  
pp. 3357-3364 ◽  
Author(s):  
H Hata ◽  
H Xiao ◽  
MT Petrucci ◽  
J Woodliff ◽  
R Chang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Tumor Cells ◽  
Interleukin 6 ◽  
Plasma Cells ◽  
Receptor Gene ◽  
Tyrosine Phosphatase ◽  
Marker Genes ◽  
Target Cells ◽  
Myeloma Cells

Interleukin-6 (IL-6) has been suggested to play a major role in multiple myeloma. To investigate the source and target cells of IL-6 activity in multiple myeloma, expression of the cytokine and its receptor genes by myeloma plasma cells was studied. Tumor cells were sorted from bone marrow aspirates of myeloma patients using 4-parameter gating. Myeloma cells were identified as CD38high CD45negative- intermediate and by their light-scatter characteristics. Sorted cells contained only myeloma plasma cells. No contaminating cells were present as determined morphologically, by monoclonal cytoplasmic Ig analysis, and by polymerase chain reaction (PCR) amplification of marker genes. Myeloma cells from 45% of patients expressed IL-6. IL-6 receptor transcripts were found in 68% of the specimens. IL-6 gene expression correlated with expression of the IL-6 receptor gene (P < .005). Correlations observed between the expression of CD45, a protein tyrosine phosphatase expressed by B lymphocytes but not by plasma cells, and the expression of the IL-6 and IL-6-receptor genes (P < .0002 and P < .005, respectively) suggest that an autocrine IL-6 loop is functioning in myeloma in preplasma cells.

scholarly journals Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Duojiao Chen ◽  
Mohammad I. Abu Zaid ◽  
Jill L. Reiter ◽  
Magdalena Czader ◽  
Lin Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Bone Marrow ◽  
Single Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cell Type ◽  
Myeloma Cells ◽  
Freeze Thaw ◽  
Single Cell Rna Sequencing

Single-cell RNA sequencing reveals gene expression differences between individual cells and also identifies different cell populations that are present in the bulk starting material. To obtain an accurate assessment of patient samples, single-cell suspensions need to be generated as soon as possible once the tissue or sample has been collected. However, this requirement poses logistical challenges for experimental designs involving multiple samples from the same subject since these samples would ideally be processed at the same time to minimize technical variation in data analysis. Although cryopreservation has been shown to largely preserve the transcriptome, it is unclear whether the freeze-thaw process might alter gene expression profiles in a cell-type specific manner or whether changes in cell-type proportions might also occur. To address these questions in the context of multiple myeloma clinical studies, we performed single-cell RNA sequencing (scRNA-seq) to compare fresh and frozen cells isolated from bone marrow aspirates of six multiple myeloma patients, analyzing both myeloma cells (CD138+) and cells constituting the microenvironment (CD138−). We found that cryopreservation using 90% fetal calf serum and 10% dimethyl sulfoxide resulted in highly consistent gene expression profiles when comparing fresh and frozen samples from the same patient for both CD138+ myeloma cells (R ≥ 0.96) and for CD138– cells (R ≥ 0.9). We also demonstrate that CD138– cell-type proportions showed minimal alterations, which were mainly related to small differences in immune cell subtype sensitivity to the freeze-thaw procedures. Therefore, when processing fresh multiple myeloma samples is not feasible, cryopreservation is a useful option in single-cell profiling studies.

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