DEVOLUTION-A method for phylogenetic reconstruction of aneuploid cancers based on multiregional genotyping data

Phylogenetic reconstruction of cancer cell populations remains challenging. There is a particular lack of tools that deconvolve clones based on copy number aberration analyses of multiple tumor biopsies separated in time and space from the same patient. This has hampered investigations of tumors rich in aneuploidy but few point mutations, as in many childhood cancers and high-risk adult cancer. Here, we present DEVOLUTION, an algorithm for subclonal deconvolution followed by phylogenetic reconstruction from bulk genotyping data. It integrates copy number and sequencing information across multiple tumor regions throughout the inference process, provided that the mutated clone fraction for each mutation is known. We validate DEVOLUTION on data from 56 pediatric tumors comprising 253 tumor biopsies and show a robust performance on simulations of bulk genotyping data. We also benchmark DEVOLUTION to similar bioinformatic tools using an external dataset. DEVOLUTION holds the potential to facilitate insights into the development, progression, and response to treatment, particularly in tumors with high burden of chromosomal copy number alterations.

Replicating and identifying large cell neuroblastoma using high-dose intra-tumoral chemotherapy and automated digital analysis

PURPOSE

Large cell neuroblastomas (LCN) are frequently seen in recurrent, high-risk neuroblastoma but are rare in primary tumors. LCN, characterized by large nuclei with prominent nucleoli, predict a poor prognosis. We hypothesize that LCN can be created with high-dose intra-tumoral chemotherapy and identified by a digital analysis system.

METHODS

Orthotopic mouse xenografts were created using human neuroblastoma and treated with high-dose chemotherapy delivered locally via sustained-release silk platforms, inducing tumor remission. After recurrence, LCN populations were identified on H&E sections manually. Clusters of typical LCN and non-LCN cells were divided equally into training and test sets for digital analysis. Marker-controlled watershed segmentation was used to identify nuclei and characterize their features. Logistic regression was developed to distinguish LCN from non-LCN.

RESULTS

Image analysis identified 15,000 nuclei and characterized 70 nuclear features. A 19-feature model provided AUC >0.90 and 100% accuracy when >30% nuclei/cluster were predicted as LCN. Overall accuracy was 87%.

CONCLUSIONS

We recreated LCN using high-dose chemotherapy and developed an automated method for defining LCN histologically. Features in the model provide insight into LCN nuclear phenotypic changes that may be related to increased activity. This model could be adapted to identify LCN in human tumors and correlated with clinical outcomes.

Progress in treatment and risk stratification of neuroblastoma: impact on future clinical and basic research

Close international collaboration between pediatric oncologists has led to marked improvements in the cure of patients, seen as a long-term overall survival rate of about 80%. Despite this progress, neuroblastoma remains a challenging disease for both clinicians and researchers. Major clinical problems include lack of acceptable cure rates in high-risk neuroblastoma and potential overtreatment of subsets of patients at low and intermediate risk of the disease. Many years of intensive international cooperation have recently led to a promising joint effort to further improve risk classification for treatment stratification, the new International Neuroblastoma Risk Group Classification System. This approach will facilitate comparison of the results of clinical trials performed by different international collaborative groups. This, in turn, should accelerate refinement of risk stratification and thereby aid selection of appropriate therapies for individual patients. To be able to identify new therapeutic modalities, it will be necessary to elucidate the pathogenesis of the different subtypes of neuroblastoma. Basic and translational research have provided new tools for molecular characterization of blood and tumor samples including high-throughput technologies for analysis of DNA, mRNAs, microRNAs and other non-coding RNAs, as well as proteins and epigenetic markers. Most of these studies are array-based in design. In neuroblastoma research they aim to refine risk group stratification through incorporation of molecular tumor fingerprints and also to enable personalized treatment modalities by describing the underlying pathogenesis and aberrant signaling pathways in individual tumors. To make optimal use of these new technologies for the benefit of the patient, it is crucial to have a systematic and detailed documentation of both clinical and molecular data from diagnosis through treatment to follow-up. Close collaboration between clinicians and basic scientists will provide access to combined clinical and molecular data sets and will create more efficient steps in response to the remaining treatment challenges. This review describes the current efforts and trends in neuroblastoma research from a clinical perspective in order to highlight the urgent clinical problems we must address together with basic researchers.

[Correlation between typing of peripheral neuroblastic tumors and prognosis: a clinicopathologic study of 135 cases]

OBJECTIVE

To study the clinicopathologic characteristics of peripheral neuroblastic tumors and to investigate the prognostic significance of International Neuroblastoma Pathology Classification (INPC).

METHODS

One hundred and thirty-five cases of peripheral neuroblastic tumors encountered in Shanghai Children's Medical Center were enrolled into the study. All the cases were classified according to INPC and International Neuroblastoma Staging System (INSS). The follow-up data were analyzed.

RESULTS

The consensus diagnoses of the 135 cases were as follows: 80 cases (59.2%) of neuroblastoma, 24 cases (17.8%) of ganglioneuroblastoma, intermixed, 17 cases (12.6%) of ganglioneuroma and 14 cases (10.4%) of ganglioneuroblastoma, nodular. The cases were subdivided into 2 subgroups: favorable histology (number = 90, 66.7%) and unfavorable histology (number = 45, 33.3%). According to INSS, the number of cases in stages I, II, III and IV was 22 (16.3%), 24 (17.8%), 34 (25.2%) and 55 (40.7%), respectively. The survival of peripheral neuroblastic tumors correlated with histologic diagnosis, INPC and INSS (P < 0.05).

CONCLUSION

Diagnostic categorization of peripheral neuroblastic tumors according to INPC is of prognostic value.

[New international staging system and classification of risk groups in neuroblastoma]

Combinations of many different prognostic factors are used for correct qualification of neuroblastoma patients to the risk group and optimal choice of therapy. However, factors selected worldwide for this qualification are not uniform. The International Neuroblastoma Risk Group (INRG) was established to evaluate and select the most important prognostic factors in different forms of NBL as well as to create a system that allows evaluation of stage and risk group on the basis of pre-surgical imaging only, not requiring surgical resection and histopathological evaluation of lymph nodes, like in the International Neuroblastoma Staging System (INSS). Presurgical definition of risk groups facilitates the comparison of the results of studies let in different centers, also in patients observed without surgery and let further development of multicentre international studies. In the paper, the criteria of international classification to the risk groups depending on the presence of established risk factors are presented. Therapy should be individually selected for each specified group. The classification will be probably modified when the new prognostic criteria are discovered.

The International Neuroblastoma Risk Group (INRG) staging system: an INRG Task Force report

PURPOSE

The International Neuroblastoma Risk Group (INRG) classification system was developed to establish a consensus approach for pretreatment risk stratification. Because the International Neuroblastoma Staging System (INSS) is a postsurgical staging system, a new clinical staging system was required for the INRG pretreatment risk classification system.

METHODS

To stage patients before any treatment, the INRG Task Force, consisting of neuroblastoma experts from Australia/New Zealand, China, Europe, Japan, and North America, developed a new INRG staging system (INRGSS) based on clinical criteria and image-defined risk factors (IDRFs). To investigate the impact of IDRFs on outcome, survival analyses were performed on 661 European patients with INSS stages 1, 2, or 3 disease for whom IDRFs were known.

RESULTS

In the INGRSS, locoregional tumors are staged L1 or L2 based on the absence or presence of one or more of 20 IDRFs, respectively. Metastatic tumors are defined as stage M, except for stage MS, in which metastases are confined to the skin, liver, and/or bone marrow in children younger than 18 months of age. Within the 661-patient cohort, IDRFs were present (ie, stage L2) in 21% of patients with stage 1, 45% of patients with stage 2, and 94% of patients with stage 3 disease. Patients with INRGSS stage L2 disease had significantly lower 5-year event-free survival than those with INRGSS stage L1 disease (78% +/- 4% v 90% +/- 3%; P = .0010).

CONCLUSION

Use of the new staging (INRGSS) and risk classification (INRG) of neuroblastoma will greatly facilitate the comparison of risk-based clinical trials conducted in different regions of the world.

Estimation of diagnostic value of chosen markers of neural differentiation in neuroblastoma group of tumors and pPNETs

Neuroblastoma and peripheral PNETs both are typical examples of wide group of small round blue cell tumors of childhood. Matured neuroblastoma show typical clinical presentation and easy to interpret microscopic picture. Unfortunately in everyday practice much commonly appeared less differentiated neuroblastomas with difficult to predict clinical behavior and impossible to diagnose in routine stain histologic view. Peripheral PNETs are found as morphologically similar entities to some neuroblastoma subtypes but they are treated as separate CD99 positive group of tumors with different biology and clinical behavior. The aim of our study was to estimate the usefulness of neural markers expression (Neuroblastoma Marker, neurospecyfic enolase and neurofilaments) in routine separation between neuroblastoma tumors and pPNETs and between neuroblastoma subtypes according to currently used classification of those entities. We investigated 63 tumor tissue samples and found differences in expression of investigated markers between both neuroblastoma subgroups and neuroblastoma group of tumors and pPNETs.

ArrayCGH-based classification of neuroblastoma into genomic subgroups

High-resolution array comparative genomic hybridization (arrayCGH) profiling was performed on 75 primary tumors and 29 cell lines to gain further insight into the genetic heterogeneity of neuroblastoma and to refine genomic subclassification. Using a novel data-mining strategy, three major and two minor genomic subclasses were delineated. Eighty-three percent of tumors could be assigned to the three major genomic subclasses, corresponding to the three known clinically and biologically relevant subsets in neuroblastoma. The remaining subclasses represented (1) tumors with no/few copy number alterations or an atypical pattern of aberrations and (2) tumors with 11q13 amplification. Inspection of individual arrayCGH profiles showed that recurrent genomic imbalances were not exclusively associated with a specific subclass. Of particular notice were tumors with numerical imbalances typically observed in subtype 1 neuroblastoma, in association with genomic features of subtype 2A or 2B. A search for prognostically relevant genomic alterations disclosed 1q gain as a predictive marker for therapy failure within the group of subtype 2A and 2B tumors. In cell lines, a high incidence of 6q loss was observed, with a 3.87-5.32 Mb region of common loss within 6q25.1-6q25.2. Our study clearly illustrates the importance of genomic profiling in relation to tumor behavior in neuroblastoma. We propose that genome-wide assessment of copy number alterations should ideally be included in the genetic workup of neuroblastoma. Further multicentric studies on large tumor series are warranted in order to improve therapeutic stratification in conjunction with other features such as age at diagnosis, tumor stage, and gene expression signatures.

Pathology of peripheral neuroblastic tumors: significance of prominent nucleoli in undifferentiated/poorly differentiated neuroblastoma

The presence of large cells having simultaneously increased cytoplasmic and nuclear volume accompanied by prominent nucleoli; i.e., differentiating neuroblasts and ganglion cells, is well documented in peripheral neuroblastic tumors (pNTs), and considered as one of the signs of tumor maturation and an indication of a better prognosis of the patients. On the other hand, in 2004 it was reported that large-cell neuroblastoma composed of neuroblastic cells with only nuclear enlargement without recognizable cytoplasmic maturation behaved poorly clinically. Here we are proposing a new pNT subtype in the neuroblastoma category, in addition to the undifferentiated, poorly differentiated and differentiating subtypes: that is large nucleolar neuroblastoma (LNN) characterized by large prominent nucleoli and no or very little amount of discernible cytoplasm. LNN, whose neuroblastic cells are often large in size due to nuclear enlargement, includes those tumors previously categorized into the large-cell neuroblastoma group. LNN tumors, regardless of the size of nuclei, seem to behave aggressively with a very poor prognosis of the patients. It is speculated that nucleolar enlargement without cytoplasmic maturation in LNN tumor cells can be a sign of MYCN amplification.

Computerized pathological image analysis for neuroblastoma prognosis

We present a pathological image analysis system for the computer-aided prognosis of neuroblastoma, a childhood cancer. The image analysis system automatically classifies Schwannian stromal development of pathological tissues and determines the grade of differentiation. Due to the demanding computational cost of processing large digitized slides, the system was implemented on a cluster of computers with automated load balancing within a multi-resolution framework. In our experiments, the overall accuracies for stromal classification and the grade of differentiation were 96.6% and 95.3%, respectively. Additionally, the multi-resolution framework reduced the run time of the single resolution approach by 53% and 34% on average for stromal classification and grade of differentiation, respectively. For these two cases, parallelization on a 16-node cluster reduced the sequential run time by 92% and 88% on average. Accuracy and efficiency of these techniques are promising for the development a computer-assisted neuroblastoma prognosis system.

Novel risk stratification of patients with neuroblastoma by genomic signature, which is independent of molecular signature

Human neuroblastoma remains enigmatic because it often shows spontaneous regression and aggressive growth. The prognosis of advanced stage of sporadic neuroblastomas is still poor. Here, we investigated whether genomic and molecular signatures could categorize new therapeutic risk groups in primary neuroblastomas. We conducted microarray-based comparative genomic hybridization (array-CGH) with a DNA chip carrying 2464 BAC clones to examine genomic aberrations of 236 neuroblastomas and used in-house cDNA microarrays for gene-expression profiling. Array-CGH demonstrated three major genomic groups of chromosomal aberrations: silent (GGS), partial gains and/or losses (GGP) and whole gains and/or losses (GGW), which well corresponded with the patterns of chromosome 17 abnormalities. They were further classified into subgroups with different outcomes. In 112 sporadic neuroblastomas, MYCN amplification was frequent in GGS (22%) and GGP (53%) and caused serious outcomes in patients. Sporadic tumors with a single copy of MYCN showed the 5-year cumulative survival rates of 89% in GGS, 53% in GGP and 85% in GGW. Molecular signatures also segregated patients into the favorable and unfavorable prognosis groups (P=0.001). Both univariate and multivariate analyses revealed that genomic and molecular signatures were mutually independent, powerful prognostic indicators. Thus, combined genomic and molecular signatures may categorize novel risk groups and confer new clues for allowing tailored or even individualized medicine to patients with neuroblastoma.

A case of composite neuroblastoma composed of histologically and biologically distinct clones

We report a case of a 12-month-old girl with stage 3 neuroblastoma composed of 2 distinct clones in the adrenal primary tumor. One clone showed neuroblastoma, poorly differentiated subtype with a low mitosis-karyorrhexis index (favorable histology), and the other was neuroblastoma, poorly differentiated subtype with a high mitosis-karyorrhexis index (unfavorable histology), according to the International Neuroblastoma Pathology Classification. Fluorescent-labeled in-situ hybridization using the formalin-fixed, paraffin-embedded material showed that the MYCN oncogene was amplified in the latter clone but not in the former clone. Lymph nodes from ipsilateral and contralateral sides contained metastatic neuroblastoma of the latter clone. It is well documented that tumors in the Ganglioneuroblastoma, nodular (composite, Schwannian stroma-rich/stroma-dominant and stroma-poor) category are composite and composed of multiple clones. To our knowledge, however, this is the 1st case report of composite tumor with biologically favorable and unfavorable clones in the Neuroblastoma (Schwannian stroma-poor) category.

Correlation of modified Shimada classification with MYCN and 1p36 status detected by fluorescence in situ hybridization in neuroblastoma

Neuroblastoma (NB) is a childhood cancer derived from neural crest cells, with a highly variable clinical course and biologic behavior. NB cells harbor complex genetic changes. Also, MYCN amplification is a well-known molecular marker for aggressive progression, and deletion of the short arm of chromosome 1 is frequently observed in NB. The aim of this study was to investigate the correlation between genetic markers and prognostic morphological parameters to address the biology and underlying the clinical complexity of NB. Therefore, we performed fluorescence in situ hybridization analyses of chromosome band 1p36 and MYCN in a series of tumors from 43 cases classified according to the recommendation of International Neuroblastoma Pathology Committee (modification of Shimada classification). The correlations of MYCN amplification status and two distinct types of 1p36 alterations (deletion and imbalance) with Shimada classification and histologic prognostic factors were statistically analyzed. Amplification of MYCN and 1p36 deletion was present in 14 (32.6%) and 18 (41.9%) cases, respectively. Sixteen cases (37.2%) displayed a favorable histology, while 27 (62.8%) had an unfavorable histology. The 1p36 deletion was found to be an independent predictor of unfavorable histology by multivariate analysis (logistic regression test, P = 0.03), but the 1p36 imbalance did not show any significance. Both 1p36 deletion and MYCN amplification showed significant correlation with undifferentiated tumors (chi-square test, P = 0.002 and 0.03, respectively). Highly significant correlation was found between the higher mitotic karyorrhectic index (MKI) and MYCN amplification (chi-square test, P < 0.001), whereas neither 1p36 deletion nor 1p36 imbalance significantly correlated with a higher MKI (chi-square test, P > 0.05). We conclude that 1p36 deletion may be a reliable parameter in determining unfavorable histology and predicting prognosis in NB. Further studies with prognostic data are needed to highlight its clinical significance.

[Neuroblastoma trial to overcome a rare malignant disease]

Neuroblastoma is one of the main causes of children's deaths in Japan and many developed countries, although it is a rather rare pediatric cancer. Many clinical studies have been carried out and reported. The clinical study system of Japan is much different from the systems of the other countries. In Japan, the main hospitals, where clinical study including clinical trials have been conducted, are not only national centers but also many regional or prefectural centers. Progression-free survival has been achieved in over 80% of low-risk patients,and in about 40% of high-risk patients. These are the same as the outcomes of neuroblastoma patients in European countries and North America. Further clinical studies and translational research should be planned especially regarding high-risk neuroblastomas.

Classification of neuroblastoma patients by published gene-expression markers reveals a low sensitivity for unfavorable courses of MYCN non-amplified disease

Currently, Pubmed lists 385 marker genes for neuroblastoma outcome. Using a customized neuroblastoma-microarray, we evaluated the prognostic impact of the gene-expression pattern of 349 of these candidates (90.6%) in 127 neuroblastoma patients with divergent outcome. By significance analysis of microarrays (SAM) and both uncorrected and Bonferroni-corrected ANOVA, 166/349 (47.5%), 218/349 (62.5%) and 128/349 (36.4%) candidates showed significant differential expression between patients with contrasting outcome. By Prediction Analysis for Microarrays (PAM), a 38-gene-classifier was derived from all markers, which classified patients outcome with an overall accuracy of 78.5%. However, patients with unfavorable outcome of MYCN non-amplified disease were largely misclassified (accuracy: 35%), suggesting that these courses are not identified by current marker genes.

Prognostic value of the International Neuroblastoma Pathology Classification in Neuroblastoma (Schwannian stroma-poor) and comparison with other prognostic factors: a study of 182 cases from the Spanish Neuroblastoma Registry

In addition to clinical and biological factors, further valuable prognostic information in neuroblastoma (Schwannian stroma-poor) (NB) patients is provided by the histopathologic analysis and the application of the International Neuroblastoma Pathology Classification (INPC) system. The objective of this study was to assess the prognostic impact of the INPC classification in a series of NB (Schwannian stroma-poor) and its relation with other prognostic factors. One hundred eighty-two cases of NB were collected from the files of the Spanish Neuroblastoma Registry. Slides were reviewed, and NB cases were grouped into favorable and unfavorable categories according to INPC criteria, taking into account morphological features (mitosis-karyorrhexis index, histological subtype) and patient's age at diagnosis. Other pathological [presence of calcifications, tissular components, and number of mitotic cells per 10 high-power field (HPF)], immunohistochemical (P-glycoprotein and Ki-67 protein expression) and genetic (MYCN amplification and chromosome 1p deletion) features were also studied. Statistical analyses of overall survival with Kaplan-Meier curves and a multivariate study using Cox regression were performed (40.3% of NBs were considered favorable and 59.7% unfavorable). Unfavorable NB showed a mean survival time of 57 months compared with 89 months in favorable cases. Advanced stage, more than ten mitoses per 10 HPF, Ki-67 expression in more than 30% of tumor cells, MYCN oncogene amplification and chromosome 1p deletion were observed more frequently in unfavorable NB. The Cox regression analysis demonstrated that clinical stage (International Neuroblastoma Staging System stage 4) and histological subtype (undifferentiated NB) were the most important factors that influence the overall survival (p<0.001). INPC classification results are major prognostic indicators in NB and should be considered in the therapeutic stratification of NB patients.

Integrative genomics identifies distinct molecular classes of neuroblastoma and shows that multiple genes are targeted by regional alterations in DNA copy number

Neuroblastoma is remarkable for its clinical heterogeneity and is characterized by genomic alterations that are strongly correlated with tumor behavior. The specific genes that influence neuroblastoma biology and are targeted by genomic alterations remain largely unknown. We quantified mRNA expression in a highly annotated series of 101 prospectively collected diagnostic neuroblastoma primary tumors using an oligonucleotide-based microarray. Genomic copy number status at the prognostically relevant loci 1p36, 2p24 (MYCN), 11q23, and 17q23 was determined by PCR and was aberrant in 26, 20, 40, and 38 cases, respectively. In addition, 72 diagnostic neuroblastoma primary tumors assayed in a different laboratory were used as an independent validation set. Unsupervised hierarchical clustering showed that gene expression was highly correlated with genomic alterations and clinical markers of tumor behavior. The vast majority of samples with MYCN amplification and 1p36 loss of heterozygosity (LOH) clustered together on a terminal node of the sample dendrogram, whereas the majority of samples with 11q deletion clustered separately and both of these were largely distinct from the copy number neutral group of tumors. Genes involved in neurodevelopment were broadly overrepresented in the more benign tumors, whereas genes involved in RNA processing and cellular proliferation were highly represented in the most malignant cases. By combining transcriptomic and genomic data, we showed that LOH at 1p and 11q was associated with significantly decreased expression of 122 (61%) and 88 (27%) of the genes mapping to 1p35-36 and all of 11q, respectively, suggesting that multiple genes may be targeted by LOH events. A total of 71 of the 1p35-36 genes were also differentially expressed in the independent validation data set, providing a prioritized list of candidate neuroblastoma suppressor genes. Taken together, these data are consistent with the hypotheses that the neuroblastoma transcriptome is a sensitive marker of underlying tumor biology and that chromosomal deletion events in this cancer likely target multiple genes through alteration in mRNA dosage. Lead positional candidates for neuroblastoma suppressor genes can be inferred from these data, but the potential multiplicity of transcripts involved has significant implications for ongoing gene discovery strategies.

Proteomic Analysis of Neuroblastoma Subtypes in Response to Mitogen-Activated Protein Kinase Inhibition: Profiling Multiple Targets of Cancer Kinase Signaling

INTRODUCTION

Survival for high-risk neuroblastoma (NB) remains poor despite aggressive therapy. Novel therapies are vital for improving prognosis. We previously showed differential NB subtype sensitivity to p42/44 mitogen-activated protein kinase (ERK/MAPK) pathway inhibition. In this study, we investigated proteomic changes associated with resistance or sensitivity to MAPK kinase (MEK) inhibition in NB subtypes.

MATERIALS AND METHODS

SH-SY5Y (N-type), BE(2)-C (I-type), and SK-N-AS (S-type) were treated with MEK inhibitor U0126 (10 microM) for 1 and 24 h. Proteins were extracted from untreated and treated cells and analyzed for differential expression by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). Selected polypeptides were extracted from the gel and identified by liquid chromatography-linked tandem mass spectrometry (LC-MS/MS).

RESULTS

We identified 15 proteins that were decreased by 2.5-fold between untreated and 1 h treated cells and subsequently up-regulated 5-fold after 24 h drug treatment. N-type NB (MEK-resistant) showed the least altered proteomic profile whereas the I-type (MEK-sensitive) and S-type NB (MEK-intermediate) generated significant protein changes. The majority of proteins identified were induced by stress.

CONCLUSIONS

Protein differences exist between MEK inhibitor-treated NB subtypes. Identified polypeptides all have roles in mediating cellular stress. These data suggest that inhibition of the ERK/MAPK in NB subtypes leads to an intracellular stress response. The most resistant NB cell line to MEK inhibitor treatment generated the least protective protein profile, whereas the intermediate and most sensitive NB cells produced the most stress response. These findings suggest stress related protein expression may be targeted in assessing a response to ERK/MAPK therapeutics.

Mature neuroblastic tumors with spinal cord compression: report of five pediatric cases

BACKGROUND

Neuroblastic tumors cause spinal cord compression when they arise primarily in the spinal canal or invade it through the radicular foramen. Whereas neuroblastomas (NB) are relatively common and are generally treated with chemotherapy, mature neuroblastic tumors (MNT), which include intermixed ganglioneuroblastomas (iGNB) and ganglioneuromas (GN), are less common and the role of surgery is more prominent. Because MNT are rare and have been separated only recently from NB, their clinical and radiological features as well as the role of surgery are poorly defined.

MATERIALS AND METHODS

In order to increase our knowledge on MNT, we reviewed our database for cases operated for spinal cord compression in our department since the introduction of magnetic resonance imaging (MRI). We treated four cases of NB and one case of iGNB presenting primarily with spinal cord compression.

REPORT OF CASES

MNT represented 10% of spinal tumors and 1.6% of all tumors of the nervous system in our pediatric neurosurgical practice. The neurological and oncological outcomes were generally favorable after surgical resection, followed by orthotic treatment. In one case with neurofibromatosis type 1, the tumor was inoperable and the child died of tumor progression several years later.

CONCLUSION

GN, and some iGNB, are chemo-insensitive and can only be cured by surgical removal. Surgery is an emergency in case of rapidly progressing paraplegia and can be challenging because the tumor is often hard and hemorrhagic. In case of subtotal removal, tumor remnants can stay stable without oncological treatment.

International neuroblastoma pathology classification adds independent prognostic information beyond the prognostic contribution of age

Age has been used as a prognostic factor for patients with peripheral neuroblastic tumours (pNTs). The latest analysis disclosed a cut-off around 18 months for the optimal prognostic distinction. The International Neuroblastoma Pathology Classification (INPC) distinguishes favourable and unfavourable histology based on the age-appropriate evaluation of histologic indicators (grade of neuroblastic differentiation, mitosis-karyorrhexis index) in the categories of neuroblastoma and ganglioneuroblastoma, nodular. This study showed that age tested by using 3 different cut-offs (12, 18, 24 months) was prognostically significant. INPC remained prognostically significant regardless of the age group to which it was applied. Prognostic effects of age and histologic indicators were independently significant, i.e., age had prognostic ability beyond that of histologic indicators, and histologic indicators had prognostic ability beyond that of age. Due to the fact that INPC incorporated age factor (18, 60 months) in the system, it served better than age by itself for prognostic distinction of pNT patients.

Biology of neuroblastomas that were found by mass screening at 6 months of age in Japan

BACKGROUND

Mass screening (MS) of neuroblastoma has been carried out by measuring the urinary catecholamine metabolites in infants at the age of 6 months in Japan. We assessed the incidence of neuroblastoma that may be a target for MS by studying tumor biology.

PROCEDURE

FISH on chromosome 1 and MYCN analysis was performed on 453 patients that were classified into three clinical groups (287 infants found by MS, 51 infants < 12 months diagnosed clinically, and 115 children >or=12 months diagnosed clinically). The relationship between the biological types of tumors and the clinical outcome was examined.

RESULTS

Type 1 (trisomy 1 and normal MYCN), type 2 (disomy 1/tetrasomy 1 and normal MYCN), and type 3 (disomy 1/tetrasomy 1 and amplified MYCN) tumors were found in 88.2%, 10.5%, and 1.4% of infants found by MS, in 68.0%, 24.0%, and 8.0% of infants diagnosed clinically, and in 23.4%, 42.3%, and 34.2% of children diagnosed clinically (P < 0.001). Infants with type 1 tumors found by MS or diagnosed clinically had earlier stages of the disease (P < 0.0001 and P = 0.0005) and better overall survival (P < 0.001 and P = 0.005) than children with type 1 tumors diagnosed clinically. Infants with type 2 tumors found by MS, had earlier stages (P = 0.06 and P < 0.0001) and better overall survival (P = 0.014 and P < 0.001) than infants or children with type 2 tumors diagnosed clinically. All three clinical groups of patients with type 3 tumors had advanced stages and dismal prognoses.

CONCLUSIONS

About 12% of tumors found by MS showed unfavorable biological (types 2 and 3) characteristics.

Prognostic Value of International Neuroblastoma Pathology Classification in Localized Resectable Peripheral Neuroblastic Tumors: A Histopathologic Study of Localized Neuroblastoma European Study Group 94.01 Trial and Protocol

Purpose

To assess the prognostic value of clinical, biologic, and morphologic data in peripheral neuroblastic tumors, International Neuroblastoma Staging System (INSS) stages 2A and 2B MYCN nonamplified, a multinational protocol entitled Localized Neuroblastoma European Study Group trial 94.01, with a trial of surgery as the only treatment, was initiated in 1995. We present the prognostic value of the revised International Neuroblastoma Pathology Classification (INPC) applied to the patients included in this protocol until its closure in 1999.

Materials and Methods

A total of 120 neuroblastic tumors from trial patients were reviewed by the European International Society of Pediatric Oncology neuroblastoma pathology panel and assigned to a favorable or unfavorable prognostic category according to the INPC guidelines. Overall survival and relapse-free survival (RFS) were estimated by the Kaplan-Meier method and compared by the log-rank test.

Results

A total of 115 of 120 patients were assessable and were assigned to the favorable (90 patients; 78.3%) or unfavorable (25 patients; 21.7%) category. The 60-month survival rate was 97.7% in favorable patients compared with 73.8% in unfavorable patients (P = .0002). RFS analysis showed a 60-month relapse rate of 13.4% and 32% in favorable and unfavorable patients (P < .025), respectively. Statistical analysis demonstrated a significant association of unfavorable INPC category and high lactate dehydrogenase level (P < .045).

Conclusion

This European study shows for the first time that the INPC prognostic categorization has a significant impact on outcome prediction in INSS stage 2 localized peripheral neuroblastic tumors.

Distinct CpG methylation profiles characterize different clinical groups of neuroblastic tumors

The hypermethylation of CpG islands within gene promoter regions is an epigenetic phenomenon that is often, but not always, associated with the transcriptional silencing of downstream genes and contributes to carcinogenesis. We have determined the pattern of methylation of several genes involved in distinct biological pathways, including cell proliferation and apoptosis, in neuroblastoma and in the nonmalignant ganglioneuroma. The purpose of this work was to search for epigenetic signatures that could be associated with defined clinical and biological parameters and that, in prospective, could identify specific risk categories among the patients. We have analysed 31 malignant neuroblastoma with or without MYCN amplification and 13 benign ganglioneuroma and we have observed dramatic differences in the methylation pattern of five genes (CASP8, 14.3.3sigma, DeltaN-p73, RASSF1A and DCR2) between these tumors indicating that this phenomenon is not tissue-specific and can be considered as cancer-dependent. Furthermore, the methylation pattern of 14.3.3sigma, RASSF1A and of an intragenic segment of CASP8 was significantly different between MYCN amplified and single copy neuroblastoma suggesting a specific role of epigenetic alterations in aggressive neuroblastoma.

[Peripheral neuroblastic tumors: anatomo pathological classification]

Peripheral Neuroblastic Tumors are classified according to the recommendations of the INPC into four categories and their subtypes: 1/Neuroblastoma stroma poor, undifferentiated, poorly differentiated, and differentiating, 2/ganglioneuroblastoma stroma composite, nodular, 3/ganglioneuroblastoma stroma composite, intermixed and 4/ganglioneuromas stroma dominant, maturing and mature. The classification is based on age and morphologic features of PNT, including the differentiation grade of the neuroblasts and the mitosis-karyorrhexis index. Histopathological classification has prognostic impact in predicting overall and event-free survival allowing the categorisation of PNT into two groups: favorable subset and unfavorable subset.

Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas

To predict the prognosis of neuroblastoma patients and choose a better therapeutic protocol, we developed a cDNA microarray carrying 5340 genes obtained from primary neuroblastomas and examined 136 tumor samples. We made a probabilistic output statistical classifier that provided a high accuracy in prognosis prediction (89% at 5 years) and a highly reliable method to validate it. Kaplan-Meier analysis indicated that the patients in an intermediate group defined by existing markers are divided by microarray into two further groups with 5 year survivals for 36% and 89% of patients (p < 10(-4)), i.e., with unfavorably and favorably predicted neuroblastomas, respectively. According to these results, we developed a gene subset chip for a clinical tool, for which our classifier exhibited 88% prediction accuracy.

The biologic basis for neuroblastoma heterogeneity and risk stratification

PURPOSE OF REVIEW

Neuroblastoma serves as the paradigm for the clinical utility of tumor-specific biologic data for prognostication. This review will describe the genetic and biologic basis for the diverse clinical phenotypes observed in neuroblastoma patients. It will also discuss the current approach to risk classification and how this may change in the future.

RECENT FINDINGS

The biologic basis of neuroblastoma has come into clearer focus. PHOX2B is the first bona fide neuroblastoma predisposition gene identified, but is mutated in only a small subset of cases. Somatically acquired alterations at chromosome arms 3p and 11q are highly correlated with acquisition of metastases in the absence of MYCN amplification and may be useful as prognostic markers. The Children's Oncology Group risk classification system has been validated, with current emphasis on further refinement such as reevaluation of the age cutoff used to stratify therapy, and incorporation of additional molecular genetic markers is being studied prospectively. High-throughput genome scale analyses of neuroblastomas are further clarifying the genetic basis of this heterogeneous disease.

SUMMARY

Neuroblastoma remains a significant challenge as high-risk patients are treated with intensive multimodal therapies but cure rates remain suboptimal. There is remarkable heterogeneity observed in tumor phenotype, ranging from spontaneous regression to relentless progression. There are literally dozens of clinical and biologic markers that have been proposed as being predictive of disease outcome, but large clinical correlative studies are sharpening the focus of which markers can be used by the clinician to optimize therapy for an individual patient.

Study of proteomic changes associated with healthy and tumoral murine samples in neuroblastoma by principal component analysis and classification methods

BACKGROUND

The adrenal gland is the election organ forming primary neuroblastoma (NB) tumours, the most common extracranial solid tumours of infancy and childhood.

METHODS

Samples of adrenal gland belonging to healthy and diseased nude mouse were analysed by 2D gel-electrophoresis. The resulting 2D-PAGE maps were digitized by PDQuest and investigated by principal component analysis (PCA).

RESULTS

The analysis of the loadings of the first principal component (PC) permitted the evaluation of the spots characterising each class of samples. Moreover, the soft-independent model of class analogy (SIMCA) method confirmed the separation of the samples in the two classes and allowed the identification of the modelling and discriminating spots. Very good correlation was found between the data obtained by analysis of 2D maps via the commercial software PDQuest and the present PCA analysis. In both cases, the comparison between such maps showed up- and down-regulation of 84 polypeptide chains, out of a total of 700 spots detected by a fluorescent stain, Sypro Ruby. Spots that were differentially expressed between the two groups were analysed by matrix-assisted laser desorption time-of-flight (MALDI-TOF) mass spectrometry and 14 of these spots were identified so far.

Cytopathologie des tumeurs malignes du blastème

Since almost all childhood blastematous tumors belong to the group of non hematological small round cell tumors we describe here the cytopathological aspects of the most frequent of these neoplasms i.e. neuroblastoma, nephroblastoma, rhabdomyosarcoma, peripheral neuroectodermic tumors, and emphasize the role of molecular techniques applicable to cytological material obtained from fine-needle aspiration to help the pediatrician in tailoring therapy.

Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models

High-throughput DNA microarray provides an effective approach to the monitoring of expression levels of thousands of genes in a sample simultaneously. One promising application of this technology is the molecular diagnostics of cancer, e.g. to distinguish normal tissue from tumor or to classify tumors into different types or subtypes. One problem arising from the use of microarray data is how to analyze the high-dimensional gene expression data, typically with thousands of variables (genes) and much fewer observations (samples). There is a need to develop reliable classification methods to make full use of microarray data and to evaluate accurately the predictive ability and reliability of such derived models. In this paper, discriminant partial least squares was used to classify the different types of human tumors using four microarray datasets and showed good prediction performance. Four different cross-validation procedures (leave-one-out versus leave-half-out; incomplete versus full) were used to evaluate the classification model. Our results indicate that discriminant partial least squares using leave-half-out cross-validation provides a more realistic estimate of the predictive ability of a classification model, which may be overestimated by some of the cross-validation procedures, and the information obtained from different cross-validation procedures can be used to evaluate the reliability of the classification model.

Primitive neuroectodermal tumor of the gallbladder

Ewing sarcoma/primitive neuroectodermal tumor (ES/ PNET) most commonly occurs in the soft tissues of the extremities and the paravertebral areas. To our knowledge, no case of PNET has been reported in the gallbladder to date. We report a case of PNET of the gallbladder occurring in a 53-year-old woman. Microscopically, the monotonous small round cells with a formation of Homer-Wright rosettes showed intense membranous positive immunoreactivity for MIC2/CD99, as well as for neuron-specific enolase and synaptophysin. Other small round cell tumors, such as lymphoma, rhabdomyosarcoma, or melanoma, were excluded in light of negative immunoreactivity for leukocyte common antigen, desmin, and S100. The diagnosis of PNET was rendered based on the characteristic morphology and immunohistochemical findings, despite an absence of chromosomal translocations, such as t(11; 22)(q24;q12) and t(21;22)(q22;q12).

Role of iodine-131 MIBG scanning in the management of paediatric patients with neuroblastoma

OBJECTIVES

To evaluate the role of iodine-131 metoiodobenzylguanidine (iodine-131 MIBG) scanning in the management of paediatric patients with neuroblastoma.

SUBJECTS AND METHODS

Forty-three iodine-131 MIBG scans were performed on 26 children, 18 male and 8 female, ranging in age from 8 months to 11 years. Bone scan, computed tomography (CT) images and findings of bone marrow biopsy were compared with the iodine-131 MIBG scan findings.

RESULTS

Of the 26 patients, 18 (69%) showed abnormal iodine-131 MIBG avidity and were proven to have a neural crest tumour on histology. The remaining 8 (31%) patients had normal iodine-131 MIBG scans, and histology showed a malignancy other than a neural crest tumour. Iodine-131 MIBG scans showed the primary site in 16 of 17 patients while CT showed 14 primary sites. In follow-up studies, the results were as follows: iodine-131 MIBG showed no evidence of disease in 4 compared with 3 on CT, persistent disease in 2 on iodine-131 MIBG and 4 on CT; recurrence in 1 on iodine-131 MIBG and 0 on CT; MIBG scans detected double the number of bony lesions compared with bone scans. The findings on iodine-131 MIBG scans and bone marrow biopsy were in agreement in 16/18 cases. Patients in whom iodine-131 MIBG scans showed disease resolution had better clinical outcomes.

CONCLUSION

The findings indicate that iodine-131 MIBG scanning is useful for the diagnosis, staging, evaluation of response to therapy and detection of recurrences in patients with neuroblastoma. It exhibited a clear advantage over CT in detecting the primary site and soft issue metastases and was also superior to bone scanning in detecting skeletal metastases. It also reliably demonstrated bone marrow involvement.

The PAX5 oncogene is expressed in N-type neuroblastoma cells and increases tumorigenicity of a S-type cell line

Neuroblastoma is a neural crest-derived neoplasm of infancy with poor outcome in patients with advanced disease. The oncogenic transcription factor PAX5 is an important developmental regulator and is implicated in the pathogenesis of several malignancies. Screening of neuroblastoma cell lines revealed PAX5 expression in a malignant subset of neuroblastoma cells, so-called 'N-type' cells, but not in the more benign 'S-type' neuroblastoma cells. PAX5 expression was also detected in small cell lung cancer, an aggressive tumor of neural crest origin. Based on this observation we hypothesized that there could be a relationship between PAX5 expression and the more malignant phenotype of N-type cells. Stable PAX5 expression was established in several clones of the S-type cell line CA-2E. A noticeable difference in morphology of these transfectants was observed and there was also a significant increase in the proliferation rate. Moreover, PAX5 expressing clones gained the ability to form colonies in a soft agar assay, a marker of tumorigenicity. Down-regulation of PAX5 in several N-type cell lines and one small cell lung cancer cell line utilizing small interfering RNA resulted in a significant decrease in growth rate. Taken together we propose PAX5 as an important factor for the maintenance of the proliferative and tumorigenic phenotype of neuroblastoma. Our data, together with a recent study on the role of PAX genes in cancer suggest that PAX5 and other PAX transcription factors might be valuable targets for cancer therapy.

Large cell neuroblastoma: a distinct phenotype of neuroblastoma with aggressive clinical behavior

BACKGROUND

Among cases of undifferentiated and poorly differentiated tumors in the neuroblastoma (Schwannian stroma-poor) category, the authors histologically identified a group of rare tumors, known as large cell neuroblastomas (LCNs), that are composed of large cells with sharply outlined nuclear membranes and 1-4 prominent nucleoli.

METHODS

Histologic and immunohistochemical features of LCN were characterized. Morphologic characteristics, clinical features, and MYCN status were compared between LCNs and conventional neuroblastomas documented in the files of two European centers (the Sir James Spence Institute of Child Health, Royal Victoria Infirmary, University of Newcastle, Newcastle upon Tyne, United Kingdom, and the Medical and Health Sciences Center, University of Pécs, Pécs, Hungary).

RESULTS

Of 92 peripheral neuroblastic tumors (pNTs; including neuroblastoma [n = 81]; ganglioneuroblastoma, intermixed [n = 6]; and ganglioneuroblastoma, nodular [n = 5]), 7 (7.6%) qualified as LCN. All 7 LCNs were classified as having unfavorable histology (UH) according to the International Neuroblastoma Pathology Classification. The LCNs were composed of monomorphous undifferentiated neuroblasts and shared certain histologic features, such as a high incidence of high mitosis-karyorrhexis index and a low incidence of calcification, with other neuroblastomas in the conventional UH (c-UH) group. These features were significantly different from those of neuroblastomas in the conventional favorable histology (c-FH) group. On immunohistochemical analysis, LCN tumor cells were positive for neuron-specific enolase (5 of 5 cases), protein gene product 9.5 (5 of 5 cases), synaptophysin (5 of 5 cases), tyrosine hydroxylase (focally in 3 of 3 cases), and NB84 (3 of 5 cases) and negative for CD99. Patients with LCN and patients with c-UH disease had similar clinical features (diagnosis at age > 1 year, often with distant metastasis). The clinical features of these patients also were significantly different from those of patients with c-FH disease. Further analysis demonstrated that the LCN group was significantly different from both the c-UH and c-FH groups with respect to MYCN status (MYCN amplification, 4 of 5 vs. 3 of 17 vs. 8 of 17, respectively; P = 0.023) and survival rate (4-year expected survival, 0% vs. 71% vs. 17%, respectively; P < 0.01).

CONCLUSIONS

Because of its unique clinicopathologic features, the authors propose that LCN be recognized as a distinct entity within the undifferentiated and poorly differentiated subtypes of the neuroblastoma category.

Expression of the c-kit receptor characterizes a subset of neuroblastomas with favorable prognosis

Expression of the c-kit proto-oncogene product in neuroblastomas has been reported, but its clinical relevance is unclear. We determined the expression of c-kit by immunohistochemistry in a series of 155 neuroblastomas with long-term follow-up. The specificity of the reaction was verified by Western blot analysis and quantitative RT-PCR, and exon 11 of the kit gene was screened for mutations by PCR and capillary electrophoresis. No mutations were detected, and transcription of the kit gene correlated with protein expression. c-kit expression was associated with lower tumor stages and a low rate of MYCN amplification. More importantly, it coincided with tumor differentiation (P<0.0001), and portended a favorable outcome with a relative risk of 0.18 (P<0.0001). In a multivariate analysis of event-free survival, loss of c-kit (relative risk 4.25, P<0.0001) was an independent prognostic factor next to INSS stage 4 and before MYCN amplification. It is concluded that c-kit is transcriptionally regulated in neuroblastomas. Its expression likely identifies a subset of neuroblastomas with conserved capacity for differentiation, which may represent the embryonal variety of the disease. Assessment of c-kit may improve prognostic models for neuroblastoma and provide a basis for new therapy concepts.

Expression profiling of favorable and unfavorable neuroblastomas

Neuroblastomas show remarkable biological heterogeneity, resulting in favorable or unfavorable outcomes. To survey the differences in gene expression profiles between favorable and unfavorable neuroblastomas, we analyzed ten favorable neuroblastoma samples from patients whose tumors consequently regressed or matured and ten unfavorable tumor samples from patients who consequently died of disease using the microarray technique. In each sample, total RNA was labeled with Cy3 or Cy5 in reverse-trancriptase reaction and hybridized with our original microarray prepared with a cDNA library of human fetal brain. Microarray analysis revealed that 43 genes, including MYCN, hTERT, NME1 and cell cycle regulatory protein-coding genes, were highly expressed in unfavorable neuroblastomas, while another 80 genes were detected as highly expressed in favorable tumors, including neuronal differentiating genes and apoptotic inducing genes. Among favorable neuroblastoma samples, highly expressing genes in regressing tumors were different from those in maturing tumors. Expression profiling data revealed the existence of up-regulated and down-regulated gene clusters in favorable and unfavorable tumors. This cluster analysis is a powerful procedure to distinguish unfavorable tumors from favorable tumors as well as regressing tumors from maturing tumors among favorable tumors. The information obtained from expression profiling would clarify the key genes for cell growth, regression or maturation of neuroblastoma cells, and these genes will become diagnostic and therapeutic targets in human neuroblastoma in the future.

Genome-wide analysis of gene expression associated with MYCN in human neuroblastoma

Molecular mechanisms through which MYCN expression contributes to the malignant phenotype of neuroblastoma are unknown. We performed a genome-widegene expression analysis of 40 well-characterized neuroblastic tumors and 12 cell lines to identify genes and biological pathways associated with MYCN expression. Gene expression was validated by reverse transcription-PCR and immunohistochemistry using tissue arrays. Two hundred twenty-two of 62,839 oligonucleotide probe sets detected expression of genes that were strongly associated with MYCN expression. Differentially expressed genes included examples of known oncogenes, genes associated with neural differentiation, and genes related to cell proliferation. Expression of a subset of these genes was altered after transfection of a neuroblastoma cell line, SK-N-ER, with a MYCN expressing gene construct when protein synthesis was inhibited and have consensus MYCN binding E-box sequences in their promotor regions, suggesting they represent direct targets. Several novel genes/expressed sequences were identified as overexpressed and most likely coamplified with MYCN in a subset of cases. A classification model to identify neuroblastomas with high levels of MYCN expression was developed based on expression profiles. The identification of coexpressed and coamplified genes associated with MYCN overexpression in neuroblastoma suggests biochemical pathways that contribute to the malignant behavior of these tumors and forms a basis for molecular classification.

CD44s expression correlated with the International Neuroblastoma Pathology Classification (Shimada system) for neuroblastic tumours

AIM

CD44 is a cell adhesion molecule that plays an important role in the cascade of metastasis and progression of human malignant tumours. A large family of variants or isoforms, generated by alternative splicing of a single gene, has been reported to be involved in the malignant process by conferring metastatic potential to non-metastatic cells. The objective of this study was to compare the expression of CD44 standard molecule with the International Neuroblastoma Pathology Classification (INPC) for neuroblastic tumours, a histological grading system based on the Shimada system for predicting the clinical outcome in neuroblastic tumours.

METHODS

Paraffin blocks of primary neuroblastic tumour were graded according to the INPC system into favourable and unfavourable histological types. Tumour tissues were then analysed with immunostaining using monoclonal antibodies against the CD44 epitope.

RESULTS

In this retrospective study, 32 cases of primary neuroblastic tumour were collected. Based on the INPC system, 13 cases (40.6%) had a favourable histology while 19 cases (59.4%) were of unfavourable histology. CD44 standard (CD44s) expression was detected in 69.2% of neuroblastic tumours with favourable histological type while 89.5% of tumours with unfavourable histological type did not express CD44s staining. Statistically, there was significant correlation between morphological grading of neuroblastic tumours based on the INPC and the presence of CD44 staining (Fisher's exact test, P<0.05).

CONCLUSION

This study shows that there is a significant correlation between CD44s expression and tumour histology based on the INPC in which CD44s non-expression is correlated with an unfavourable histological type and the expression of CD44s with a favourable type. Therefore, the analysis of CD44s expression should be recommended as an additional biological marker in the initial routine staging of the disease.

PCA disjoint models for multiclass cancer analysis using gene expression data

MOTIVATION

Microarray expression profiling appears particularly promising for a deeper understanding of cancer biology and to identify molecular signatures supporting the histological classification schemes of neoplastic specimens. However, molecular diagnostics based on microarray data presents major challenges due to the overwhelming number of variables and the complex, multiclass nature of tumor samples. Thus, the development of marker selection methods, that allow the identification of those genes that are most likely to confer high classification accuracy of multiple tumor types, and of multiclass classification schemes is of paramount importance.

RESULTS

A computational procedure for marker identification and for classification of multiclass gene expression data through the application of disjoint principal component models is described. The identified features represent a rational and dimensionally reduced base for understanding the basic biology of diseases, defining targets for therapeutic intervention, and developing diagnostic tools for the identification and classification of multiple pathological states. The method has been tested on different microarray data sets obtained from various human tumor samples. The results demonstrate that this procedure allows the identification of specific phenotype markers and can classify previously unseen instances in the presence of multiple classes.

Neuroblastoma: biological insights into a clinical enigma

Neuroblastoma is a tumour derived from primitive cells of the sympathetic nervous system and is the most common solid tumour in childhood. Interestingly, most infants experience complete regression of their disease with minimal therapy, even with metastatic disease. However, older patients frequently have metastatic disease that grows relentlessly, despite even the most intensive multimodality therapy. Recent advances in understanding the biology and genetics of neuroblastomas have allowed classification into low-, intermediate- and high-risk groups. This allows the most appropriate intensity of therapy to be selected - from observation alone to aggressive, multimodality therapy. Future therapies will focus increasingly on the genes and biological pathways that contribute to malignant transformation or progression.

Introduction of the 5-HT3B subunit alters the functional properties of 5-HT3 receptors native to neuroblastoma cells

The identification of a second 5-HT(3) (5-HT(3B)) subunit provides an explanation for 5-HT(3) receptor heterogeneity. We investigated whether introduction of recombinant 5-HT(3B) subunits would alter the functional properties of mouse neuroblastoma 5-HT(3) receptors. RT-PCR analysis revealed that NB41A3 cells contain mRNAs encoding 5-HT(3A) and 5-HT(3B) subunits. 5-HT increased intracellular Ca(2+) concentration ([Ca(2+)](i)) and caused the concentration-dependent activation of inward currents recorded at -60 mV. Both actions of 5-HT were antagonized by ondansetron. The 5-HT concentration-response relationship of NB41A3 cells was indistinguishable from that of the related NG108-15 cell line. The selective 5-HT(3)-receptor agonist mCPBG also elevated [Ca(2+)](i) and activated inward currents. 2-M-5HT was less efficacious than 5-HT as an activator of 5-HT(3) receptors in NB41A3 cells and did not significantly increase [Ca(2+)](i). The 5-HT induced increase in [Ca(2+)](i) did not involve caffeine- or thapsigargin-sensitive intracellular Ca(2+) stores. The introduction of the 5-HT(3B) subunit by transient transfection of NB41A3 cells caused 5-HT to become less potent as an activator of 5-HT(3) receptors and altered the kinetics of 5-HT activated currents so that they resembled currents mediated by 5-HT(3AB) receptors. The 5-HT(3B) subunit also abolished the 5-HT induced [Ca(2+)](i) increase seen in untransfected NB41A3 cells. These data are consistent with the hypothesis that NB41A3 cells predominantly express homomeric 5-HT(3A) receptors that become heteromeric 5-HT(3AB) receptors upon introduction of the recombinant 5-HT(3B) subunit.

Fluorescence in situ hybridization analyses of chromosome band 1p36 in neuroblastoma detect two classes of alterations

Chromosomal alterations in 1p36 were investigated in 196 neuroblastoma tumors using fluorescence in situ hybridization. Additionally, by using the same technique, it was determined whether MYCN was amplified in 149 of these. The most frequent finding was a deletion in 1p36, leading to monosomy of this region (29 cases, 15%). Furthermore, we found tumors with at least two intact copies of chromosome 1 and additional 1p36-deleted copies. Altogether, 21 tumors (11%) displayed this imbalance of 1p36. Similar to the cases with deletion, imbalances were predominantly found in stage 4 tumors (81%), and they were significantly associated with an increased patient age (P = 0.01). Nearly all 1p-deleted tumors showed amplification of MYCN (24/27 analyzed samples, 89%), whereas only 8 of 21 (38%) with imbalance did. Eight cases with imbalance were investigated for loss of heterozygosity (LOH) using microsatellite markers in 1p35-36. Only 4 displayed 1p36 LOH, whereas the remaining 4 were heterozygous. Both patients with deletion of 1p and with imbalance had a poor outcome [3-year rate of event-free-survival (EFS): 33 +/- 15% and 41 +/- 15%], which was significantly worse compared to the outcome of patients without 1p alterations (3-year EFS: 70 +/- 5%; P = 0.01 and P = 0.0059). We conclude that besides monosomic short arm deletions, imbalance of 1p36 is a strong marker of a poor prognosis in neuroblastoma and not necessarily associated with MYCN amplification and LOH.

Experience with International Neuroblastoma Staging System and Pathology Classification

The International Neuroblastoma Staging System and Pathology Classification were proposed in 1988 and in 1999, respectively, but their clinical value has not yet been fully studied in new patients. Six hundred and forty-four patients with neuroblastoma treated between January 1995 and December 1999 were analysed by these classifications. The 4-year overall survival rate of patients <12 months of age with INSS stages 1, 2A, 2B, 3 and 4S disease was 98.5%, which was significantly higher than the 73.1% rate in stage 4 patients <12 months (P<0.0001). When patients were > or = 12 months, the 4-year overall survival rate of patients with neuroblastoma at 1, 2A, 2B and 3 stages was 100% and that of patients at stage 4 was 48.5% (P<0.0001). As to the International Neuroblastoma Pathology Classification histology, the 4-year overall survival rate was 98.8% in patients with favourable histology and 60.7% in those with unfavourable histology in the <12 months group (P<0.0001). In the > or = 12 months group, the 4-year oral survival of patients with favourable histology was 95.3% and that of patients with unfavourable histology was 50.6% (P<0.0001). Among biological factors, MYCN amplification, DNA diploidy and 1p deletions were significantly associated with poor prognosis in patients <12 months, as were MYCN amplification and DNA diploidy in patients > or = 12 months of age. Multivariate analysis showed that the INSS stage (stage 4 vs other stages) and International Neuroblastoma Pathology Classification histology (unfavourable vs favourable) were significantly and independently associated with the survival of patients undergoing treatment, stratified by age, stage and MYCN amplification (P=0.0002 and P=0.0051, respectively).

Novel regions of allelic imbalance identified by genome-wide analysis of neuroblastoma

Several nonrandom chromosomal abnormalities have been associated with neuroblastoma (NB). However, the relationship of each genetic event to the clinical course of disease is not firmly established. We have performed a genome-wide allelic scan of NB to identify regions with frequent allelic imbalance (AI) and correlate the allelotype with clinical features of disease. Nineteen tumors from patients across the spectrum of NB were used. Genome-wide allelotype was performed using 169 fluorescently labeled microsatellite markers from the Weber 9a human screening set (Research Genetics, Huntsville, AL) and 48 independent markers for high-density analysis of selected regions. Eleven chromosomal regions had AI in >25% of tumors including loci known previously to be frequently altered such as 1p36 (10 of 19; 52%), 2p (9 of 19; 47%), 17q (8 of 19; 42%), 11q23 (8 of 19; 42%), 14q32 (7 of 19; 37%), 19q (6 of 19; 31%), 7q (6 of 19; 31%), 9p21 (5 of 19; 26%), and three novel regions of frequent AI at 10p11-p15 (7 of 19; 40%), 12q24.1 (5 of 19; 26%), and 8qcen-q24 (5 of 19; 26%). AI of four regions (8q, 10p, 19q, and 12q) allowed the distinction of two genetic groups that matched clinical significant subgroups of NB. AI at 12q24 and 19q13 was found exclusively in high-risk local-regional tumors, whereas AI at 10p11 and 8q appeared to be specific for stage 4 tumors with MCYN amplification. Spontaneously remitting or quiescent tumors were intact at all of the regions described above.