Identification of Genes Associated with Increased Bone Marrow Angiogenesis in Multiple Myeloma.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 5109-5109
Author(s):  
Michael Kline ◽  
S. Vincent Rajkumar ◽  
Jessica Haug ◽  
Linda Wellik ◽  
John A. Lust ◽  
...  

Abstract Introduction: Increased bone marrow angiogenesis is a characteristic feature of multiple myeloma (MM) and correlates with disease progression. Increased bone marrow angiogenesis at the time of diagnosis, measured in terms of microvessel density (MVD), is a powerful adverse prognostic factor for patients with MM. To better understand the biological basis of this phenomenon and to understand the mechanisms responsible for increased MVD in MM we compared the gene expression profiles of plasma cells from newly diagnosed MM patients with low and high MVD. Methods: Bone marrow biopsy sections from pts with newly diagnosed MM were studied using CD34 immunostaining and graded as low, intermediate, or high by MVD as previously described. 19 pts each, with low or high MVD were included for this study. RNA was isolated from CD138+ plasma cells of MM patients and analyzed using Affymetrix HG-U133A arrays. To examine differential expression, GC-RMA normalized data was analyzed using GeneSpring 7.2 software and genes with ≥ 2-fold differential expression between high and low MVD samples were identified. The Welch T-test was used to determine the significance of differential expression. Results and Conclusion: Expression of 42 transcripts was increased ≥ 2-fold in samples with high MVD in comparison to samples with low MVD. Of these transcripts, 14 were found to be significantly increased (P<0.05) using the Welch T-test (see Table 1). Expression of 16 transcripts was decreased ≥ 2-fold in samples with high MVD in comparison to samples with low MVD. Of these transcripts, 6 were found to be significantly decreased (P<0.05) using the Welch T-test (see Table 1). Genes differentially expressed include those involved in inhibiting apoptosis, facilitating IL-6 signaling, ion transport, extracellular matrix interaction, and regulating gene expression. Classical angiogenesis genes including VEGF, FGF, and IGF were not found to be differentially expressed (> 2-fold). In conclusion, the list of differentially expressed genes reveals many functions relevant to MM disease pathology including proliferation, apoptosis, regulation of gene expression, cytokine signaling, and adhesion. Current studies evaluating the expression and function of these genes in relation to MM may identify factors critical for angiogenesis and MM progression and provide insight for therapeutic intervention. Gene Description Fold Change COL1A2 collagen, type I, alpha 2 3.008 MCL1 myeloid cell leukemia sequence 1 (BCL2-related) 2.793 209183_s_at chromosome 10 open reading frame 10 2.541 VIL2 villin 2 2.478 IL6ST interleukin 6 signal transducer (gp130) 2.404 CLIC2 chloride intracellular channel 2 2.364 DEPDC6 DEP domain containing 6 2.35 PBXIP1 pre-B-cell leukemia transcription factor interacting protein 1 2.337 CLIC4 chloride intracellular channel 4 2.334 CYP51A1 cytochrome P450, family 51, subfamily A, polypeptide 1 2.095 LIMS1 LIM and senescent cell antigen-like domains 1 2.091 YWHAE tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, epsilon polypeptide 2.042 OAS1 2′,5′-oligoadenylate synthetase 1, 40/46kDa 2.031 S100A11 S100 calcium binding protein A11 2.018 222378_at unknown transcribed sequences 0.496 SLC5A3 mitochondrial ribosomal protein S6 0.463 213089_at unknown transcribed sequences 0.406 PDE4B phosphodiesterase 4B, cAMP-specific 0.454 SVIL supervillin 0.386 RIPX rap2 interacting protein x 0.383

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3155-3155
Author(s):  
Carlos Fernandez de Larrea ◽  
Tania Diaz ◽  
Alfons Navarro ◽  
Ester Lozano ◽  
Mari-Pau Mena ◽  
...  

Abstract Background: Crosstalk between malignant plasma cells and surrounding cells in the bone marrow (BM), such as mesenchymal stromal cells (MSCs), endothelial cells and immune cells, is crucial for pathogenesis of multiple myeloma (MM) and in asymptomatic monoclonal gammopathies. In these diseases, microRNAs (miRNAs) could be useful as biomarkers for diagnosis, prognosis and evaluation of treatment response. miRNAs can be released to the serum and transferred among MM cells and BM-MSCs as cell-cell communication. Previously, we have showed a serum 14-miRNA signature associated with complete remission (CR) after autologous stem-cell transplantation (ASCT). In this sense, patients in CR with partial recovery of two normal serum miRNA levels, similar to those with monoclonal gammopathy of undetermined significance (MGUS), was associated with better prognosis. The aim of this study was to analyze the miRNAs profile in mesenchymal stromal cells derived from bone marrow of patients with multiple myeloma in different status of the disease, comparing with MGUS controls. Methods: We analyzed samples from 95 patients with MGUS (N=23), MM at diagnosis (N=14), relapsed/refractory MM (N=14), MM in partial response (PR) or very good partial response (VGPR) (N=15), MM in CR (N=24) and healthy donors (N=5). Mononuclear cells from BM samples were cultured in DMEM containing 10% FBS. After a week, non-adherent cells were removed, whereas BM-MSCs were selected by their adherence to the plastic and their phenotype was confirmed by multiparametric flow cytometry. In a first screening phase, we analyzed 670 microRNAs in 20 primary BM-MSC from patients with MGUS (N=4), symptomatic MM (N=8) and MM in CR (N=8). miRNAs differentially expressed were identified according to a supervised analysis using significance analysis of microarrays (SAM) and Student's t-test based on multivariate permutation (with random variance model). miRNAs differentially expressed between groups of patients were validated in the whole cohort of BM-MSC from patients. Paired malignant plasma cells (CD38+) miRNA expression from patients with symptomatic MM as well as miRNA in serum samples paired with BM-MSC samples were also compared. RmiR package was used to identify miRNA targets, cross-correlating the miRNA expression data from the present study with our findings on the gene expression signature (Affymetrix Human Genome U219 array) in 12 BM-MSCs from patients (4 MGUS, 4 symptomatic MM and 4 in CR), based on the predicted targets from TargetScan and miRBase databases. Results: In the screening phase, we identified a miRNA profile of 10 miRNAs (miR-663b, miR-654-3p, miR-206, miR-411*, miR-885-5p, miR-668, miR-638, miR-485-3p, miR-744* and miR-199a) differentially expressed between patients with symptomatic MM and MM in CR (adjusted p-value <0.0001). In the validation phase, miR-485-3p and miR-654-3p resulted differentially expressed in the three groups of patients: MGUS, symptomatic MM and patients in CR (ANOVA test: p=0.0101 and p=0.0228, respectively). The levels of these miRNAs were significantly decreased in patients with MM than in those with MGUS, and these levels seemed to recover when patients achieved CR. These two miRNAs (miR-485-3p and miR-654-3p) were also correlated with all degrees of response in MM and with asymptomatic gammopathies (ANOVA test: p=0.0154 and p=0.0487, respectively). Moreover, paired cross-correlation among these two miRNAs expression with our results in mRNA gene expression profile data showed 324 for miR-485-3p and 265 for miR-654-3p genes (correlation index < -0.8) (Figure 1A and 1B). miR-485-3p and miR-654-3p showed a higher expression in BM-MSC than in MM CD38+ cells, suggesting MSC as cell of origin for these miRNAs. Serum expression of these two miRNAs was concordant with the observed in BM-MSC, with higher in patients in CR and MGUS than in those with symptomatic MM (Figure 1C and 1D). miRNA expression in BM-MSC supernatant as well as the identification of the biological role and validation of the miRNA targets are ongoing. Conclusion: miR-485-3p and miR-654-3p expression in mesenchymal stromal cells from bone marrow in patients with multiple myeloma and asymptomatic monoclonal gammopathies is related to the status of the disease and the response to treatment. These miRNAs are also expressed in serum, resulting in potential biomarkers for disease activity and risk of progression. Disclosures Rosinol: Janssen, Celgene, Amgen, Takeda: Honoraria. Bladé:Janssen: Honoraria.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1892-1892
Author(s):  
Alicia Baez ◽  
Jose Ignacio Piruat ◽  
Teresa Caballero-Velazquez ◽  
María Victoria Barbado ◽  
Isabel Alvarez-Laderas ◽  
...  

Abstract Introduction Memory B cells (MBCs) remain viable in a non-proliferative state for years. These cells express genes involved in cell survival and anti-apoptotic factors, while repress the expression of cell cycle regulatory genes. During their differentiation into plasma cells (PCs), these cells develop an opposite gene expression pattern, with a higher expression of genes implicated in cell proliferation and activation, and a lower expression of survival genes. In multiple myeloma (MM) the PCs accumulate into the bone marrow due, at least in part, to failure of pro-apoptotic mechanisms normally expressed in PCs. In the present study we analyzed the gene expression patterns of MBCs and PCs from healthy donors and patients with MM, in order to determine whether or not myelomatous PCs share characteristics of MBCs and/or normal PCs, and to identify possible genes related to the pathophysiology of the disease. Methods MBCs were obtained by immunomagnetic separation from buffy coats of 5 aged healthy donors. Likewise, PCs were isolated from bone marrow of 6 healthy donors and of 5 patients with MM. Using microarray techniques we analyzed the expression of 45000 genes in all samples. We performed unsupervised hierarchical cluster of gene expression data using the average linkage and the Euclidean distance. To identify differentially expressed genes among experimental groups we applied non-parametric Kruskal Wallis test. The differences in expression with a p value < 0.05 were considered significant. All analyses were performed using the Multi-experiment Viewer 4.7.1 software. Results From the hierarchical cluster obtained we clearly identified two groups, one which included normal PCs samples and the other one containing myelomatous PCs and MBCs. Interestingly, myelomatous PCs displayed intermediate features between MBCs and normal PCs (Figure 1). We found 5159 genes differentially expressed between normal and myelomatous PCs. Among these, we identified 3455 genes which displayed a similar expression pattern between MBCs and myelomatous PCs, including caspases inhibitors, MAP kinases, ubiquitins, transcription and translation factors. Conclusion Myelomatous PCs display an intermediate gene expression pattern between normal PCs and MBCs. These cells display high expression of genes involved in cell survival that should be normally inactivated in the transit of MBC to a normal PC, so that its expression pattern is closer to a MBC than a normal PC. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 3480-3480
Author(s):  
Shaji Kumar ◽  
Philip R. Greipp ◽  
Jessica Haug ◽  
Michael Kline ◽  
Emily Blood ◽  
...  

Abstract Background: Thalidomide is an active anti-myeloma agent with single agent activity in all stages of the disease. When combined with dexamethasone disease response is seen in nearly two-thirds of patients with newly diagnosed MM. Though initially evaluated for treatment because of its anti-angiogenic properties and the finding of increased bone marrow angiogenesis in MM, it has become clear that thalidomide exerts its anti-myeloma activity through several different mechanisms. While the mechanism of action of dexamethasone has been studied to a great extent in the setting of myeloma, the molecular basis for the activity of this combination is largely unknown. Methods: Myeloma cells from patients with newly diagnosed MM who were enrolled in a phase III trial (ECOG E1A00) comparing thalidomide and dexamethasone combination (T+D) with dexamethasone alone (D) were studied by gene expression profiling. Samples from diagnosis were compared to those at four months following therapy to study the effect of treatment. Four patients who achieved a partial response with T+D were studied and in addition compared to four patients achieving a partial response with D alone. Plasma cells from bone marrow aspirates were separated by magnetic bead selection of CD138 positive cells and studied using Affymetrix HG-U133A chips using standard methodology. The arrays were analyzed using Genespring 7.2 software following GCRMA normalization and genes with differential expression between the two datasets were examined. Differentially expressed genes were further analyzed using Ingenuity Pathways Analysis program Results: 549 genes were two fold or more differentially expressed between the pretreatment and post treatment samples in the T+D group, of which 275 genes were mapped to different networks using the Ingenuity program. Examination of the canonical pathways demonstrated several pathways that were altered as a result of the therapy. The most significant pathways included those related to immune function including antigen presentation (multiple HLA class II antigens), and PRG2 (NK cell activator). Several mediators of B cell signaling including CD45, PKC (α ,β), SHP2, and Erk1/2 were up regulated following treatment. Increase in the expression of several adhesion molecules including β integrins, fibronectin, VCAM1, L selectin, and LFA3 were noted. Up regulation of IL-6 signaling pathway including gp130, JAK2 and IL8 were noted following therapy. Striking increase in the gene expression for CXCR4 and its ligand SDF-1α was noted as well. 129 genes were differentially regulated by dexamethasone alone, of which 67 were mapped to different networks. The pathways influenced by the dexamethasone alone differed significantly from that of the combination. Conclusion: This exploratory analysis offers an interesting insight into the potential mechanisms of action of the T+D combination in MM. The up regulation of immune response related genes are in accordance with some of the mechanisms described for thalidomide. Also, the differences observed between the patients receiving T+D vs. D allows for assessment of the effects of thalidomide. These findings need confirmation in a larger study.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 511-511 ◽  
Author(s):  
Philippe Bourin ◽  
Jill Corre ◽  
Karène Mahtouk ◽  
Mélanie Gadelorge ◽  
Patrick Laharrague ◽  
...  

Abstract Introduction: The bone marrow microenvironnement (BMMe) play a significant role in the physiopathology of the multiple myeloma (MM). However, its abnormality still remains controversial. To address this question, we studied bone marrow mesenchymal stem cells (MSCs), the only long-lived cells of the BMMe. We compared, at a genomic and functional level, the MSCs isolated from patients with MM, to MSCs isolated from healthy subjects and those with monoclonal gammopathy of unknown significance (MGUS). Material and methods : Bone marrow samples from 26 MM patients, 7 MGUS patients and 11 healthy individuals were compared. The MSCs were selected by their adherence on plastic and were cultured in alpha-MEM medium + 10% SVF and antibiotics during 2 passages (primo-culture = P0 and first passage = P1). The gene expression profiling was carried out by Affymetrix GeneChip microarrays (U133 plus 2.0). The expression of interesting differentially expressed genes was validated by ELISA or qRT-PCR. The phenotype was studied by flow cytometry (CD45, CD90, CD73, CD13, CD14). The CFU-F frequencies in BM samples and in cell suspensions after P0 and P1 were studied as well as the cell productions after P0 and P1. The osteoblastic differentiation was evaluated both by alkaline phosphatase dosing and matrix mineralization quantification. We also carried out co-cultures of the MSCs with CD34+ cells to quantify their hematopoietic supportive potential. Finally XG1 and Molp-6, respectively stroma independent and stroma dependent cell lines, were co-cultured with MSCs to check the capacity of the MSCs to support malignant plasma cell growth. Results: Gene expression profile independently classified the MSCs in a normal and in a MM group. MGUS MSCs were interspersed between those 2 groups. 145 distinct genes were differentially expressed in MM and normal MSCs. Among them, 46% could be involved in tumor-microenvironment cross-talk. Known soluble factors involved in MM physiopathologic features, such as IL-6, IL-1ß, DKK1 and amphiregulin, were identified and new ones found. In particular growth and differentiation factor-15 (GDF-15), already described as a accurate biomarker of numerous tumours, was significantly overexpressed (p&lt;0.001) in MM MSCs both at mRNA and protein levels (183.5 ± 64.9 vs 749 ± 90.9 for mRNA, 1 10−4 pg/cell ± 1.9 10−5 pg/cell vs 4.3 10−4 pg/cell ± 1.4 10−4 pg/cell for protein respectively for normal and MM MSCs). It was also able to induce dose-dependant growth of Molp-6, in the absence of a supportive stroma. The phenotype and the CFU-F frequencies and the cell productions were similar in the 3 groups of MSCs and their hematopoietic supportive capacity was maintained. The MM MSCs complete differentiation towards the osteoblastic lineage, evaluated quantitatively, was faded. And very importantly, MM MSCs constituted a better supportive feeder layer for the Molp-6 cell line as compared to normal MSCs (cell expansion after 7 days : 2.1 ± 0.3 vs 3.3 ± 0.4, p = 0.04, respectively for normal and MM MSCs). On the other hand, the growth of XG1 was not influence by the subject origin of the MSCs. Conclusion: Our results show that the MSCs, like the malignant plasma cells, are abnormal in MM. This confirms the place of microenvironnement in the physiopathology of the MM and makes it possible to identify new potential therapeutic targets.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4034-4034
Author(s):  
Dominik Dytfeld ◽  
Malathi Kandarpa ◽  
Stephanie J Kraftson ◽  
John R Strahler ◽  
Dattatreya Mellacheruvu ◽  
...  

Abstract Abstract 4034 Introduction: Multiple myeloma (MM) is a monoclonal gammopathy characterized by the uncontrolled proliferation of plasma cells (PCs). The lack of knowledge about MM cell biology compared to normal PCs is hindering the discovery of myeloma specific targeted therapeutics. Current therapeutics target broad cellular functions such as suppression of the bone marrow environment, myeloma cell proliferation and induction of apoptosis. The objective of our study was to determine biomarkers of the disease and identify new potential targets for future therapeutics, and therefore increase treatment options for MM. We utilized quantitative proteomics using an iTRAQ-based approach to identify biomarkers that can distinguish between MM and normal PCs. Methods: Tonsil tissues, removed from patients suffering from sleep apnea syndrome who consented for tissue repository, were the source of normal PCs. First, the tonsil cells were depleted of T-cells, granulocytes and macrophages using RosetteSep® antibody cocktail and, subsequently, CD138+ PCs were isolated by EasySep® magnetic bead selection. Bone marrow aspirates from MM patients who consented for IRB-approved MM repository protocol, were enriched for PCs with RosetteSep® antibody cocktail. PC percentage for purity assessment was performed by Wright-Giemsa staining of cytospin preparations. PCs (250,000) were lysed and proteomic profiles were generated by iTRAQ 4-plex methods where 2 tonsil PCs (TPC) and 2 MM plasma cells (MMPC) were in each 4-plex. After labeling with iTRAQ tags, the proteins were fractionated by cation exchange chromatography followed by LC-MS/MS analysis on a MALDI-TOF/TOF™ analyzer. The data were analyzed and quantification performed using ProteinPilot™ software. Real time PCR of cDNA from TPC and two independent MMPC samples was performed to validate the results. Results: We consistently obtained 100–250,000 normal PCs from each tonsil sample, at a purity of >80%. To obtain reliable data from proteomics we required >200,000 cells and therefore tonsil pools were utilized wherever necessary. Three types of MM patient samples were studied: newly diagnosed MM, relapsed MM and plasma cell leukemia. We detected and quantified 848 proteins with high confidence from three 4-plex iTRAQ experiments (FDR <5%). Proteins were determined as differentially expressed (MMPCs vs TPCs) if 5 of 6 MMPCs showed difference in expression in 3 independent iTRAQ experiments, or all 4 of 4 MMPCS in two experiments. We identified 11 proteins that qualified as differentially expressed in MMPCs vs TPCs, irrespective of MM subset. Of the 11 proteins, 3 were downregulated and 8 were upregulated in MMPCs. The differential expression of 7 proteins, considered possibly relevant in PC biology, was validated at the mRNA level by real time PCR assay. Two proteins, Clu1 (clusterin) and Basp1 (brain acid soluble protein 1, Nap-22) were expressed at lower levels in MMPCs. Their down-regulation was validated in two independent MM samples by real time PCR. These two proteins also enriched a network (P=1.24E-6, z score=46.43) identified in GeneGo Metacore™ platform for pathway analysis. This network showed that clusterin and Basp1 might play a role in pathways that regulate pro-apoptotic proteins Bax and Bak, which are in turn regulated by c-Myc, a key transcription factor that controls growth of myeloma cells. Validation by immunoblotting for the biomarkers identified is in progress. Conclusion: We have successfully isolated a sufficient number of PCs from tonsils to compare proteomic profiles of tonsilar PCs, from subjects without malignancy, with PCs from bone marrows of MM patients. Our analysis has identified clusterin and Basp1 as proteins that are differentially expressed between TPCs and MMPCs, and therefore might play a role in disease physiology. Regulatory pathways identified in this study might be candidates for myeloma-specific therapeutic intervention. This study was partly supported by a grant from the Multiple Myeloma Research Foundation. Disclosures: Jakubowiak: Millennium, Celgene, Bristol-Myers Squibb, Johnson & Johnson Ortho-Centocor: Honoraria; Millennium, Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Millennium, Celgene, Centocor-Ortho Biotech: Speakers Bureau.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5639-5639
Author(s):  
Tereza Sevcikova ◽  
Fedor Kryukov ◽  
Lucie Brozova ◽  
Jana Filipova ◽  
Zuzana Kufova ◽  
...  

Abstract Introduction: Release of the aberrant plasma cells (PC) from the bone marrow (BM) and their presence in the peripheral blood (PB) is a maker of disease progression and worse survival in multiple myeloma (MM) (Nowakowski et al., 2005). Circulating plasma cells (cPCs) are able to survive without homing microenvironment, evade the original tumor and colonize other bone marrow niche. Detailed analysis of various surface proteins showed that cPCs display decreased levels of integrins, adhesion molecules N-CAM (CD56) and the stem cell factor receptor (Paiva et al., 2013). Comprehensive analysis of the genome-wide gene expression profiling that could provide deeper insight into the expression patterns of cPCs of MM is still lacking. Aims: To identify differentially expressed genes in paired samples of aberrant plasma cells from BM and PB and to describe potential biomarkers of cPCs in MM. Material and methods: Ten patients with multiple myeloma (seven new diagnoses and three relapses) have been included in the study after signing the informed consent form. Paired samples of aberrant plasma cells from bone marrow and peripheral blood were obtained from each patient. Aberrant plasma cells (aPCs) were sorted according to the immunophenotype as CD45dim/CD38+/CD19-/CD56-/+ cells. Gene expression profiling (GEP) was performed on paired samples using Affymetrix GeneChip Human Gene ST 1.0 array. RMA normalized data at gene level were analyzed using Wilcoxon paired test with Benjamini-Hochberg multiple testing correction. Results: The median infiltration of aberrant PC in the BM was 27.5% (range 1.1 - 93%) and 1.2% (range 0.19 - 2.8%) for cPCs in the PB. The median level of M-protein was 32.35 g/l (range 18.6 - 62.2 g/l). GEP analysis of paired BM and PB samples revealed 1001 significantly changed genes in cPCs (adjusted p-value<0.05). Gene ontology analysis did not reveal any significantly affected pathways. Nevertheless, two genes upregulated in cPCs, ADGRE5 and CD44, can be suggested as biologically relevant potential biomarkers of cPCs (Figure 1). Conclusion: The infiltration of aPCs in the bone marrow does not correlate with the amount of cPCs (p=0.16). Among differentially expressed genes, two surface markers upregulated in cPCs are of particular interest: CD44 and ADGRE5 (CD97). The CD44 antigen is a cell-surface glycoprotein involved in cell-cell interactions, cell adhesion and migration. Moreover, CD44 contribute to lenalidomide resistance in multiple myeloma (Bjorklund et al., 2014). CD97 is encoded by ADGRE5 gene and belongs to the EGF-TM7 subgroup of adhesion G-protein-coupled receptors. The expression of CD97 has been linked to invasive behavior in thyroid and colorectal cancer. Moreover, higher CD97 expression levels have been detected in 54% (208/385) of primary AML samples based on flow cytometric analysis (Wobus et al., 2015). Nevertheless, neither ADGRE5 nor CD97 expression were described in plasma cell dyscrasia previously. Thus, despite non-systemic changes of gene expression at the whole transcriptome level, cPCs in MM likely represent distinct biological entity with specific expression profile underlying advanced PC malignant transformation. To confirm the results, flow cytometric analysis on the bigger cohort will be performed. Acknowledgment: This study was supported by Institutional Development Plan of University of Ostrava (IRP201550) and The Ministry of Education, Youth and Sports (Specific university research of the Faculty of Medicine, University of Ostrava) project no. SGS03/LF/2015-2016, Ministry of Health Czech Republic RVO-FNOs/2014/17P and RVO-FNOs/2016/21. Figure 1 Genes of interest differentially expressed in the bone marrow (BM) versus peripheral blood (PB) aberrant plasma cells. Figure 1. Genes of interest differentially expressed in the bone marrow (BM) versus peripheral blood (PB) aberrant plasma cells. Disclosures Hajek: BMS: Honoraria; Onyx: Consultancy; Novartis: Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2672-2672
Author(s):  
Moritz Binder ◽  
Raphael E. Szalat ◽  
Mariateresa Fulciniti ◽  
Giovanni Parmigiani ◽  
Mehmet K. Samur ◽  
...  

Abstract Introduction: Stromal cells in the bone marrow microenvironment maintain a complex bidirectional relationship with the malignant plasma cells and have been implicated in the growth and survival of multiple myeloma (MM) cells along with the development of drug resistance and disease progression. We hypothesized that the perpetual induction of gene expression changes similar to those induced by stromal interactions may lead to an aggressive disease phenotype and possible stromal independence. We investigated the chromatin remodeling and associated gene expression changes in malignant plasma cells induced by stromal cells and applied the findings to large sets of patient data. Methods: We interrogated the chromatin accessibility (ATAC-seq) and gene expression profiles (RNA-seq) of malignant plasma cells (INA6, MM1S, RPMI) after co-culture with stromal cells (HS5). We identified de novo accessible enhancers and associated them with their putative target genes within conserved topologically associating domains based on their proximity in the linear genome. The in vitro data were then applied to data from patients with newly diagnosed MM (n=559). Using proportional hazards regression and automated feature selection algorithms we selected 10 of the 68 overexpressed target genes based on their association with progression-free survival. We devised a dichotomous classifier based on the expression of these 10 genes and validated its independent prognostic significance and ability to predict therapeutic resistance in two additional patient cohorts (n=214 and n=635, respectively). We applied gene set enrichment analysis to interrogate whether the gene expression profile induced by these adverse stromal interactions recapitulates the transcriptional program of extramedullary malignant plasma cells using single-cell RNA-seq. Results: Co-culture of malignant plasma cells with stromal cells induced widespread chromatin remodeling including de novo accessibility of known cis-regulatory elements and the overexpression of their putative target genes (68 overexpressed genes with associated accessible enhancers, overlap p=1.05x10 -13). The expression of 10 of these 68 genes was independently associated with progression-free survival in the UAMS TT2/3 data set (n=559). A summary measure of the expression of these 10 genes was dichotomized to classify approximately 30% of patients as having adverse stromal interactions (ASI+). The 10-gene ASI+ classifier was associated with overall survival in three independent patient cohorts with newly diagnosed MM: UAMS TT2/3 (29% ASI+, HR 1.93, 95% CI 1.43-2.62, p&lt;0.001, n=559), IFM 2009 (32% ASI+, HR 2.61, 95% CI 1.67-4.10, p&lt;0.001, n=214), and MMRF IA16 (30% ASI+, HR 1.69, 95% CI 1.29-2.24, p&lt;0.001, n=635). Its prognostic significance was independent of age, sex, ISS stage, elevated LDH, high-risk cytogenetics, and the high-risk transcriptomic classifiers (UAMS-70, EMC-92). The 10-gene ASI+ classifier predicted resistance to first-line therapy in general and to treatment with VRd in particular (OR 1.64, 95% CI 1.10-2.43, p=0.015, MMRF IA16, n=211). Gene set enrichment analysis demonstrated that the gene expression profile of patients with ASI+ recapitulates the transcriptional program of extramedullary malignant plasma cells (5376 circulating plasma cells, NES 1.41, FDR=0.027; 477 plasma cells from malignant effusions, NES 1.37, FDR=0.029). This extramedullary-like gene expression pattern translated into a higher prevalence of circulating plasma cells among newly diagnosed ASI+ patients (54% versus 35%, p=1.65x10 -5, MMRF IA16, n=629) and a higher incidence of bone disease and plasmacytoma progression during follow-up (HR 2.24, 95% CI 1.51-3.31, p&lt;0.001, MMRF IA16, n=622). Conclusions: We identified permissive chromatin states and associated transcriptional programs induced by the interactions between MM cells and bone marrow stromal cells. The constitutive induction of genes in the malignant plasma cells of patients with newly diagnosed MM supported transcriptional programs associated with therapeutic resistance, accelerated disease dissemination, and impaired long-term survival. These changes may allow MM cells to acquire the capacity to sustain extramedullary growth. The development of novel therapeutic approaches to overcome these adverse stromal interactions remains an unmet need in patients with MM. Disclosures Munshi: Adaptive Biotechnology: Consultancy; Karyopharm: Consultancy; Abbvie: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Takeda: Consultancy; Amgen: Consultancy; Oncopep: Consultancy, Current equity holder in publicly-traded company, Other: scientific founder, Patents & Royalties; Novartis: Consultancy; Legend: Consultancy; Pfizer: Consultancy.


2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Weitong Cui ◽  
Huaru Xue ◽  
Lei Wei ◽  
Jinghua Jin ◽  
Xuewen Tian ◽  
...  

Abstract Background RNA sequencing (RNA-Seq) has been widely applied in oncology for monitoring transcriptome changes. However, the emerging problem that high variation of gene expression levels caused by tumor heterogeneity may affect the reproducibility of differential expression (DE) results has rarely been studied. Here, we investigated the reproducibility of DE results for any given number of biological replicates between 3 and 24 and explored why a great many differentially expressed genes (DEGs) were not reproducible. Results Our findings demonstrate that poor reproducibility of DE results exists not only for small sample sizes, but also for relatively large sample sizes. Quite a few of the DEGs detected are specific to the samples in use, rather than genuinely differentially expressed under different conditions. Poor reproducibility of DE results is mainly caused by high variation of gene expression levels for the same gene in different samples. Even though biological variation may account for much of the high variation of gene expression levels, the effect of outlier count data also needs to be treated seriously, as outlier data severely interfere with DE analysis. Conclusions High heterogeneity exists not only in tumor tissue samples of each cancer type studied, but also in normal samples. High heterogeneity leads to poor reproducibility of DEGs, undermining generalization of differential expression results. Therefore, it is necessary to use large sample sizes (at least 10 if possible) in RNA-Seq experimental designs to reduce the impact of biological variability and DE results should be interpreted cautiously unless soundly validated.


Blood ◽  
2010 ◽  
Vol 116 (14) ◽  
pp. 2543-2553 ◽  
Author(s):  
Annemiek Broyl ◽  
Dirk Hose ◽  
Henk Lokhorst ◽  
Yvonne de Knegt ◽  
Justine Peeters ◽  
...  

Abstract To identify molecularly defined subgroups in multiple myeloma, gene expression profiling was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/GMMG-HD4 trial. Hierarchical clustering identified 10 subgroups; 6 corresponded to clusters described in the University of Arkansas for Medical Science (UAMS) classification, CD-1 (n = 13, 4.1%), CD-2 (n = 34, 1.6%), MF (n = 32, 1.0%), MS (n = 33, 1.3%), proliferation-associated genes (n = 15, 4.7%), and hyperdiploid (n = 77, 24.1%). Moreover, the UAMS low percentage of bone disease cluster was identified as a subcluster of the MF cluster (n = 15, 4.7%). One subgroup (n = 39, 12.2%) showed a myeloid signature. Three novel subgroups were defined, including a subgroup of 37 patients (11.6%) characterized by high expression of genes involved in the nuclear factor kappa light-chain-enhancer of activated B cells pathway, which include TNFAIP3 and CD40. Another subgroup of 22 patients (6.9%) was characterized by distinct overexpression of cancer testis antigens without overexpression of proliferation genes. The third novel cluster of 9 patients (2.8%) showed up-regulation of protein tyrosine phosphatases PRL-3 and PTPRZ1 as well as SOCS3. To conclude, in addition to 7 clusters described in the UAMS classification, we identified 3 novel subsets of multiple myeloma that may represent unique diagnostic entities.


2020 ◽  
Vol 63 (2) ◽  
pp. 303-313
Author(s):  
Li Li ◽  
Linli Zhang ◽  
Zhenghong Zhang ◽  
Nemat O. Keyhani ◽  
Qingwu Xin ◽  
...  

Abstract. Testicular transcriptomes were analyzed to characterize the differentially expressed genes between mulard and Pekin ducks, which will help establish gene expression datasets to assist in further determination of the mechanisms of genetic sterility in mulard ducks. Paraffin sections were made to compare the developmental differences in testis tissue between mulard and Pekin ducks. Comparative transcriptome sequencing of testis tissues was performed, and the expression of candidate genes was verified by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). In mulard ducks, spermatogonia and spermatocytes were arranged in a disordered manner, and no mature sperm were observed in the testis tissue. However, different stages of development of sperm were observed in seminiferous tubules in the testis tissue of Pekin ducks. A total of 43.84 Gb of clean reads were assembled into 193 535 UniGenes. Of these, 2131 transcripts exhibited differential expression (false discover rate <0.001 and fold change ≥2), including 997 upregulated and 1134 downregulated transcripts in mulard ducks as compared to those in Pekin duck testis tissues. Several upregulated genes were related to reproductive functions, including ryanodine receptor 2 (RYR2), calmodulin (CALM), argininosuccinate synthase and delta-1-pyrroline-5-carboxylate synthetase ALDH18A1 (P5CS). Downregulated transcripts included the testis-specific serine/threonine-protein kinase 3, aquaporin-7 (AQP7) and glycerol kinase GlpK (GK). The 10 related transcripts involved in the developmental biological process were identified by GO (Gene Ontology) annotation. The KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways indicated that peroxisome proliferator-activated receptors (PPARs) and calcium signaling pathways were significantly (P<0.001) associated with normal testis physiology. The differential expression of select genes implicated in reproductive processes was verified by qRT-PCR, which was consistent with the expression trend of transcriptome sequencing (RNA-seq). Differentially expressed candidate genes RYR2, CALM, P5CS, AQP7 and GK were identified by transcriptional analysis in mulard and Pekin duck testes. These were important for the normal development of the male duck reproductive system. These data provide a framework for the further exploration of the molecular and genetic mechanisms of sterility in mulard ducks. Highlights. The mulard duck is an intergeneric sterile hybrid offspring resulting from mating between Muscovy and Pekin ducks. The transcriptomes of testis tissue from mulard and Pekin ducks were systematically characterized, and differentially expressed genes were screened, in order to gain insights into potential gonad gene expression mechanisms contributing to genetic sterility in mulard ducks.


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