Literature DB >> 30845824

Plasma Levels of Vascular Endothelial Growth Factor and Selected Hemostatic Parameters in Association With Treatment Response in Multiple Myeloma.

Juraj Sokol1, Matej Hrncar1, Frantisek Nehaj2, Jan Stasko1.   

Abstract

Multiple myeloma (MM) is a neoplastic plasma cell disorder characterized by the clonal proliferation of plasma cells in the bone marrow and presence of monoclonal protein in the blood or urine. Diverse hemostatic abnormalities have been reported in patients with myeloma which predispose the patient to bleeding and also thrombosis. The aim of this study was to measure the concentrations of serum levels of vascular endothelial growth factor, D-dimer, and von Willebrand factor in patients with newly diagnosed or relapsed multiple myeloma before treatment, during therapy, and after successful therapy. The working hypothesis was that all of these factors reflect the total body burden of tumor. Angiogenic and coagulation activity should therefore decrease after successful therapy. Our study indicates that selected prothrombotic abnormalities occur in patients with MM, which may contribute to the increased risk of venous thromboembolism observed in these patients. The levels of our 3 parameters were strongly elevated in patient with newly diagnosed MM and also in patients with clinical stage III based on International Staging System criteria. Furthermore, there was a correlation between prognostic disease stages in all study population. It would be appropriate to include angiogenic and coagulation parameters into prognostic parameters.

Entities:  

Keywords:  angiogenesis; hemostasis; multiple myeloma; thrombosis

Mesh:

Substances:

Year:  2019        PMID: 30845824      PMCID: PMC6714935          DOI: 10.1177/1076029618823280

Source DB:  PubMed          Journal:  Clin Appl Thromb Hemost        ISSN: 1076-0296            Impact factor:   2.389


Introduction

Multiple myeloma (MM) is a plasma cell neoplasm that accounts for 0.8% of cancer cases worldwide and comprises 13% of hematological malignancies.[1] Multiple myeloma is associated with an increased risk of venous thromboembolism (VTE). The cumulative incidence of VTE during the first 6 months from diagnosis of MM has been estimated as 11.1 (95% confidence interval [CI]: 6.0-20.5) per 1000 patients.[2] The risk factors can be patient related (advanced age, history of thrombosis, obesity, immobility, concomitant infections, major illnesses, surgery, and hormone therapy),[3-6] disease related, and treatment related. Disease-related risk factors can derive from the monoclonal component (rarely hyperviscosity or inhibition of natural anticoagulants) or hypercoagulability sustained by inflammatory cytokines (increased von Willebrand factor [vWf], factor VIII (FVIII), fibrinogen levels, decreased protein S levels, acquired activated protein C resistance).[7] The 1% to 2% baseline of incident VTE associated with conventional therapies as melphalan and prednisone is at least doubled by the use of doxorubicin or other chemotherapeutic agents. Furthermore, the VTE rate associated also with thalidomide or lenalidomide.[8] Multiple myeloma is also a hematological malignancy in which increased angiogenesis rate was detected.[9,10] Angiogenesis activators thought to play a role in MM pathogenesis include vascular endothelial growth factor (VEGF).[11-13] The aim of this study was to measure the concentrations of serum levels of VEGF, D-dimer, and vWf in patients with MM before treatment, during therapy, and after successful therapy. The working hypothesis was that all of these factors reflect the total body burden of tumor. Angiogenic and coagulation activity should therefore decrease after successful therapy. This could be a suitable additional method for monitoring of disease activity. Moreover, it can also lead to the change in VTE prophylaxis, especially in patients with newly diagnosed MM.

Patients and Methods

The local Ethical Committee of the Jessenius Faculty of Medicine in Martin approved the study. All study participants agreed to participate in the project. Patients were initially examined and tested at the Department of Haematology and Transfusion Medicine in Martin University Hospital. From April 2012 to May 2014, 36 patients (18 men, 18 women; median age: 60.72 years; age range: 40-77 years) with newly diagnosed or relapsed MM were enrolled in this study. The diagnostic criteria of MM were based on the National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology, 2011 Multiple Myeloma Guidelines. Clinical features included age, sex, and bone lesions. Biochemical parameters data were collected including blood count, liver function test, blood chemistry, LDH, β2-microglobulin, urine studies (urea, Bence-Jones proteinuria, and light chains), and protein electrophoresis. Bone marrow trephine biopsy was performed. In addition, patients were grouped into clinical stages according to International Staging System (ISS). The majority of the patients with MM had ISS stage III (n = 20). Patients have received different chemotherapeutic regimens, such CAD (cyclophosphamide, adriamycin, dexamethasone), BP (bendamustine, prednisone), RD (lenalidomide, dexamethasone), VCD (bortezomib, cyclophosphamide, dexamethasone), and VMP (bortezomib, melphalan, prednisone). All patients with relapsed MM received the regimens of RD or BP chemotherapy. Thromboprophylaxis consisting of low-dose molecular weight heparin was given to all patients. Thrombosis has not been reported. Baseline characteristics of the patients are shown in Table 1.
Table 1.

Clinical Characteristics.

Gender (number of patients)
 Male18
 Female18
Mean age (range), years60.72 (40-77)
Immunoglobulins (g/L)
 IgG30
 IgA6
 κ27
 λ9
International Staging System (number of patients)
 I9
 II7
 III20
Type of multiple myeloma (number of patients)
 Newly diagnosed28
 Relapsing8
Regimen (number of patients)
 CAD21
 BP1
 RD7
 VCD3
 VMP4

Abbreviations: BP, bendamustine and prednisone; CAD, cyclophosphamide, adriamycin, and dexamethasone; Ig, immunoglobulin; RD, lenalidomide and dexamethasone; VCD, bortezomib, cyclophosphamide, and dexamethasone; VMP, bortezomib, melphalan, and prednisone.

Clinical Characteristics. Abbreviations: BP, bendamustine and prednisone; CAD, cyclophosphamide, adriamycin, and dexamethasone; Ig, immunoglobulin; RD, lenalidomide and dexamethasone; VCD, bortezomib, cyclophosphamide, and dexamethasone; VMP, bortezomib, melphalan, and prednisone. Venous blood was collected using a vacutainer system in citrate (0.105 M, Beckton-Dickinson, Plymouth, United Kingdom). This blood was centrifuged at 2000g for 10 minutes. The collected plasma was additionally centrifuged for 10 minutes at 20 000g and stored in small aliquots at −70°C until use. The VWF: Antigen (vWF: Ag) was measured by an in-house sandwich enzyme-linked immunosorbent assay (ELISA) using rabbit antihuman vWF and horseradish peroxidase-conjugated antihuman vWF (Assera, Diagnostica Stago, France). Normal vWf: Ag reference ranges were 0.60 to 1.30 IU/mL. D-dimer levels were determined with a particle-enhanced immunoturbidimetric assay (Innovance, Siemens Healthcare Diagnostics, Germany) according to the manufacturer’s instructions. The reference concentration of D-dimer was less than 0.5 mg/L. The VEGF levels in the plasma were measured using an ELISA kit (Quantikine, R&D systems, Minneapolis, Minnesota) according to the manufacturer’s instructions. Normal ranges of VEGF were 145 ± 75 pg/mL. For each patient, levels of VEGF, vWf, and D-dimer were measured before treatment, during therapy (time when the chemotherapy was given to the patient), and after achievement of complete remission, that is, 1 to 6 months after chemotherapy. Statistical Package for the Social Sciences (SPSS, Inc, Chicago, Illinois) was used for analysis. Statistical analysis consisted of basic descriptive statistics, and the results are presented as median ± standard deviation. Levels of variables in the different patients’ groups were compared using t test. Odds ratios with 95% CI were used to assess risk. Statistical significance was set at P value <.05.

Results

We measured the concentrations of selected parameters in patients with MM before treatment (vWf1, D-dimer1, and VEGF1), during therapy (vWf2, D-dimer2, and VEGF2) and after successful therapy (vWf3, D-dimer3, and VEGF3). We observed a decrease in vWf, D-dimer, and VEGF levels during the follow-up (mean ± standard deviation [SD] vWf levels: 1.52 ± 0.33 IU/mL; 1.32 ± 0.21 IU/mL; 1.16 ± 0.18 IU/mL; mean ± SD D-dimer levels: 1.02 ± 0.69 mg/L; 0.60 ± 0.33 mg/L; 0.27 ± 0.11 mg/L; mean ± SD VEGF levels: 240.36 ± 123.80 pg/mL; 145.56 ± 53.95 pg/mL; 102.61 ± 45.28 pg/mL); see Figure 1. All selected parameters were reduced back to physiological values.
Figure 1.

Comparison between vWf, D-dimer, and VEGF during the follow-up period. VEGF indicates vascular endothelial growth factor; vWf, von Willebrand factor.

Comparison between vWf, D-dimer, and VEGF during the follow-up period. VEGF indicates vascular endothelial growth factor; vWf, von Willebrand factor. We staged the patients according to the ISS criteria. We observed the highest differences in stage III (mean ± SD vWf1 vs vWf3 levels: 1.64 ± 0.26 IU/mL vs 1.18 ± 0.19 IU/mL; mean ± SD D-dimer1 vs D-dimer3 levels: 1.3 ± 0.71 mg/L vs 0.30 ± 0.13 mg/L; mean ± SD VEGF1 vs VEGF3 levels: 298.3 ± 120.39 pg/mL vs 104.75 ± 45.64 pg/mL). These results are summarized in Table 2.
Table 2.

Results of Selected Parameters Before, During, and After Treatment Grouped Into Clinical Stages According to ISS.

ISSvWf1vWf2vWf3D-Dimer1D-Dimer2D-Dimer3VEGF1VEGF2VEGF3
I
 Number of patients999999999
 Mean1.181.151.11.33.20.21108.6793.3397.33
 Median1.231.211.12.30.2.19123110110
 Standard deviation.19.18.17.220.10.0857.0342.2741.89
 Minimum.72.70.70.03.06.13444038
 Maximum1.311.291.25.69.36.31191150158
II
 Number of patients777777777
 Mean1.641.371.171.12.64.26244.15146.14103.29
 Median1.481.311.121.01.56.2525212686
 Standard deviation.39.20.15.42.25.0644.1443.4554.46
 Minimum1.211.201.05.73.42.1819910152
 Maximum2.301.731.421.951.12.33321210212
III
 Number of patients202020202020202020
 Mean1.641.371.181.3.76.30298.3168.65104.75
 Median1.591.321.161.03.67.2825416287
 Standard deviation.26.2.19.71.26.13120.3946.3045.64
 Minimum1.331.11.70.52.41.121589856
 Maximum2.051.791.52.781.25.52553296192

Abbreviations: ISS, International Staging System; VEGF, vascular endothelial growth factor; vWf, von Willebrand factor.

Results of Selected Parameters Before, During, and After Treatment Grouped Into Clinical Stages According to ISS. Abbreviations: ISS, International Staging System; VEGF, vascular endothelial growth factor; vWf, von Willebrand factor. We had done the t test to see if there are statistical differences between the means of selected parameters divided into 2 groups according to the blood sampling (before and after chemotherapy) (vWf1 vs vWf3: 95% CI: 0.25-0.48; P = .000; D-dimer1 vs D-dimer3: 95% CI: 0.53-0.98; P = .000; VEGF1 vs VEGF3: 95% CI: 95.74-179.76; P = .000). In all cases, we see the statistical significance. Moreovere, we stratified the patients according to ISS stages. After analyzing, we see again a significant difference between various ISS stages, expect for ISS I. More details are given in Table 3.
Table 3.

Statistical Comparisons Between Selected Parameters Before and After Treatment Group Into Clinical Stages According to ISS.

ISSPaired DifferencesSignificance (2-tailed)
MeanStandard deviationStandard. Error Mean95% Confidence Interval of the Difference
LowerUpper
IPair 1vWf1 to vWf3.07.080.03.008.13.03
Pair 2D-dimer1 to D-dimer3.12.240.08−0.07.31.17
Pair 3VEGF1 to VEGF311.3324.268.09−7.3129.98.20
IIPair 1vWf1 to vWf3.47.39.15.11.83.02
Pair 2D-dimer1 to D-dimer3.86.42.16.481.24.002
Pair 3VEGF1 to VEGF3140.8679.1629.9267.65214.07.003
IIIPair 1vWf1 to vWf3.46.33.074.30.61.00
Pair 2D-dimer1 to D-dimer31.00.68.151.681.32.00
Pair 3VEGF1 to VEGF3193.55123.7527.67135.63251.47.00

Abbreviations: ISS, International Staging System; VEGF, vascular endothelial growth factor; vWf, von Willebrand factor.

Statistical Comparisons Between Selected Parameters Before and After Treatment Group Into Clinical Stages According to ISS. Abbreviations: ISS, International Staging System; VEGF, vascular endothelial growth factor; vWf, von Willebrand factor. We also evaluated the parameters in both newly diagnosed and relapsed patients with MM. At the time of diagnosis, we can see that angiogenic and coagulation activity is more altered in patients with newly diagnosed MM (mean ± SD newly vWf1 vs relapsed vWf1: 1.61 ± 0.32 IU/mL vs 1.24 ± 0.24 IU/mL; mean ± SD newly D-dimer1 vs relapsed D-dimers1: 1.15 ± 0.16 mg/L vs 0.96 ± 0.92 mg/L; mean ± SD newly VEGF1 vs relapsed VEGF1: 247.25 ± 128.11 pg/mL vs 216.25 ± 80.21 pg/mL). All parameters were reduced back to physiological values. We also observed a decrease in vWf, D-dimer, and VEGF levels in both groups during the follow-up, see Table 4.
Table 4.

Results of Selected Parameters Before, During and After Treatment in Patients With Newly Diagnosed or Relapsed MM.

CharacteristicsvWf1vWf2vWf3D-Dimer1D-Dimer2D-Dimer3VEGF1VEGF2VEGF3
Newly
 Number of patients282828282828282828
 Mean1.611.341.151.04.61.28247.25140.7197.86
 Median1.501.281.12.87.57.2523214785
 Standard deviation.32.2.16.63.28.12128.1144.6741.29
 Minimum1.071.07.70.25.16.12444038
 Maximum2.31.791.52.781.24.52553213192
Relapsing
 Number of patients888888888
 Mean1.241.221.19.96.56.24216.25162.5119.25
 Median1.271.231.23.60.44.25189.50142.5130.50
 Standard deviation.24.24.24.92.49.09111.6880.2157.15
 Minimum.72.70.7.03.06.12545556
 Maximum1.581.511.52.271.25.36366296212

Abbreviations: MM, multiple myeloma; VEGF, vascular endothelial growth factor; vWf, von Willebrand factor.

Results of Selected Parameters Before, During and After Treatment in Patients With Newly Diagnosed or Relapsed MM. Abbreviations: MM, multiple myeloma; VEGF, vascular endothelial growth factor; vWf, von Willebrand factor.

Discussion

Patients with MM are more prone to VTE because of patient-related, disease-related, and treatment-related risk factors. The mechanisms involved in the development of thrombosis in MM are complex and remain poorly understood. The first report on altered coagulation factors in patients with MM dates back to 1976 and concerned an observed increase in FVIII levels.[14] High levels of FVIII and vWF have been reported by Minnema et al in patients with MM, which may contribute to the increased risk of thrombosis.[15] Also, it has been postulated that acquired resistance to protein C, which was observed in up to 23% of patients with MM, may be associated with the increased VTE risk.[16] In addition, several cytokines and transcription factors are elevated in patients with MM, such as interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), VEGF, and nuclear factor κB.[17] In particular, IL-6 and TNF-α promote hemostasis through several pathways, with upregulation of tissue factor, fibrinogen, and FVIII.[18,19] All in all, in patients with MM occurs hypercoagulability, as shown by higher levels of endogenous thrombin potential in a global assay of thrombin generation.[20] Another index of overall hypercoagulability as D-dimer was reported to be increased.[21,22] We had chosen vWf, D-dimer, and VEGF because we expected that they will be elevated before treatment starts. In our study, we worked with hypothesis that all of these factors reflect the total body burden of tumor and levels of these parameters should fall during the treatment. Therefore, we took a blood sample at the time of diagnosis, during therapy, and after achieving complete remission. As we expected, all levels were abnormal at the beginning of the study. In addition, we found a significant correlation between prognostic stage according ISS criteria. In other words, this could mean that patients with stage III have the highest risk of VTE. This could help to explain while 2 prospective randomized trials from GIMEMA (Grupo Italiano Malattie Ematologiche dell´Adulto) did not find a statistically significant difference between different types of antithrombotic prophylaxis.[23,24] During follow-up we observed that all selected parameters were reduced back to physiological values. Decrease in the levels were statistically significant, except stage I. This is consistent with our hypothesis (bigger tumor mass greater alteration of angiogenic and coagulation activity). Furthermore, we found a correlation between patients with newly diagnosed and relapsed MM. Patients with newly diagnosed MM had more elevated parameters. This reflect the fact that patient with newly diagnosed MM have more altered angiogenic and coagulation activity. It can also explain the data from different studies in which the patients with relapsed/refractory MM had a lower risk of VTE compare to patients with newly diagnosed MM.[25,26] There were several limitations in our study, including the limited number of patients and a bias in patient selection (one center experience).

Conclusions

Our study indicates that selected prothrombotic abnormalities occur in patients with MM, which may contribute to the increased the risk of VTE observed in these patients. The levels of our 3 parameters were significantly higher in patient with newly diagnosed versus relapsed MM and also in patients with clinical stage III based on ISS criteria versus patients with stage I or II. Furthermore, there was a strong correlation between prognostic disease stages according to ISS criteria in all patients (newly diagnosed or relapsed MM) during the follow-up period. It would be appropriate to include angiogenic and coagulation parameters into prognostic parameters.
  26 in total

Review 1.  Interleukin 6 and haemostasis.

Authors:  R Kerr; D Stirling; C A Ludlam
Journal:  Br J Haematol       Date:  2001-10       Impact factor: 6.998

Review 2.  Cytokines in coagulation and thrombosis: a preclinical and clinical review.

Authors:  L Joseph; L M Fink; M Hauer-Jensen
Journal:  Blood Coagul Fibrinolysis       Date:  2002-03       Impact factor: 1.276

3.  Factor VIII and factor-VIII-related antigen in multiple myelomatosis and related conditions.

Authors:  E D Gomperts; G Shulman; S R Lynch
Journal:  Br J Haematol       Date:  1976-02       Impact factor: 6.998

4.  High plasma basic fibroblast growth factor concentration is associated with response to thalidomide in progressive multiple myeloma.

Authors:  K Neben; T Moehler; G Egerer; A Kraemer; J Hillengass; A Benner; A D Ho; H Goldschmidt
Journal:  Clin Cancer Res       Date:  2001-09       Impact factor: 12.531

5.  Prognostic value of bone marrow angiogenesis in multiple myeloma.

Authors:  S V Rajkumar; T Leong; P C Roche; R Fonseca; A Dispenzieri; M Q Lacy; J A Lust; T E Witzig; R A Kyle; M A Gertz; P R Greipp
Journal:  Clin Cancer Res       Date:  2000-08       Impact factor: 12.531

Review 6.  Angiogenic and lymphangiogenic molecules in hematological malignancies.

Authors:  Arto Orpana; Petri Salven
Journal:  Leuk Lymphoma       Date:  2002-02

7.  An epidemiologic study of risk factors for deep vein thrombosis in medical outpatients: the Sirius study.

Authors:  M M Samama
Journal:  Arch Intern Med       Date:  2000 Dec 11-25

8.  Acquired von Willebrand disease in monoclonal gammapathies: effectiveness of high-dose intravenous gamma globulin.

Authors:  J J Michiels; H H van Vliet
Journal:  Clin Appl Thromb Hemost       Date:  1999-07       Impact factor: 2.389

9.  Activated protein C resistance in the absence of factor V Leiden mutation is a common finding in multiple myeloma and is associated with an increased risk of thrombotic complications.

Authors:  M Zangari; F Saghafifar; E Anaissie; A Badros; R Desikan; A Fassas; P Mehta; C Morris; A Toor; D Whitfield; E Siegel; B Barlogie; L Fink; G Tricot
Journal:  Blood Coagul Fibrinolysis       Date:  2002-04       Impact factor: 1.276

10.  Extremely high levels of von Willebrand factor antigen and of procoagulant factor VIII found in multiple myeloma patients are associated with activity status but not with thalidomide treatment.

Authors:  M C Minnema; R Fijnheer; P G De Groot; H M Lokhorst
Journal:  J Thromb Haemost       Date:  2003-03       Impact factor: 5.824

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  1 in total

1.  Analysis of Coagulation Abnormality in Patients with Multiple Myeloma and Its Clinical Significance.

Authors:  Pengji Pan; Junxia Liu
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-20       Impact factor: 2.650

  1 in total

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