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Neuro-Oncology logoLink to Neuro-Oncology
. 2009 Oct;11(5):514–528. doi: 10.1215/15228517-2008-127

Identification of p53 as a strong predictor of survival for patients with malignant peripheral nerve sheath tumors

Helge R Brekke 1, Matthias Kolberg 1, Rolf I Skotheim 1, Kirsten S Hall 1, Bodil Bjerkehagen 1, Björn Risberg 1, Henryk A Domanski 1, Nils Mandahl 1, Knut Liestøl 1, Sigbjørn Smeland 1, Håvard E Danielsen 1, Fredrik Mertens 1, Ragnhild A Lothe 1,
PMCID: PMC2765341  PMID: 19182148

Abstract

The purpose of this study was to identify new prognostic biomarkers with clinical impact in malignant peripheral nerve sheath tumor (MPNST), a highly aggressive malignancy for which no consensus therapy exists besides surgery. We have used tissue microarrays (TMAs) to assess in situ expression of 14 cell-cycle–regulating proteins in 64 well-characterized MPNST patients: 36 sporadic and 28 with neurofibromatosis type 1 (NF1). We developed a new software application for evaluation and logistics of the TMA images and performed a literature survey of cell cycle proteins in MPNST. For NF1-associated patients, there was a clear association between nuclear expression of p53 and poor survival (p = 0.004). Among the other proteins analyzed, we also found significant associations between survival and clinical variables, but none were as strong as that for p53. For the total series of MPNSTs, p53 was shown to be an independent predictor of survival, and patients without remission, with tumor size larger than 8 cm, and with positive p53 expression had a 60 times greater risk of dying within the first 5 years compared with the remaining patients (p = 0.000002). This is the most comprehensive study of in situ protein expression in MPNST so far, and expressed p53 was found to be a strong surrogate marker for outcome. Patients in complete remission with a primary p53-positive MPNST diagnosis may be considered in a high-risk subgroup and candidates for adjuvant treatment.

Keywords: cyclin D1, MPNST, neurofibroma, NF1, p53


Malignant peripheral nerve sheath tumor (MPNST) is a rare tumor type with an incidence of 0.001% in the general population.1,2 For individuals with neurofibromatosis type 1 (NF1), which is caused by a germline mutation of the NF1 gene, the lifetime risk for obtaining MPNST is 6%–13%.3,4 The 5-year survival rate for this group of MPNST patients has been reported to be only half the survival rate for the sporadic MPNST cases.1,3,58 It is still unclear whether this is due to a difference in the molecular phenotype between sporadic and NF1-associated MPNST. Thus, there is a need for informative prognostic and predictive markers for this malignancy.

In general, MPNSTs display a complex and highly variable karyotype, but some recurrent genetic aberrations have been reported.9,10 Loss of proximal regions of chromosome arm 17q, which includes the NF1 gene, is found in most MPNSTs, as well as in plexiform neurofibromas, which are considered precursor lesions to MPNST in NF1-associated patients.1115 Mutations of the NF1 gene are found in both NF1-associated and sporadic MPNSTs.16 We have previously reported copy number gain in the distal part of 17q, which harbors antiapoptotic and proliferative genes such as BIRC5 and TOP2A.12,1719 Another frequently observed chromosomal aberration is deletion of 9p21, reflecting loss or large rearrangements of the cyclin-dependent kinase (CDK) inhibitor 2A gene (CDKN2A).2023 This gene encodes the two nonhomologous isoforms, p14ARF and p16INK4a, both with important effects on cell cycle progression (Fig. 1).

Fig. 1.

Fig. 1

Schematic overview of the cell cycle components investigated in this study. The percentages of malignant peripheral nerve sheath tumors with positive expression are indicated for each protein. Oncogenic proteins are shown in green and tumor suppressor proteins in red.

Previous studies have addressed the possibility of using protein expression levels of some of the central cell cycle components as prognostic markers in MPNST,2430 but little is known about how and to what extent these proteins contribute to the development of NF1-associated and sporadic MPNST. The clinical impact of different levels of protein expression remains mostly unknown. One reason for the limited knowledge is the low incidence rate of MPNST, making it difficult to obtain sufficiently large cohorts for proper evaluation of prognostic factors. Furthermore, the number of proteins analyzed has been limited, and larger numbers of proteins should be included in a single study to provide a more comprehensive picture of the complex regulation of the cell cycle. Finally, since there is no consensus treatment for MPNST, some patients have received radio- or chemotherapy prior to tumor resection, which complicates the interpretation of the impact of clinical and biomolecular features. In this study, we have used an immunohistochemical approach to analyze the expression of 14 cell-cycle–related proteins in a tissue microarray (TMA) that contains a joint series of Norwegian and Swedish MPNSTs (n = 64) for which long-term clinical follow-up data were available. A new software application was developed for visualization, scoring, and storage of the scanned TMA images.

Materials and Methods

Patients

MPNSTs from 64 patients (31 women and 33 men) were included in this study. The samples were collected at tumor orthopedic centers at Lund University Hospital (Lund, Sweden) and the Norwegian Radium Hospital (Oslo, Norway) during 1980–2002. Twenty-eight of these patients had NF1, and 36 were sporadic cases. The median age at diagnosis for these two groups was 24 and 54 years, respectively. Histopathologic classification and grading were reviewed by sarcoma reference pathologists following published guidelines.10,31,32 The tumors of nine patients were low grade and those of 52 were high grade; the tumor grade was unknown in the remaining three cases. At latest follow-up, 39 patients had died after 1–225 months (median 19), 23 were alive 7–369 months (median 122) after diagnosis, and two patients were lost to follow-up. The clinical data are summarized in Table 1.

Table 1.

Clinical data for patients with malignant peripheral nerve sheath tumor (n = 64)

Patient ID Sex Age at Diagnosis Neurofibromatosis Disease Grade Statusa Follow-up (Months) Tumor Size (cm)
001 F 20 Sporadic High DFD 40 4
002 F 20 Sporadic High ANED 112 2
003 M 23 NF1 High DFD 27 6
004 F 35 Sporadic High DFD 5 NA
005 M 62 Sporadic High ANED 142 3
006 M 45 Sporadic High DFD 43 8
007 M 30 NF1 High ANED 203 7
008 F 15 NF1 High DFD 7 10
009 M 28 Sporadic High DFD 67 NA
010 M 41 NF1 High DFD 9 10
011 F 17 NF1 High DFD 17 6
012 F 23 NF1 High DFD 1 NA
013 M 26 NF1 Low DFD 78 4
014 F 77 Sporadic High DNED 133 10
015 F 85 Sporadic High DFD 1 30
016 M 26 Sporadic NA ANED 122 2
017 F 80 Sporadic Low DNED 130 6
018 M 46 NF1 High DFD 2 40
019 F 70 Sporadic Low DFD 42 16
020 F 19 NF1 Low AWD 182 11
021 F 18 NF1 High DFD 15 7
022 M 21 Sporadic High DFD 6 8
023 M 64 Sporadic Low ANED 116 20
024 M 41 NF1 High ANED 122 6
025 M 74 Sporadic NA DNED 51 8
026 M 22 Sporadic High DFD 20 14
027 F 63 NF1 High DNED 225 4
028 F 56 Sporadic High DFD 32 13
029 M 33 NF1 High DFD 15 8
032 F 77 Sporadic High DFD 12 20
034 M 15 NF1 Low ANED 138 8
035 M 42 Sporadic High DFD 12 7
036 F 20 Sporadic High ANED 115 5
037 F 34 NF1 High DFD 16 15
038 F 71 NF1 High DNED 100 10
039 M 50 Sporadic High DFD 47 3
040 F 50 Sporadic Low ANED 122 4
041 F 33 NF1 High ANED 98 18
042 M 68 Sporadic High DFD 5 10
043 M 14 NF1 High AWD 105 10
044 M 17 NF1 High DFD 5 12
045 M 21 NF1 High ANED 60 2
046 M 45 NF1 NA ANED 125 6
047 F 25 NF1 High ANED 49 9
048 F 35 NF1 High DFD 12 25
049 M 27 Sporadic High ANED 46 7
050 M 30 Sporadic High ANED 133 13
051 F 73 Sporadic High DFD 8 6
052 F 37 Sporadic High DFD 81 7
053 F 15 NF1 High DFD 19 12
054 M 62 Sporadic High NA NA 10
055 F 63 Sporadic High DFD 46 8
056 M 24 NF1 High ANED 185 16
057 F 24 NF1 High DFD 32 10
058 F 26 NF1 High NA NA 11
060 M 20 NF1 High ANED 369 6
061 F 59 Sporadic High ANED 142 4
103 F 60 Sporadic High DFD 14 12
104 M 83 Sporadic High AWD 7 13
105 M 13 Sporadic High ANED 102 5
109 F 15 Sporadic Low ANED 60 4
115 M 54 Sporadic High DFD 19 16
117 M 79 Sporadic High DNED 6 8
119 M 54 Sporadic Low DNED 65 10

Abbreviation: NA, not available.

a

Status at last follow-up: DFD, dead from disease; ANED, alive, no evidence of disease; DNED, dead; no evidence of disease; AWD, alive with disease.

The study was approved by the regional ethics committee for medical research of the South-Eastern Norway Regional Health Authority and by local ethics committees at Lund University.

Tissue Microarray

The basic TMA technology was originally described in 1998.33 The TMA block was initially constructed by transferring 79 cylindrical tissue cores (0.6 mm diameter) from formalin-fixed and paraffin-embedded tumor samples into a recipient paraffin block.18 Later, 27 cores were added to the same TMA that we present here, including one core from each of two benign neurofibromas, as well as two cores from a single plexiform neurofibroma. The TMA block also contained 30 cores from normal tissues and other cancer types that were used as staining controls. At least one core from each of the 64 MPNSTs was included in the TMA, and for 21 tumors, two to five parallel cores were included. For the in situ protein expression analyses, 5-μm-thick sections of the TMA block were adhered onto Superfrost Plus microscope slides (Menzel GmbH & Co. KG, Braunschweig, Germany).

In Situ Protein Expression Analyses

In situ protein expression was probed by incubating the TMA slides with selected primary antibodies listed in Supplementary Table 1. Sections of the TMA block were deparaffinized in xylene (Merck, Whitehouse Station, NJ, USA) and by rinsing twice in 100% ethanol, followed by 96% and 70%, and then in water. Antigen retrieval was performed by heating in a microwave oven at 850 W for 5 min and then 100 W for 15 min, and then immersion in one of the following buffers: 10 mM sodium citrate (pH 6.0), 1 mM EDTA (pH 8.0), or 10 mM Tris, 1 mM EDTA (pH 9.0), depending on the primary antibody used (see Supplementary Table 1). The buffers also contained 0.05% Tween 20 (all reagents were from Sigma-Aldrich, St. Louis, MO, USA). Staining was performed according to the protocol for DAKO EnVision+ using the reagents supplied with the K5007 kit (Dako, Glostrup, Denmark). Briefly, this included blocking of endogenous peroxidase activity for 5 min before incubation with the primary antibody of choice for 30 min at room temperature. A negative control experiment was provided by omitting the primary antibody for one slide. Then, the secondary antibody, conjugated with horseradish-peroxidase–labeled polymer, was applied and incubated for 30 min. Staining was completed by incubation for 5 min with 3,3′-diaminobenzidine (DAB), which results in a brown precipitate at the antigen site. Excess DAB was rinsed off before the slides were counterstained with hematoxylin and dehydrated in increasing concentrations of ethanol and xylene. Finally, glass cover slips were mounted with Depex glue (Chemiteknikk, Oslo, Norway).

The TMA sections were scanned at ×400 magnification into digital high-resolution images using the Nano-Zoomer Digital Pathology (Hamamatsu Photonics K.K., Hamamatsu, Japan).

TMA Software

A new software application, TMA-ImageAnalyzer, was developed for processing the scanned TMA slides and as infrastructure for the images and scoring results from the individual tissue cores and antibodies. A representation of the graphical user interface of the software is shown in Fig. 2. The software was a beta release of a product developed in the Department of Medical Informatics, Rikshospitalet University Hospital, Oslo, Norway. A commercial version will be made available through Room4 Group Ltd. (East Sussex, UK).

Fig. 2.

Fig. 2

Illustration of the graphical user interface of the TMA-ImageAnalyzer software. The proteins investigated are listed on the left. The five columns on the left show the staining results in different malignant peripheral nerve sheath tumors according to the scoring category to which they have been assigned, while the right column shows control tissue; the number of samples in each category is shown at the top.

Scoring of Immunohistochemistry Results

The expression of the 14 cell-cycle–related proteins was scored independently by two researchers by visual inspection of the immunohistochemical staining of the TMAs. For nuclear protein expression, we categorized the samples into five groups according to the percentage of nuclei with positive staining: 0%, 1%–5%, 6%–10%, 11%–50%, and >51%. For the statistical analyses, we grouped the samples with staining less than 5% as negative and more than 5% as positive. For cytoplasmic protein expression, moderate and strong staining was considered positive. If a number of samples were taken from one tumor, the scoring was considered positive if at least one of these samples was stained positively on the microarray. The interobserver variability was 13% on average. Before reevaluation of these cases, a pathologist was consulted to establish the boundaries between positive and negative samples.

Western Blot Analyses for Quality Control of Antibodies

Western blot analyses34 of the antibodies were performed as a quality control to confirm that they bind to proteins with the anticipated molecular masses. This was done using 12 cell line extracts as protein sources, as previously described.23

Statistical Analyses

The statistical significance of the differences in protein expression observed between groups of patients was calculated using Fisher’s exact test. The bivariate correlation for coexpression of proteins was described using the Spearman correlation coefficient. Disease-specific and disease-free survival curves were analyzed using the Kaplan-Meier method, and the Breslow test was used to compare the equality of the survival functions. Finally, we used Cox regression for multivariate analyses to determine the parameters with the greatest impact on the survival. All statistical analyses were performed using SPSS software, version 15.0 (SPSS Inc., Chicago, IL, USA). For our hypothesis testing, we report p-values lower than 0.05, but the true significance of these findings should be viewed in light of the number of tests performed in each analysis. For the 14 proteins, the Bonferroni corrected significance level should be 0.0036.

Results

In Situ Expression of Cell Cycle Proteins in MPNST

The scoring results from the in situ protein expression analysis of the MPNSTs are illustrated in Fig. 3. The detailed results for nuclear and cytoplasmic staining for each antibody are shown in Table 2, and our staining remarks are presented in Supplementary Table 1. Results for each patient group (with and without NF1) are shown in detail in Table 3. The largest difference between NF1-associated and sporadic MPNSTs was found for staining of nuclear p27Kip1 (n-p27Kip1) and cytoplasmic p27Kip1 (c-p27Kip1) (p = 0.03).

Fig. 3.

Fig. 3

Examples of immunohistochemical staining in malignant peripheral nerve sheath tumors using antibodies against four proteins: p53, CDK4, cyclin D1, and p14ARF. For each protein, a negative sample, nuclear expression, cytoplasmic expression, and positive control tissue are shown (from left to right). The positive tissues (right column) are colorectal cancer (top right) and malignant melanoma (all others). *For CDK4, there is positive cytoplasmic staining in the sample with negative nuclei.

Table 2.

Numbers of cases with different expression levels of cell cycle proteins in malignant peripheral nerve sheath tumor

Negative
Positive
Antigen 0% 1%–5% 6%–10% 11%–50% 51%–100% Positive Expression (%)
Nuclear expression
p14ARF 1 5 18 22 16 90
p16INK4a 30 8 4 13 7 39
p18INK4c 21 11 13 6 0 37
p21Cip1 54 1 5 1 1 11
p27Kip1 40 9 7 4 1 20
p53 7 12 19 19 4 69
MDM2 0 4 18 29 10 93
Cyclin D1 26 18 10 8 0 29
Cyclin D3 41 6 6 5 4 24
Cyclin E1 0 4 6 16 35 93
CDK2 40 1 18 1 0 32
CDK4 0 3 7 33 17 95
Ki67 13 11 12 17 9 61
RB1 3 3 6 24 25 90

Antigen Negative Moderate Strong Positive Expression (%)

Cytoplasmic expression
p14ARF 8 31 23 87
p18INK4c 15 27 5 68
p27Kip1 56 6 0 10
p53 10 23 28 84
MDM2 8 31 22 87
Cyclin D1 52 11 0 17
Cyclin E1 1 23 38 98
CDK4 13 28 19 78

Table 3.

Frequencies of positive in situ expression of cell-cycle–related proteins in NF1-associated malignant peripheral nerve sheath tumor (MPNSTs), sporadic MPNSTs, and benign neurofibromas

Antigen NF1 (%) (n = 28) Sporadic (%) (n = 34) p-Value Neurofibroma (n=3)
Nuclear expression
RB1 96 85 NS 3/3
CDK4 93 97 NS 3/3
Cyclin E1 92 94 NS 2/3
p53 63 74 NS 2/3
Ki67 50 71 0.12 0/3
CDK2 29 34 NS 1/3
p14ARF 26 30 NS 3/3
p16INK4A 25 50 0.07 1/3
Cyclin D1 21 35 NS 1/3
Cyclin D3 18 29 NS 0/3
p18INK4c 9 10 NS 0/3
p27Kip1 7 29 0.05* 0/3
p21Cip1 7 15 NS 0/3
MDM2 96 91 NS 3/3
Cytoplasmic expression
Cyclin E1 96 100 NS 2/3
p14ARF 89 85 NS 1/3
p53 85 82 NS 2/3
p18INK4c 65 71 NS 3/3
p27Kip1 0 18 0.03* 1/3
CDK4 78 79 NS 2/3
MDM2 15 38 0.05* 2/3
Cyclin D1 14 20 NS 0/3

Abbreviation: NS, not significant.

p-Values for the comparisons between NF1-associated and sporadic MPNST patients are calculated using Fisher’s exact test.

*

Statistically significant.

The Western blot quality controls for each antibody confirmed binding to protein bands of the expected size in at least one of the cell lines. For a few antibodies, we also observed additional bands that we have not analyzed further (Table 4). We expected to see a variety of protein isoforms in different cancer tissues depending on posttranslational modifications, alternative splicing events, partial degradation, and variable degrees of oligomerization, and in the following immunohistochemical analyses, we have assumed that all antibodies are specific for one protein.

Table 4.

Estimated molecular mass of the major bands observed on Western blots of protein extracts from 12 cell lines

Cell Line
Antigen LOVO (Colon)a HTC116 (Colon) HT-29 (Colon) SW480 (Colon) Tera-2 (Testis) NTERA-2 (Breast) 2102Ep (Testis) Melanoma (Skin) HT-1080 (Connective Tissue) PC-3 (Prostate) DU 145 (Prostate) MCF7 (Breast)
p14ARF 36 36 36 14 14
p16INK4A 29, 70 29, 70 29, 70 29, 70 16, 29, 70 29, 70 16, 29, 70 29, 70 29, 70 29, 70 16, 29, 70 29, 70
p18INK4c 27, 60 27, 60 27, 60 27, 60 27, 60 27, 60 27, 60 27, 60 27, 60 18, 27, 60 27, 60 27, 60
p21Cip1 21 21 21 21 17 21
p27Kip1 27, 24, 21 27, 24, 21 27, 24, 21 27 27 27 27 27 27 27 27 27
p53 53 53 53 53 53 53 53, 44 53, 44 53, 44
MDM2b ND ND ND ND ND ND ND ND ND ND ND ND
Cyclin D1 33 33 33 33 33 33 33 33 33
Cyclin D3 33 33 33 33 33 33 33 33 33
Cyclin E1 47 47, 70, 40 40 47 47 47 47, 40 47 47, 40, 70 47 47
CDK2 34, 32 34, 32 34, 32 34, 32 34, 32 34, 32 34, 32 34, 32 34, 32 34, 32 34, 32 34, 32
CDK4 34, 25, 24 34, 45, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24 34, 25, 24
Ki67 170 230, 200, 170 345, 20 345, 20 230, 17 230, 200, 170 395, 345, 200 395, 345, 230, 200, 170
RB1 65 106, 65, 63 65 106, 65 106, 63 106, 65 65 106, 65 106, 65 106, 65 106

Abbreviation: ND, not done.

a

Original source of cancer cell line.

b

For MDM2 we found two bands of 76 and 90 kDa in a set of malignant peripheral nerve sheath tumors (results not shown).

Correlations among Proteins

We calculated the bivariate correlation for all the in situ expression results and found that c-CDK4 and c-p14ARF had the highest Spearman correlation factor (r = 0.56, p = 0.00002). Among the sporadic MPNST samples, n-p21Cip1 and n-cyclin D1 correlated best (r = 0.61, p = 0.0001), and for the NF1-associated samples, n-MDM2 and n-p14ARF had the highest correlation (r = 0.69, p = 0.00006). All significant correlations are presented in Table 5.

Table 5.

Bivariate correlation among the analyzed proteins

Patient group Antigen 1 Antigen 2 r-Value p-Value
NF1 and sporadic c-p53 c-CDK4 0.52 0.00002
NF1 and sporadic c-p53 c-p14ARF 0.54 0.00001
NF1 and sporadic c-CDK4 c-p14ARF 0.56 0.000002
NF1 and sporadic n-Cyclin D3 n-p21Cip1 0.51 0.00002
NF1 and sporadic n-Cyclin D1 n-p16INK4A 0.44 0.0003
NF1 and sporadic n-p53 c-MDM2 0.34 0.008
Sporadic n-p21Cip1 n-Cyclin D1 0.61 0.0001
Sporadic n-Cyclin D3 c-Cyclin D1 0.61 0.0006
Sporadic c-p18INK4c c-Cyclin D3 0.50 0.009
Sporadic c-Cyclin D1 c-MDM2 0.50 0.003
NF1 n-p18INK4c n-Ki67 0.55 0.004
NF1 n-MDM2 n-p14ARF 0.69 0.00006

Tumor Heterogeneity

For 21 patients, the TMA contained between two and five parallel samples taken from different parts of the same tumor. Comparisons of the immunohistochemical scoring results for these samples provide information about the heterogeneity of the protein expression within one particular tumor. The proteins CDK2, p53, MDM2, and Ki67 displayed the largest variation within individual tumors, with opposite results (positive in one core, negative in another) found in 7–9 of the 21 tumors in question. In contrast, RB1, p14ARF, p21Cip1, cyclin D1, cyclin D3, and CDK4 showed variation in two or fewer of the 21 tumors. For the following calculations, a tumor was considered positive if at least one of the parallels was scored as positive.

Protein Expression in MPNST Related to Patient Survival

Table 6 lists the significance values for all clinical parameters and selected proteins in relation to 5-year disease-specific survival. Table 7 lists the test statistics for NF1-associated and sporadic tumors separately. Kaplan-Meier plots comparing the survival curves related to clinical parameters and the most significant immunohistochemical results are shown in Fig. 4. Our data show that the 5-year survival is close to 50% for both NF1-associated patients and sporadic MPNST patients (Fig. 4A). As expected, complete remission after initial surgery, tumor size, and tumor grade were significantly associated with survival (Fig. 4B–D). Among the proteins, patients with p53-positive tumors had a strikingly poorer 5-year survival compared with the group with p53-negative tumors (p = 0.008; Fig. 4E; Table 6), an association that was particularly strong for the NF1-associated patients (p = 0.004; Table 7). Furthermore, if the nuclear expression of p53 is stratified into five levels according to the percentage of positive nuclei, the survival rate decreases with increasing amounts of p53 (p = 0.002 for the trend; Fig. 4F). The association between p53 and survival holds even if patients that were not in complete remission are excluded (p = 0.03, n = 40; Fig. 4G), and if patients that had metastatic cancer at the time of the initial diagnosis are excluded (p = 0.03; n = 54; data not shown). A positive c-p14ARF is also correlated with poor survival (p = 0.04; Table 6). For n-cyclin D1, we found a correlation with good prognosis in the group of sporadic MPNST patients (p = 0.011), but not among the NF1 patients (Table 7).

Table 6.

Prognostic factors for 5-year survival in malignant peripheral nerve sheath tumors

Parameter Survival % (SD) Number of Cases p-Valuea HRb 95% CIb p-Valueb
Metastasis at time of diagnosis
 No 57 (6.8) 54 1 × 10−9*
 Yes 13 (12) 8
Complete remission
 Yes 62 (7.5) 42 2 × 10−6* 8.1 3.2–21 0.000012*
 No 14 (9.4) 14
Grade
 Low 89 (11) 9 0.015* 0.12
 High 42 (7.0) 50
Tumor size
 <8 cm 64 (8.6) 32 0.009* 2.8 1.2–6.9 0.02*
 >8 cm 37 (9.3) 27
Location
 Extremities 67 (8.2) 34 0.10
 Nonextremities 36 (9.6) 25
Sex
 Female 43 (9.0) 30 0.35
 Male 58 (8.9) 32
Hereditary
 Sporadic 50 (8.6) 35 0.87
 NF1 52 (9.6) 27
Age (years)
 <20 57 (13) 14 0.46
 21–30 64 (13) 14
 31–40 33 (19) 6
 >40 45 (9.6) 28
n-p53
 Positive 39 (7.6) 41 0.008* 6.4 1.5–29 0.014*
 Negative 83 (9.1) 18
c-p53
 Positive 43 (7.1) 49 0.007* 0.13
 Negative 100 10
c-p14ARF
 Positive 47 (7.0) 52 0.04* 0.46
 Negative 88 (12) 8

Abbreviations: SD, standard deviation; HR, hazard ratio; CI, confidence interval.

a

Univariate p-Values (Breslow test).

b

Multivariate p-Values (Cox regression; n = 47).

*

Statistically significant.

Table 7.

Prognostic factors for 5-year survival of patients with neurofibromatosis type 1 (NF1)-associated malignant peripheral nerve sheath tumors (MPNSTs) or sporadic MPNSTs

NF1-Associated Patients
Sporadic MPNST Patients
Parameter % Survival (SD) Number of Cases p-Valuea % Survival (SD) Number of Cases p-Valuea
Metastasis at time of diagnosis
 No 58 (10) 24 2 × 10−9* 55 (9.3) 30 0.0006*
 Yes 0 3 20 (18) 5
Complete remission
 Yes 67 (10) 21 0.00015* 57 (11) 21 0.012*
 No 0 6 25 (15) 8
Tumor size
 <8 cm 67 (14) 12 0.13 63 (11) 20 0.03*
 >8 cm 43 (13) 14 31 (13) 13
Grade
 Low 100 3 0.13 83 (15) 6 0.06
 High 44 (10) 23 38 (9.6) 27
Location
 Extremities 69 (13) 13 0.33 65 (11) 21 0.25
 Nonextremities 36 (13) 14 36 (15) 11
Sex
 Female 39 (14) 13 0.35 47 (12) 17 0.73
 Male 64 (13) 14 53 (12) 18
n-p53
 Positive 29 (11) 17 0.004* 46 (10) 24 0.30
 Negative 89 (11) 9 76 (15) 9
n-Cyclin D13
 Positive 20 (18) 5 0.12b 81 (12) 11 0.011b*
 Negative 59 (11) 22 39 (11) 22
c-p53
 Positive 41 (11) 22 0.07 44 (9.6) 27 0.05*
 Negative 100 4 100 6
a

Univariate p-Values (Breslow test).

b

n-Cyclin D1 expression had opposite effect on survival for sporadic MPNST patients and NF1-associated patients.

*

Statistically significant: p<0.05.

Fig. 4.

Fig. 4

Disease-specific survival curves for neurofibromatosis type 1 association (A), complete remission after the first surgery (B), tumor size (C), tumor grade (D), nuclear p53 expression (n-p53) (E), detailed n-p53 expression (F), and n-p53 expression only in complete remission patients (G).

No essential differences were seen when we used alternative clinical end points, such as disease-free survival or time to first event (data not shown).

A multivariate Cox regression was performed with the three proteins and the three clinical variables that were shown to affect the disease-specific survival in the Kaplan-Meier plots (Table 6). The parameter “metastasis at time of diagnosis” was omitted since all eight cases with metastases were included in the group without complete remission. These analyses revealed complete remission as the strongest predictor of overall survival (p = 0.000012), followed by n-p53 (p = 0.014) and tumor size (p = 0.021), whereas tumor grade, c-p53, and c-p14ARF did not provide additional information. For patients with all three characteristics combined—no remission, large tumor size, and positive p53 expression—the relative risk of dying within 5 years was 60 times higher (95% confidence interval, 11–329; p = 0.000002; n = 58).

Discussion

To our knowledge, the present study is the most comprehensive immunohistochemical investigation of cell-cycle–related proteins in MPNST. Previous studies have often been limited by the number of antibodies considered, the number of tumor samples included, or both (Table 8). We also provided long and reliable follow-up data for patients still alive and included several quality control steps to ensure optimal immunohistochemical staining for each antibody. The histopathology of all the MPNST tissue cores on the TMA was confirmed by an expert soft tissue tumor pathologist, and at least two persons independently scored each antibody. All the staining results were scanned into digital high-resolution images, making any discrepancies easy to evaluate on a computer screen using the software TMA-Image-Analyzer.

Table 8.

Detailed literature survey of protein expression in malignant peripheral nerve sheath tumors

Antigen Positive n Total n Percentage Antibody Clone (Supplier) Reference Year
p53 28 36 78 DO-7 (DAKO) 30 2007
14 27 52 NA (DAKO) 28 2003
10 12 83 DO-7 (DAKO) 48 2002
3 3 100 DO-1 (Immunotech) 49 2001
14 49 29 PAb1801 (Oncogene) 27 2001
5 8 63 PAb1801 (Calbiochem) 50 2001
11 26 42 DO-7 (Novocastra) 41 2001
6 12 50 DO-7 (DAKO) 39 2001
10 35 29 PAb1801 (Oncogene) 25 1999
6 10 60 NA (Biogenex) 26 1999
12 15 80 DO-7 51 1998
3 3 100 DO-7 (Novocastra) 52 1997
19 28 68 DO-7 (DAKO) 24 1996
17 26 62 DO-7 (DAKO) 35 1995
6 6 100 Poly (Nichirei) 53 1994
Total 164 296 55
Ki67 66 96 69 MIB1 (DAKO) 54 2006
10 43 23 MIB1 (Marseilles) 27 2001
4 4 100 MIB1 (Immunotech) 49 2001
20 34 59 MIB1 (Immunotech) 25 1999
10 10 100 NA (Amac Inc.) 26 1999
3 3 100 MIB1 (Immunotech) 52 1997
23 26 88 MIB1 (Marseilles) 35 1995
Total 136 216 63
p16INK4A 4 15 27 16P07 (NewMarkers) 55 2006
14 27 52 NA (Santa Cruz) 28 2003
1 25 4 poly (PharMingen) 41 2001
1 12 8 JC8 (MGHCC) 22 1999
Total 20 79 25
n-p27Kip1 13 27 48 NA (DAKO) 28 2003
3 35 9 Ab-2 (Oncogene) 25 1999
Total 16 62 26
c-p27Kip1 9 27 33 NA (DAKO) 28 2003
19 35 54 Ab-2 (Oncogene) 25 1999
Total 28 62 45
RB1 10 12 83 Poly (Biogenex) 35 2002
31 35 89 Clone 3C8 (Bioscience) 25 1999
27 27 100 PMG3-245 (PharMingen) 41 2001
Total 68 74 92
p21Cip1 35 49 71 EA10 (Oncogene) 27 2001
16 35 46 Ab-1 (Oncogene) 25 1999
Total 51 84 61
MDM2 4 26 15 IF2 (Oncogene) 41 2001
33 49 67 IF2 (Oncogene) 27 2001
Total 37 75 49
Cyclin D1 10 35 29 Ab-3 (Oncogene) 25 1999
Cyclin E1 14 33 42 Poly (Dr. A. Koff) 25 1999
CDK4 1 27 4 C22 (Santa Cruz) 41 2001

Abbreviations: NA, information not available; MGHCC, Massachusetts General Hospital Cancer Center.

Protein Interdependence and Interpretation of In Situ Data

In contrast to earlier reports,26,28,35 we found no significant difference in the distribution of p53 or Ki67 when we compared the high- and low-grade MPNSTs. This could be related to the absence of a universally accepted grading system for sarcomas.36 The Scandinavian grading system is primarily based on Broder’s grading of malignant tumors.32 None of our three benign neurofibroma samples expressed Ki67, whereas more than half of the MPNSTs had positive expression (Tables 2 and 3). Although expression of p53 is expected to be lower in neurofibromas, we were not able to distinguish them from MPNSTs in our data based on the small number of neurofibromas (Table 3).30

A large variation is reported for p53 expression in MPNST (Table 8). Our nuclear scoring results are within the range of these previous studies, and we also observed cytoplasmic expression. The large variation among different studies could be explained by the use of different antibodies in various concentrations, as well as different cutoff levels for scoring.

A common reason for accumulation of p53 in cancer cells is mutation in the TP53 gene. For MPNST, there are conflicting data regarding the influence of TP53 mutations. A handful of studies, each with only four to seven cases, report up to 75% mutations or deletions in TP53,3739 and a higher frequency is generally reported for sporadic cases compared with NF1-associated MPNST. In contrast, in a series of 16 MPNSTs, including 11 from NF1-associated patients and 5 sporadic MPNST patients, we did not detect any mutations in the coding exons 2–11 of TP53.40 Our findings are supported by other studies (range, 5–32 cases) reporting infrequent mutations.27,30,4143 The stability of p53 is also linked to the negative feedback loop involving MDM2.44 Among the 18 of our samples that were negative for p53, only one was positive for MDM2. In tumors with both p53 and MDM2 expression, p14ARF is a candidate for suppression of MDM2 activity.45 We found p14ARF expressed in all samples that also expressed MDM2.

Heterogeneity

The large intratumor variation of protein expression for CDK2, p53, MDM2, and Ki67 suggests that events leading to altered expression of these genes, such as mutations, deletions, amplifications, or epigenetic modifications, occur late in tumor development.

The most homogeneous expression patterns were seen for RB1, p14ARF, p21Cip1, cyclin D1, cyclin D3, and CDK4. Events affecting the expression of these proteins therefore most likely occur prior to, or early in, the development of MPNST.

Protein Expression in MPNST Related to Patient Survival

We found that especially the NF1-associated patients with accumulation of nuclear p53 had poor survival (p = 0.004; Table 7). The Cox regression analysis identified p53 as the strongest predictor of poor survival for the entire patient group, including the sporadic cases (Table 6). Positive c-p53 expression was also associated with reduced survival (p = 0.01), and there were no disease-specific deaths within the group with negative cytoplasmic staining. However, since only nine samples were negative for c-p53, this parameter reached a significance of only p = 0.13 in the multivariate analysis. The association between p53 expression and poor patient survival in MPNST has to our knowledge been reported only in one previous study of 28 cases.24 In addition, a difference between the NF1-associated patients and the sporadic MPNST patients regarding p53 expression and time of recurrence has also been reported.26 For p16INK4a, there seems to be a tendency for lower expression with increasingly aggressive phenotypes; one study reported positive immunoreactivity for p16INK4A in virtually all neurofibromas and in almost as many plexiform neurofibromas,28 whereas the frequency of MPNST with positive staining for p16INK4a is severely reduced (Table 8). This can be explained in part by deletions of the CDKN2A gene, which have been reported by us and others.2022 Furthermore, p16INK4A immunoreactivity is typically observed in those that do not have homozygous deletions of the CDKN2A gene.23,41 There was only one disease-related death among the eight patients with negative c-p14ARF expression (p = 0.04; Fig. 4G), an alternative transcript of the CDKN2A gene. We found that expression of both n-p27KIP1 and c-p27KIP1 was significantly lower in NF1-associated MPNSTs than in sporadic cases (Table 3); in fact, no tumors with cytoplasmic staining could be found among the NF1-associated MPNSTs. A correlation between c-p27 expression and poor survival, as observed by Kourea et al.,25 could not be verified in our data. Positive cyclin E1 and CDK4 were found expressed in almost all samples, which is in strong contrast to two earlier reports.25,41 This could be due to differences in the immunohistochemistry protocols, for example, use of other dilution levels or reagents.

Sporadic versus NF1-Associated MPNST

Many studies report that the 5-year survival from diagnosis of NF1-associated patients with MPNST is only half of that of sporadic MPNST cases (~30% for NF1 vs. 55% for sporadic).1,3,58 However, this is not a consistent finding, as others report no significant difference.46,47 In the present series, no significant difference was observed in the survival rate when we compared NF1-associated MPNSTs with sporadic cases; the 5-year survival among the patients in this cohort was about 50% for both groups (Fig. 4A). We can disregard diagnostic uncertainty for the present series, since all cases were reevaluated by reference pathologists, and furthermore, six NF1-associated and eight sporadic cases were analyzed for germline mutations, confirming the clinical status (I. Bottillo et al., unpublished data). The largest difference between the two groups is observed after 36 months, where the disease-specific survival for the NF1-associated and sporadic MPNST patients is 52% (±10) and 65% (±8), respectively. However, this difference is not significant (p = 0.46). One might speculate that the relatively high survival rate for the NF1-associated patients in our study compared with the previous studies could be correlated to a good monitoring protocol of the NF1-associated patients, allowing for early detection of malignancies.

Summary

We have here presented the most comprehensive in situ protein profiling of sporadic and NF1-associated MPNST so far, which has allowed us to delineate the expression levels of a number of proteins affecting the regulation of the cell cycle in this cancer type.

Notably, tumors with high expression of n-p53, c-p53, or c-p14ARF were correlated with poor survival for both patient groups. Nuclear cyclin D1 was correlated with prolonged survival for the sporadic MPNST patients. Overall, for both groups of MPNST patients, we showed that complete remission was the most decisive parameter to predict disease-specific survival, followed by nuclear expression of p53 and tumor size. Patients without complete remission, with tumor size larger than 8 cm, and with positive p53 expression had a 60 times greater risk of dying within the first 5 years compared to the remaining patients (p = 0.000002). These data suggest that assessment of p53 expression in situ should be performed routinely on these tumors. Patients with curative intent who are in complete remission with a known positive p53 tumor status form a high-risk subgroup for whom adjuvant treatment should be considered.

Acknowledgments

This study was financed by grants from the Norwegian Cancer Society (R.A.L.: A95068), from which H.R.B. is supported with a Ph.D. grant, and from the Norwegian Research Council (R.A.L.: 163962).

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