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Originally published as JCO Early Release 10.1200/JCO.2005.03.723 on June 6 2005

Journal of Clinical Oncology, Vol 23, No 23 (August 10), 2005: pp. 5334-5346
© 2005 American Society of Clinical Oncology.

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Thalidomide Downregulates Angiogenic Genes in Bone Marrow Endothelial Cells of Patients With Active Multiple Myeloma

Angelo Vacca, Claudio Scavelli, Vittorio Montefusco, Giulia Di Pietro, Antonino Neri, Michela Mattioli, Silvio Bicciato, Beatrice Nico, Domenico Ribatti, Franco Dammacco, Paolo Corradini

From the Department of Internal Medicine and Clinical Oncology, and Department of Human Anatomy and Histology, University of Bari Medical School, I-70124 Bari; Hematology Operative Unit 2, Ospedale Maggiore, I-20122; Department of Hematology and Bone Marrow Transplantation, Istituto Nazionale dei Tumori, I-20133 Milan; and the Department of Chemical Engineering Processes, University of Padua, I-35131 Padua, Italy

Address reprint requests to Angelo Vacca, MD, Text: 4024, Department of Internal Medicine and Clinical Oncology, Policlinico—Piazza Giulio Cesare, 11 I-70124 BARI, Italy; e-mail: a.vacca{at}dimo.uniba.it.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
PURPOSE: To study the antiangiogenic effect of thalidomide.

PATIENTS AND METHODS: The expression of key angiogenic genes was studied in bone marrow endothelial cells (ECs) of patients with active and nonactive multiple myeloma (MM), monoclonal gammopathies unattributed/unassociated (MG[u]), diffuse large B-cell non-Hodgkin's lymphoma, in a Kaposi's sarcoma (KS) cell line, and in healthy human umbilical vein ECs (HUVECs) following exposure to therapeutic doses of thalidomide.

RESULTS: Thalidomide markedly downregulates the genes in a dose-dependent fashion in active MMECs and KS cell line, but upregulates them or is ineffective in nonactive MMECs, MG(u)ECs, NHL-ECs, and in HUVECs. Secretion of vascular endothelial growth factor (VEGF), basic fibroblast growth factor (bFGF) and hepatocyte growth factor also diminishes according to the dose in culture conditioned media (CM) of active MMECs and KS, whereas it does not change in the other CM.

CONCLUSION: Inhibition by thalidomide is probably confined to the genes of active MMECs and KS. This would account for its higher efficacy in these diseases.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
Thalidomide is effective in patients with multiple myeloma (MM), but its mechanisms are unclear. It may produce an antiproliferative effect on plasma cells and/or bone marrow stromal cells,1,2 reduce expression of interleukin (IL) -6, IL-1ß, tumor necrosis factor alpha (TNF-{alpha}), basic fibroblast growth factor (bFGF), vascular endothelial growth factor (VEGF),3 and cell surface adhesion molecules in stromal cells,4 immunomodulate T cells,5 enhance anti-plasma cell cytotoxicity of natural killer (NK) cells,6 inhibit COX-2,7 and induce an antiangiogenic effect that is probably accompanied by sizeable or major antitumor activity.8 It has, in fact, been shown to inhibit bFGF- and VEGF-induced angiogenesis in rabbit cornea and chick embryo chorioallantoic membrane in vivo assays,9,10 and the proliferation of cultured endothelial cells (ECs).10 It decreases microvessel density in a mouse model,11 and impacts the expression of bFGF and VEGF in human lung carcinoma cells.12

In contrast with the earlier evidence,13 MM patients responsive to thalidomide display a significant decrease in bone marrow microvessel density, whereas nonresponders do not.14 The plasma and bone marrow levels of bFGF, VEGF, and hepatocyte growth factor (HGF), which parallel MM activity,15 also decrease in responders.16 We found that thalidomide at 180 to 300 mg/d inhibits proliferation and capillarogenesis of bone marrow ECs from patients with MM (MMECs).17

Despite these findings, thalidomide's antiangiogenic activity is still the subject of investigation. This article describes its effects on the expression in MMECs of genes involved in autocrine and paracrine loops of neovascularization: VEGF, bFGF, HGF, insulin-like growth factor-1 (IGF-1), insulin-like growth factor binding protein-3 (IGFBP-3), angiopoietin 1 (Ang1), and Ang2. VEGF, bFGF and HGF are powerful stimulators of angiogenesis.18 Their expression in ECs increases with the angiogenic switch and persists throughout angiogenesis, except during vessel stabilization when inhibitors prevail.18 IGF-1 is angiogenic through activation of the cognate IGF receptor-1 and upregulation of VEGF gene expression.19 IGFBP-3 is the major binding protein of IGF-1, and reinforces its mitogenic effect by conveying it into the IGF receptor-1.20 It regulates physiologic, inflammation-associated, and tumor angiogenesis.20 Ang1 and Ang2 are mandatory for vessel sprouting and remodeling.18 They behave as survival factors by preventing apoptosis. Ang1 promotes sprouting in the presence of VEGF and stabilizes the perivascular EC interactions. Ang2 exerts a vessel destabilizing effect that allows VEGF-mediated vascular reorganization. Bone marrow ECs from patients with monoclonal gammopathies unattributed/unassociated (MG[u]), or with diffuse large B-cell lymphoma (NHL-ECs), a tumor not responsive to thalidomide,21 a cell line from Kaposi's sarcoma (KS), a tumor sensitive to thalidomide,22 and healthy human umbilical vein ECs (HUVECs) were compared with MMECs.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
Patients
Thirty-eight patients fulfilling the International Myeloma Working Group diagnostic criteria23 for MM (n = 28) and MG(u) (n = 10) were studied. MM patients were defined as active or nonactive, according to clinical features and M-component level.24 Active patients (n = 16) were those: (1) at diagnosis, with symptomatic disease and an increase in M-component level in the 3 months before analysis (n = 8); (2) at relapse (n = 6); and (3) at leukemic phase (n = 2). They were 10 males and six females ages 38 to 79 years (median age, 66.4 years), and staged24 as IIA (n = 2), IIB (n = 2), IIIA (n = 10) and IIIB (n = 2); the M-component was IgG (n = 12), IgA (n = 3), and k (n = 1). Nonactive patients (n = 12) were those in: (1) post-treatment complete/objective response (n = 6); (2) off-treatment plateau phase (n = 6). They were eight males and four females ages 41 to 84 years (median age, 68.5 years); the M-component was IgG (n = 7), IgA (n = 2), {kappa} or {lambda} (n = 3). No patient had received thalidomide. The MG(u) patients were six males and four females ages 40 to 88 years (median age, 70.7 years), and their M-component was IgG (n = 6), IgA (n = 2), {kappa} or {lambda} (n = 2). Four patients with diffuse large B-cell NHL were also studied at diagnosis. They were three males and one female ages 36 to 81 years (median age, 67.7 years) with bone marrow involvement (stage IV). The study was approved by the local ethics committee, and all patients gave their informed consent.

EC Cultures
Bone marrow MMECs, MG(u)ECs and NHL-ECs were obtained as described17: centrifugation on Ficoll gradient of heparinized aspirates was followed by polystyrene flask adherence to isolate stromal cells; removal of suspended cells, which include the majority of plasma cells; detachment of adherent cells with a trypsin/ethylenediaminetetra-acetic acid solution; immunodepletion of macrophages and possible residual plasma cells with CD14 and CD38 (macrophage and plasma cell markers, respectively) monoclonal antibody (MoAb)-coated flasks (both MoAbs were from Immunotech, Coulter, Marseilles, France); absorption to magnetic microbeads coated with Ulex europaeus-1 lectin (whose receptor is highly and specifically expressed by ECs); and transfer of beads with bound ECs to plates in complete medium (RPMI-1640 medium supplemented with 10% heat-inactivated fetal calf serum [FCS] and 1% glutamine) to allow cell to spread to the plate surface and grow.

The purity and viability of cell preparations (more than 95% viable ECs) were assessed by fluorescence-activated cell sorting (FACS, FACScan, Becton Becton Dickinson, San Jose, CA) with double positivity for factor VIII-related antigen (FVIII-RA, a highly specific EC marker), using a MoAb revealed by a secondary fluorescein isothiocyanate (FITC)-conjugated antibody (both from Immunotech), and for CD105 (endoglyn, a molecule selectively expressed by ECs),17 using a phycoerythrin (PE)-conjugated MoAb (Caltag, Burlingame, CA), and negativity for CD14 and CD38 MoAbs followed by reverse transcriptase-polymerase chain reaction (RT-PCR) for mRNA of FVIII-RA, CD38, CD105 and immunoglobulin heavy chain variable diversity joining (IgH VDJ) region, and by trypan blue viable staining.17 RT-PCR (see RT-PCR section for description) was performed with the following primers (Invitrogen, Life Technologies, Carlsbad, CA) for 30 cycles: FVIII-RA, 5'-GTTCGTCCTGGAAGGATCGG-3' and 5'-CACTGACACCTGAGTGAGAC-3'; CD38, 5'-ACCCCGCCTGGAGCCCTATG-3' and 5'-GCTAAAACAACCACAGCGACTGG-3'; and CD105, 5'-TGCCACTGGACACAGGATAA-3' and 5'-GATGAGGACGGCATCGAGAT-3'. The IgH VDJ region was revealed by a semi-nested PCR based on Fr3 protocol, including an upstream primer complementary to the third framework V region (5'-ACACGGC[C/T][G/C]TGTATTACTGT-3'), a downstream primer directed to a conserved sequence of the J region (5'-TGAGGAGACGGTGACC-3', 30 cycles), and in the second round amplification to an inner conserved sequence of the same J region (5'-GTGACCAGGGTNCCTTGGCCCCAG-3', 20 cycles). Paired plasma cells, the U266 myeloma cell line (ATCC, Rockville, MD) and HUVECs were used as controls. The purity of EC preparations was also examined with a Zeiss EM109 transmission electron microscope (Zeiss, Oberkochen, Germany) following conventional embedding and staining.17

KS cells were a non–AIDS-associated immortalized line termed as KSC IMM25 (donated by Adriana Albini, MD, Advanced Biotechology Center, Genoa, Italy), and cultured in their complete medium (Dulbecco's modified Eagle's medium [DMEM] with 10% FCS). HUVECs were obtained from 12 samples following parental consent, grown in their complete medium (M199 medium supplemented with 10% FCS, 0.02% extract of bovine brain, and 0.015% porcine heparin), and studied at the second passage.17

KS cells and HUVECs served as opposite controls: a well-known tumor and normal ECs with which to compare MMECs from active and nonactive patients and MG(u)ECs. In addition, KS cells were studied because KS patients, like those with active MM, respond to thalidomide,13,22 and we also studied patients with diffuse large B-cell NHL, who do not.21 Hence the preferential clinical activity of thalidomide in active MM and KS may be tentatively attributed to its putative inhibitory effects on angiogenic genes of active MMECs and KS cells, but not NHL-ECs.

Treatment With Thalidomide, Enzyme-Linked Immunosorbent Assay of Conditioned Media and Preparation of Total RNA
Thalidomide (Biomol Research Laboratories Inc, Butler Pike, Plymouth Meeting, PA) was solubilized in dimethyl sulfoxide (DMSO) at 10 mmol/L and stepwise diluted in the medium at the time of assay. The final DMSO concentration was 0.08% or less. ECs at 90% confluence were cultured in duplicate (patients' ECs and HUVECs) or in triplicate (KS cell line) in specific serum-free medium (SFM) alone or supplemented with thalidomide at 10 or 20 µmol/L for 48 hours. These doses correspond to concentrations in interstitial fluids obtained with 180 mg and 300 mg/day respectively in an adult (70-Kg) patient.26 Next, ECs were evaluated by FACS with the anti-CD105 phycoerythrin (PE)-conjugated MoAb and a FITC-conjugated MoAb to VEGF as intracellular protein (iVEGF, R & D Systems, Minneapolis, MN). Conditioned media (CM) were also collected and stored as described.17 Fifty (VEGF and HGF) and 100 (bFGF) µl of CM were tested with a sandwich enzyme-linked immunosorbent assay (ELISA; Quantikine, R & D Systems). The inter-assay coefficients of variations were 6.7% (VEGF), 8% (bFGF), and 6.9% (HGF); the intra-assay coefficients were 4.7%, 5.2%, and 5.8%.

Total RNA was extracted with the Trizol reagent (Invitrogen), and purified using the RNeasy total RNA Isolation Kit (Qiagen, Valencia, CA). RNA integrity was verified with an Agilent Bioanalyzer (Agilent Technologies, Waldbronn, Germany).

Generation of Gene Expression Profiles
Biotin-labeled cRNA synthesis was performed as previously described.27 According to the Affymetrix hybridization protocol, 15 µg of fragmented cRNA were hybridized on HG-U133A Probe Arrays (Affymetrix, Santa Clara, CA). Expression analysis quality assessment was based on the analysis of 3'/5' ratio of housekeeping probes (glyceraldehyde-3-phosphate dehydrogenase [GAPDH] mean ratio, 0.93 ± 0.14; ß-actin mean ratio, 1.01 ± 0.1). After scanning, the images were processed using Affymetrix MicroArray Suite (MAS) 5.0 software to generate gene expression intensity values. For data analysis, array normalization was performed using the MAS 5.0 global scaling procedure, which allows a number of experiments to be normalized to a target intensity (TGT; TGT, 100), and thus compared. A permutations statistical test was applied to detect statistically significant differences in the expression levels of the six predetermined target genes (eg, VEGF, bFGF, HGF, IGF-1, IGFBP-3 and Ang1). Specifically, differentially expressed genes are identified by determining the statistical significance of their expression levels in MMECs and MG(u)ECs as compared to HUVECs samples. The calculation is approached as a univariate testing problem for each gene, and corrected for multiple testing by using adjusted P values.28 No specific parametric form is assumed for the distribution of the expression levels, and a permutation procedure is used to estimate the joint null distribution of the test statistics for each gene. The null distribution is empirically constructed from 10,000 permutations (eg, 10,000 random shufflings of the sample memberships [labels]). The statistical significance of the differential expression level of each gene is quantified in terms of adjusted P value (eg, the probability of obtaining a permuted t-statistic larger than the observed one). Small values of P cast doubt on the validity of the null hypothesis that the expression levels are equal in the two populations.

Unsupervised sample clustering using the six preselected genes have been applied to highlight sample groups and their associated expression levels. Before clustering, the gene expression values across all samples have been standardized (linearly scaled) to have a mean of 0 and a standard deviation of 1. Hierarchical agglomerative clustering has been carried out using the Pearson correlation coefficient as distance metric and centroid as linkage method.

RT-PCR
Two micrograms of total RNA were reverse transcribed by Moloney murine leukemia virus-reverse transcriptase (MMLV-RT, Invitrogen). Next, 1 µg of cDNA was subjected to PCR for the selected genes. Primers (Invitrogen) were: VEGF, 5'-CAGAACAGTCCTTAATCCAG-3' and 5'-CATGCCAGAGTCTCTCATCT-3' for 30 cycles; bFGF, 5'-CTCACGTGGCACCAGTGGAT-3' and 5'-CACAGAGGATGAATAGTAGC-3' for 30 cycles; HGF, 5'-CTCAGATCAGTATCTAATTG-3' and 5'-GACATGACTCTACCCTGTTC-3' for 40 cycles; IGF-1, 5'-ACATCTCCCATCTCTCTGGATTTCCTTTTGC-3' and 5'-CCCTCTACTTGCGTTCTTCAAATGTACTTCC-3' for 30 cycles; IGFBP-3, 5'-GGCAGCCTAAGCACCTACCTC-3' and 5'-GCTCCTCCTCGGACTCACTG-3' for 30 cycles; Ang1, 5'-AAAGGTCACACTGGGACAGC-3' and 5'-TTCTGACATTGCGCTTTCAA-3' for 35 cycles; Ang2, 5'-TCCAAGCAAAATTCCATCATTG-3' and 5'-GCCTCCTCCAGCTTCCATGT-3' for 40 cycles; control GAPDH, 5'-CCCTCCAAAATCAAGTGGGG-3' and 5'-CGCCACAGTTTCCCGGAGGG-3' for 22 cycles. PCR products were separated by electrophoresis on 1.5% agarose gels and stained with ethidium bromide. The intensity of bands was measured by the EDAS 290 Kodak trans-illuminator equipped with the 1D Image Analysis Software (Kodak, New Haven, CT), which converts the band area into numbers of pixels.

Real-Time RT-PCR
One micrograms of total RNA was reverse transcribed into total cDNA. Real-time RT-PCR was performed on an ABI PRISM 7000 Sequence Detector using dedicated reagents (Applied Biosystems, Foster City, CA). Each gene was analyzed in parallel with the Abelson (ABL) housekeeping gene: the absolute levels of VEGF, bFGF, and HGF mRNA were thus normalized to the ABL mRNA content.29 All TaqMan probes were 5'-labeled with the reporter dye molecule 6-carboxy-fluorescein, and 3'-labeled with the quencher dye molecule 6-carboxy-tetramethylrhodamine. Reaction mixture contained 12.5 µL TaqMan buffer A with the 6-carboxy-X-rhodamine dye as the passive reference and 2.5 µL cDNA. For VEGF, bFGF, and HGF quantitation, 1.25 µL reagent solution were added to the reaction mixture; for ABL quantitation, 300 nmol/L forward and reverse primers, and a 200 nM-specific TaqMan probe were used. After a 2-minute incubation at 50°C, and a 10-min incubation at 95°C, amplification was performed by 40 cycles at 95°C for 15 seconds followed by 40 cycles at 60°C for 60 seconds. Each RNA sample was tested in duplicate (patients' ECs and HUVECs) or in triplicate (KS cell line), and threshold cycle (Ct) values were averaged. The relative amount of the three genes and the comparison of gene expression at different thalidomide concentrations were calculated by means of the {Delta}{Delta}Ct method.30


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
EC Preparations and Gene Expression Profiling Analysis by DNA Microarrays
Patients' EC preparations were analyzed by FACS with FVIII-RA and CD105 (EC markers) or FVIII-RA and CD38 (a plasma cell marker) double staining. ECs were more than 97% double stained for FVIII-RA and CD105, whereas their CD38 staining was either absent or insignificant. Figure 1 (panel A) shows an example of MMECs. These findings were confirmed by RT-PCR showing that patients' ECs expressed the FVIII-RA and CD105 mRNA like HUVECs, but not plasma cells, and did not express the CD38 and IgH VDJ mRNA, whereas these were expressed by plasma cells. Panel B shows the MMECs example. No plasma cell contamination was also observed by electron microscopy, which revealed uniform ECs populations, as in the MMECs example in panel C.



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Fig 1. Purity of multiple myeloma entothelial cell (MMEC) populations. (A) One representative patient studied by fluorescence-activated cell sorting (FACS) showing that 97% of ECs are double-stained with FVIII-RA and CD105 (endoglyn), whereas cells stained with CD38 are insignificant. (B) Reverse-transcriptase polymerase chain reaction shows that MMECs express mRNA for FVIII-RA and CD105 like human umbilical vein ECs (HUVECs) and do not contain mRNA for CD38 and immunoglobulin heavy chain variable diversity joining (IgH VDJ), whereas these are expressed by paired plasma cells and the myeloma cell line U266 (bP = base pairs). (C) Electron microscopy (x5,600; bar, 1.78 µM) showing the uniform MMEC population. FVIII-RA, factor VIII-related antigen; FITC, fluorescein isothiocyanate; PE, phycoerythrin; GAPDH, glyceraldehyde-3-phosphate dehydrogenase.

 
Five EC samples from MM patients at diagnosis (active MMECs), five MG(u)ECs, five HUVECs and the KS cell line were examined for the expression levels of the selected genes within the global expression profiles generated by DNA microarrays hybridisation. Raw microarray expression levels of VEGF, bFGF, HGF, IGF-1, IGFBP-3 and Ang1 genes (Ang2 levels were in the background range) showed an overall trend of induction in active MMECs and MG(u)ECs versus HUVECs (Fig 2).



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Fig 2. (A)-(F) DNA microarray analysis: data are expressed as mean ± 1 standard deviation (SD) of the fluorescence intensity of cRNA hybridised to specific probes. The Kaposi's sarcoma (KS) is given as mean ± 1 SD of three determinations. (G) Row indicates the expression relative to the average of the sample population. MMEC, multiple myeloma endothelial cell; MG(u)EC, monoclonal gammopathies unattributed/unassociated EC; HUVEC, human umbilical vein EC; bFGF, basic fibroblast growth factor; VEGF, vascular endothelial growth factor; Ang1, angiopoietin 1; HGF, hepatocyte growth factor; IGF-1, insulin-like growth factor-1; IGFBP-3, insulin-like growth factor binding protein-3.

 
Specifically, VEGF was significantly upregulated in both MMECs (9.4-fold and adjusted P value <.0001) and MG(u)ECs (8.2-fold and adjusted P value < .0001). bFGF, too, was significantly upregulated in MMECs (3.0-fold and adjusted P value < .0001) and MG(u)ECs (3.2-fold and adjusted P value < .01). IGF-1 and Ang1 were significantly upregulated only in MG(u)ECs (5.0- and 3.2-fold and adjusted P value < .0001 and < .017 respectively). IGFBP-3 was induced in MG(u)ECs (1.7-fold and adjusted P value < .022) and showed an induction trend in MMECs (1.2-fold). No modulation of the other transcripts was observed except for a 2.3-fold upregulation of Ang1 in MG(u)ECs versus MMECs (adjusted P value < .04). The KS cell line was not statistically assessable. Even so, it displayed an appreciable expression of VEGF and, like active MMECs, of Ang1.

FACS and RT-PCR Analyses and Thalidomide Treatment
Sensitivity of EC populations to thalidomide at 10 µmol/L and 20 µmol/L was initially assessed with FACS staining for changes in expression of intracellular VEGF protein (iVEGF) by CD105+ cells. A significant dose-dependent downregulation of iVEGF in terms of both percentages of double-positive ECs and iVEGF staining intensity was observed only in active MMECs and KS cells. In contrast, nonactive MMECs, MG(u)ECs, NHL-ECs and HUVECs displayed no or negligible upregulation, irrespective of the dose (Table 1). Examples of active MMECs versus MG(u)ECs are presented in Figures 3 and 4.


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Table 1. FACS Analysis of the Expression of Intracellular Vascular Endothelial Growth Factor in CD105+ EC Populations Unexposed (medium) or Exposed to Thalidomide

 


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Fig 3. Representative multiple myeloma endothelial cells from a relapsed patient. (A) Fluorescence-activated cell sorting staining with intracellular vascular endothelial growth factor (iVEGF) and CD105 without (medium) and with exposure to thalidomide (thal) 10 µM and 20 µM. (B)-(H) Reverse-transcriptase polymerase chain reaction gene profile for each cytokine upon the drug exposure is also shown. The band intensity as interior area (or pixel) evaluation is given. PE, phycoerythrin; bp, base pairs; FITC, fluorescein isothiocyanate; GAPDH, glyceraldehyde-3-phosphate dehydrogenase.

 



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Fig 4. (A) Fluorescence-activated cell sorting staining with intracellular vascular endothelial growth factor (iVEGF) and CD105 of MG(u)ECs. Reverse-transcriptase polymerase chain reaction analysis of no or upregulation of some representative genes in endothelial cells (ECs) from (B) the MG(u) patient, (C) a nonactive multiple myeloma patient (plateau phase), (D) downregulation in the Kaposi's sarcoma cell line, (E) a diffuse large B-cell non-Hodgkin's lymphoma patient, and (F) a human umbilical vein EC (HUVEC) sample. Band intensity is evaluated as in Figure 3. bp, base pairs; MG(u)EC, monoclonal gammopathies unattributed/unassociated EC. Thal, thalidomide; PE, phycoerythrin; bFGF, basic fibroblast growth factor; Ang2, angiopoietin 2; HGF, hepatocyte growth factor; IGFBP-3, insulin-like growth factor binding protein-3.

 
A more in-depth assessment and comparison of the expression was then made using RT-PCR and quantitation of bands for each angiogenic cytokine. The RT-PCR pictures of untreated ECs substantially overlapped the DNA microarray analysis (see "medium" values of Tables 2 and 3): the highest expression levels of VEGF, bFGF and HGF were in active MMECs and values were significantly higher than those of nonactive MMECs and MG(u)ECs (P < .05 or better by Student's t test). IGF-1 and its carrier IGFBP-3 were highly expressed in all patients' ECs (P < .01 or better v HUVECs). Ang1 and Ang2 were sizeably expressed in all ECs. The pronounced expression of VEGF and Ang1 in the KS cells was confirmed.


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Table 2. Gene Expression by RT-PCR in Patients' Bone Marrow ECs Exposed to Thalidomide

 

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Table 3. Gene Expression by Kaposi's Cells, NHL-ECs and HUVECs

 
Exposure to thalidomide at 10 µmol/L and 20 µmol/L produced a significant downregulation of all genes except Ang1. This was only dose-dependent in active MMECs (Table 2). As a whole, the lowering ranged from –20% to –41% at 10 µM, and –30% to –54% at 20 µM. Representative experiments in an active MMECs are shown in Figure 3.

The KS cell line behaved like active MMECs for VEGF, bFGF and Ang2, whereas IGF-1 and IGFBP-3 were upregulated dose dependently (Table 3). Representative downregulations are shown in Figure 4. In contrast, significant, non–dose-dependent upregulation of VEGF, bFGF, HGF and IGF-1 was seen in nonactive MMECs (overall range = +12% to +42%, Table 2), MG(u)ECs (+32% to +67%, Table 2); of VEGF, bFGF and HGF in NHL-ECs (+21% to +38%, Table 3); of VEGF and bFGF in HUVECs (+31% to +67%, Table 3), whereas IGFBP-3, Ang1 and Ang2 were unvaried. Representative experiments are shown in Figure 4.

Gene Expression and Thalidomide Treatment Illustrated by Real-Time RT-PCR
A more precise quantitation of the baseline expression and thalidomide-induced modulation of VEGF, bFGF, and HGF, the genes most involved in MM angiogenesis, was undertaken with the expression level of HUVECs, which transcribed the genes at the lowest rate, as the reference value with an arbitrary score of 1 point. VEGF was transcribed 36, 29, 18, 25, and eight more times in active MMECs (P < .03 by the Wilcoxon test), nonactive MMECs (P < .05), MG(u)ECs (P < .05), NHL-ECs (P < .05) and KS, respectively; bFGF 124 (P < .01), 61 (P < .05), 48 (P < .05), 34 (P < .05), and six times more; and HGF 7,201 (P < .01), 5,583 (P < .01), 5,250 (P < .01), 2,730 (P < .01) and 10 times more.

Changes caused by thalidomide were expressed as percentages of the baseline value (Fig 5). A pronounced dose-dependent downregulation was observed only in active MMECs (average VEGF = –24% and –34% at 10 µmol/L and 20 µmol/L respectively, bFGF = –31% and –45%, HGF = –21% and –36%) and KS (VEGF = –18% and –30%, bFGF = –23% and –42%, HGF = –50% and –79%). In contrast, upregulation by nonactive MMECs, MG(u)ECs, NHL-ECs and HUVECs occurred independent of the dose.



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Fig 5. Expression levels of VEGF, bFGF, and HGF genes in the endothelial cell (EC) types without (medium) and with exposure to thalidomide (thal) 10 µM and 20 µM, as evaluated by the real-time reverse-transcriptase polymerase chain reaction. Data are expressed as mean ± 1 standard deviation of percentage of inhibition or stimulation compared to the medium value. Significance of changes by the Wilcoxon-Wilcox test. VEGF, vascular endothelial growth factor; bFGF, basic fibroblast growth factor; HGF, hepatocyte growth factor. (A) Active multiple myeloma endothelial cells (relapse), (B) nonactive multiple myeloma endothelial cells (plateau phase), (C) monoclonal gammopathy unattributed/unassociated (MG[u]) endothelial cells, (D) Kaposi's sarcoma cell line, (E) diffuse large B-cell non-Hodgkin's lymphoma endothelial cells, (F) human umbilical vein endothelial cells (HUVECs).

 
Quantitation of VEGF, bFGF and HGF in the CM by ELISA
This showed that unexposed active MMECs secreted 40-100 times higher amounts of the angiogenic factors than HUVECs. Similarly, KS cells secreted 5-10 higher VEGF and bFGF (Fig 6). When cells were exposed to thalidomide, we observed a significant dose-dependent reduction of all factors in active MMECs and KS only, whereas there were no changes in nonactive MMECs, MG(u)ECs, NHL-ECs and HUVECs CM (Fig 6).



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Fig 6. Concentrations of (A) VEGF, (B) bFGF and (C) HGF in conditioned media of the indicated endothelial cells (ECs), as measured by an enzyme-linked immunosorbent assay (ELISA), without (medium) and with exposure to thalidomide (thal) 10 µM and 20 µM. Significance of changes by the Wilcoxon-Wilcox test. VEGF, vascular endothelial growth factor; bFGF, basic fibroblast growth factor; HGF, hepatocyte growth factor; MMEC, multiple myeloma endothelial cell; MG(u)EC, monoclonal gammopathies unattributed/unassociated EC; NHL-EC, non-Hodgkin's lymphoma EC; HUVEC, human umbilical vein EC.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
We wondered whether ECs from active MM patients (active MMECs) are impacted by thalidomide in VEGF, bFGF, HGF, IGF-1, IGFBP-3, Ang1 and Ang2 genes, which act as the main regulators of angiogenesis.18 Nonactive MMECs, MG(u)ECs, NHL-ECs, healthy ECs (or HUVECs) and a KS cell line were compared. The DNA microarray and RT-PCR analyses showed an overall induction of genes (except Ang1 and Ang2) in active MMECs, nonactive MMECs, MG(u)ECs and NHL-ECs over HUVECs; of VEGF and bFGF in the KS line.

In active MMECs, 10 µmol/L and 20 µmol/L thalidomide (corresponding to 180 mg and 300 mg/d in a 70-kg adult)26 downregulates all genes (except Ang1) in a dose-dependent fashion. We showed that both doses inhibit proliferation and capillarogenesis of these cells in vitro.17 In KS cells, a similar downregulation was seen for VEGF, bFGF and Ang2. In contrast, genes were upregulated or unvaried in nonactive MMECs, MG(u)ECs, NHL-ECs and HUVECs.

When real time RT-PCR was restricted to VEGF, bFGF and HGF (the growth factors most involved in MM angiogenesis), we confirmed their higher expression in active MMECs, nonactive MMECs, MG(u)ECs and NHL-ECs over HUVECs and their downregulation only in active MMECs and KS cells according to the dose; their upregulation was independent of the dose in the other ECs. Parallel to mRNA, secretion of the translated VEGF, bFGF and HGF proteins progressively fell in the active MMECs CM. Similar behavior was observed for VEGF and bFGF and, to a lesser extent, for HGF in the KS CM. Values varied only marginally or not at all in the other EC CMs.

Hence, analogies do exist between active MMECs and KS in terms of overexpression of the genes and their response to thalidomide. Accordingly, we have previously found17 that long-term cultured active MMECs display constitutively: (1) growth advantage over HUVECs because they form a fast-growing and a more closely-knit capillary plexus; (2) five to 70 times higher levels of typical vascular markers (Tie2/Tek, VEGFR-2, bFGFR-2, CD105-endoglin, and VE-cadherin) than HUVECs; (3) ultramicroscopically, enhanced metabolic activation because of hyperplasia of the rough endoplasmic reticulum, wide Golgi complex, numerous mitochondria and lysosome-like structures. Their VEGF/VEGFR-2 loop is operative31 as in KS in which VEGF and bFGF are co-expressed with their cognate receptors and provide autocrine loops of growth.32,33 As shown here, active MMECs also secrete 40 to 100 times higher amounts of VEGF, bFGF and HGF into their CM, in much the same way as KS.17 Overall these findings seem to point to a tumoral phenotype of active MMECs, as shown for ECs in lymphomas.34

These differences in the activity of thalidomide may be attributable to differences in the angiogenic state of ECs leading to dissimilar gene control by transcription factors, such as Sp1 and NF-{kappa}B. These factors are subjected to thalidomide modulation. Sp1 controls expression of VEGF, bFGF, HGF, IGF-1 and IGFBP-335-39 by binding to DNA promoters in specific guanine-cytosine (GC) rich sequences, including GC-boxes.40 Thalidomide intercalates into these boxes and interferes with transcription of actively regulated promoters, whereas it does not appreciably affect constitutive or slightly regulated ("not turned") genes. This mechanism has been hypothesized for teratogenicity.41 Thus, gene downregulation in active MMECs and KS cells may depend on their high grade of "angiogenic switch" with marked regulation of promoters that makes Sp1 sensitive to blockade, whereas stimulation may occur in the other ECs where the switch and promoter regulation are absent.

NF-{kappa}B upregulates genes that control growth and angiogenesis.42 It is impacted by thalidomide because of this drug's ability to generate reactive oxygen species (ROS) producing oxidative stress.43 ROS are continuously generated during cellular metabolism; yet maintenance of the proper redox potential is assured by antioxidants systems, such as reduced glutathione (GSH), whose depletion is indicative of oxidative stress. In reducing conditions, NF-{kappa}B is bound to the inhibitory protein I-{kappa}B in the cytosol.44 Oxidative stress initiates phosphorylation and dissociation of I-{kappa}B and, hence, allows NF-{kappa}B translocation to the nucleus where this binds the {kappa}B motif of a wide array of promoters, including those of VEGF45 and FGF-10, and this in turn stimulates bFGF.44 However, oxidative stress inhibits NF-{kappa}B binding to DNA.46 Perhaps, in active MMECs and KS cells, which are characterized by a high turnover and metabolism,17 and probably a low GSH supply, thalidomide-induced ROS may elicit oxidative stress, thus blocking NF-{kappa}B activity and downregulating genes, whereas in nonactive MMECs, MG(u)ECs and HUVECs, which are by comparison "steady-state" cells with lower metabolism and high GSH supply, it may produce smaller shifts in redox potential resulting in positive modulation of NF-{kappa}B and gene upregulation. It is plausible that similar inhibitory mechanisms of thalidomide via Sp1 and NF-{kappa}B also operate in plasma cells and stromal cells. NHL-ECs may overlap nonactive MMECs and MG(u)ECs.

In conclusion, here we show that thalidomide exerts a direct antiangiogenic activity on MMECs during the active disease through the downregulation of genes mandatory for autocrine and paracrine life of ECs and generally of other cells in the bone marrow. Antiangiogenesis may explain, at least partly, this drug's therapeutic power in active MM. No antiangiogenic activity may be produced in nonactive MM and MG(u) (as well as in diffuse large B-cell NHL). Response to thalidomide is observed in about one-third of patients with either active (relapsed disease) or smoldering/indolent MM.47,48 However, the median time to response is shorter in active MM (1.3 months v 5 months). Tentatively, we suggest that this can be explained by the divergent response to thalidomide of active MMECs versus nonactive MMECs and MG(u)ECs.


    Authors' Disclosures of Potential Conflicts of Interest
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
The authors indicated no potential conflicts of interest.


    NOTES
 
Supported by Associazione Italiana per la Ricerca sul Cancro (AIRC), Milan, Ministry for Education, the Universities and Research (Project CARSO No. 72/2), and Ministry for Health - Regione Puglia (grant BS2), Rome, Italy.

A.V. and C.S. contributed equally to this work.

Terms in blue are defined in the glossary, found at the end of this issue and online at www.jco.org.

Authors' disclosures of potential conflicts of interest are found at the end of this article.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Authors' Disclosures of...
 REFERENCES
 
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Submitted February 17, 2005; accepted March 24, 2005.


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