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Erschienen in: BMC Clinical Pathology 1/2014

Open Access 01.12.2014 | Research article

The VEGF- and PDGF-family of angiogenic markers have prognostic impact in soft tissue sarcomas arising in the extremities and trunk

verfasst von: Thomas K Kilvaer, Eivind Smeland, Andrej Valkov, Sveinung W Sorbye, Roy M Bremnes, Lill-Tove Busund, Tom Donnem

Erschienen in: BMC Clinical Pathology | Ausgabe 1/2014

Abstract

Background

Soft-tissue sarcomas are rare malignant tumors of mesenchymal lineage that can arise in any part of the body. Prognosis, and hence also treatment may vary according to histologic subtype and localization. Angiogenesis is the process of forming new blood vessels from pre-existing ones. The deregulation of this process is thought to be an important step in malignant transformation. This study investigates the prognostic impact of platelet derived growth factor- (PDGF), vascular endothelial growth factor- (VEGF) and fibroblast growth factor (FGF) families in soft-tissue sarcomas of the extremities & trunk (ET) and visceral & retroperitoneal (VR) locations.

Methods

Tumor samples from 181 patients (115 ET and 66 VR) with resected soft tissue sarcomas were collected and tissue microarrays were constructed. Immunohistochemistry was used to evaluate angiogenic marker expression. Recurrence-free survival (RFS), metastasis-free survival (MFS) and disease-specific survival (DSS) were used as endpoints in prognostic impact assessment.

Results

In univariate analyses, almost all investigated angiogenic markers had prognostic impact in the ET group. In contrast, only FGFR-1 showed any significant prognostic impact in the VR group. In the multivariate analyses, PDGF-D (HR = 1.863, 95% CI = 1.057-3.283, P = 0.031), VEGFR-1 (HR = 2.106, 95% CI = 1.038-4.272, P = 0.039) and VEGF-A (HR 2.095, 95% CI 1.028-4.271, P = 0.042) were independent negative prognosticators for DSS, MFS and RFS, respectively, in the ET group. FGFR-1 was an independent positive prognosticator for DSS (HR = 0.243, 95% CI = 0.095-0.618, P = 0.003) in the VR group.

Conclusions

Angiogenic molecules from the PDGF and VEGF families have prognostic impact in soft-tissue sarcomas arising in the ET, but not in VR locations. In the latter histological grade and resection margins are the most important prognostic factors.
Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors participated in designing the study, interpreting the results and in the writing of the paper. TK, AV, SWS and ES collected the clinical and demographic data. TK, SWS and AV scored the TMAs. TK and TD conducted the statistical analyses. TK drafted the manuscript. All authors read and approved the final manuscript.

Background

Soft tissue sarcomas (STS) constitute a highly heterogeneous collection of tumors comprising over 50 histological subtypes, arising from mesenchymal tissue and capable of forming tumors in all parts of the human body [1]. This group amounts to 0.5-1% of the annual tumor burden with a mortality of about 40-60%, resulting in an estimated 11 280 cases and 3 900 deaths in the US in 2012 [2]. It is good practice to distinguish between STSs arising in the extremity & trunk (ET), head & neck (HN) and visceral & retroperitoneal (VR) localizations as treatment and prognosis vary widely according to localization [3]. Further subdivision, according to histological type, malignancy grade, stage and vascular invasion among others, can be conducted [3]. Definitive treatment is radical surgery followed by radiotherapy in case of non-radical surgical margins [4]. Adjuvant chemotherapy for adult STS is still under investigation, and hence the routine use of such treatment is today limited to the palliative setting [5].
Angiogenesis is the process of forming new blood vessels from pre-existing ones. Folkman and coworkers proved this to be a pivotal step in carcinogenesis by showing that tumors would not grow beyond > 2 mm in diameter without forming vasculature [6, 7]. In 2001, Hanahan and Weinberg, suggested angiogenesis as one of the hallmarks of cancer [8] and in the 2011 updated version angiogenesis was still considered one of the most important aspects of cancer progression [9].
Vascular endothelial growth factors (VEGF) and receptors (VEGFR) are pivotal in endothelial cell proliferation and sprouting during angio- and lymphangiogenesis [10]. Platelet-derived growth factors (PDGF) and receptors (PDGFR) play an important part in the regulation of tumor stroma through the recruitment of pericytes and vascular smooth muscle cells helping to stabilize newly formed vessels and through stimulation of stromal cells to produce VEGF-A and thus drive angiogenesis [11, 12]. Fibroblast growth factors (FGF) and receptors (FGFR) drives endothelial cell proliferation and sprouting and activate several molecules involved in extracellular matrix remodelling including matrix metallo-proteinases and urokinase-like plasminogen activator [13].
Our group has previously reported on the expression of VEGF, PDGF and FGF families of growth factors in STSs of all sites [1416]. This report investigates the differential impact of these growth factors in STSs arising in ET versus VR localizations.

Methods

Patients and clinical samples

Primary tumor tissue from anonymized patients diagnosed with STS at the University Hospital of North-Norway and the Hospitals of Arkhangelsk County, Russia, from 1973 through 2006, were collected. In total 496 patients were registered from the hospital databases. Of these, 388 patients were excluded from the study because of: missing clinical data (n = 86), inadequate formalin-fixed paraffin-embedded (FFPE) tissue blocks (n = 161), no surgery performed and/or metastasis present at the time of diagnosis (n = 55) or head and neck sarcomas (n =13). Thus 115 patients with STSs of the extremities and trunk wall and 66 patients with STSs of visceral or retroperitoneal origin, with complete medical records and FFPE tissue blocks were eligible.
This report includes follow-up data as of September 2009. The median follow-up was 53.9 (range 0.5-391.7) months for extremity and trunk patients and 59.4 (range 0.10-366.7) months for visceral and retroperitoneal patients. Complete demographic and clinical data were collected retrospectively. Formalin-fixed and paraffin-embedded tumor specimens were obtained from the archives of the Departments of Pathology at the University Hospital of North-Norway and the Hospitals of Arkhangelsk County, Russia. The tumors were graded according to the French Fédération Nationale des centres de Lutte Contre le Cancer (FNCLCC) system and histologically subtyped according to the World Health Organization guidelines [1, 17]. Wide resection margins were defined as wide local resection with free microscopic margins or amputation of the affected limb or organ.

Microarray construction

All sarcomas were histologically reviewed by two trained pathologists (S. Sorbye and A. Valkov) and the most representative areas of tumor cells (neoplastic mesenchymal cells) were carefully selected and marked on the hematoxylin and eosin (H/E) slide and sampled for the tissue microarray (TMA) blocks. The TMAs were assembled using a tissue-arraying instrument (Beecher Instruments, Silver Springs, MD). The Detailed methodology has been previously reported [18]. Briefly, we used a 0.6 mm diameter stylet, and the study specimens were routinely sampled with four replicate core samples from different areas of neoplastic tissue. Normal tissue from the patients was used as staining control.
To include all core samples, 12 TMA blocks were constructed. Multiple 5-μm sections were cut with a Micron microtome (HM355S) and stained by specific antibodies for immunohistochemistry (IHC) analysis.

Immunohistochemistry

The applied antibodies were subjected to in-house validation by the manufacturer for IHC analysis on paraffin-embedded material. The detailed methodology has previously been reported [1416].

Scoring of immunohistochemistry

The ARIOL imaging system (Genetix, San Jose, CA) was used to scan the slides of antibody staining of the TMAs and the dominant staining intensity was scored as: 0 = negative; 1 = weak; 2 = intermediate; 3 = strong semi-qantitively on computer screen. The detailed methodology has previously been reported and cut-off values chosen were the same as in our previous studies [1416]. High expression in tumor cells were defined as ≥ 1 (VEGF-C), ≥ 1.5 (PDGF-A, PDGF-C, PDGF-B, VEGF-A, VEGF-D, VEGFR-1-2 and -3) and ≥ 2 (PDGF-D, PDGFR-α, PDGFR-β, FGF2 and FGFR-1).

Statistical methods

All statistical analyses were done using the statistical package SPSS (Chicago, IL), version 16. The IHC scores from each observer were compared for interobserver reliability by use of a two-way random effect model with absolute agreement definition. The intraclass correlation coefficient (reliability coefficient) was obtained from these results. The Chi-square test and Fishers Exact test were used to examine the association between molecular marker expression and various clinicopathological parameters. Univariate analyses were done using the Kaplan-Meier method, and statistical significance between survival curves was assessed by the log-rank test. Disease-specific survival (DSS) was determined from the date of diagnosis to the time of cancer related death. Metastasis-free survival (MFS) was defined from the date of diagnosis to the clinical appearance of the first metastasis. Recurrence-free survival (RFS), was defined from the date of diagnosis to the clinical appearance of the first recurrence. To assess the independent value of different pretreatment variables on survival, metastasis and local recurrence, in the presence of other variables, multivariate analyses were carried out using the Cox proportional hazards model. Only variables of significant value from the univariate analyses were entered into the Cox regression analysis. Probability for stepwise entry and removal was set at .05 and .10, respectively. The significance level used for all statistical tests was P < 0.05.

Ethical clearance

The Norwegian National Data Inspection Board and The Regional Committee for Research Ethics (Northern Norway) approved the study.

Results

Clinicopathological variables

The clinicopathological variables are summarized in Table 1. In the ET group, comprising 115 patients, median age was 59 (range 0-89) years, 50% of the patients were male, 67 patients were Norwegian and 48 Russian and 68% of the tumors were located in the extremities. Of the histological subtypes represented, 48 were undifferentiated pleomorphic sarcomas, 18 liposarcomas, 12 fibrosarcomas, 10 synovial sarcomas, 9 leiomyosarcomas, 5 angiosarcomas, 5 rhabdomyosarcomas, 5 malignant peripheral nerve sheath tumors (MPNST) and 3 sarcoma not otherwise specified (NOS).
Table 1
Prognostic clinicopathological variables as predictors for disease-specific survival, metastasis and local recurrence in patients with resected Extremitiy & Trunk and Visceral & Retroperitoneal soft-tissue sarcomas (univariate analyses, log rank test, n = 115 and 66 respectively)
 
Extremity & trunk
Visceral & retroperitoneal
  
Disease-specific survival
Metastasis-free survival
Recurrence-free survival
 
Disease-specific survival
Metastasis-free survival
Recurrence-free survival
Characteristics
Patients (n)
5-Year survival (%)
P
5-Year survival (%)
P
5-Year survival (%)
P
Patients (n)
5-Year survival (%)
P
5-Year survival (%)
P
5-Year survival (%)
P
Age
              
≤ 20 years
12
42
0.431
42
0.129
73
0.690
1
0
<0.001
100
0.112
100
0.786
21-60 years
48
61
 
63
 
69
 
36
71
 
67
 
71
 
> 60 years
55
55
 
69
 
64
 
29
43
 
44
 
62
 
Gender
              
Male
57
56
0.298
66
0.368
66
0.759
15
79
0.039
86
0.022
66
0.799
Female
58
54
 
61
 
67
 
51
51
 
48
 
68
 
Patient nationality
              
Norwegian
67
65
0.004
74
0.008
71
0.249
54
62
0.051
59
0.122
66
0.892
Russian
48
42
 
48
 
57
 
12
36
 
46
 
59
 
Histological entity
              
Pleomorphic sarcoma
48
42
0.004
61
0.001
56
0.664
6
50
0.917
67
0.264
40
0.274
Leiomyosarcoma
9
100
 
78
 
78
 
39
55
 
46
 
77
 
Liposarcoma
18
83
 
94
 
89
 
13
62
 
81
 
54
 
Fibrosarcoma
12
57
 
67
 
55
 
0
      
Angiosarcoma
5
40
 
20
 
67
 
2
50
 
50
 
50
 
Rhabdomyosarcoma
5
60
 
60
 
60
 
1
  
100
 
100
 
MPNST
5
53
 
60
 
60
 
4
67
 
100
 
100
 
Synovial sarcoma
10
13
 
30
 
64
 
1
100
 
0
 
0
 
Sarcoma NOS
3
100
 
67
 
67
 
0
      
Tumor size
              
< 5 cm
38
70
0.048
81
0.053
74
0.085
11
82
0.107
73
0.259
89
0.006
5-10 cm
45
48
 
53
 
61
 
24
62
 
62
 
70
 
> 10 cm
30
49
 
58
 
62
 
31
45
 
45
 
49
 
Missing
2
             
Malignancy grade
              
1
29
89
<0.001
89
0.001
85
0.054
23
78
0.005
77
0.051
86
0.046
2
41
56
 
65
 
60
 
29
46
 
42
 
58
 
3
45
35
 
43
 
57
 
14
46
 
47
 
49
 
Vascular invasion
              
Absent
64
70
<0.001
85
<0.001
79
<0.001
43
59
0.656
60
0.847
66
0.675
Present
50
35
 
33
 
43
 
20
51
 
54
 
78
 
Missing
1
      
3
      
Tumor depth
              
Superficial
12
91
0.010
100
0.012
91
0.041
32
      
Deep
103
51
 
59
 
63
 
34
      
Resection margins
              
Wide
61
66
0.004
72
0.045
82
<0.001
50
65
0.021
59
0.654
90
<0.001
Non-wide
54
44
 
54
 
46
 
16
50
 
53
 
44
 
Abbreviations: MPNST Malingnant peripheral nerve sheat tumor, NOS Not otherwise specified.
In the VR group, median age was 58 (range 13-88) years, 23% of the patients were male and 54 patients were Norwegian and 12 Russian. Of the histological subtypes represented, 39 were leiomyosarcomas, 13 liposarcomas, 6 pleomorphic sarcomas, 4 neurofibrosarcomas/MPNSTs, 2 angiosarcomas, 1 rhabdomyosarcoma and 1 synovial sarcoma.

Interobserver variability

Interobserver scoring agreement was tested for PDGF-B, PDGFR-α, VEGF-C, VEGFR-3, FGF2 and FGFR1 and found to be good (0.77-0.90, P < 0.001) [1416].

Univariate analyses

The impact of the clinicopathological variables on DSS, MFS and RFS in the ET group are summarized in Table 1. Patient nationality (P = 0.004), histological entity (p = 0.004), tumor size (p = 0.048), malignancy grade (P < 0.001), vascular invasion (P <0.001), tumor depth (P = 0.010) and resection margins (P = 0.004) were all prognostic indicators of DSS. Patient nationality (P = 0.008), histological entity (P = 0.001), malignancy grade (P = 0.001), vascular invasion (P < 0.001), tumor depth (P = 0.012) and resection margins (P = 0.045) were prognostic indicators of MFS. Finally, vascular invasion (P < 0.001), tumor depth (P = 0.041) and resection margins (P < 0.001) were prognostic indicators of RFS.
The impact of the angiogenic markers on DSS, MFS and RFS in the ET group are summarized in Table 2. PDGF-A (P = 0.035), PDGF-B (P = 0.006), PDGF-C (P = 0.032), PDGF-D (P = 0.003), PDGFR-α (P = 0.002), PDGFR-β (P = 0.029), VEGF-A (P = 0.001), VEGFR-1 (P = 0.001) and FGF2 (P = 0.033) were prognostic indicators of DSS. PDGF-A (P = 0.007), PDGF-B (P = 0.003), PDGFR-α (P = 0.002), PDGFR-β (P = 0.002), VEGF-A (P = 0.001), VEGFR-1 (P < 0.001) and VEGFR-3 (P = 0.008) were prognostic indicators of MFS. PDGF-A (P = 0.012), PDGF-B (P = 0.015), PDGFR-α (P = 0.011), VEGF-A (P = 0.002) and VEGFR-1 (P = 0.036) were prognostic indicators of RFS.
Table 2
Angiogenic markers as predictors for disease-specific survival, metastasis and local recurrence in patients with resected soft-tissue sarcomas of the extremities or trunk (univariate analyses, log rank test, n = 115)
  
Disase-specific survival
Metastasis-free survival
Recurrence-free survival
Marker expression
Patients (n)
5-Year survival (%)
P
5-Year survival (%)
P
5-Year survival (%)
P
PDGF-A
       
Low
54
60
0.035
74
0.007
79
0.012
High
58
52
 
51
 
55
 
Missing
3
      
PDGF-B
       
Low
44
68
0.006
78
0.003
82
0.015
High
68
48
 
52
 
56
 
Missing
3
      
PDGF-C
       
Low
31
71
0.032
68
0.214
68
0.564
High
80
50
 
61
 
65
 
Missing
4
      
PDGF-D
       
Low
73
67
0.003
70
0.051
77
0.002
High
40
34
 
49
 
42
 
Missing
2
      
PDGFR-α
       
Low
69
67
0.002
74
0.002
77
0.011
High
43
38
 
42
 
45
 
Missing
3
      
PDGFR-β
       
Low
85
64
0.029
72
0.002
69
0.825
High
24
32
 
35
 
58
 
Missing
6
      
VEGF-A
       
Low
60
65
0.001
75
0.001
77
0.002
High
51
43
 
48
 
51
 
Missing
4
      
VEGF-C
       
Low
69
55
0.476
68
0.083
68
0.232
High
38
60
 
56
 
63
 
Missing
8
      
VEGF-D
       
Low
84
57
0.131
67
0.081
70
0.177
High
29
50
 
51
 
55
 
Missing
2
      
VEGFR-1
       
Low
67
63
0.002
77
<0.001
72
0.036
High
44
46
 
43
 
58
 
Missing
4
      
VEGFR-2
       
Low
78
58
0.332
67
0.189
71
0.240
High
28
52
 
53
 
57
 
Missing
9
      
VEGFR-3
       
Low
75
60
0.053
70
0.008
70
0.159
High
34
45
 
46
 
57
 
Missing
6
      
FGF2
       
Low
75
61
0.033
66
0.214
70
0.648
High
35
49
 
56
 
67
 
Missing
6
      
FGFR-1
       
Low
83
58
0.460
64
0.411
66
0.768
High
26
47
 
55
 
71
 
Missing
6
      
Abbreviations: PDGF Platelet-derived growth factor, PDGFR Platelet-derived growth factor receptor, VEGF Vascular endothelial growth factor, VEGFR Vascular endothelial growth factor receptor, FGF Fibroblast growth factor, FGFR Fibroblast growth factor receptor.
The impact of the clinicopathological variables on DSS, MFS and RFS in the VR group are summarized in Table 1. Age (P < 0.001), gender (P = 0.039), malignancy grade (P = 0.005) and resection margins (P = 0.021) were prognostic indicators of DSS. Gender (P = 0.022) was a prognostic indicator of MFS and tumor size (P = 0.006), malignancy grade (P = 0.046) and resection margins (P < 0.001) were prognostic indicators of RFS.
The impact of angiogenic markers on DSS, MFS and RFS in the VR group is summarized in Table 3. FGRF-1 (P = 0.023) was the only prognostic indicator for DSS and PDGF-C (P = 0.045) for RFS.
Table 3
Angiogenic markers as predictors for disease-specific survival, metastasis and local recurrence in patients with resected visceral & retroperitoneal soft-tissue sarcomas (univariate analyses, log rank test, n = 66)
  
Disase-specific survival
Metastasis-free survival
Recurrence-free survival
Marker expression
Patients (n)
5-Year survival (%)
P
5-Year survival (%)
P
5-Year survival (%)
P
PDGF-A
       
Low
23
49
0.473
63
0.593
65
0.315
High
39
63
 
54
 
73
 
Missing
4
      
PDGF-B
       
Low
14
54
0.604
82
0.088
61
0.291
High
48
59
 
51
 
73
 
Missing
4
      
PDGF-C
       
Low
20
39
0.297
59
0.986
53
0.045
High
41
65
 
56
 
76
 
Missing
5
      
PDGF-D
       
Low
48
52
0.078
52
0.197
70
0.343
High
15
80
 
73
 
59
 
Missing
3
      
PDGFR-α
       
Low
41
56
0.672
61
0.527
71
0.761
High
21
61
 
51
 
66
 
Missing
4
      
PDGFR-β
       
Low
58
57
0.360
54
0.532
70
0.766
High
4
75
 
75
 
75
 
Missing
4
      
VEGF-A
       
Low
34
51
0.326
64
0.719
64
0.054
High
29
68
 
53
 
79
 
Missing
3
      
VEGF-C
       
Low
34
66
0.402
69
0.071
62
0.051
High
29
50
 
45
 
84
 
Missing
3
      
VEGF-D
       
Low
34
60
0.856
62
0.388
63
0.116
High
30
55
 
51
 
78
 
Missing
2
      
VEGFR-1
       
Low
37
55
0.724
63
0.358
70
0.510
High
25
63
 
49
 
71
 
Missing
3
      
VEGFR-2
       
Low
44
55
0.858
63
0.446
69
0.821
High
19
67
 
48
 
75
 
Missing
3
      
VEGFR-3
       
Low
36
54
0.552
59
0.821
65
0.220
High
25
61
 
52
 
76
 
Missing
5
      
FGF2
       
Low
39
56
0.805
51
0.214
74
0.748
High
20
65
 
67
 
66
 
Missing
7
      
FGFR-1
       
Low
43
45
0.023
56
0.385
68
0.448
High
20
89
 
63
 
78
 
Missing
3
      
Abbreviations: PDGF Platelet-derived growth factor, PDGFR Platelet-derived growth factor receptor, VEGF Vascular endothelial growth factor, VEGFR Vascular endothelial growth factor receptor, FGF Fibroblast growth factor, FGFR Fibroblast growth factor receptor.

Multivariate cox proportional hazards analysis

Table 4 presents multivariate analyses of clinicopathological and angiogenic marker variables with respect to DSS, MFS and RFS in the ET and VR groups, respectively.
Table 4
Multivariate analyses of clinopathological variables and angiogenic markers as prognostic values for disease-specific survival, metastasis and local recurrence in patients with resected soft-tissue sarcomas of the trunk or extremities (cox proportional hazards test)
 
Disase-specific survival
 
Metastasis-free survival
 
Recurrence-free survival
 
Variable
HR
95% CI
P
HR
95% CI
P
HR
95% CI
P
Extremity & trunk
Malignancy grade
         
1
1.000
 
<0.001*
      
2
4.066
1.389-11.901
0.010
      
3
6.025
2.058-17.634
0.001
      
Vascular invasion
         
Absent
1.000
  
1.000
  
1.000
  
Present
2.141
1.188-3.859
0.011
5.284
2.418-11.544
<0.001
2.135
1.019-4.475
0.045
Resection margins
         
Wide
1.000
     
1.000
  
Non-wide
1.818
1.032-3.203
0.039
   
2.687
1.289-5.602
0.008
PDGF-B
         
Low
      
1.000
  
High
      
2.099
0.937-4.706
0.072
PDGF-D
         
Low
1.000
     
1.000
  
High
1.863
1.057-3.283
0.031
   
1.844
0.931-3.653
0.079
VEGF-A
         
Low
      
1.000
  
High
      
2.095
1.028-4.271
0.042
VEGFR-1
         
Low
   
1.000
     
High
   
2.106
1.038-4.272
0.039
   
Visceral & retroperitoneal
Gender
         
Male
   
1.000
     
Female
   
4.612
1.089-19.536
0.038
   
Malignancy grade
         
1
1.000
 
0.003*
   
1.000
 
0.061
2
4.812
1.823-12.705
0.002
   
2.069
0.630-6.794
0.231
3
5.646
1.790-17.804
0.003
   
5.665
1.330-24.123
0.019
Resection margins
         
Wide
1.000
     
1.000
  
Non-wide
2.712
1.222-6.018
0.014
   
11.996
3.128-46.005
<0.001
PDGF-C
         
Low
      
1.000
  
High
      
0.413
0.157-1.089
0.074
FGFR-1
         
Low
1.000
        
High
0.243
0.095-0.618
0.003
      
Abbreviations: HR Hazard ratio, CI Confidence interval, VEGF Vascular endothelial growth factor, VEGFR Vascular endothelial growth factor receptor, PDGFR Platelet-derived growth factor receptor, FGFR Fibroblast growth factor receptor, *overall significance as prognostic factor.
In the ET group, high malignancy grade (P < 0.001), the presence of vascular invasion (P = 0.011), non-wide resection margins (P = 0.039) and high expression of PDGF-D (HR = 1.863, 95% CI = 1.057-3.283, P = 0.031) were significant independent prognostic indicators of DSS. Further, the presence of vascular invasion (P < 0.001) and high expression of VEGFR-1 (HR = 2.106, 95% CI = 1.038-4.272, P = 0.039) were significant independent prognostic factors of MFS, while the presence of vascular invasion (P = 0.045), non-wide resection margins (P = 0.008) and high expression of VEGF-A (HR 2.095, 95% CI 1.028-4.271, P = 0.042) were significant independent prognostic factors of RFS.
In the VR group, high malignancy grade (P = 0.003) and non-wide resection margins (P = 0.014) were significant independent adverse prognostic indicators of DSS whereas high FGFR-1 expression (HR = 0.243, 95% CI = 0.095-0.618, P = 0.003) was an independent positive prognostic indicator of DSS. Female gender (P = 0.038) was an independent negative prognostic indicator of MFS while non-wide resection margins (P < 0.001) was an independent negative prognostic indicator of RFS.

Discussion and conclusions

In our univariate analyses high expression of most examined angiogenic markers were prognosticators of DSS and/or MFS and/or RFS in the ET group. Further, PDGF-D was an independent negative prognostic indicator of DSS, VEGFR-1 an independent negative prognostic indicator of MFS and VEGF-A an independent negative prognostic indicator of RFS. In contrast, only FGFR-1 was a prognosticator of DSS in both the univariate and multivariate analyses of the VR group. To our knowledge, this is the first comparison of the expression of angiogenic molecules in ET versus VR STSs.
Current knowledge of the importance of tumor localization (ET versusVR tumors) when it comes to the prognostic impact of angiogenic markers in STSs is limited. Yudoh et. al. investigated the level of VEGF-A in tissue from ET patients and found high levels to predict survival, local recurrence and metastasis [18]. We have previously reported on the expression of PDGFs, VEGFs and FGFs in a larger cohort of STS of mixed sites and histology and found high expression of VEGFR-3, PDGF-B and FGF2 to have independent negative prognostic impact on DSS [1416]. When comparing the expression of angiogenic markers based on tumor location, it becomes apparent that these variables almost exclusively have prognostic impact in STS arising in the ET group (Tables 2, 3 and 4). This difference could to some extent be due to a smaller number of patients in the VR group, with a resulting increased risk of false negative results. However, near all angiogenic markers showed significant prognostic impact in the univariate analyses of the ET group, whereas only FGFR-1 showed prognostic impact in the VR group. Table 1 summarizes the clinopathological values in the ET and VR groups and it is apparent that the VR group contains a higher percentage of leiomysarcomas and liposarcomas. The different distribution of histologies between the ET and VR groups might suggest that angiogenic markers have higher impact in STSs arising in ET locations. Another explanation may be that ET tumors, even the slow growing ones, will produce symptoms when they reach a certain size due to limits created by connective and muscle tissue and blood and lymph vessels. VR tumors could in contrast grow to significant size before producing symptoms. This may explain our results as VR tumors in many cases only are found after the angiogenic switch have occurred, thus the impact of angiogenic markers have been negated in these tumors.
In the PDGF-axis, all markers were prognosticators of DSS, all but PDGF-C were prognosticators of MFS and all but PDGF-C and PDGFR-β were prognosticators of RFS in the ET group (Table 2), while none of the PDGFs were prognosticators in the VR group. Further, PDGF-D was found to be an independent negative prognostic factor for DSS in the ET group. In our previous study, PDGF-B was an independent prognosticator of DSS [15], and in this study PDGF-D is an independent prognosticator of DSS. PDGF-B binds all PDGFRs while PDGF-D binds PDGFR-αβ and-ββ [11]. Both PDGF-B and PDGF-D has been shown to exhibit similar and extensive angiogenic and transforming abilities [19, 20]. Although our results cannot distinguish whether PDGF signalling drives tumor development through angiogenesis or other pathways, they strongly suggest PDGF signalling to be an important part of STS growth and progression.
In the VEGF-axis, VEGF-A, and VEGFR-1 were prognosticators of DSS, MFS and RFS in the ET group, while none of the VEGFs were prognosticators in the VR group (Table 2). Further, VEGFR-1 was an independent prognostic indicator of MFS and VEGF-A was an independent prognostic indicator of RFS in the ET group. VEGF-A signalling is the major angiogenic pathway, and high tumor expression and availability in serum has previously been associated with malignancy grade, metastasis, local recurrence and worse overall survival in STS patients [18, 2126]. VEGFR-1 is thought to modulate VEGF-A signalling through VEGFR-2, has anti-angiogenic properties in its soluble form, and has been linked to metastasis in experimental studies suggesting a feasible biological link for our finding in these STS patients [27, 28]. This latter finding is quite interesting as antibodies and small-molecules targeting VEGFR-1 are being developed [29, 30].
In the FGF-axis, FGF-2 was an unfavorable prognostic indicator of DSS in ET group. FGF2 is thought to drive cell-cycling, activate extracellular matrix remodelling and to rescue PDGF-B and VEGF-A driven angiogenesis in the presence of their respective inhibitors [13, 31, 32]. Surprisingly, FGFR-1 was an independent positive indicator of DSS in the VR group. To our knowledge these are new data, but these results have to be validated before a firm conclusion may be drawn due to the low number of patients.
This study enhances our current knowledge on angiogenic prognosticators in STSs, strongly indicates the involvement of the PDGF and VEGF pathways in ET STS development and adds to the growing body of evidence suggesting that STSs of different sites and histology should be analyzed independently in future studies. Further emphasis should also be put on validating VEGFR-1 as a predictor of MFS in ET STS patients, as these patients may benefit from adjuvant therapy targeting VEGFR-1.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors participated in designing the study, interpreting the results and in the writing of the paper. TK, AV, SWS and ES collected the clinical and demographic data. TK, SWS and AV scored the TMAs. TK and TD conducted the statistical analyses. TK drafted the manuscript. All authors read and approved the final manuscript.
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Metadaten
Titel
The VEGF- and PDGF-family of angiogenic markers have prognostic impact in soft tissue sarcomas arising in the extremities and trunk
verfasst von
Thomas K Kilvaer
Eivind Smeland
Andrej Valkov
Sveinung W Sorbye
Roy M Bremnes
Lill-Tove Busund
Tom Donnem
Publikationsdatum
01.12.2014
Verlag
BioMed Central
Erschienen in
BMC Clinical Pathology / Ausgabe 1/2014
Elektronische ISSN: 1472-6890
DOI
https://doi.org/10.1186/1472-6890-14-5

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