Mesenchymal Stem Cells Preconditioned with Myeloma Cells from High-Risk Patients Support the Growth of Myeloma Cells from Low-Risk Patients

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3304-3304 ◽  
Author(s):  
Syed Mehdi ◽  
Sharmin Khan ◽  
Wen Ling ◽  
Randal S Shelton ◽  
Joshua Epstein ◽  
...  

Abstract Introduction: Each disease stage in myeloma (MM) is associated with parallel changes in both the MM clone and the bone marrow (BM) microenvironment. Mesenchymal cell lineages derived from mesenchymal stem cells (MSCs), including osteoblasts, adipocytes and pericytes play an important role in MM cell growth mediated by the modification of the MM niche in the BM. The overall goal of the study was to test and identify changes induced in MSCs by high-risk (HR) MM cells that impact MSC function and promote oncogenic pathways capable of supporting low-risk (LR) MM cells. Methods: Normal MSCs were either cultured alone ("unconditioned") or co-cultured with MM cells for 5 days. The cultured and co-cultured cells were trypsinized, replated for 40 min, followed by serial washing to remove MM cells from the adherent MSCs. More than 95% of the remaining adherent cells after co-culture were MSCs ("preconditioned"). The unconditioned and preconditioned MSCs or their 24 hrs conditioned media (CM; 50%) were tested for their ability to support the 5-days growth of CD138+ MM cells from LR (n=4) and HR (n=3) patients. To identify factors altered in MSCs by HR MM cells, the unconditioned and preconditioned MSCs and their serum-free conditioned media (n=4) underwent gene expression profiling and proteomic analysis. Whole bone biopsy gene expression profiles from newly diagnosed patients with MM enrolled in Total Therapy clinical trials were used to correlate the altered expression of factors in preconditioned MSCs with their expression in clinical samples. Results: Growth of all MM cells tested was increased by inclusion of MSCs preconditioned with HR MM cells by 2.2± 0.2 (p<0.0004) and by CM from these MSCs by 9.6±2.0 (p<0.006), compared to culture of MM cells in fresh media. In contrast, CM from unconditioned MSCs increased growth of HR MM cells by 2.6±0.6 (p<0.01) fold but had minor effect on growth of LR MM cells. CM from MSCs preconditioned with HR MM cells increased growth of LR and HR MM cells by 5.7±0.1 (p<0.0002) and 2.6±1.2 (p<0.04), compared to culture of MM cells in CM from unconditioned MSCs, respectively. Growth of LR MM cells was higher by 2.9±0.3 fold using CM from MSCs preconditioned with HR MM cells than by using CM from MSCs preconditioned with LR MM cells (p<0.005). To determine the role of cell-cell contact, we compared the effect of the preconditioned MSCs and their CM on growth of LR and HR MM cells. Growth of LR MM cells (p< 0.003) and HR MM cells (p< 0.005) was higher when cultured in CM than in co-culture with MSCs. These data imply that soluble factors from preconditioned MSCs support MM cell proliferation and that adhesion of MM cells to MSCs may restrain proliferation. Genes overexpressed in preconditioned MSCs included growth factors (e.g. IL6) and receptors (e.g. EDNRA); genes underexpressed include factors associated with activity of osteoblasts (e.g. ITGBL1) and adipocytes (IGFBP2). A proteomic analysis showed a reduced level of the secreted factors IGFBP2 and ITGBL1 and increase level of IL6 in CM from MSCs preconditioned with HR MM cells compared to CM from unconditioned MSCs. IGFBP2 mediates local bioavailability of IGF1 and IGF2 and is also involved in bone formation and angiogenesis independently of the IGF axis. ITGBL1 is involved in osteoblastogenesis whereas EDNRA is known to be expressed by pericytes. Global gene expression profiles from patient material showed that EDNRA and IGFBP2 are not expressed in MM cells but are highly expressed in cultured MSCs compared to hematopoietic cells in buffy coat BM samples. EDNRA is overexpressed (p<0.005) whereas IGFBP2 is underexpressed (p<0.005) in whole BM biopsy samples from MM patients with HR disease compared to patients with LR disease (p<0.005) and in Focal Lesion compared to random BM biopsies taken from the same patients (p<0.0000006 for EDNRA and p<0.02 for IGFBP2). IHC staining of patients' bone biopsies showed higher numbers of EDNRA+ mesenchymal-like cells in MM (n=10) than MGUS/AMM (n=10, p<0.0003) and in HR MM BM than LR MM BM (p<0.03). IHC analysis also revealed that IGFBP2 is highly expressed by immature adipocytes and that its expression in these cells is reduced in HR MM BM. Conclusion: Preconditioning of MSCs is essential for promoting growth of MM cells from LR patients. Factors altered in MSCs by HR MM cells are linked to signaling pathways known to directly stimulate MM cell growth and markers associated with distinct MSC lineages changed in HR MM niche. Disclosures Davies: Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Barlogie:Signal Genetics: Patents & Royalties. Morgan:Janssen: Research Funding; Univ of AR for Medical Sciences: Employment; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Bristol Meyers: Consultancy, Honoraria.

Author(s):  
Ana M. Sotoca ◽  
Michael Weber ◽  
Everardus J. J. van Zoelen

Human mesenchymal stem cells have a high potential in regenerative medicine. They can be isolated from a variety of adult tissues, including bone marrow, and can be differentiated into multiple cell types of the mesodermal lineage, including adipocytes, osteocytes, and chondrocytes. Stem cell differentiation is controlled by a process of interacting lineage-specific and multipotent genes. In this chapter, the authors use full genome microarrays to explore gene expression profiles in the process of Osteo-, Adipo-, and Chondro-Genic lineage commitment of human mesenchymal stem cells.


Gene ◽  
2004 ◽  
Vol 340 (1) ◽  
pp. 141-150 ◽  
Author(s):  
Shih-Chieh Hung ◽  
Ching-Fang Chang ◽  
Hsiao-Li Ma ◽  
Tain-Hsiung Chen ◽  
Larry Low-Tone Ho

2019 ◽  
Vol 120 (7) ◽  
pp. 11842-11852 ◽  
Author(s):  
Simone Ortiz Moura Fideles ◽  
Adriana Cassia Ortiz ◽  
Amanda Freire Assis ◽  
Max Jordan Duarte ◽  
Fabiola Singaretti Oliveira ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e83363 ◽  
Author(s):  
Dae Seong Kim ◽  
Myoung Woo Lee ◽  
Keon Hee Yoo ◽  
Tae-Hee Lee ◽  
Hye Jin Kim ◽  
...  

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2305-2305
Author(s):  
Thomas L. Ortel ◽  
Michele Beckman ◽  
W Craig Hooper ◽  
Deborah A Lewis ◽  
Jen-Tsan A. Chi ◽  
...  

Abstract Abstract 2305 Background. Recurrent venous thromboembolism (VTE) occurs in ∼30% of patients with spontaneous VTE after completion of a standard course of anticoagulant therapy. D-dimer levels and selected clinical parameters have been used to identify patients at low risk for recurrent VTE, who may safely discontinue antithrombotic therapy. We have used gene expression profiles to distinguish patients with a single VTE from patients with recurrent VTE. The purpose of this study was to extend this initial report and identify unique gene expression patterns from whole blood that correlate with different risk profiles for VTE recurrence. Methods. Patients with ≥1 prior VTE, with the first event occurring at age 18 years or older and >3 months from the most recent event were recruited for this study. Patients were allocated into 4 groups: (1) ‘low-risk’ patients had sustained ≥1 provoked VTE; (2) ‘moderate-risk’ patients had sustained 1 unprovoked VTE (with or without provoked VTE); (3) ‘high-risk’ patients had sustained ≥2 unprovoked VTE and had no evidence for antiphospholipid antibodies; and (4) antiphospholipid syndrome (APS) patients met established consensus criteria for APS. A similar number of individuals with no prior history of VTE were enrolled as a control population. Citrated plasma, serum and PAXgene RNA tubes were collected, processed and stored at −80°C until shipped to the CDC for analysis. Antiphospholipid testing was performed on all participants to confirm correct group distribution. Total RNA was isolated from whole blood drawn into PAXgene tubes. Following sample labeling and normalization, cRNA samples were hybridized to Illumina HT-12 Beadchips to assay whole genome gene expression with over 47,000 probes against human transcripts. Two hundred and twenty six unique samples passed initial quality control measures. Quality assessment of raw data was done using GenomeStudio. The raw data files were converted to a text file using the IlluminaExpression FileCreator in GenePattern and then log transformed, normalized and median-centered using Cluster. Both unsupervised (hierarchical clustering using Cluster) and supervised analyses (SAM) were used to identify genes that were differentially expressed between the groups. GATHER was used to help understand the biological processes and gene ontology of the gene lists generated by Cluster and SAM. Results. A total of 226 participants were enrolled into the study. Characteristics of the patient groups are summarized in the Table. Demographically, the groups were similar except that patients in the high-risk group tended to be older and were more likely male. The number of events per patient, and the proportion on anticoagulant therapy, increased with the risk group. Antiphospholipid antibodies were detected in several patients in each of the 3 non-APS VTE patient groups, but in most cases this was a single test positive; antiphospholipid antibodies were present in the majority of patients with APS, typically with more than one test positive (37 of 45 with complete testing, 82%). Preliminary analysis of the gene expression profiles using an unsupervised clustering by gene on the high-risk and low-risk groups identified multiple genes that distinguished the two groups, including 18 immune response genes identified by GATHER. These two patient groups were also distinguished by SAM analysis, and multiple genes in the MAPK signaling pathway that separated the two groups were identified by the KEGG pathways in GATHER. Additional analyses are being performed on all of the groups. Conclusions. Whole blood gene expression profiling can be used to develop profiles that distinguish patients with VTE who differ based on their risk of recurrent events. Individual genes identified in these profiles may provide biological insights into the molecular basis for recurrent VTE. Disclosures: Heit: Daiichi Sankyo: Honoraria; Ortho-McNeil Janssen: Honoraria; Covidien: Honoraria. Manco-Johnson:Octapharma AG: Consultancy; Bayer: Research Funding.


Gene ◽  
2020 ◽  
Vol 724 ◽  
pp. 144151 ◽  
Author(s):  
Femke Mathot ◽  
Nadia Rbia ◽  
Roman Thaler ◽  
Allen T. Bishop ◽  
Andre J. Van Wijnen ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jia-qi Wu ◽  
Lin-bo Mao ◽  
Ling-feng Liu ◽  
Yong-mei Li ◽  
Jian Wu ◽  
...  

Abstract Background The purpose of present study was to identify the differentially expressed genes (DEGs) associated with BMP-9-induced osteogenic differentiation of mesenchymal stem cells (MSCs) by using bioinformatics methods. Methods Gene expression profiles of BMP-9-induced MSCs were compared between with GFP-induced MSCs and BMP-9-induced MSCs. GSE48882 containing two groups of gene expression profiles, 3 GFP-induced MSC samples and 3 from BMP-9-induced MSCs, was downloaded from the Gene Expression Omnibus (GEO) database. Then, DEGs were clustered based on functions and signaling pathways with significant enrichment analysis. Pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) demonstrated that the identified DEGs were potentially involved in cytoplasm, nucleus, and extracellular exosome signaling pathway. Results A total of 1967 DEGs (1029 upregulated and 938 downregulated) were identified from GSE48882 datasets. R/Bioconductor package limma was used to identify the DEGs. Further analysis revealed that there were 35 common DEGs observed between the samples. GO function and KEGG pathway enrichment analysis, among which endoplasmic reticulum, protein export, RNA transport, and apoptosis was the most significant dysregulated pathway. The result of protein-protein interaction (PPI) network modules demonstrated that the Hspa5, P4hb, Sec61a1, Smarca2, Pdia3, Dnajc3, Hyou1, Smad7, Derl1, and Surf4 were the high-degree hub nodes. Conclusion Taken above, using integrated bioinformatical analysis, we have identified DEGs candidate genes and pathways in BMP-9 induced MSCs, which could improve our understanding of the key genes and pathways for BMP-9-induced osteogenic of MSCs.


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