Literature DB >> 25467309

Bone marrows from neuroblastoma patients: an excellent source for tumor genome analyses.

M Reza Abbasi1, Fikret Rifatbegovic2, Clemens Brunner2, Ruth Ladenstein3, Inge M Ambros2, Peter F Ambros4.   

Abstract

Neuroblastoma is the most common extra-cranial solid tumor in childhood. Presence of disseminated tumor cells (DTCs) in the bone marrow (BM) at diagnosis and at relapse is a common event in stage M neuroblastomas. Although the clinical heterogeneity of disseminated neuroblastomas is frequently associated with genomic diversity, so far, only little information exists about the genomic status of DTCs. This lack of knowledge is mainly due to the varying amount of BM infiltrating tumor cells, which is usually below 30% even at diagnosis thereby hampering systematic analyses. Thus, a valuable chance to analyze metastatic and relapse clones is, so far, completely unexploited. In this study, we show that the enrichment of tumor cells in fresh or DMSO frozen BM samples with a minimum of 0.05% or 0.1% infiltration rate, respectively, by applying magnetic bead-based technique increased the DTC content to a sufficient level to allow SNP array analyses in 49 out of 69 samples. In addition, we successfully used non-enriched BM samples with ≥30% DTCs including non-stained and immunostained cytospin and BM smear slides for SNP array analyses in 44 cases. We analyzed the genomic profile of DTCs by an ultra-high density SNP array technique with highest performance detecting all segmental chromosomal aberrations, amplified regions, acquired loss of heterozygosity events and minor aberrations affecting single genes or parts thereof.
Copyright © 2014 CCRI, Children's Cancer Research Institute. Published by Elsevier B.V. All rights reserved.

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Keywords:  Bone marrow; Disseminated tumor cells; Enrichment; Neuroblastoma; SNP array

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Substances:

Year:  2014        PMID: 25467309      PMCID: PMC5528711          DOI: 10.1016/j.molonc.2014.10.010

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   6.603


bone marrow comparative genomic hybridization copy neutral loss of heterozygosity dimethylsulfoxide disseminated tumor cell fluorescence in situ hybridization laser capture microdissection loss of heterozygosity magnetic activated cell sorting megabase multiplex ligation‐dependent probe amplification mono nuclear cell next generation sequencing phosphate‐buffered saline polymerase chain reaction segmental chromosomal aberration single nucleotide polymorphism ultra‐high density SNP array

Introduction

Neuroblastoma, an embryonic tumor arising from the sympathetic nervous system, is the most common extra‐cranial solid tumor in childhood accounting for about 15% of all pediatric cancer deaths (Maris et al., 2007; Brodeur, 2003). This disease is characterized by a high degree of clinical heterogeneity, ranging from spontaneous regression (D'Angio et al., 1971; Evans et al., 1976; Hero et al., 2008) or maturation (Ambros et al., 1996) to highly malignant courses with widespread metastases and poor outcome. Besides age (Brodeur et al., 1993; Cohn et al., 2009), tumor histology (Shimada et al., 1999), status of MYCN oncogene (Brodeur et al., 1993), and DNA index (ploidy) (Ladenstein et al., 2001), segmental chromosomal aberrations (SCAs) like 1p and 11q deletions (Attiyeh et al., 2005; Caren et al., 2010; Maris et al., 1995; Schleiermacher et al., 2011) have been shown to predict tumor behavior and patient outcome. Until recently, gains and losses of chromosomal material affecting different chromosomes were analyzed individually by fluorescence in situ hybridization (FISH), or MLPA (multiplex ligation‐dependent probe amplification) techniques. However, during the last years genome‐wide techniques such as array‐CGH (aCGH) and whole genome single nucleotide polymorphism (SNP) arrays have been applied in order to detect genomic aberrations in neuroblastoma (George et al., 2007). Amplifications of certain genes and gains and losses of large chromosomal segments commonly defined as “segmental chromosomal aberrations” (SCAs) can be visualized by these techniques. With the advent of ultra‐high density SNP arrays (UHD‐SNP arrays) also minor aberrations like deletions or gains of single genes or parts thereof can be detected (Ambros et al., 2014). As SNP array technologies provide information on the allele distribution together with the copy number status, the information that can be gained from these data is more robust as compared to conventional array platforms, which rely only on copy number information, thus providing a higher security for the correct interpretation of the data (Caren et al., 2010; George et al., 2007). Different studies have shown that the genomic changes are frequently associated with certain clinical sub‐types of neuroblastoma and suggest that pan‐genomic data based on microarray techniques will improve neuroblastoma risk estimation (Ambros et al., 2009; Bilke et al., 2005; Coco et al., 2012; George et al., 2007; Schleiermacher et al., 2011; Spitz et al., 2006). Based on the statistical evaluation of 8.800 neuroblastoma tumors it became clear that genomic information helps to refine current risk classification systems (Cohn et al., 2009). Recent publications demonstrate that besides SCAs, spanning a few Mb in size up to a whole chromosomal arm, some other aberrations frequently can be found in different tumor entities. These aberrations include minor changes affecting single genes or parts thereof such as deletions of or within the ATRX gene and chromothripsis – a peculiar form of aberration by shattering of genomic segments within single chromosomes or chromosome arms, and subsequent random reassembly of the fragments. While ATRX deletions/mutations only occur in a distinct neuroblastoma patient subgroup (over 18 months, no MYCN amplification) and in only a few other tumor entities, the phenomenon of chromothripsis is found in all age groups (Ambros et al., 2014; Cheung et al., 2012; Molenaar et al., 2012). Bone marrow (BM), easily accessible by aspiration through the iliac crest, is a common site for disseminated tumor cells (DTCs) in neuroblastoma patients. The majority of stage M neuroblastoma patients present with tumor dissemination in the BM at diagnosis and also frequently at relapse. Nowadays, immunocytology either alone or in combination with FISH, like the AIPF (automatic immunofluorescence plus FISH) technique, is used to quantify and also to genetically analyze DTCs at diagnosis or as a response predictor during therapy (Beiske et al., 2009; Mehes et al., 2001; Seeger et al., 2000). However, as so far only FISH techniques have been applied to study the genomic aberrations in a large patient group, no complete picture on all genomic aberrations present in DTCs has been possible. Thus, only very limited information about the genomic status of DTCs in neuroblastoma patients is available (Vandewoestyne et al., 2012). A number of questions have not been answered yet: i) does the genomic status of the primary tumor correspond to that of DTCs in the BM? ii) does the genomic make up of DTCs differ at different time points? iii) do relapse tumor clones from different patients share certain genomic aberrations? and iv) is it possible to detect these clones already as a subpopulation at diagnosis, thus helping the identification of patients at higher risk for relapse? As the fraction of DTCs in the background of normal cells is frequently below the detection limit of array‐based techniques, enrichment of the DTC fraction was necessary (Schulz et al., 1984; Sun et al., 2011; Zhe et al., 2011). The combination of a magnetic bead‐based enrichment technique together with a highly sensitive array technique met these requirements. We took advantage of two facts: i) the high and consistent expression of the ganglioside GD2 on virtually all neuroblastoma cells enabling magnetic bead‐based enrichment, and, ii) the fact that the SNP array method enables identification of genomic aberrations also in cases with lower tumor cell fractions as compared to conventional array techniques. In addition, we examined whether the conventional BM smear and cytospin slides can be used for genomic characterization in cases with higher tumor cell content (≥30%).

Materials and methods

Samples

Different sources of infiltrated bone marrows were tested: DMSO frozen, native BM, GD2/CD56 stained and non‐stained cytospin slides and routine BM smear slides. In case of liquid BM samples with equal or less than 50% tumor cell infiltration, tumor cells were enriched by magnetic beads followed by DNA extraction. However, in cases where no fresh or DMSO frozen BM was available, DNA was extracted directly from stained or non‐stained cytospin slides in samples with ≥30% tumor cell infiltration rate. GD2/CD56 stained cytospin slides, after scanning for DTCs, were stored at +4 °C and non‐stained cytospin slides at −20 °C in tightly closed boxes. In addition, BM smears were suitable for DNA extraction and SNP array analysis. Furthermore, DNA was extracted from fresh or snap frozen tumor tissues and tumor free mononuclear cell fraction of each patient as reference. Ethical approval was obtained from the local ethics committee.

Immunofluorescence detection

All samples were routinely analyzed by GD2/CD56 (GD2: 14.18 delta CH2 clone/CD56: eBioscience UK Ltd) double staining for quantification of the tumor cell load and for evaluating the fluorescence profile applying the RCDetect device (Metafer, MetaSystems GmbH, Altlussheim, Germany) according to the method described by Ambros et al. (2003). Only cases with strong and uniform GD2 staining were chosen for the enrichment experiments. Evaluation of the positive and negative fraction after magnetic beads separation by GD2 staining was performed by fluorescence microscopy (Zeiss, Germany).

Tumor cell enrichment

To enrich the GD2+ neuroblastoma cell fraction a density gradient centrifugation was applied and followed by a magnetic bead‐based enrichment technique (Figure 1). After density gradient centrifugation by Lymphoprep™ (AXIS‐SHIELD PoC AS, Oslo, Norway) at 4 °C, mononuclear cells containing tumor cells were collected for enrichment by magnetic activated cell sorting (MACS, Miltenyi Biotec, Bergisch Gladbach, Germany). Cells were spun down at 300 g for 10 min and resuspended in 2 ml cold MACS buffer (PBS PH 7.2, 0.5% BSA, 2 mM EDTA). The fraction was incubated at 4 °C with FITC‐labeled anti‐GD2 antibody for 20 min and subsequently with 75 ml anti‐FITC magnetic beads solution for 15 min without any washing steps in between. The starting volume and amount of the beads was increased and the washing steps were skipped compared to the manufacturer's recommendation. Selection of GD2+ neuroblastoma cells was performed on an MS column (Miltenyi Biotec, Bergisch Gladbach, Germany). From a small portion of the GD2 positive and GD2 negative fractions cytospin slides were made to calculate the GD2+/DAPI+ in relation to the GD2‐/DAPI+ cell fraction by immunofluorescence microscopic evaluation. DNA extraction was done for the samples with more than 30% tumor cell infiltration.
Figure 1

DTC enrichment, DNA extraction and SNP array analysis. After density gradient centrifugation (a), mononuclear fraction containing tumor cells was incubated with FITC‐labeled anti‐GD2 antibodies and subsequently anti‐FITC magnetic beads (b). Selection of GD2+ neuroblastoma cells was performed in a column which was placed in a magnetic field and the negative fraction was collected (c). DTCs were recovered after removing the column from the magnet (d). DNA was extracted from the negative (e) and positive (f) fractions for SNP array analysis (g and h).

DTC enrichment, DNA extraction and SNP array analysis. After density gradient centrifugation (a), mononuclear fraction containing tumor cells was incubated with FITC‐labeled anti‐GD2 antibodies and subsequently anti‐FITC magnetic beads (b). Selection of GD2+ neuroblastoma cells was performed in a column which was placed in a magnetic field and the negative fraction was collected (c). DTCs were recovered after removing the column from the magnet (d). DNA was extracted from the negative (e) and positive (f) fractions for SNP array analysis (g and h).

Collecting cells from BM cytospin and smear slides

To enable DNA extraction from cytospin and BM smear slides with ≥30% tumor cell infiltration, 200 μl and 500 μl phosphate‐buffered saline (PBS) were pipetted onto the glass slides, respectively. The cells were scraped with a pipette tip from the glass surface and the suspension was poured into an Eppendorf tube. This procedure was repeated several times to ensure that all cells were removed from the slide. The cell suspension was spun down using microcentrifugation at 400 g for 10 min and the supernatant was discarded.

DNA extraction

DNA was extracted with the high salt extraction method (Miller et al., 1988). The cells were resuspended in 300 μl nuclei lysis buffer (10 mM Tris–HCl, 400 mM NaCl and 2 mM EDTA, pH 8.2) and digested overnight at 56 °C with 13 μl 20% SDS and 3 μl proteinase K (20 mg/ml) solutions. When digestion was completed, 100 μl 6 M NaCl was added and after microcentrifugation at 13,000 rpm the supernatant containing the DNA was transferred to another tube. DNA was precipitated by adding 1 ml absolute ethanol followed by microcentrifugation at 13,000 rpm for 30 min at 4 °C and used for genomic analysis without any additional amplification steps.

Genomic analysis

Genomic profile of tumor cells was examined by CytoScan™ HD Array (Affymetrix Inc., UK Ltd), a genome‐wide UHD‐SNP array technique with more than 2.6 million copy number and SNP markers. All steps were done according to the detailed protocol provided by the manufacturer. After labeling and hybridization onto arrays, the arrays were washed, stained and scanned with the GeneChip scanner (Affymetrix Inc., UK Ltd) and the data was analyzed using the ChAS software (Affymetrix Inc., UK Ltd).

Results

Magnetic bead‐based enrichment was applied to 69 BM samples with an original tumor cell infiltration rate ranging from 0.05% to 50%. 65 samples were DMSO frozen and four samples were fresh. Frozen samples had 0.1%–50% tumor cell infiltration rate. 44 samples had been kept frozen in the gas phase of liquid nitrogen for up to 23 years and 21 samples had been stored for less than one decade. Frozen samples were classified in four groups according to the tumor cell content before enrichment (Figure 2, Table 1, and Supplementary Figure). In group A, 0.1%–1% of mononuclear cells were GD2 positive and thus defined as tumor cells. The tumor cell infiltration before enrichment in groups B, C and D was 2%–9%, 10%–30% and 31%–50%, respectively. Although the highest increase in tumor cell content by enrichment was observed in group A, the mean tumor cell content after enrichment grew steadily in group A to D. In the first group consisting of 14 samples a final concentration of ≥30% GD2 positive cells (acceptable purity for SNP array analysis) was obtained after enrichment in six cases and in five out of these samples more than 50% GD2 positive cells were obtained. Altogether, the enrichment factor (the fold change of tumor cell content by enrichment) in this group was 82.5. In group B, in 14 out of 18 samples (77.8%) the tumor cell content was raised to a level higher than 30%. For samples with at least 10% tumor cell infiltration (groups C and D, n = 33), enrichment increased the tumor cell content to more than 30% for all cases except one. In total, 52 out of 65 frozen samples provided acceptable purity for SNP array analysis (30%–99% GD2+ cells). So far, genomic analysis by UHD‐SNP array has been performed for 46 frozen samples leading to clear and interpretable results. Detection of amplification events, SCAs, copy‐neutral LOH (cnLOH) and even minor deletions like parts of the ATRX gene were possible (three examples are given in Figures 3a, 4 and 5a). The lower limit of 30% tumor cells for SNP array analysis was chosen. Enrichment of four fresh BM samples with initially very low tumor cell infiltration highly increased the tumor cell content (Figure 2, Table 2, Supplementary Figure). Genomic analyses of three samples with an original tumor cell infiltration rate of 0.05%, 0.06% and 0.08% revealed unambiguous SNP array data with different segmental and numerical aberrations including cnLOH (two examples are given in 3, 5). In 12 samples with ≥60% infiltration rate, DMSO frozen BM samples were processed without any preceding enrichment steps.
Figure 2

Tumor cell content before and after enrichment. The tumor cell content of archival samples before enrichment was classified into four groups: group A: 0.1%–1%, group B: 2%–9%, group C: 10%–30% and group D: 31%–50%. The fresh BM samples were listed in group E. The tumor cell content before and after enrichment in each group is represented by orange and green bars, respectively.

Table 1

Enrichment information of frozen BM samples in different groups.

GroupInitial TCCa (%)Total numberTCCa after enrichmentMean of TCCaMean of enrichment factorbSamples with SNP array results
≥50%≥40%≥30%MinimumMaximumBefore enrichmentAfter enrichment
A0.1–1145564.8%70.3%0.75%31.4%82.55
B2–918591412.3%86.3%4.8%40.4%912
C10–302414192315%95%20.3%57.5%3.221
D31–50989947.4%95%42.8%75%1.88
Total0.1–50653242524.8%99%17.2%51.1%24.146

TCC: Tumor Cell Content.

Enrichment factor: fold change of tumor cell content by enrichment.

Figure 3

SNP array profiles of BM‐derived DTCs. a. SNP array data from an enriched DMSO frozen BM sample at relapse with 5.5% tumor cell infiltration before and 85% after enrichment and the corresponding tumor free sample (REF). The red box shows a region with copy neutral LOH in chromosome 14q in the DTCs which is not detectable in the reference. In this region the smooth signal is on level 2 representing two copies while the middle track of the allele peaks is missing in this region meaning two identical copies or copy neutral LOH. b. SNP array of an enriched fresh BM sample with 0.05% tumor cell infiltration before and 68% after enrichment shows two deletions at the short arm of chromosome 1, a large deletion at the distal part (tel. – 36.4 Mb) and a small deletion at 50.3–51.6 Mb (arrows represent breakpoints). In these areas the smooth signal does not descend to 1 because of the amount of normal cells. Also the four tracks in the allele peaks are caused by the mixture of normal cells and tumor cells. c. SNP array profile of the DNA extracted from a BM cytospin slide after GD2/CD56 staining with 90% tumor cell infiltration shows two regions with 3 copies in the long arm of chromosome 6. In these regions the copy number state in smooth signal is close to level 3 (due to a mixture of 10% normal cells) and allele peaks show 4 tracks representing gains (i.e. trisomy). Breakpoints are at 74.4 Mb, 155.0 Mb and 157.9 Mb (arrows). d. SNP array profile from a BM smear slide with 50% tumor cell infiltration at diagnosis and the corresponding data from the primary tumor (TU) show a deletion of the distal part of chromosome 8p. The breakpoints at 27.3 Mb are identical in both samples (arrows). The allele peaks of the tumor disclose a loss of heterozygosity (LOH) in the deleted segment and accordingly the copy number state in smooth signal is 1. In the DTC sample the smooth signal is between 1 and 2 and the allele peaks in this region show four tracks due to a mixture of 50% normal cells and 50% tumor cells. AP: allele peaks, SMS: smooth signal.

Figure 4

SNP array of an enriched frozen BM sample of a male patient at diagnosis with 6% tumor cell infiltration before and 40% after enrichment compared to the primary tumor (TU) and tumor free MNCs as reference (REF). The Log2 ratios show a deletion within the ATRX gene on Xq21.1 in the DTCs and in the tumor. The deletion concerns only parts of the ATRX gene and is not present in the reference sample.

Figure 5

Whole genome views (WGVs) of BM‐derived DTCs which were created by the ChAS software. WGVs of DTCs from a. enriched DMSO frozen BM sample with 0.69% DTC infiltration before and 60% after enrichment, b. enriched fresh BM sample with 0.05% DTC infiltration before and 68% after enrichment, c. immunostained cytospin slide with 95% DTC infiltration and d. BM smear slide with 50% DTC infiltration, show different numerical and segmental chromosomal aberrations and amplifications (short arm of chromosome 2 in a and c) in different chromosomes. The left y‐axis in the upper box of each sample shows the weighted log 2 ratio and the right y‐axis the copy number (smooth signal, dark blue line). The lower boxes in a, b, c and d represent the allele peaks. The numbers in the x‐axis indicate the chromosome numbers and X and Y.

Table 2

Enrichment information of fresh BM samples (group E).

SamplesTCCa before enrichment (%)TCCa after enrichment (%)Mean of enrichment factorb
10.0568.51370
20.0640666.7
30.0847587.5
4578.615.7

TCC: Tumor Cell Content.

Enrichment factor: fold change of tumor cell content by enrichment.

Tumor cell content before and after enrichment. The tumor cell content of archival samples before enrichment was classified into four groups: group A: 0.1%–1%, group B: 2%–9%, group C: 10%–30% and group D: 31%–50%. The fresh BM samples were listed in group E. The tumor cell content before and after enrichment in each group is represented by orange and green bars, respectively. Enrichment information of frozen BM samples in different groups. TCC: Tumor Cell Content. Enrichment factor: fold change of tumor cell content by enrichment. SNP array profiles of BM‐derived DTCs. a. SNP array data from an enriched DMSO frozen BM sample at relapse with 5.5% tumor cell infiltration before and 85% after enrichment and the corresponding tumor free sample (REF). The red box shows a region with copy neutral LOH in chromosome 14q in the DTCs which is not detectable in the reference. In this region the smooth signal is on level 2 representing two copies while the middle track of the allele peaks is missing in this region meaning two identical copies or copy neutral LOH. b. SNP array of an enriched fresh BM sample with 0.05% tumor cell infiltration before and 68% after enrichment shows two deletions at the short arm of chromosome 1, a large deletion at the distal part (tel. – 36.4 Mb) and a small deletion at 50.3–51.6 Mb (arrows represent breakpoints). In these areas the smooth signal does not descend to 1 because of the amount of normal cells. Also the four tracks in the allele peaks are caused by the mixture of normal cells and tumor cells. c. SNP array profile of the DNA extracted from a BM cytospin slide after GD2/CD56 staining with 90% tumor cell infiltration shows two regions with 3 copies in the long arm of chromosome 6. In these regions the copy number state in smooth signal is close to level 3 (due to a mixture of 10% normal cells) and allele peaks show 4 tracks representing gains (i.e. trisomy). Breakpoints are at 74.4 Mb, 155.0 Mb and 157.9 Mb (arrows). d. SNP array profile from a BM smear slide with 50% tumor cell infiltration at diagnosis and the corresponding data from the primary tumor (TU) show a deletion of the distal part of chromosome 8p. The breakpoints at 27.3 Mb are identical in both samples (arrows). The allele peaks of the tumor disclose a loss of heterozygosity (LOH) in the deleted segment and accordingly the copy number state in smooth signal is 1. In the DTC sample the smooth signal is between 1 and 2 and the allele peaks in this region show four tracks due to a mixture of 50% normal cells and 50% tumor cells. AP: allele peaks, SMS: smooth signal. SNP array of an enriched frozen BM sample of a male patient at diagnosis with 6% tumor cell infiltration before and 40% after enrichment compared to the primary tumor (TU) and tumor free MNCs as reference (REF). The Log2 ratios show a deletion within the ATRX gene on Xq21.1 in the DTCs and in the tumor. The deletion concerns only parts of the ATRX gene and is not present in the reference sample. Whole genome views (WGVs) of BM‐derived DTCs which were created by the ChAS software. WGVs of DTCs from a. enriched DMSO frozen BM sample with 0.69% DTC infiltration before and 60% after enrichment, b. enriched fresh BM sample with 0.05% DTC infiltration before and 68% after enrichment, c. immunostained cytospin slide with 95% DTC infiltration and d. BM smear slide with 50% DTC infiltration, show different numerical and segmental chromosomal aberrations and amplifications (short arm of chromosome 2 in a and c) in different chromosomes. The left y‐axis in the upper box of each sample shows the weighted log 2 ratio and the right y‐axis the copy number (smooth signal, dark blue line). The lower boxes in a, b, c and d represent the allele peaks. The numbers in the x‐axis indicate the chromosome numbers and X and Y. Enrichment information of fresh BM samples (group E). TCC: Tumor Cell Content. Enrichment factor: fold change of tumor cell content by enrichment. In cases with ≥30% tumor cell infiltration for which no fresh or DMSO frozen BM samples were available, DNA was extracted from BM cytospin or smear slides. DNA was extracted from 22 cytospin slides which were stored at −20 °C. In seven cases, for which no unstained cytospin slides were available, routinely processed, i.e. formalin fixed, GD2/CD56 stained and fluorescence analyzed, cytospin slides which were stored after examination at 4 °C were used. In all 29 cases SNP array analyses were possible leading to interpretable results (two examples are given in 3, 5c). In these cases, one cytospin slide, each with 17.5 mm diameter containing 7 × 105 to 1.1 × 106 mononuclear cells (MNCs), was sufficient to perform a SNP array analysis without any additional DNA amplification step. In addition, in one case, when no further material was available, DNA was extracted from a cytospin slide after successful GD2/CD56 staining and subsequent FISH analysis. Although SNP array results of this sample looked more wavy compared to other samples, SCAs and amplification event affecting the MYCN gene could be detected. We were also interested to learn whether unstained conventional BM smear slides could be used for SNP array analyses. DNA was extracted from three unstained BM smear slides with a tumor cell content of 30%–80% providing sufficient amount and sufficiently intact DNA to run SNP array analyses. All three samples resulted in interpretable SNP array results with sufficient quality to identify SCAs and amplified regions (two examples are given in 3, 5).

Discussion

In neuroblastoma, like other cancers, deaths occur mainly due to resistance of metastatic cells to cytotoxic drugs. Thus, the exact diagnosis and adequate treatment of metastatic cells are the most important issues in the clinical practice. Neuroblastoma cells can escape from the primary tumor via the blood stream and colonize the BM. (for review see e.g. Burchill, 2004). So far, it is unclear whether and to what extent the genomics of DTCs at diagnosis corresponds to that of the tumor. Moreover, even less or no information at all exists to date on the genomics of relapse DTC clones and their derivation (primary tumor versus BM infiltration). Genomic characterization of DTCs at different time points during the course of the disease would be an ideal way to unravel these questions. Interphase FISH (I‐FISH) is one strategy to tackle these questions. Despite the fact that this technique is extremely sensitive, especially when combined with an immunological marker as performed for example together with GD2/CD56 in the AIPF technique (Mehes et al., 2001), it has the disadvantage of exploring only a limited number of specific genomic aberrations, usually with a need for prior knowledge of likely regions of interest. Consequently, other strategies are needed to learn about the full genomic picture of the cells. The most suited techniques for this purpose, i.e. CGH and SNP array or next generation sequencing (NGS), are only applicable when a sufficient proportion of tumor cells is available in the sample. Therefore, appropriate enrichment techniques have to be applied to obtain a sufficient purity of DTCs. Despite the fact that a number of methods exist to isolate, enrich and characterize circulating and disseminated tumor cells (Moss et al., 1991; Sun et al., 2011), so far, only one study has performed whole genome analyses of enriched neuroblastoma DTCs. Vandewoestyne and colleagues used two different strategies to enrich rare tumor cells to be able to run array CGH experiments. DTCs from 17 BM samples were enriched by laser capture microdissection (LCM) on immuno‐cytologically stained slides. Due to the limited number of tumor cells, whole genome amplification was necessary resulting in false positive and false negative array CGH results. In addition, seven samples were enriched by magnetic activated cell sorting. However, in only two out of the seven samples interpretable array CGH profiles were obtained, and these two fresh samples had more than 14% initial tumor cell infiltration. Neither frozen nor fresh samples with lower tumor cell content gave reliable results (Vandewoestyne et al., 2012). Since many clinical BM samples have tumor cell infiltration values below the detection limit of SNP array, we tested whether fresh and/or DMSO frozen BM samples with a minimum of 0.05% (fresh) and 0.1% (frozen) initial DTC infiltration rate could be enriched sufficiently to give unambiguous SNP array results. Being in the fortunate situation to have a reliable surface marker, the ganglioside GD2, available, which is presented on the cell surface of virtually all neuroblastoma cells, GD2 antibody‐ and magnetic bead‐based technique which is cost effective, flexible and easy to handle was successfully used. One further advantage of this system is the ability for easy monitoring of the positive and negative fractions, providing clear information on the purity of the enriched sample. With the applied magnetic bead‐based technique, it was possible to enrich the original BM infiltration rate on average 24.1 times in DMSO frozen and 660 times in fresh samples. These results were achieved by optimizing the standard manufacturer's protocol by avoiding unnecessary centrifugation and manipulation steps. In addition, the amount of ferromagnetic beads and the starting volume of the cell solution were increased to obtain a high yield of DTCs. Following this protocol only one positive selection step was made to avoid losing cells by second or third rounds. The genomic analyses were performed without any whole genome pre‐amplification step to avoid any amplification‐induced bias. The DTC fraction was analyzed by a UHD‐SNP array technique resulting in a detailed picture of the genomic profile. Taking advantage of one of the positive aspects of the SNP array technique to visualize minor cell populations, SCAs were identified even in BM samples without any enrichment technique in cases where the tumor cell content was ≥30% and in case of amplification events at even lower percentages. Thus, sufficient DNA was extracted from routine BM smears, unfixed cytospin or even fixed and GD2 stained cytospin slides to run the array experiments. Since in any amplification event there are many copies of the affected chromosomal region, the detection rate for amplification will remain high even in samples with very low tumor cell content. Detection rates for SCAs, however, will be dependent on the following factors: on the number of gained/lost segments (e.g.: only one additional 17q arm or three to four additional arms; or a loss in case of 2:1 or bigger differences like 4:2 or 5:2 situations) and furthermore on the homogeneous or heterogeneous presence of the aberration in the tumor cells. In cases with flat SNP array profiles without any segmental or numerical chromosomal aberrations, a false negative result due to low tumor cell content is most likely and should be considered. The applied UHD‐SNP array technique is a robust method allowing a detailed view also of minor genomic changes such as deletions within the ATRX gene. Importantly, the availability of copy number probes and SNP probes in one platform allows an internal quality assessment system as these two types of information are available for every genomic locus, making detection of copy number changes very reliable. Thus, this technique provides a sensitive approach to assess numerical and structural DNA aberrations (gains, losses and amplifications) and, importantly, identifies areas with cnLOH missed by FISH, MLPA or conventional array techniques. Our study shows that enrichment of fresh and DMSO frozen BM samples from neuroblastoma patients is feasible by magnetic bead‐based technique resulting in sufficient purity for whole genome analysis in the bone marrow micrometastases. In addition, in samples exceeding 30% DTCs, routinely processed BM cytospin slides and BM smears resulted in unambiguously interpretable SNP array results. All in all, BM, so far frequently overlooked by genetic studies, can serve as an ideal source to study genomic aberrations at diagnosis and especially during the course of the disease. This information will allow a better categorization of patients with disseminated disease on the basis of the genomic features of DTCs which has not been possible so far. In low infiltrated BM samples the combination of a robust enrichment technique such as magnetic bead‐based with a SNP array technique is an excellent and cost effective way to study the genomic profile of bone marrow micrometastases in neuroblastoma. The following is the supplementary data related to this article: Supplementary Figure 1 Tumor cell content before and after enrichment. Scatter plot shows the tumor cell content before and after enrichment for each sample. The five different groups (A–E) are shown in different colors and differently shaped symbols. Frozen samples were classified according to the tumor cell content (TCC) before enrichment: group A: 0.1%–1%, group B: 2%–9%, group C: 10%–30% and group D: 31%–50%. The fresh BM samples were listed in group E. Click here for additional data file.
  34 in total

1.  Combined automatic immunological and molecular cytogenetic analysis allows exact identification and quantification of tumor cells in the bone marrow.

Authors:  G Méhes; A Luegmayr; I M Ambros; R Ladenstein; P F Ambros
Journal:  Clin Cancer Res       Date:  2001-07       Impact factor: 12.531

2.  A simple salting out procedure for extracting DNA from human nucleated cells.

Authors:  S A Miller; D D Dykes; H F Polesky
Journal:  Nucleic Acids Res       Date:  1988-02-11       Impact factor: 16.971

3.  Inferring a tumor progression model for neuroblastoma from genomic data.

Authors:  Sven Bilke; Qing-Rong Chen; Frank Westerman; Manfred Schwab; Daniel Catchpoole; Javed Khan
Journal:  J Clin Oncol       Date:  2005-09-06       Impact factor: 44.544

4.  Prognostic significance of DNA di-tetraploidy in neuroblastoma.

Authors:  R Ladenstein; I M Ambros; U Pötschger; G Amann; C Urban; F M Fink; K Schmitt; R Jones; M Slociak; F Schilling; J Ritter; F Berthold; H Gadner; P F Ambros
Journal:  Med Pediatr Oncol       Date:  2001-01

Review 5.  Circulating tumor cells: advances in detection methods, biological issues, and clinical relevance.

Authors:  Yun-Fan Sun; Xin-Rong Yang; Jian Zhou; Shuang-Jian Qiu; Jia Fan; Yang Xu
Journal:  J Cancer Res Clin Oncol       Date:  2011-06-17       Impact factor: 4.553

6.  Age-dependent accumulation of genomic aberrations and deregulation of cell cycle and telomerase genes in metastatic neuroblastoma.

Authors:  Simona Coco; Jessica Theissen; Paola Scaruffi; Sara Stigliani; Stefano Moretti; André Oberthuer; Francesca Valdora; Matthias Fischer; Fabio Gallo; Barbara Hero; Stefano Bonassi; Frank Berthold; Gian Paolo Tonini
Journal:  Int J Cancer       Date:  2012-02-18       Impact factor: 7.396

7.  Localized infant neuroblastomas often show spontaneous regression: results of the prospective trials NB95-S and NB97.

Authors:  Barbara Hero; Thorsten Simon; Ruediger Spitz; Karen Ernestus; Astrid K Gnekow; Hans-Guenther Scheel-Walter; Dirk Schwabe; Freimut H Schilling; Gabriele Benz-Bohm; Frank Berthold
Journal:  J Clin Oncol       Date:  2008-03-20       Impact factor: 44.544

8.  The International Neuroblastoma Risk Group (INRG) classification system: an INRG Task Force report.

Authors:  Susan L Cohn; Andrew D J Pearson; Wendy B London; Tom Monclair; Peter F Ambros; Garrett M Brodeur; Andreas Faldum; Barbara Hero; Tomoko Iehara; David Machin; Veronique Mosseri; Thorsten Simon; Alberto Garaventa; Victoria Castel; Katherine K Matthay
Journal:  J Clin Oncol       Date:  2008-12-01       Impact factor: 44.544

9.  Bone marrows from neuroblastoma patients: an excellent source for tumor genome analyses.

Authors:  M Reza Abbasi; Fikret Rifatbegovic; Clemens Brunner; Ruth Ladenstein; Inge M Ambros; Peter F Ambros
Journal:  Mol Oncol       Date:  2014-10-28       Impact factor: 6.603

10.  Ultra-High Density SNParray in Neuroblastoma Molecular Diagnostics.

Authors:  Inge M Ambros; Clemens Brunner; Reza Abbasi; Christian Frech; Peter F Ambros
Journal:  Front Oncol       Date:  2014-08-12       Impact factor: 6.244

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  11 in total

1.  Novel pharmacodynamic biomarkers for MYCN protein and PI3K/AKT/mTOR pathway signaling in children with neuroblastoma.

Authors:  Jennifer R Smith; Lucas Moreno; Simon P Heaton; Louis Chesler; Andrew D J Pearson; Michelle D Garrett
Journal:  Mol Oncol       Date:  2015-11-19       Impact factor: 6.603

2.  Metronomic topotecan impedes tumor growth of MYCN-amplified neuroblastoma cells in vitro and in vivo by therapy induced senescence.

Authors:  Sabine Taschner-Mandl; Magdalena Schwarz; Johanna Blaha; Maximilian Kauer; Florian Kromp; Nelli Frank; Fikret Rifatbegovic; Tamara Weiss; Ruth Ladenstein; Martin Hohenegger; Inge M Ambros; Peter F Ambros
Journal:  Oncotarget       Date:  2016-01-19

3.  The genetic tumor background is an important determinant for heterogeneous MYCN-amplified neuroblastoma.

Authors:  Dominik Bogen; Clemens Brunner; Diana Walder; Andrea Ziegler; Reza Abbasi; Ruth L Ladenstein; Rosa Noguera; Tommy Martinsson; Gabriele Amann; Freimut H Schilling; Marek Ussowicz; Martin Benesch; Peter F Ambros; Inge M Ambros
Journal:  Int J Cancer       Date:  2016-03-22       Impact factor: 7.396

4.  Neuroblastoma cells undergo transcriptomic alterations upon dissemination into the bone marrow and subsequent tumor progression.

Authors:  Fikret Rifatbegovic; Christian Frech; M Reza Abbasi; Sabine Taschner-Mandl; Tamara Weiss; Wolfgang M Schmidt; Iris Schmidt; Ruth Ladenstein; Inge M Ambros; Peter F Ambros
Journal:  Int J Cancer       Date:  2017-10-04       Impact factor: 7.396

5.  Bone marrows from neuroblastoma patients: an excellent source for tumor genome analyses.

Authors:  M Reza Abbasi; Fikret Rifatbegovic; Clemens Brunner; Ruth Ladenstein; Inge M Ambros; Peter F Ambros
Journal:  Mol Oncol       Date:  2014-10-28       Impact factor: 6.603

6.  Impact of Disseminated Neuroblastoma Cells on the Identification of the Relapse-Seeding Clone.

Authors:  M Reza Abbasi; Fikret Rifatbegovic; Clemens Brunner; Georg Mann; Andrea Ziegler; Ulrike Pötschger; Roman Crazzolara; Marek Ussowicz; Martin Benesch; Georg Ebetsberger-Dachs; Godfrey C F Chan; Neil Jones; Ruth Ladenstein; Inge M Ambros; Peter F Ambros
Journal:  Clin Cancer Res       Date:  2017-02-22       Impact factor: 12.531

7.  Enriched Bone Marrow Derived Disseminated Neuroblastoma Cells Can Be a Reliable Source for Gene Expression Studies-A Validation Study.

Authors:  Fikret Rifatbegovic; M Reza Abbasi; Sabine Taschner-Mandl; Maximilian Kauer; Andreas Weinhäusel; Rupert Handgretinger; Peter F Ambros
Journal:  PLoS One       Date:  2015-09-11       Impact factor: 3.240

8.  Tumor Touch Imprints as Source for Whole Genome Analysis of Neuroblastoma Tumors.

Authors:  Clemens Brunner; Bettina Brunner-Herglotz; Andrea Ziegler; Christian Frech; Gabriele Amann; Ruth Ladenstein; Inge M Ambros; Peter F Ambros
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

Review 9.  Molecular Genetics in Neuroblastoma Prognosis.

Authors:  Margherita Lerone; Marzia Ognibene; Annalisa Pezzolo; Giuseppe Martucciello; Federico Zara; Martina Morini; Katia Mazzocco
Journal:  Children (Basel)       Date:  2021-05-29

10.  Landscape of Bone Marrow Metastasis in Human Neuroblastoma Unraveled by Transcriptomics and Deep Multiplex Imaging.

Authors:  Daria Lazic; Florian Kromp; Fikret Rifatbegovic; Peter Repiscak; Michael Kirr; Filip Mivalt; Florian Halbritter; Marie Bernkopf; Andrea Bileck; Marek Ussowicz; Inge M Ambros; Peter F Ambros; Christopher Gerner; Ruth Ladenstein; Christian Ostalecki; Sabine Taschner-Mandl
Journal:  Cancers (Basel)       Date:  2021-08-26       Impact factor: 6.639

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