Prognostic impact of Skp2, ER and PGR in male and female patients with soft tissue sarcomas

  • Sveinung W Sorbye1, 2Email author,

    Affiliated with

    • Thomas K Kilvaer2, 4,

      Affiliated with

      • Andrej Valkov1, 2,

        Affiliated with

        • Tom Donnem3, 4,

          Affiliated with

          • Eivind Smeland3,

            Affiliated with

            • Khalid Al-Shibli2, 5,

              Affiliated with

              • Roy M Bremnes3, 4 and

                Affiliated with

                • Lill-Tove Busund1, 2

                  Affiliated with

                  BMC Clinical Pathology201313:9

                  DOI: 10.1186/1472-6890-13-9

                  Received: 22 October 2012

                  Accepted: 8 March 2013

                  Published: 15 March 2013

                  Abstract

                  Background

                  S-phase kinase-associated protein 2 (Skp2) is a member of mammalian F-box proteins. The purpose of this study is to clarify the prognostic significance of expression of Skp2 related to gender, estrogen receptor (ER) and progesterone receptor (PGR) in soft tissue sarcomas (STS). Skp2 has been demonstrated to display an oncogenic function since its overexpression has been observed in many human cancers. Optimized treatment of STS requires better identification of high-risk patients who will benefit from adjuvant therapy. The prognostic significance of Skp2 related to ER and PGR in STS has not been sufficiently investigated.

                  Methods

                  Tissue microarrays from 193 STS patients were constructed from duplicate cores of viable and representative neoplastic tumor areas. Immunohistochemistry was used to evaluate the expression of Skp2, ER and PGR.

                  Results

                  In univariate analyses, high tumor expression of Skp2 correlated (p = 0.050) with reduced disease-specific survival (DSS). In subgroup analyses expression of PGR in males (p = 0.010) and in patients older than 60 years (p = 0.043) were negative prognostic factors for DSS. Expression of ER in females was a positive prognostic factor for DSS (p = 0.041). In co-expression analyses in the whole cohort, low expression of Skp2 in combination with low expression of ER was positive for DSS (p = 0.049). In females high expression of Skp2 in combination with low expression of ER was a negative prognosticator (p = 0.021). In the multivariate analyses, age (p = 0.012), malignancy grade (p < 0.001), wide resection margins (P = 0.010), ER negative / PGR positive co-expression profile (p = 0.002) and ER positive / PGR negative co-expression profile (p = 0.015) were independent negative prognostic factors for DSS. In females expression of Skp2 (p = 0.006) was associated with shorter DSS.

                  Conclusions

                  We found diverse prognostic impacts of expression of Skp2, ER, PGR and DSS in male and female patients with STS. In men, but not women, ER positive / PGR negative co-expression profile was an independent negative prognostic factor for DSS. In women, but not men, high expression of Skp2 was associated with reduced DSS.

                  Background

                  S-phase kinase-associated protein 2 (Skp2), a mammalian F-box protein, displays S-phase-promoting function, through ubiquitin-mediated proteolysis of the CDK inhibitor p27. Skp2 has been shown to regulate cellular proliferation by targeting several cell cycle-regulated proteins for ubiquitination and degradation. Skp2 has also been demonstrated to display an oncogenic function since its overexpression has been observed in many human cancers [1]. High expression of Skp2 was reported to correlate with reduced overall survival in patients with myxofibrosarcoma [2, 3]. Di Vizio et al. [4] found that Skp2 expression correlates with poor prognosis in gastrointestinal stromal tumors (GIST). Oliveira found that Skp2 expression is associated with cell proliferation and a worse prognosis in 182 soft tissue sarcomas [5]. In a previous study we showed that high expression of Skp2 was a negative prognostic factor for DSS [6]. Interestingly, this correlation was statistically significant in females only, not in males. This may be related to differences in expression of sexual hormone receptors (ER and PGR) in male and female STS patients [7, 8]. In previous studies, we have shown the prognostic value of female steroid hormone receptors in STSs, both alone and in coexpression with TGF-β, fascin and Akt isoforms [79]. Such prognostic impact is not surprising, since both ER and PGR regulate growth and cell differentiation upon ligand-dependent and ligand-independent activation and are in essence growth factors. However, the prognostic significance of Skp2 related to ER and PGR in STS has not been sufficiently investigated.

                  The purpose of this study is to clarify the prognostic significance of expression of Skp2 related to age, gender and female steroid hormone receptors (ER and PGR) in non-gastrointestinal stromal tumor (non-GIST) STS. To achieve this, we analyzed the expression of these markers in 193 patients with non-GIST STS in relation to demographic and other clinicopathological variables. Our major hypothesis is that a different prognostic significance of Skp2 in men and women exists and is related to diverse gender expressions of ER and PGR.

                  Methods

                  Primary tumor tissues from patients diagnosed with STS at the University Hospital of North Norway (UNN) from 1973 to 2006 and the Hospitals of Arkhangelsk region, Russia, were used in this retrospective study. In total, 496 potentially suitable patient records were identified from the hospitals’ databases. Of these, 247 patients were excluded due to missing clinical data (n = 86) or inadequate material for histological examination (n = 161). In addition, 33 were excluded because of metastasis at the time of the diagnosis, 13 were excluded because they had no surgery, and 10 patients had both metastasis and no surgery, leaving a total of 193 patients eligible for this study. This report includes data for 131 Norwegian patients and 62 Russian patients followed until September 2009. The median follow-up was 38 (range 0–392) months. 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 UNN and Arkhangelsk. The tumors were graded according to the French Fédération Nationales des Centres de Lutte Contre le Cancer (FNCLCC) system [WHO Tumors of Soft Tissue and bone, 2002]. Wide resection margins were defined as wide local resection with free microscopic margins or amputation of the affected limb or organ. Non-wide resection margins were defined as either marginal or intralesional resection margins.

                  Microarray construction

                  Two pathologists (AV and SWS) reviewed the histology of all soft tissue sarcoma cases. Tissue microarrays (TMAs) were constructed for high-throughput molecular pathology research [10]. The most representative areas of viable tumor cells were carefully selected and marked on the hematoxylin and eosin (HE) slides for the corresponding donor blocks and sampled for the tissue microarray collector blocks. The TMAs were assembled using a tissue-arraying instrument (Beecher Instruments).

                  Studies suggest that punching multiple 0.6 mm cores from different regions captures the heterogeneity of the tumors more accurately than a single 2 to 4 mm core [11]. We therefore chose to use two 0.6-mm cores of viable neoplastic tissue. After reviewing all original sections of the tumor and taking heterogeneity into consideration, the two cores were selected to be as representative as possible (different areas). To include all core samples, 12 tissue array blocks were constructed. Multiple 4-μm sections were cut with a Micron microtome (HM355S) and stained with specific antibodies for immunohistochemistry (IHC).

                  Immunohistochemistry (IHC)

                  The applied antibodies were subjected to in-house validation by the manufacturer of IHC analysis on paraffin-embedded material. All staining was performed in the Ventana Benchmark XT automated slide stainer (Ventana Medical System, Illkirch, France). Before staining, the sections were incubated over night at 60 degrees Celsius. Tissue sections were incubated with primary mouse monoclonal antibodies recognizing Skp2 (Zymed, catalog number 18–0307, 1:10), ER (Ventana, catalog number 790–4324, ready to use) and PGR (Ventana, catalog number 790–4296). The incubation periods were 40 minutes for Skp2, 32 minutes for ER and 24 min for PGR. This was followed by application of liquid diaminobenzidine as substrate-chromogen, yielding a brown reaction product at the site of the target antigen (Ventana iView DAB Detection Kit, catalog number 760–091). iVIEW DAB Detection Kit is an indirect biotin streptavidin system for detecting mouse and rabbit primary antibodies. The DAB chromogen produces a dark brown precipitate that is readily visualized by light microscopy. All reagents are provided pre-diluted by the manufacturer for use in Ventana Benchmark XT. Finally, slides were counterstained with hematoxylin to visualize the nuclei. For each antibody, including negative controls, all TMA staining were performed in a single experiment. In the TMA we also used cores from carcinomas and normal tissue as positive and negative controls.

                  Scoring of IHC

                  The ARIOL imaging system (Genetix, San Jose, CA) was used to scan the slides for antibody staining of the TMAs. The specimens were scanned at a low resolution (1.25×) and a high resolution (20×) using an Olympus BX 61 microscope with an automated platform (Prior). The slides were loaded in the automated slide loader (Applied Imaging SL 50). Representative and viable tissue sections were scored manually on a computer screen semi-quantitatively for nuclear and/or cytoplasmic staining. The expression of Skp2, ER and PGR was scored as: 0, negative; 1, weak; 2, intermediate and 3, strong (Figure 1). The score for each patient was based on the mean scoring of cores from one or several biopsies. To achieve maximal reproducibility in all cases, every staining was dichotomized (negative and positive expression). Positive expression was defined as mean score > 0. All samples were anonymized and independently scored by two pathologists (AV and SWS). In case of disagreement, the slides were re-examined and the observers reached a consensus. When assessing a variable for a given score, the scores of the other variables and the outcome were hidden from the observers.
                  http://static-content.springer.com/image/art%3A10.1186%2F1472-6890-13-9/MediaObjects/12907_2012_127_Fig1_HTML.jpg
                  Figure 1

                  Pictures of cores. Immunohistochemistry microscopic pictures of tissue micro array of soft tissue sarcoma representing different expression of Skp2 and ER. (A) Skp2 low score; (B) Skp2 high score; (C) ER low score; (D) ER high score; (E) PGR low score; (F) PGR high score; Original magnification ×100 and ×400.

                  Statistical methods

                  All statistical analysis was performed using the statistical package SPSS (Chicago, IL), version 18. The IHC scores from each observer were compared for inter-observer reliability by use of a two-way random effects model with absolute agreement definition. The intra-class correlation coefficient (reliability coefficient) was obtained from these results.

                  Chi-square and Fisher exact tests 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 histologically confirmed STS diagnosis. Correlation of marker expression was done using the Pearson correlation (2-tailed) at the 0.05 and 0.01 levels.

                  Multivariate analysis was carried out using the Cox proportional hazards model to assess the specific impact of each pre-treatment variable on survival in the presence of other variables. Variables of significant value from the univariate analysis were entered into the Cox regression analysis. Probability for stepwise entry and removal was set at 0.05 and 0.10, respectively. The significance level used was p < 0.05.

                  Consent

                  The National Cancer Data Inspection Board and The Regional Committee for Research Ethics (REK nord) approved the study. The material was collected from our approved biobank for paraffin embedded material and slides. The Regional Committee approved that written consent from the patients for their information to be stored in the hospital database and used for research was not needed because most of the material was more than 10 years old, and most of the patients being dead. The ethics committee specifically waived the need for consent. Data were analyzed anonymously.

                  Results

                  Clinicopathological variables

                  Demographic, clinical, and histopathological variables are shown in Table 1. Patient age ranged from 0–89 years (mean 55 years), and 42% of patients (81/193) were male. Treatment for all patients included surgery: 104 patients received surgery only; 52 patients received surgery and radiotherapy; 28 patients received surgery and chemotherapy; 9 patients received surgery, radiotherapy and chemotherapy. The 5-year survival for patients with wide and non-wide resection margins was 66% and 46% respectively, Table 1.
                  Table 1

                  Prognostic clinicopathological variables as predictors for disease-specific survival of soft tissue sarcomas (univariate analysis, log rank test), N = 193

                  Characteristic

                  Patients (n)

                  Patients (%)

                  Median survival (months)

                  5-Year survival (%)

                  P

                  Age

                       

                  <20 years

                  17

                  9

                  190

                  47

                  0.064

                  20–59 years

                  85

                  44

                  235

                  63

                   

                  ≥60 years

                  91

                  47

                  111

                  51

                   

                  Gender

                       

                  Male

                  81

                  42

                  235

                  60

                  0.087

                  Female

                  112

                  58

                  180

                  53

                   

                  Nationality

                       

                  Norwegian

                  131

                  68

                  228

                  62

                  0.005

                  Russian

                  62

                  32

                  81

                  44

                   

                  Histology

                       

                  Pleomorphic sarcoma

                  57

                  30

                  52

                  45

                  0.031

                  Leiomyosarcoma

                  47

                  24

                  89

                  64

                   

                  Liposarcoma

                  32

                  17

                  NR

                  71

                   

                  MF/MFT

                  16

                  8

                  123

                  56

                   

                  Angiosarcoma

                  8

                  4

                  10

                  38

                   

                  Rhabdomyosarcoma

                  9

                  5

                  NR

                  67

                   

                  MPNST

                  9

                  5

                  NR

                  56

                   

                  Synovial sarcoma

                  12

                  6

                  31

                  30

                   

                  Other STS

                  3

                  2

                  NR

                  -

                   

                  Tumor localization

                       

                  Extremities

                  78

                  40

                  201

                  56

                  0.922

                  Trunk

                  37

                  19

                  214

                  53

                   

                  Retroperitoneum

                  27

                  14

                  135

                  51

                   

                  Head/Neck

                  13

                  7

                  191

                  58

                   

                  Visceral

                  38

                  20

                  202

                  62

                   

                  Tumor size

                       

                  <5 cm

                  57

                  30

                  257

                  69

                  0.026

                  5–9 cm

                  73

                  38

                  183

                  54

                   

                  ≥10 cm

                  61

                  32

                  127

                  48

                   

                  Missing

                  2

                  1

                     

                  Malignancy grade FNCLCC

                       

                  1

                  54

                  28

                  NR

                  81

                  <0.001

                  2

                  76

                  39

                  80

                  55

                   

                  3

                  63

                  33

                  28

                  36

                   

                  Surgical margins

                       

                  Wide

                  97

                  50

                  254

                  66

                  <0.001

                  Non-wide

                  96

                  50

                  128

                  46

                   

                  Chemotherapy

                       

                  No

                  156

                  81

                  207

                  57

                  0.669

                  Yes

                  37

                  19

                  180

                  51

                   

                  Radiotherapy

                       

                  No

                  132

                  68

                  216

                  58

                  0.190

                  Yes

                  61

                  32

                  152

                  52

                   

                  Abbreviations: MF/MFT, malignant fibroblastic/myofibroblastic tumors; MPNST, malignant peripheral nerve sheath tumor; STS, soft tissue sarcomas; NR, not reached; NOS, non specified.

                  Inter-observer variability

                  There was good scoring agreement between the two investigating pathologists. The IHC scores from each observer were compared using a two-way random effects model with absolute agreement definition. The intra-class correlation coefficients (reliability coefficients, r) obtained from these results were 0.94 for Skp2 (p < 0.001), 0.92 for ER (p < 0.001) and 0.96 for PGR (p < 0.001).

                  Univariate analyses

                  Nationality, histology, tumor size, malignancy grade and surgical margins were all significant indicators for disease-specific survival (DSS) in univariate analyses (Table 1). Table 2 shows the percentage of high expression of ER, PGR and Skp2 in the different histological subtypes. Chi-square test showed no differences in overall expression of ER, PGR and Skp2 with respect to the different histological subtypes.
                  Table 2

                  Percentage of high expression of ER, PGR and Skp2 in the different histological subtypes N = 193

                  Histology

                  N

                  ER (%)*

                  PGR (%)**

                  Skp2 (%)***

                  Pleomorphic sarcoma

                  57

                  40

                  26

                  37

                  Leiomyosarcoma

                  47

                  50

                  43

                  40

                  Liposarcoma

                  32

                  35

                  23

                  21

                  MF/MFT

                  16

                  27

                  29

                  36

                  Angiosarcoma

                  8

                  25

                  13

                  29

                  Rhabdomyosarcoma

                  9

                  50

                  56

                  67

                  MPNST

                  9

                  11

                  11

                  44

                  Synovial sarcoma

                  12

                  40

                  27

                  50

                  Other STS

                  3

                  67

                  33

                  67

                  Total

                  193

                  39

                  30

                  38

                  * Chi 8.516, p = 0.385.

                  ** Chi 10.238, p = 0.249.

                  *** Chi 8.596, p = 0.377.

                  Abbreviations: MF/MFT, malignant fibroblastic/myofibroblastic tumors; MPNST, malignant peripheral nerve sheath tumor.

                  Chi-square test showed no differences in percentage of high expression of ER, PGR and Skp2 in the different histological subtypes.

                  In univariate analyses, increased expression of Skp2 (p = 0.050) correlated significantly with reduced DSS, (Table 3 and Figure 2). No such relationship was apparent for ER and PGR when males and females were combined in one group.
                  http://static-content.springer.com/image/art%3A10.1186%2F1472-6890-13-9/MediaObjects/12907_2012_127_Fig2_HTML.jpg
                  Figure 2

                  Survival plots ER and PGR. Disease-specific survival curves for high and low expression of ER and PGR in male (N = 81) and female (N = 112) patients with soft tissue sarcomas.

                  Table 3

                  Expression of markers, gender and their prediction for disease-specific survival in patients with soft tissue sarcomas (univariate analysis; log-rank test), All = 193, Males = 81, Females = 112

                  Marker expression

                  Patients (n)

                  Patients (%)

                  Median survival (months)

                  5-year survival (%)

                  P

                  Skp2, all

                       

                  Low

                  109

                  56

                  NR

                  63

                  0.050

                  High

                  67

                  45

                  59

                  50

                   

                  Missing

                  17

                  9

                     

                  Skp2, men

                       

                  Low

                  50

                  62

                  NR

                  63

                  0.577

                  High

                  23

                  28

                  67

                  61

                   

                  Missing

                  8

                  10

                     

                  Skp2, women

                       

                  Low

                  59

                  53

                  NR

                  63

                  0.066

                  High

                  44

                  39

                  49

                  44

                   

                  Missing

                  9

                  8

                     

                  ER, all

                       

                  Low

                  112

                  58

                  123

                  57

                  0.725

                  High

                  72

                  67

                  91

                  57

                   

                  Missing

                  9

                  5

                     

                  ER, men

                       

                  Low

                  49

                  60

                  NR

                  69

                  0.089

                  High

                  29

                  36

                  58

                  49

                   

                  Missing

                  3

                  4

                     

                  ER, women

                       

                  Low

                  63

                  56

                  57

                  47

                  0.041

                  High

                  43

                  38

                  NR

                  62

                   

                  Missing

                  6

                  5

                     

                  PGR, all

                       

                  Low

                  132

                  68

                  NR

                  62

                  0.101

                  High

                  57

                  30

                  52

                  46

                   

                  Missing

                  4

                  2

                     

                  PGR, men

                       

                  Low

                  64

                  79

                  NR

                  69

                  0.010

                  High

                  15

                  19

                  41

                  33

                   

                  Missing

                  2

                  2

                     

                  PGR, women

                       

                  Low

                  68

                  61

                  80

                  55

                  0.832

                  High

                  42

                  38

                  74

                  51

                   

                  Missing

                  2

                  2

                     

                  Abbreviations: NR, not reached.

                  In subgroup analyses (Tables 3 and 4), increased PGR expression in men (p = 0.010) and in patients older than 60 years (p = 0.043) was associated with a reduced DSS. Increased ER expression in women was associated with longer DSS (p = 0.041). High expression of ER were associated with favorable survival in patients with rhabdomyosarcoma (N = 9, p = 0.040). High expression of ER was associated with poor survival in patients with synovial sarcoma (N = 12, p = 0.010). There were no significant differences in survival according to high or low expression of Skp2 in any of the histological subtypes (data not shown).
                  Table 4

                  Expression of markers, age and their prediction for disease-specific survival in patients with soft tissue sarcomas (univariate analysis; log-rank test)

                  Marker expression

                  Patients (n)

                  Patients (%)

                  Median survival (months)

                  5-Year survival (%)

                  P

                  Skp2, <60 years, N = 99

                       

                  Low

                  52

                  53

                  NR

                  71

                  0.074

                  High

                  38

                  38

                  67

                  56

                   

                  Missing

                  9

                  9

                     

                  Skp2, ≥60 years, N = 94

                       

                  Low

                  57

                  61

                  80

                  57

                  0.188

                  High

                  29

                  31

                  36

                  42

                   

                  Missing

                  8

                  9

                     

                  ER, <60 years, N = 99

                       

                  Low

                  55

                  56

                  127

                  59

                  0.197

                  High

                  40

                  40

                  NR

                  67

                   

                  Missing

                  4

                  4

                     

                  ER, ≥60 years, N = 94

                       

                  Low

                  57

                  61

                  80

                  55

                  0.293

                  High

                  32

                  34

                  52

                  44

                   

                  Missing

                  5

                  5

                     

                  PGR, <60 years, N = 99

                       

                  Low

                  63

                  64

                  NR

                  67

                  0.488

                  High

                  34

                  34

                  NR

                  55

                   

                  Missing

                  2

                  2

                     

                  PGR, ≥60 years, N = 94

                       

                  Low

                  69

                  73

                  91

                  57

                  0.043

                  High

                  23

                  24

                  39

                  32

                   

                  Missing

                  2

                  2

                     

                  Abbreviations: NR, not reached.

                  In patients with low expression of ER (N = 112), men had better 5-year survival (69%) compared to women (47%, p = 0.002), while there were no differences (p = 0.376) between men and women in patients with high expression of ER (N = 72). In patients with low expression of PGR (N = 132), men had better 5-year survival (69%) compared to women (55%, p = 0.013), while there were no differences (p = 0.271) between men and women in patients with high expression of PGR (N = 57). There were no differences in survival between men and women in univariate analyses of patients with low (N = 109, p = 0.529) or high (N = 67, p = 0.233) expression of Skp2 (data not shown).

                  In co-expression analyses (Table 5) Skp2 negative / ER negative profile was associated with longer DSS (p = 0.049). In women a Skp2 positive and ER negative profile was associated with reduced DSS (p = 0.021), Table 5 and Figure 3. In men a double negative ER/PGR profile was associated with longer DSS (p = 0.013) while in women a double positive ER/PGR was associated with longer DSS (p = 0.001). In patients younger than 60 years the combination ER negative and PGR positive was associated with shorter DSS. In the whole cohort of patients a triple positive expression of ER, PGR and Skp2 was associated with longer DSS (p = 0.005), Figure 3. Triple negative expression of ER, PGR and Skp2 was also associated with longer DSS, but not statistically significant (p = 0.068), Figure 3. ER negative / PGR positive co-expression was associated with shorter DSS regardless of Skp2 expression, Table 6.
                  http://static-content.springer.com/image/art%3A10.1186%2F1472-6890-13-9/MediaObjects/12907_2012_127_Fig3_HTML.jpg
                  Figure 3

                  Survival plots co-expression. Disease-specific survival curves for co-expression of Skp2, ER or PGR in males (N = 81), females (N = 112) and co-expression of ER and PGR in Skp2 negative (N = 109) and Skp2 positive (N = 67) patients.

                  Table 5

                  Co-expression of Skp2/ER, Skp2/PGR and their prediction for disease-specific survival in patients with soft tissue sarcomas (univariate analysis; log-rank test), All = 193, Men = 81, Women = 112

                  Co-expression

                  Patients (n)

                  Patients (%)

                  Median survival (months)

                  5-Year survival (%)

                  P

                  Skp2 / ER, all

                       

                  Low/low

                  66

                  34

                  NR

                  67

                  0.049

                  Low/high

                  39

                  20

                  91

                  59

                   

                  High/low

                  35

                  18

                  57

                  44

                   

                  High/high

                  30

                  16

                  NR

                  58

                   

                  Missing

                  23

                  12

                     

                  Skp2 / ER, men

                       

                  Low/low

                  33

                  41

                  NR

                  72

                  0.427

                  Low/high

                  16

                  20

                  37

                  50

                   

                  High/low

                  11

                  14

                  NR

                  72

                   

                  High/high

                  11

                  14

                  63

                  58

                   

                  Missing

                  10

                  12

                     

                  Skp2 / ER, women

                       

                  Low/low

                  33

                  29

                  127

                  61

                  0.021

                  Low/high

                  23

                  21

                  91

                  65

                   

                  High/low

                  24

                  21

                  31

                  32

                   

                  High/high

                  19

                  17

                  NR

                  58

                   

                  Missing

                  13

                  12

                     

                  Skp2 / PGR, all

                       

                  Low/low

                  80

                  41

                  NR

                  71

                  0.056

                  Low/high

                  25

                  13

                  54

                  46

                   

                  High/low

                  40

                  21

                  59

                  49

                   

                  High/high

                  27

                  14

                  67

                  51

                   

                  Missing

                  21

                  11

                     

                  Skp2 / PGR, men

                       

                  Low/low

                  41

                  51

                  NR

                  73

                  0.141

                  Low/high

                  7

                  9

                  26

                  29

                   

                  High/low

                  18

                  22

                  NR

                  61

                   

                  High/high

                  5

                  6

                  67

                  60

                   

                  Missing

                  10

                  12

                     

                  Skp2 / PGR, women

                       

                  Low/low

                  39

                  35

                  NR

                  68

                  0.234

                  Low/high

                  18

                  16

                  75

                  54

                   

                  High/low

                  22

                  20

                  29

                  39

                   

                  High/high

                  22

                  20

                  57

                  49

                   

                  Missing

                  11

                  10

                     

                  Abbreviations: NR, not reached.

                  Table 6

                  Co-expression of ER/PGR and their prediction for disease-specific survival in patients with soft tissue sarcomas (univariate analysis; log-rank test)

                  Co-expression

                  Patients (n)

                  Patients (%)

                  Median survival (months)

                  5-year survival (%)

                  P

                  ER / PGR, all, N = 193

                       

                  Low/low

                  84

                  44

                  NR

                  69

                  <0.001

                  Low/high

                  26

                  13

                  38

                  24

                   

                  High/low

                  41

                  21

                  62

                  52

                   

                  High/high

                  31

                  16

                  NR

                  64

                   

                  Missing

                  11

                  6

                     

                  ER / PGR, men, N = 81

                       

                  Low/low

                  39

                  48

                  NR

                  79

                  0.013

                  Low/high

                  9

                  11

                  41

                  33

                   

                  High/low

                  23

                  28

                  63

                  53

                   

                  High/high

                  6

                  7

                  37

                  33

                   

                  Missing

                  4

                  5

                     

                  ER / PGR, women, N = 121

                       

                  Low/low

                  45

                  40

                  89

                  59

                  0.001

                  Low/high

                  17

                  15

                  31

                  19

                   

                  High/low

                  18

                  16

                  29

                  50

                   

                  High/high

                  25

                  22

                  NR

                  72

                   

                  Missing

                  7

                  6

                     

                  ER / PGR, <60 years, N = 99

                       

                  Low/low

                  41

                  41

                  NR

                  72

                  0.001

                  Low/high

                  13

                  13

                  31

                  23

                   

                  High/low

                  19

                  19

                  NR

                  58

                   

                  High/high

                  21

                  21

                  NR

                  76

                   

                  Missing

                  5

                  5

                     

                  ER / PGR, ≥60 years, N = 94

                       

                  Low/low

                  43

                  46

                  NR

                  64

                  0.052

                  Low/high

                  13

                  14

                  39

                  26

                   

                  High/low

                  22

                  23

                  58

                  47

                   

                  High/high

                  10

                  11

                  37

                  40

                   

                  Missing

                  6

                  6

                     

                  ER / PGR, Skp2 low, N = 109

                       

                  Low/low

                  55

                  50

                  NR

                  76

                  0.068

                  Low/high

                  9

                  8

                  68

                  25

                   

                  High/low

                  23

                  21

                  91

                  61

                   

                  High/high

                  16

                  15

                  75

                  56

                   

                  Missing

                  6

                  6

                     

                  ER / PGR, Skp2 high, N = 67

                       

                  Low/low

                  21

                  31

                  89

                  55

                  0.005

                  Low/high

                  14

                  21

                  31

                  29

                   

                  High/low

                  17

                  25

                  29

                  42

                   

                  High/high

                  13

                  19

                  NR

                  77

                   

                  Missing

                  2

                  3

                     

                  Abbreviations: NR, not reached.

                  Taking into consideration the possible distortion of results by gender-related sarcomas (i.e. leiomyosarcoma in uterus) we have attempted to exclude these sarcomas and recalculate all analyses. There were no significant differences in the results compared to those obtained without exclusion of gender-related sarcomas (data not shown).

                  Multivariate analyses

                  Significant demographic, clinicopathological and expression variables from the univariate analyses were entered into the multivariate Cox regression analysis (Table 7). In the multivariate analyses, age (p = 0.012), malignancy grade (p < 0.001), wide resection margins (p = 0.010), ER negative / PGR positive co-expression (p = 0.002) and ER positive / PGR negative co-expression (p = 0.015) were independent negative prognostic factors for DSS. In women, expression of Skp2 (p = 0.006) was associated with reduced DSS. In women, tumor size (p = 0.020) and nationality (p = 0.014) were independent prognostic factors for DSS, Table 7. In multivariate analyses co-expression of Skp2/ER or Skp2/PGR were not stronger prognosticators for DSS than single expression of Skp2, ER and PGR (data not shown).
                  Table 7

                  Results of Cox regression analysis summarizing prognostic factors in patients with soft tissue sarcomas

                   

                  All patients, N = 193

                  Men, N = 81

                  Women, N = 112

                  Factor

                  Hazard ratio

                  95% CI

                  P

                  Hazard ratio

                  95% CI

                  P

                  Hazard ratio

                  95% CI

                  P

                  Age

                           

                  0–59 years

                  1.00

                    

                  1.00

                    

                  1.00

                    

                  ≥60 years

                  1.84

                  1.15-2.95

                  0.012

                  1.69

                  0.65-4.41

                  0.282

                  1.51

                  0.83-2.77

                  0.179

                  Nationality

                           

                  Norwegian

                  1.00

                    

                  1.00

                    

                  1.00

                    

                  Russian

                  1.49

                  0.88-2.52

                  0.143

                  1.39

                  0.41-4.66

                  0.598

                  2.51

                  1.20-5.21

                  0.014

                  Tumor size

                           

                  <5 cm

                  1.00

                   

                  0.138*

                  1.00

                   

                  0.668*

                  1.00

                   

                  0.020*

                  5–9 cm

                  1.47

                  0.79-2.73

                  0.226

                  1.68

                  0.54-5.25

                  0.372

                  1.71

                  0.77-3.77

                  0.187

                  ≥10 cm

                  1.91

                  1.01-3.60

                  0.047

                  1.32

                  0.40-4.39

                  0.652

                  3.14

                  1.38-7.15

                  0.006

                  Malignancy grade FNCLCC

                           

                  1

                  1.00

                   

                  <0.001*

                  1.00

                   

                  <0.001

                  1.00

                   

                  0.004*

                  2

                  2.72

                  1.36-5.46

                  0.005

                  3.07

                  0.86-10.96

                  0.084

                  4.33

                  1.76-10.67

                  0.001

                  3

                  4.61

                  2.26-9.40

                  <0.001

                  15.47

                  4.36-54.97

                  <0.001

                  4.23

                  1.64-10.89

                  0.003

                  Resection margins

                           

                  Wide

                  1.00

                    

                  1.00

                    

                  1.00

                    

                  Non-wide

                  1.87

                  1.16-3.02

                  0.010

                  7.69

                  2.67-22.16

                  <0.001

                  0.81

                  0.42-1.54

                  0.512

                  Skp2

                           

                  Low

                  1.00

                    

                  1.00

                    

                  1.00

                    

                  High

                  1.48

                  0.87-2.52

                  0.151

                  0.46

                  0.19-1.12

                  0.088

                  2.52

                  1.31-4.85

                  0.006

                  ER / PGR

                           

                  Low/low

                  1.00

                   

                  0.006*

                  1.00

                   

                  0.004*

                  1.00

                   

                  0.216*

                  Low/high

                  2.64

                  1.43-4.85

                  0.002

                  4.99

                  1.31-18.97

                  0.018

                  1.91

                  0.89-4.11

                  0.097

                  High/low

                  2.07

                  1.15-3.73

                  0.015

                  8.35

                  2.55-27.36

                  <0.001

                  1.76

                  0.79-3.93

                  0.170

                  High/high

                  1.16

                  0.57-2.38

                  0.682

                  4.50

                  0.96-21.13

                  0.056

                  0.92

                  0.36-2.35

                  0.868

                  * Overall significance as a prognostic factor. The difference between the individual p-value and total p-value in the multivariate analysis is relevant in cases where there are more than two categories for a given variable. Overall p-value is calculated based on a general assessment of all categories for the given variable, but the individual p-value only calculates the significance of a given category versus the reference category.

                  Discussion

                  In this large-scale study, we evaluated the prognostic significance of expression of Skp2 related to age, gender, ER and PGR in 193 STS patients. Our hypothesis was confirmed. We found diverse prognostic DSS impacts from gender related expression of Skp2, ER, PGR and DSS in STS. In men, but not women, an ER positive/PGR negative co-expression profile was an independent negative prognostic factor for DSS. In women, but not men, high expression of Skp2 was associated with reduced DSS. High expression of ER reduced the negative impact of Skp2 in women. While women with the Skp2 positive / ER positive phenotype had favorable survival, women with the Skp2 positive / ER negative phenotype had poor survival. To the best of our knowledge, this is the first prognostic evaluation of Skp2 related to the female hormone receptors ER and PGR in STS.

                  Expression of ER and PGR is a routinely investigated indicator of endocrine therapy success in breast cancer [12, 13] and a modest, but significantly better overall survival of anti-estrogen receptor therapy has been documented [14]. ER and PGR are also reported to be positive prognosticators of uterine leiomyosarcomas [15]. However, extra-uterine sarcomas have barely been explored in this context. The distribution and prognostic value of expression of these steroid hormone receptors in STS are therefore of great scientific interest. In our study, in the univariate analyses, ER showed a significantly favorable influence on survival in female patients, but not in males. PGR was an unfavorable prognosticator for men, but not for women. In multivariate analysis ER positive / PGR negative co-expression is an independent negative prognostic factor for DSS in males, but not in females.

                  We have modified the Allred score for STS and used 1% positivity as cut-off value [7, 16]. The strong and moderate (score 3 and 2, respectively) hormone receptor expression occurred mostly in sarcomas of uterus, pelvis and breast, while the weak (score 1) expression of both ER and PGR was surprisingly evenly distributed among location, gender and age. Generally, 39% of the tumors expressed ER and 30% expressed PGR in our material. Roughly half of the patients expressed at least one of these receptors. The findings are in partial agreement with findings of Chaudhuri et al. [17] who found ER to be positive in 24% of STS.

                  Huang et al. suggested that the therapeutic strategies designed to reduce Skp2 may play an important clinical role in treatment of breast cancer cells, especially ER/HER2 negative breast cancers [18]. Voduc et al. found cyclin E and Skp2 to be prognostic for breast cancer-specific survival in univariate analyses. Double positive expression of cyclin E / Skp2 was associated with young age at diagnosis, grade 3 tumors, ER-negative status and HER2 negative status [19]. Zheng et al. found that higher levels of Skp2 were detected more frequently in ER-negative breast cancer tumors and tumors metastatic to the axillary lymph nodes [20]. Signoretti et al. also found that higher levels of Skp2 are present more frequently in ER-negative tumors than in ER-positive cases. The subset of Skp2 positive / ER negative breast carcinomas were also characterized by high tumor grade and HER2 negative [21]. In our material, the five year DSS in Skp2 positive / ER negative women with STS was 32% compared to 58% in Skp2 positive / ER positive women (P = 0.021).

                  In our previous work we have shown that ER and PGR expression possess variable prognostic significance depending on gender, both per se and in co-expression with TGF-β, fascin and Akt isoforms [79]. In the present study, the prognostic diversity of Skp2, ER and PGR in men and women was seen in the different co-expression profiles: female patients with Skp2 positive / ER negative profile had decreased survival rates. For men, the Skp2 negative / ER negative profile was the most favorable phenotype. PGR expression in men, but not women, was associated with a shorter DSS. ER expression in women, but not men, was associated with a longer DSS. The ER negative / PGR positive profile was a significantly unfavorable factor for the whole patient cohort both in univariate and multivariate analysis. Interestingly, such a profile occurred in only 2% of patients in one large-scale study based on 3000 breast cancer cases [22], while in our STS study this profile was seen in 13% of tumors.

                  The data collection introduced problems in identifying adequate numbers of similar patients with similar tumors and with the same treatment traditions. These are well known problems when conducting STS studies. Our findings are in large hypothesis generating, and to be more conclusive future STS studies must be based on large, multi-institutional and multinational studies with possibilities to establish adequately sized STS patient cohorts of homogenous tumor groups. However, all tumors investigated herein had mesenchymal derivation and belong to the same generic group.

                  Conclusions

                  In conclusion, there were different prognostic impacts of expression of Skp2, ER, PGR and DSS in male and female patients with STS. In men, but not in women, ER positive / PGR negative co-expression was an independent negative prognostic factor for DSS. In women, but not in men, expression of Skp2 was associated with reduced DSS.

                  Declarations

                  Acknowledgments

                  This study was funded by the Helse Nord, The Norwegian Childhood Cancer Network, The Norwegian Sarcoma Group and The Norwegian Cancer Society. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We are grateful to Frode Skjold for establishing functional connections between the databases and Magnus L. Persson for making the TMA blocks.

                  Authors’ Affiliations

                  (1)
                  Department of Clinical Pathology, University Hospital of North Norway
                  (2)
                  Institute of Medical Biology, University of Tromso
                  (3)
                  Department of Oncology, University Hospital of North Norway
                  (4)
                  Institute of Clinical Medicine, University of Tromso
                  (5)
                  Department of Pathology, Nordland Central Hospital

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                  23. Pre-publication history

                    1. The pre-publication history for this paper can be accessed here:http://​www.​biomedcentral.​com/​1472-6890/​13/​9/​prepub

                  Copyright

                  © Sorbye et al.; licensee BioMed Central Ltd. 2013

                  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.