Literature DB >> 25861128

Expressions of Somatostatin Receptor Subtypes (SSTR-1, 2, 3, 4 and 5) in Neuroblastic Tumors; Special Reference to Clinicopathological Correlations with International Neuroblastoma Pathology Classification and Outcomes.

Noriko Watanabe1, Yoko Nakanishi1, Noriko Kinukawa1, Sumie Ohni1, Yukari Obana1, Atsuko Nakazawa2, Norimichi Nemoto1.   

Abstract

Somatostatin receptor (SSTR) expressions in neuroblastomas (NBs) have been confirmed employing various methods. High SSTR-2 expression was suggested to be a favorable prognostic marker, though little is known about the relationships between the expressions of SSTR subtypes, other than SSTR-2, and prognosis. We investigated the expressions of all five known SSTR subtypes in 63 neuroblastic tumors (NTs), employing immunohistochemistry, and also conducted quantitative real-time RT-PCR in 37 of these tumors. We evaluated correlations between the expressions of SSTR subtypes and prognosis, based on the International Neuroblastoma Pathology Classification and patient outcomes. More than 90% of cases expressed, at a minimum, SSTR-1 and/or 2. Ganglioneuromas and ganglioneuroblastomas expressed more than two SSTR subtypes. Among NBs, the favorable histology group showed higher SSTR subtype expressions than the unfavorable histology group. The same tendency was observed when surviving and deceased cases were compared, though SSTR-2 expression was well preserved in some of the deceased cases. In conclusion, NTs highly expressed SSTR-1 and/or 2, and expressions of SSTR generally indicate a good prognosis. However, even those in the unfavorable histology group with NBs expressing SSTR are good candidates for molecular targeting therapy using somatostatin analogues.

Entities:  

Keywords:  International Neuroblastoma Pathology Classification; immunohistochemistry; neuroblastoma; quantitative real-time RT-PCR; somatostatin receptor

Year:  2014        PMID: 25861128      PMCID: PMC4387243          DOI: 10.1267/ahc.14024

Source DB:  PubMed          Journal:  Acta Histochem Cytochem        ISSN: 0044-5991            Impact factor:   1.938


Introduction

Somatostatin is a regulatory peptide, with two forms known as somatostatin-14 and somatostatin-28, produced by neuroendocrine cells, inflammatory cells and immune cells, and shows diverse physiological effects, generally exerting inhibitory effects on hormonal products, secretion and cell growth [21]. Its plasma half-life is quite short, such that stable synthetic analogues have been developed for experimental and clinical use. The biological effects of somatostatin are mediated by five somatostatin receptor (SSTR) subtypes, 1, 2, 3, 4 and 5, which are G-protein-coupled plasma membrane receptors, extensively distributed in systemic organs. They are also detected in many tumors including endocrine and non-endocrine tumors, by techniques such as scintigraphy [12], affinity and autoradiography binding with natural ligand somatostatin or synthetic analogues [25], reverse-transcriptase polymerase chain reaction (RT-PCR) [22], western blot, in situ hybridization and immunohistochemistry (IHC) [27]. At present, scintigraphy remains a useful tool not only for in vivo detection of SSTR but also for peptide receptor radionuclide therapy. Qualitative and quantitative RT-PCR techniques are both used extensively in experimental settings. IHC has come into widespread use for routine pathological diagnosis employing commercially available antibodies to evaluate neuroendocrine tumors, since treatment with somatostatin analogues was approved. In recent years, the use of a monoclonal antibody against SSTR has increased and promising results have reportedly been obtained [26]. Neuroblastic tumors (NTs) are the most common solid pediatric malignancy. NTs have unique biology in terms of tumor maturation, a process which mimics differentiation of the embryonal neural crest. The International Neuroblastoma Pathology Classification (INPC) for NTs is now widely accepted [29, 30]. It defines tumor category and prognostic group. Tumor category reflects the morphological differentiation of tumors including ganglioneuroma (GN), ganglioneuroblastoma (GNB) intermixed, neuroblastoma (NB) and GNB nodular. Prognostic group, which takes age and MKI (mitosis-karyorrhexis index, representing cellular turnover) into account in addition to tumor category, correlates well with patient outcomes. Prognostic group may reflect functional differentiation of the tumor. As a practical matter in the clinical setting, it is useful to classify morphologically similar NBs into two prognostically distinct groups. SSTR expressions of NBs have been demonstrated in cell lines and tumor specimens in the last two decades using various methods [15, 18, 19]. High expression of SSTR-2 was shown to correlate with patient survival [24]. Recently, there has been remarkable progress in treatments targeting SSTRs. Peptide receptor radionuclide therapy has been performed for unresectable NBs in clinical trials [6, 10, 16]. New therapeutic techniques are under investigation in light of their demonstrated SSTR selectivity [13, 31]. Novel multi-receptor targeting somatostatin analogues are also being developed [4]. Earlier studies which detected the expressions of SSTRs in NBs focused mostly on SSTR-2, because octreotide, a representative somatostatin analogue and also a very useful tool for study, was found to be highly selective for SSTR-2. Only a few studies have examined the expressions of SSTR subtypes, other than SSTR-2, in NBs. Thus, little is known about the relationships between subtypes other than SSTR-2 and prognosis. However, the profiling of SSTR subtypes is necessary for future effective use of novel multi-receptor targeting somatostatin analogues. In this study, we investigated the expressions of SSTR-1, 2, 3, 4 and 5 in NTs and evaluated the relationships of these expressions with prognosis. We applied the INPC criteria, in addition to patient outcomes as prognostic factors, because the INPC is the standard histological classification used in clinical practice, and it reflects both morphological differentiation and prognosis. One of our interests is the relationships between SSTR expressions and morphology in NTs, because high expressions of SSTRs were observed in differentiated neuroendocrine tumors [17]. For detecting the expressions of SSTR subtypes in NTs, we used IHC and quantitative real-time RT-PCR (qRT-PCR) techniques. IHC results were evaluated employing the immunoreactive score (IRS) which was first developed for IHC assessment of estrogen receptors in breast tumors and has also recently been used for assessing neuroendocrine tumors [8, 9].

Materials and Methods

Materials

We studied 63 cases with neuroblastic tumors (NTs) consisting of 54 neuroblastomas (NBs), 4 ganglioneuroblastomas (GNBs) and 5 ganglioneuromas (GNs). The tumors were sampled by open biopsy or surgically removed before chemotherapy and submitted for pathological examination at Nihon University Itabashi Hospital and National Center for Child Health during the period between 1991 and 2012. The selected tumors were reclassified according to the histological classification of the INPC by more than two pathologists. NBs included 27 cases each in the favorable and unfavorable histology groups. GNBs included 2 intermixed types and 2 nodular types. The clinical and pathological information of all cases is summarized in Table 1. Ten patients died, and all deaths were cancer-related. Twelve tumors showed MYCN amplification. Fourteen patients had stage 1, 10 stage 2, 11 stage 3, 26 stage 4 and 2 stage 4S, based on the International Neuroblastoma Staging System (INSS) [3]. Eight normal adrenal medullas and 4 normal sympathetic ganglia, contained in some of the tumor specimens, were also examined as normal control tissues.
Table 1. 

Summary of clinical and pathological profiles

Histology (INPC category/prognostic group)No.AgeSexLesionHistological subtypeMKIStageMYCN amplificationSurvival
Ganglioneuroma114yMRMature1NENED 8y
219yMMMature1NEUnknown
321yMMMature1NENED 4y
431yMAMature1NENED 2y
551yMAMature1NEUnknown
Ganglioneuroblastoma intermixed12yFA1NED 6y
23yMR2ANED 20y
Ganglioneuroblastoma nodular*32yMALow4NED 3.5y
**43yFP4AWD 2.5y
Neuroblastoma/Favorable group16dFPPoorlyLow3NED 7y
216dMRPoorlyLow3NED 4y
33mMRPoorlyLow1NED 2y
44mMPPoorlyLow1NED 3y
54mMAPoorlyLow1NED 4y
66mFAPoorlyIntermediate4SNED 4y
77mMRPoorlyLow2ANED 8y
87mMAPoorlyLow2BNED 17y
97mMADifferentiatingIntermediate2BNED 16y
107mFPPoorlyLow4DOD 1.5m
118mMAPoorlyIntermediate3Unknown
128mMPPoorlyLow4SNED 19y
138mFAPoorlyLow1NED 11y
149mMRPoorlyLow3NED 12y
159mFAPoorlyIntermediate1NED 11y
169mFRPoorlyLow2ANED 12y
1710mFAPoorlyLow2BNED 2.5y
1810mFAPoorlyLow2BNED 15y
1911mMAPoorlyLow2BNED 1.5y
2011mFAPoorlyLow1NED 12y
2112mMPPoorlyLow3NED 7y after relapse
2212mFRDifferentiatingLow1NED 8y
2313mMRPoorlyLow2NED 4y
2414mFMPoorlyLow4NED 3y
2515mFADifferentiatingLow3NED 13y
2617mFAPoorlyLow4AWD 2.5y
272yMADifferentiatingLow1NED 5y
Neuroblastoma/Unfavorable group289mFAPoorlyHigh2+NED 4y
2916mMAPoorlyHigh4+DOD 1.3y
3018mMAPoorlyHigh4+NED 5y
3120mMAPoorlyHigh4+NED 4.5y
3220mFRPoorlyLow3NED 5y
3321mMRUndifferentiatedHigh3+DOD 6m
3423mMAPoorlyHigh4+NED 2y
352yMRPoorlyLow4+NED 8y
362yMRPoorlyLow4AWD 10m
372yMAPoorlyLow4NED 9y
382yMMPoorlyIntermediate3+NED 3.5y
392yFAPoorlyIntermediate4+NED 6y
402yFMPoorlyHigh4DOD 1.8y
413yMAPoorlyLow4DOD 4.3y
423yMAPoorlyIntermediate4AWD 4y
434yMAPoorlyLow4NED 3.5y
444yMRPoorlyHigh4+DOD 1.5y
454yMRPoorlyLow3NED 1.5y
464yFAPoorlyHigh4+DOD 4m
475yMAPoorlyLow4NED 1.8y after relapse
485yMAPoorlyHigh4+NED 9y
495yMAPoorlyHigh4DOD 3.3y
506yMRPoorlyIntermediate4AWD 3y
5110yFLNPoorlyIntermediate3DOD 2m
5211yMPPoorlyIntermediate4NED 1y
5312yMRDifferentiatingIntermediate4AWD 2y
5412yFAPoorlyLow4DOD 3.3y

MKI: mitosis-karyorrhexis index, y: years, d: days, m: months, M: male, F: female, R: retroperitoneum, M: mediastinum, A: adrenal gland, P: paravertebral area, LN: lymph node, NE: not examined, NED: no evidence of disease, DOD: died of disease, AWD: alive with disease, *: GNB nodular with mixed features with GNB intermixed and NB poorly differentiated subtype, **: GNB nodular with GN features only in the specimen examined in this study.

IHC for SSTR subtypes

IHC was performed using an automated staining system (Histostainer; Nichirei Bioscience, Tokyo, Japan) with formalin-fixed paraffin-embedded tissue sections cut at a thickness of 4 μm and mounted onto silane-coated glass slides. For antigen retrieval, dewaxed sections were immersed in citrate buffer at pH 6.0 and boiled in a water bath at 95°C for 40 min, then cooled to room temperature. After being washed several times in phosphate buffered saline (PBS), the sections were processed for blocking of the non-specific binding with 5% normal goat serum for 10 min. These steps were omitted for somatostatin immunostaining. Sections were incubated with the primary antibodies for 30 min at room temperature. After washing with PBS, endogenous peroxidase blocking was carried out with 3% hydrogen peroxide for 10 min. Sections were incubated with secondary antibody for 30 min at room temperature. After washing with PBS, sections were incubated with 3,3-diaminobenzidine for 5 min. After washing with running water, the sections were counterstained with hematoxylin for 1 min. The data for the primary and secondary antibodies, as well as the working dilutions, are shown in Table 2. As the positive control, we used normal pancreatic islets. Negative controls were established by omitting the specific primary antibodies followed by the same processing as above.
Table 2. 

Antibodies for IHC

Primary antibodySourceAnimalClone/CodeDilution ratioSecond antibody
SSTR 1GramschRabbitPoly/SS-840×400Envision (Dako)
SSTR 2AbcamRabbitUMB1/ab134152×200Envision (Dako)
SSTR 3GramschRabbitPoly/SS-850×400Envision (Dako)
SSTR 4GeneTexRabbitPoly/GTX70677×100Envision (Dako)
SSTR 5GramschRabbitPoly/SS-890×400Envision (Dako)
SomatostatinDakoRabbitPoly/A566×500Histofine (Nichirei)

Histofine: Histofine Simple Stain MAX PO (MULTI).

For the evaluation of immunohistochemical expressions of SSTR subtypes, we applied a semi-quantitative analysis, employing the IRS, according to the study of Kaemmerer et al. [8, 9]. The IRS is the number of points from the percentage of positive cells multiplied by the intensity of staining. IRS point totals range from 0 to 12. A score of more than one point is considered to be positive (Table 3).
Table 3. 

Immunoreactive score (IRS)

Percentage of positive cells00​%
1<10​%
210–50​%
351–80​%
4>80​%
Intensity of staining0None
1Mild
2Moderate
3Intense

IRS score = Percentage of positive cells × Intensity of staining

IRS scores range from 0 to 12 points, with a score of more than 1 point being considered positive.

Quantitative real-time RT-PCR (qRT-PCR) for measurement SSTR subtypes

For RNA extraction, we used serial sections of the formalin-fixed paraffin-embedded tissues employed for the aforementioned IHC. Eight-μm-thick sections were cut from the paraffin embedded tumor blocks and collected into Eppendorf tubes, and then processed for deparaffinization. In the case of the paraffin blocks including non-tumor tissues, these tissues were removed manually under a microscope and the targeted area was collected into an Eppendorf tube with mineral oil. The samples were mixed with 200 μL of denaturing buffer containing 2% SDS, 0.1 mM EDTA, and 10 mM Tris-HCl, and incubated at 55°C with 5 μL of proteinase K until the sections were completely dissolved. Total RNA was purified with 20 μL of 2 M sodium acetate pH 4.0, 220 μL of citrate saturated phenol pH 4.3, and 60 μL of chloroform-isoamyl alcohol. Following centrifugation at 15,000 rpm for 15 min, the upper aqueous layer was transferred into fresh tubes, and 200 μL of isopropanol and 2 μL of glycogen were added as a carrier. Samples were then frozen at –80°C for more than 30 min. The pellets were collected by centrifugation for 30 min at 14,000 rpm, washed with 70% ethanol, and air-dried on ice. Subsequently, the pellets were dissolved in 5–10 μL of RNase-free water and quantified at an optical density of 260 nm using a Nanodrop 1000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, U.S.A.). The total RNA samples were stored at –80°C until use. According to the manufacturer’s instructions, both genomic DNA elimination and cDNA synthesis were performed using the Quantitect Reverse Transcription Kit (QIAGEN, Tokyo, Japan). The mRNA expression levels of SSTR subtypes (SSTR-1, 2, 3, 4 and 5) and the internal control glyceraldehyde 3-phosphate dehydrogenase (GAPDH) were measured by the qRT-PCR method using 1 μL cDNA samples. The qRT-PCR amplification and data analysis were carried out using the ABI Prism 7000 Sequence Detection System (Life Technologies Japan, Tokyo, Japan). The amplification was performed with 20 μL of final reaction mixture containing 900 nmol/L of each primer (Table 4), as previously reported [17], and 1×SYBR® Green PCR Master Mix (Life Technologies Japan). The reaction mixture was preliminarily heated at 95°C for 10 min, followed by 45 cycles at 95°C for 15 sec and 60°C for 1 min. Each SSTR subtype mRNA relative value was measured by the ΔΔCT method with threshold cycle times of each target SSTR and GAPDH [14].
Table 4. 

Primer sequences for real-time RT-PCR assay for SSTR subtypes

TargetSequencesProducts (bp)
SSTR 1forwardtgagtcagctgtcggtcatc93​
reverseggaaagagcgcttgaagttg
SSTR 2forwardctttgtggtggtcctcacct100​
reversegcagaggacattctggaagc
SSTR 3forwardttcctctcctaccgcttcaa123​
reversectcctcctcatcctcctcct
SSTR 4forwardtctttgtgctctgctggatg96​
reverseggataagggacacgtggttg
SSTR 5forwardcccttcttcaccgtcaacat102​
reversegttggcgtaggagaggatga
GAPDHforwardggaaggtgaaggtcggagtca101​
reversegtcattgatggcaacaatatccact
In this study, as the RNA degradation of samples was demonstrated by capillary electrophoresis using Bioanalyser 2100 (Agilent Technologies, Tokyo, Japan), the target amplifications achieved by the qRT-PCR method were confirmed employing agarose gel electrophoresis staining with SYBR® Green (Fig. 1).
Fig. 1. 

The qRT-PCR products were visualized as specific bands (SSTR-1: 93 bp, SSTR-2: 100 bp, SSTR-3: 123 bp, SSTR-4: 96 bp, SSTR-5: 102 bp, GAPDH: 101 bp) by 2% gel electrophoresis. The positive control sample expressed all SSTR subtypes and GAPDH; from the formalin-fixed paraffin-embedded tissue of a neuroendocrine tumor. Sample 1 expressed SSTR-1, 2 and 4; our NB case, from the favorable histology group, corresponds to Case No. 26 in Table 1.

Statistical analysis

Statistical analyses were performed using Ekuseru-Toukei 2012 (Social Survey Research Information, Tokyo, Japan). Each test used is described in the relevant portion of the results section. A value of p<0.05 was considered to indicate a statistically significant difference.

Results

IHC expressions of SSTR subtypes and their relationships with INPC

IHC was performed on all 63 NTs and normal tissues (8 adrenal medullas and 4 sympathetic ganglia). The numbers of samples positive for SSTR-1, 2, 3, 4 and 5 in NTs were 45/63 (71.4%), 53/63 (84.1%), 9/63 (14.3%), 29/63 (46.0%) and 0/63 (0%), respectively. Thus, 57/63 (90.5%) of the specimens were positive for expression of SSTR-1 and/or 2. Six cases showed no expression of SSTR subtypes. Co-expression of SSTR-1 and 2 was observed in more than 60% of all cases. None of our cases had tumors expressing SSTR-3 or SSTR-4 alone. IHC expressions of SSTR subtypes classified by INPC are shown in Table 5. All GNs and GNBs showed 100% SSTR-1, 2 and 4 expressions. In NBs, the rates of positivity for SSTR 1, 2, 3 and 4 were higher in the favorable than in the unfavorable histology group and the differences were statistically significant. These results indicated the tendency for morphologically differentiated tumors and the favorable histology group to express more SSTR subtypes. Semi-quantitative comparison using the IRS system showed GNs and GNBs to have higher scores than NBs with the SSTR-1, 3 and 4 subtypes (Fig. 2). As to SSTR-2, however, the scores were not particularly high for GNs and GNBs. In NBs, the favorable histology group showed higher point totals than the unfavorable histology group, with significant differences in SSTR-1, 2 and 4. Representative positive cases are shown in Fig. 3. In general, large cells which appeared to be more differentiated tended to stain well. Expressions of SSTR subtypes in normal tissues from the adrenal medulla and sympathetic ganglia were quite similar to those of GNs and GNBs, with the expression rates being 100% for SSTR-1, approximately 90% for SSTR-2, approximately 40% for SSTR-3, 100% for SSTR-4 and 0% for SSTR-5.
Table 5. 

IHC results: number of cases positive for SSTR subtype expressions classified by INPC category and prognostic group

SSTR1SSTR2SSTR3SSTR4SSTR5
​GNs (n=5)5/5​ (100%)5/5​ (100%)2/5​ (40%)5/5​ (100%)0/5​ (0%)
​GNBs (n=4)4/4​ (100%)4/4​ (100%)2/4​ (50%)4/4​ (100%)0/4​ (0%)
​NBs (n=54)36/54​ (66.7%)44/54​ (81.5%)5/54​ (9.3%)20/54​ (37.0%)0/54​ (0%)
​ Favorable (n=27)24/27​ (88.9%) **25/27​ (92.6%) *5/27​ (18.5%) *16/27​ (59.3%) **
​ Unfavorable (n=27)12/27​ (44.4%)19/27​ (70.4%)0/27​ (0%)4/27​ (14.8%)
​Total (n=63)45/63​ (71.4%)53/63​ (84.1%)9/63​ (14.3%)29/63​ (46.0%)0/63​ (0%)

** p<0.01, * p<0.05 with Chi-square test for comparison between the favorable and unfavorable histology groups.

Fig. 2. 

Semi-quantitative IHC evaluation of SSTR expressions in NTs (n=63). Immunoreactive scores for SSTR-1, 2, 3 and 4 classified by INPC category and prognostic group are shown as box plots. None of our cases had tumors expressing SSTR-5. Ganglioma (GN, n=5) and ganglioneuroblastoma (GNB, n=4) tended to have higher scores than neuroblastoma (NB) for SSTR-1, 3 and 4. The favorable histology group with NB (NB/F, n=28) had higher scores than the unfavorable histology NB group (NB/U, n=28) for SSTR-1, 2 and 4 and the differences were statistically significant. **p<0.01, *p<0.05 by Kruskal-Wallis test and the Steel multiple comparison procedure. The bottom of each box is the 25th percentile, the top is the 75th percentile and the line in the middle is the 50th percentile. Upper and lower horizontal lines are the 90th and 10th percentiles, respectively. Diamond shapes represent mean values.

Fig. 3. 

SSTR expressions in NTs; representative cases. A) SSTR-1, GNB, intermixed tumor; strong positive staining identified in cytoplasm of most tumor cells, corresponding to an IRS of 12. B) SSTR-1, NB, favorable histology group; strong diffuse cytoplasmic staining, IRS 12. C) SSTR-2, GN; moderate positive staining in membranes of more than half of all tumor cells, corresponding to an IRS of 6. D) SSTR-2, NB, unfavorable histology group. Left photo: weak to moderate membranous staining in a portion of the tumor cells, given an IRS of 3. Right photo: different case; strong membranous staining in almost all tumor cells, IRS 12. Both cases are deceased. E) SSTR-3, GN; weak diffuse cytoplasmic staining, IRS 4. F) SSTR-3, NB, favorable histology group; moderate staining in scattered tumor cells, IRS 2. G) SSTR-4, GN; moderate diffuse cytoplasmic staining, IRS 8. H) SSTR-4, NB, favorable histology group; moderate positive staining in cytoplasm of more than half of tumor cells, IRS 6. Bars=50 μm.

IHC for somatostatin was performed on all 63 NTs and also the normal tissue specimens. Only 7 of the 63 cases with NTs showed focally positive IHC reactions for somatostatin. As to normal tissues, just one of the 8 adrenal medullas and none of the sympathetic ganglia showed focally positive IHC reactions for somatostatin.

Quantitative mRNA expression of SSTR subtypes and relationships with INPC

qRT-PCR analysis was performed in 37 NTs including 28 NBs, 4 GNBs and 5 GNs. Variable extents of mRNA expressions of SSTRs, other than SSTR-5, were observed. No cases showed expression of SSTR-5, which was consistent with the IHC results. No distinct tendencies were identified according to the INPC category, due to the expression of SSTRs in GNs and GNBs being relatively low. This was attributed to the mRNA levels of SSTRs being relative to the amounts of GAPDH in whole tissues, and tumor cells in GNs and GNBs are very sparse. When limited to NBs, analysis of each of the mRNA levels with corresponding IRS point totals revealed significant correlations, with a value of 0.71 (p<0.01) for SSTR-1, 0.51 (p<0.01) for SSTR-2, 0.40 (p<0.05) for SSTR-3 and 0.66 (p<0.01) for SSTR-4, as determined employing Spearman’s rank correlation analysis. In NBs, mRNA levels of SSTR-1, 2 and 4 tended to be higher in the favorable than in the unfavorable histology group (Fig. 4). Significant differences were, however, noted only in the expression of SSTR-1.
Fig. 4. 

Comparison of mRNA levels of SSTR-1, 2, 3 and 4 between the favorable (NB/F, n=14) and unfavorable (NB/U, n=14) NB histology groups by box plot. NB/F tended to express higher SSTR-1, 2 and 4 levels than NB/U but only the difference for SSTR-1 was statistically significant. The data were widely dispersed without a normal distribution. Thus, the Mann-Whitney U test was employed for analyses. The bottom of each box is the 25th percentile, the top is the 75th percentile and the line in the middle is the 50th percentile. Upper and lower horizontal lines are the 90th and 10th percentiles, respectively. Diamond shapes represent mean values.

SSTR expressions in surviving and deceased cases

Ten deceased cases were included in this study. All who died had NBs and consisted of 1 case in the favorable and 9 in the unfavorable histology group. No expression of SSTR-3, 4 or 5 had been detected in any of the 10 patients who died. The expressions of SSTR-1 and 2 in the deceased cases were 40% (4/10) and 80% (8/10), respectively, by IHC. Semi-quantitative analysis of IHC results, as assessed by IRS, revealed the expressions of SSTR-1 and 4 to be significantly higher in the surviving cases, while SSTR-2 expression did not differ between the surviving and deceased cases (Fig. 5). mRNA expressions also tended to be higher in surviving cases for SSTR-1, and slightly higher for SSTR-2 and 4, but the differences did not reach statistical significance (Fig. 6). The data obtained from each of the deceased cases are shown in Table 6. The SSTR-2 expression levels varied widely, with some cases showing high expression of SSTR-2 (No. 29, 49 and 54). We investigated the relationships of morphological and clinical factors with the IRS point totals of these cases, but no specific features were identified.
Fig. 5. 

Immunoreactive scores for each SSTR of surviving and deceased cases with NBs. A: alive (n=43), D: dead (n=10), **p<0.01. Higher scores were obtained in surviving than in deceased cases and the differences were statistically significant for SSTR-1 and 4 by the Mann-Whitney U test. The difference in SSTR-2 between surviving and deceased cases was very small. The bottom of each box is the 25th percentile, the top is the 75th percentile and the line in the middle is the 50th percentile. Upper and lower horizontal lines are the 90th and 10th percentiles, respectively. Diamond shapes represent mean values.

Fig. 6. 

mRNA levels of each SSTR in surviving and deceased cases with NBs. A: alive (n=24), D: deceased (n=4). The SSTR-1 values tended to be higher for surviving than for deceased cases. Values were also slightly higher for SSTR-2 and 4 in surviving cases, though the differences did not reach statistical significance with the Mann-Whitney U test. The bottom of each box is the 25th percentile, the top is the 75th percentile and the line in the middle is the 50th percentile. Upper and lower horizontal lines are the 90th and 10th percentiles, respectively. Diamond shapes represents mean values.

Table 6. 

IRS points and mRNA levels of deceased cases

NoIRSmRNA levelsomatostatinHistologyMKIMYCN amplificationDuration of disease
SSTR1SSTR2SSTR1SSTR2
1042ndndNB, poorly, Flow1.5m
2909ndndNB, poorly, Uhigh+1.3y
33300.120NB, undiff, Uhigh+6m
4000ndndNB, poorly, Uhigh1.8y
4146ndnd+ (50%)NB, poorly, Ulow4.3y
4406ndndNB, poorly, Uhigh+1.5y
46430.030.07NB, poorly, Uhigh+4m
4901200.18NB, poorly, Uhigh3.3y
5108ndndNB, poorly, Uinter2m
5401200.92NB, poorly, Ulow3.3y

Numbers correspond to those in Table 1. All cases were negative for SSTR-3, 4 and 5. The SSTR-2 expressions are well preserved in numbers 29, 49 and 54. IRS: Immunoreactive score, nd: not done, NB: neuroblastoma, poorly: poorly differentiated subtype, undiff: undifferentiated subtype, F: favorable histology group, U: unfavorable histology group, MKI: mitosis-karyorrhexis index.

Discussion

In this study, we investigated the expressions of SSTR subtypes in NTs, and their relationships with tumor differentiation based on INPC criteria and patient outcomes. There have been only a few reports examining all known SSTR subtypes in human NB tissues. Albers et al. demonstrated decreasing expressions of SSTR-1, 2, 3, 4 and 5 as the tumor stage advanced [1]. Georgantzi et al. also examined the expressions of all of the SSTR subtypes by IHC [7]. Both reports showed high rates of SSTR-1 and 2 expressions despite the different techniques used. We examined the expressions of SSTR subtypes using formalin-fixed and paraffin-embedded tissues from NTs, and demonstrated relatively high expressions of SSTR-1 (71.4%) and SSTR-2 (84.1%), while nearly 50% of tissue samples showed SSTR-4. On the other hand, the expression of SSTR-3 was quite low, and no SSTR-5 expression was detected. These results support those of former reports demonstrating high SSTR-1 and 2 expression rates in human NB tissues. The relationship between NBs and somatostatin has already been investigated, and the results suggested that somatostatin induces tumor differentiation [5, 11, 23]. However, somatostatin identification in NBs varies among reports. In our study, only 7 of 63 cases with NTs showed focal positivity for somatostatin. Albers et al. reported the growth of experimental tumors with transfected SSTR-1 and 2 to be inhibited, even in the absence of exogenous somatostatin [1]. Their observations suggest that SSTR might be upregulated by endogenous somatostatin alone, and that even limited expression of somatostatin might be sufficient for SSTRs to exert their effects. To correlate the expressions of SSTR subtypes with tumor differentiation, we used the criteria established by the INPC tumor category and the prognostic group findings. SSTR-1, 2 and 4 expressions were found in all cases with GNBs and GNs. The semi-quantitative analysis of IHC results showed tendencies for higher expressions of SSTR-1, 3 and 4 in GNBs and GNs, as compared with NBs. These results suggest that expressions of multiple SSTRs might be related to morphological tumor differentiation. The differences were more striking when the prognostic groups were compared, and the expressions of SSTR-1, 2, 3 and 4 were significantly higher in the favorable than in the unfavorable histology group. For INPC the prognostic group is defined employing Shimada’s system, which is based on age and cellular turnover, or otherwise on morphological differentiation. From this standpoint, the expressions of SSTR subtypes may reflect not only morphological differentiation but also characteristics of functional differentiation. In this study, the analysis of mRNA levels showed no specific differences according to the INPC category. This was considered to be attributable to the extremely low cellularity of GNs and GNBs, as compared with NBs. When only NBs were analyzed, the correlations between semi-quantitative assessment employing IHC results and relative mRNA levels of SSTRs were in good accordance. Previous clinicopathological studies indicated SSTR expression to be a favorable prognostic marker. Moertel et al. reported SSTR expression to correlate well with patient survival [18]. O’Dorisio et al. reported a good correlation between SSTR expression and tumor stages [19]. Raggi et al., using a competitive RT-PCR technique, showed higher SSTR-2 expression to correlate well with patient survival [2, 20, 24, 28]. All of these studies focused mostly on SSTR-2. In our study, expressions of SSTR-1, 2, 3 and 4 tended to be higher in the surviving than in the deceased cases, based on semi-quantitative analyses of both IHC and qRT-PCR results. In the deceased cases, the expressions were limited to SSTR-1 and 2 only. These results suggest that the expressions of SSTR subtypes may serve as favorable prognostic markers. However, there is a discrepant result regarding the expression of SSTR-2 as compared with previous reports. In our study, SSTR-2 expression was well preserved in some of the deceased cases. In other words, while the expressions of SSTR subtypes are generally decreased in NB cases with poor outcomes, SSTR-2 expression seems to be preserved in some of these cases. Thus, NB patients in the unfavorable histology group might benefit from molecular targeting therapy using somatostatin analogues, though whether to use such treatment would have to be determined on a case by case basis. Somatostatin analogues have been used for acromegaly and certain endocrine tumors for more than two decades. In addition, molecular biological studies have revealed somatostatin analogues to exert antitumor activities in some neuroendocrine tumors. The antitumor activities of these somatostatin analogues include a direct anti-proliferative effect, that involves binding to the SSTRs of tumor cells, and also indirect anti-proliferative effects such as anti-angiogenesis [32]. Recently, peptide receptor radionuclide therapy, using radiolabeled somatostatin analogues, has been established for adult cases with neuroendocrine tumors expressing SSTRs. On the other hand, such treatments for childhood tumors with SSTR expression are still in the clinical trial stage [6, 10, 16]. Octreotide is a well-known representative somatostatin analogue, which has a high affinity for SSTRs, particularly SSTR-2. Against this background, most previous studies focused on SSTR-2, though new somatostatin analogues such as SOM230 with affinity for multiple SSTRs have been developed, and clinical trials using such agents are now underway [4, 33]. In this study, we demonstrated high expressions of SSTRs in NTs, particularly SSTR-1 and 2. High expressions of multiple SSTRs were shown to be present in well differentiated tumors associated with good patient outcomes. The patients with poor outcomes showed very limited SSTR expressions, though even in some of these cases the expression of SSTR-2 was rather high. Thus, the expressions of SSTRs can be used as prognostic markers, predicting a favorable outcome, and patients with NTs would seem to be good candidates for molecular targeting therapy using somatostatin analogues, even those in the unfavorable histology group with NBs expressing SSTRs.
  33 in total

Review 1.  Rationale for the use of somatostatin analogs as antitumor agents.

Authors:  C Susini; L Buscail
Journal:  Ann Oncol       Date:  2006-06-26       Impact factor: 32.976

2.  Somatostatin receptor type 2 gene expression in neuroblastoma, measured by competitive RT-PCR, is related to patient survival and to somatostatin receptor imaging by indium -111-pentetreotide.

Authors:  C Orlando; C C Raggi; L Bagnoni; R Sestini; V Briganti; G La Cava; G Bernini; G P Tonini; M Pazzagli; M Serio; M Maggi
Journal:  Med Pediatr Oncol       Date:  2001-01

3.  International neuroblastoma pathology classification for prognostic evaluation of patients with peripheral neuroblastic tumors: a report from the Children's Cancer Group.

Authors:  H Shimada; S Umehara; Y Monobe; Y Hachitanda; A Nakagawa; S Goto; R B Gerbing; D O Stram; J N Lukens; K K Matthay
Journal:  Cancer       Date:  2001-11-01       Impact factor: 6.860

4.  Terminology and morphologic criteria of neuroblastic tumors: recommendations by the International Neuroblastoma Pathology Committee.

Authors:  H Shimada; I M Ambros; L P Dehner; J Hata; V V Joshi; B Roald
Journal:  Cancer       Date:  1999-07-15       Impact factor: 6.860

5.  Comparing of IRS and Her2 as immunohistochemical scoring schemes in gastroenteropancreatic neuroendocrine tumors.

Authors:  Daniel Kaemmerer; Luisa Peter; Amelie Lupp; Stefan Schulz; Jörg Sänger; Richard Paul Baum; Vikas Prasad; Merten Hommann
Journal:  Int J Clin Exp Pathol       Date:  2012-03-25

6.  Phase I trial of 90Y-DOTATOC therapy in children and young adults with refractory solid tumors that express somatostatin receptors.

Authors:  Yusuf Menda; M Sue O'Dorisio; Simon Kao; Geetika Khanna; Stacy Michael; Mary Connolly; John Babich; Thomas O'Dorisio; David Bushnell; Mark Madsen
Journal:  J Nucl Med       Date:  2010-09-16       Impact factor: 10.057

Review 7.  Somatostatin receptor scintigraphy with [111In-DTPA-D-Phe1]- and [123I-Tyr3]-octreotide: the Rotterdam experience with more than 1000 patients.

Authors:  E P Krenning; D J Kwekkeboom; W H Bakker; W A Breeman; P P Kooij; H Y Oei; M van Hagen; P T Postema; M de Jong; J C Reubi
Journal:  Eur J Nucl Med       Date:  1993-08

8.  Neuroblastoma. Correlation of neuropeptide expression in tumor tissue with other prognostic factors.

Authors:  S J Qualman; M S O'Dorisio; D J Fleshman; H Shimada; T M O'Dorisio
Journal:  Cancer       Date:  1992-10-01       Impact factor: 6.860

9.  Characterization of somatostatin receptors on human neuroblastoma tumors.

Authors:  M S O'Dorisio; F Chen; T M O'Dorisio; D Wray; S J Qualman
Journal:  Cell Growth Differ       Date:  1994-01

10.  Immunocytochemical detection of somatostatin receptors sst1, sst2A, sst2B, and sst3 in paraffin-embedded breast cancer tissue using subtype-specific antibodies.

Authors:  S Schulz; S Schulz; J Schmitt; D Wiborny; H Schmidt; S Olbricht; W Weise; A Roessner; C Gramsch; V Höllt
Journal:  Clin Cancer Res       Date:  1998-09       Impact factor: 12.531

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  3 in total

1.  Roles of Ras Homolog A in Invasive Ductal Breast Carcinoma.

Authors:  Eriko Murakami; Yoko Nakanishi; Yukari Hirotani; Sumie Ohni; Xiaoyan Tang; Shinobu Masuda; Katsuhisa Enomoto; Kenichi Sakurai; Sadao Amano; Tsutomu Yamada; Norimichi Nemoto
Journal:  Acta Histochem Cytochem       Date:  2016-10-29       Impact factor: 1.938

Review 2.  Role of Somatostatin Signalling in Neuroendocrine Tumours.

Authors:  Olesja Rogoza; Kaspars Megnis; Marija Kudrjavceva; Aija Gerina-Berzina; Vita Rovite
Journal:  Int J Mol Sci       Date:  2022-01-27       Impact factor: 5.923

3.  An evaluation in vitro of the efficacy of nutlin-3 and topotecan in combination with 177Lu-DOTATATE for the treatment of neuroblastoma.

Authors:  Mathias Tesson; Richa Vasan; Andreas Hock; Colin Nixon; Colin Rae; Mark Gaze; Robert Mairs
Journal:  Oncotarget       Date:  2018-06-26
  3 in total

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