Abstract
Background/Aim
Genetic analysis in neuroblastoma has identified the profound influence of MYCN amplification and 11q deletion in patients’ prognosis. These two features of high-risk neuroblastoma usually occur as mutually exclusive genetic markers, although in rare cases both are present in the same tumor. The purpose of this study was to characterize the genetic profile of these uncommon neuroblastomas harboring both these high-risk features.
Methods
We selected 18 neuroblastomas with MNA plus 11q loss detected by FISH. Chromosomal aberrations were analyzed using Multiplex Ligation-dependent Probe Amplification and Single Nucleotide Polymorphism array techniques.
Results and Conclusion
This group of tumors has approximately the same high frequency of aberrations as found earlier for 11q deleted tumors. In some cases, DNA instability generates genetic heterogeneity, and must be taken into account in routine genetic diagnosis.
Introduction
Genetic instability and the presence of genetically heterogeneous cell populations are well-known features in neuroblastoma (NB), the most common extra-cranial solid neoplasm in childhood [1]–[5]. This disease is characterized by a diverse behavior, and both prognosis and response to therapy can vary widely [6]. Genetic markers of NB include MYCN amplification (MNA) and allelic loss of 11q. In addition, presence of gains and losses of heterozygosity (LOH) have been reported for other chromosomal regions [1], [7]. The use of Multiplex Ligation–dependent Probe Amplification (MLPA), Comparative Genomic Hybridization (CGH) and Single Nucleotide Polymorphisms arrays (aSNP) has provided accurate and rapid identification of genome abnormalities at high resolution [8]–[10]. In fact, numerical chromosome aberrations (NCAs), have been associated with excellent survival, while tumors with any type of segmental chromosome aberrations (SCAs) are related to a high-risk of relapse [1], [11].
MNA is present in about 17–20% of all NB cases, being associated with unfavorable cases with advanced stage disease, aggressive behavior and high-risk of relapse [6]. Intratumoral co-existence of amplified neuroblastic cells alongside non-amplified neuroblastic cells in the same tumor is regarded as heterogeneous MNA (hetMNA) [12]–[16] and presence of MNA in all neuroblastic cells is considered homogeneous MNA (homMNA) [13]. The study of heterogeneity according to the MYCN status requires single cell approach techniques such as fluorescence in situ hybridization (FISH). Several lines of investigation indicate that the q arm of chromosome 11 contains NB suppressor gene(s) [17]–[19]. Rearrangements in chromosome 11q occur also in approximately 30% of primary NB; they are associated with poor outcome and have recently been included as an independent risk factor in the International Neuroblastoma Risk Group (INRG) pretreatment risk classification [20]. An inverse relationship between MNA and 11q loss has been described, indicating distinct genetic subtypes of aggressive NB [19], [21]. In fact, infrequent cases with MNA plus 11q loss have been described with an unexpected complexity and dramatic decline of survival rates [22].
We carried out MLPA/aSNP studies of eighteen NB cases with MNA plus 11q loss detected by FISH, to characterize chromosomal aberrations and breakpoints and to describe the genetic cell heterogeneity in these unusual cases.
Materials and Methods
Tumor Material
Between 1999 and 2007, 905 tumor samples were referred to the Spanish Reference Centre for NB Biological and Pathological studies at the time of diagnosis. Nineteen samples were selected according to FISH status results for MNA and 11q deletion. Paraffin slides were stained with hematoxylin-eosin and examined by a pathologist (SN) to evaluate the amount of neuroblastic cells, and histopathologically categorized according to the International Neuroblastoma Pathology Classification (INPC) [23].
This study was approved by the Experimental Research Ethics Committee of the Spanish Society of Pediatric Hematology and Oncology (SHEOP) (File number: 59C18ABR2002; EC number: 2010-021396-81). Participants or their family members/informants signed written informed consent forms.
FISH
MYCN copy number and integrity observed in chromosomal regions such as 1p36, 11q24 and 17q 22 were investigated in touch preparations and/or paraffin slides with commercial cocktail probes: MYCN(2p24)/LAF(2q11); MLL(11q23)/SE11; MPO(17q22)ISO17q/p53(17p13), (Kreatech, Biotechnology) and 1p36(D1Z2)/centromere Chromosome 1 (Qbiogene). Assessment and interpretation of FISH results were performed according to previously published procedures [24], [25].
Ploidy
DNA content was analyzed by image cytometry following the protocol as previously described with minor changes, and the INRG recommendations [13], [26].
Multilocus/Pangenomic Techniques
DNA from frozen tumors was extracted using phenol/chloroform/isoamyl alcohol extraction after proteinase K treatment. More than one tumor piece was analyzed in some hetMNA cases in order to extend the description of the tumor genotype. MLPA was used as a cost-effective first approach method in the detection of frequent SCAs in NB.
The technique was performed using the SALSA MLPA Kit P251/P252/P253 developed by MRC-Holland in co-operation with International Society of Paediatric Oncology European Neuroblastoma (SIOPEN). The SALSA MLPA P251 probemix contains probes for chromosomes 1, 3 and 11; P252 probemix for chromosomes 2 and 17; and P253 probemix for chromosomes 4, 7, 9, 12 and 14. Each panel includes control probes located in chromosome regions rarely altered numerically in NB. The technique and the interpretation guidelines are described elsewhere [8], [13].
For the array experiments GeneChip Human Mapping 250K arrays were used following the protocol provide by the supplier (Affymetrix, Inc., Santa Clara CA). The primary data analysis was made using GDAS software (Affymetrix), while genomic profiles were generated using CNAG (Copy Number Analyzer for Affymetrix GeneChip Mapping arrays) Version 3.0 with the AsCNAR (allele-specific copy-number analysis using anonymous references) function [27]. The UCSC genome browser, assembly February 2009 was used to visualize gene regions.
Statistical Analysis
Overall survival (OS) was defined as the time to disease-related death or last follow-up. The clinical data were compared of 28 patients suffering from tumors with homogeneous MNA without 11q deletion (homMNA w/o 11q-del) tumors [28]. Survival curves were analyzed using the Kaplan-Meier method and compared using the log-rank test.
Results
Patients and Tumor Characteristics
Sample inclusion in this study was based solely on the co-existence of the MNA and 11q deletion aberrations detected by FISH in each sample. A total of nineteen primary tumors without previous treatment were selected for study using MLPA/aSNP. Clinical features of the patient cohort are summarized in Table 1. Patient age at time of diagnosis ranged from 9 to 108 months (median 24). Most of the patients (13/19) were older than 18 months. A slight predominance of males was present (63% versus 37%). The primary tumor was abdominal in all cases. All but two cases presented advanced stages, and thirteen patients had metastases at diagnosis. Bone and bone marrow metastases were the most frequent. Patients were treated according to Spanish Society of Paediatric Oncology (SEOP)/SIOPEN protocols depending on the date of diagnosis. Time to first relapse ranged from 4 to 28 months (mean 11.4 months). Mean follow-up was 32 months. Five patients remained alive 13 to 132 months after the initial diagnosis, 3/7 patients with hetMNA and 2/12 with homMNA (Table 2). Fourteen patients died, eleven due to disease progression and three because of sepsis or complications with chemotherapy and transplant. In terms of OS (Supplementary Figure S2), in the 3-year OS rate no statistically significant differences were found between patients with either hom and hetMNA plus 11q-deleted tumors and patients with homMNA w/o 11q-del tumors (49.2% ±13 versus 53% ±9.5, p = 0.335), although the slope was somewhat delayed in the latter group. When considering the patients with homMNA plus 11q-deleted tumors and the patients suffering homMNA w/o 11q-del tumors the OS were 33.3±13 and 53±9.5 respectively (p = 0.138).
Table 1. Clinical characteristics and outcome.
ID | Sex | Age at diagnosis (months) | Stage | Metastases | Pathology | Protocol Treatment | Treatment Response | Relapse | Time to first relapse (months) | Outcome | Follow-up time (months) |
1 | M | 12 | 1 | N | pdNB | INES | CR | Y | 14 | DOD | 15 |
14 | M | 41 | 2 | N | nGNB | LNESG1 | SurPR | Y | 4 | DOD | 53 |
5 | F | 18 | 3 | N | pdNB | N-II-92 | N | DOS | 1 | ||
8 | M | 33 | 3 | N | uNB | HR-NBL1 | PR | Y | 28 | DOD | 58 |
15 | F | 9 | 3 | N | pdNB | INES | PR | N | AWD | 76 | |
18 | M | 24 | 3 | N | pdNB | HR-NBL1 | PR | N | DTC | 7 | |
2 | F | 41 | 4 | Y(B+BM) | pdNB | HR-NBL1 | N | DOD | 8 | ||
3 | M | 10 | 4 | Y (B+BM) | uNB | INES | DP | Y | 5 | DOD | 7 |
4 | M | 20 | 4 | Y (B+BM) | uNB | NAR-99 | DP | Y | 12 | DOD | 12 |
6 | M | 19 | 4 | Y (LN) | uNB | NAR-99 | VGPR | N | ADF | 132 | |
7 | F | 108 | 4 | Y(B+BM) | pdNB | HR-NBL1 | DP | N | DOD | 10 | |
9 | M | 20 | 4 | Y (B+ST) | uNB | HR-NBL1 | VGPR | Y | 9 | DOD | 12 |
10 | F | 52 | 4 | Y(B+BM) | pdNB | HR-NBL1 | N | DTC | 3 | ||
11 | M | 14 | 4 | Y (BM) | uNB | NAR-99 | CR | Y | 9 | DOD | 10 |
12 | F | 40 | 4 | Y (B+BM) | pdNB | HR-NBL1 | PR | Y | 18 | DOD | 42 |
13 | M | 96 | 4 | Y (B+BM) | pdNB | HR-NBL1 | PR | N | AWD | 13 | |
16 | M | 50 | 4 | Y (B+BM) | uNB | HR-NBL1 | CR | Y | 4 | DOD | 27 |
17 | F | 15 | 4 | Y(B+BM+LN+ST) | pdNB | HR-NBL1 | VGPR | N | AWD | 48 | |
19 | M | 41 | 4 | Y (B+BM) | uNB | N-II-92 | CR | N | ADF | 77 |
M, male; F, female; N, no; Y, yes; B, bone; BM, bone marrow; LN, lymph nodes; ST, soft tissue; uNB, undifferentiated neuroblastoma; pdNB, poorly differentiated NB; nGNB, nodular ganglioneuroblastoma HR-NBL1, High-Risk Neuroblastoma Study 1;INES,Infants Neuroblastoma European Study, SIOPEN protocols; CR, complete response; VGPR, very good partial response; PR, partial response; DP, disease progression; SurPR, surgical partial resection; DOD, died of disease; DOS, died of sepsis; DTC, died of treatment complication, AWD, alive with disease; ADF, alive disease-free.
The patients have been listed according to the stage of disease. ID was assigned according to genetic aberrations of chromosome 2.
Table 2. Histopathological and genetic characteristics of the tumors.
FISH results | ||||||
ID | Pathology | % MNA | % 11q loss (% 11q imbalance) | %1p loss (% 1p imbalance) | % 17q gain | Ploidy |
1 | pdNB | 95 | 60 | 25 (10) | 60 | T |
14 | nGNB | <5 (het) | 60 | 0 | ND | ND |
5 | pdNB | 98 | 80 | 90 | 80 | D |
8 | uNB | 95 | 65 | 10 (10) | 65 | T |
15 | pdNB | 5 (het) | 50 | 20 | 80 | T |
18 | pdNB | 90 | 20 | 0 (10) | 50 | D |
2 | pdNB | 95 | 20 (50 ) | ND | ND | TE |
3 | uNB | 95 | 65 | 95 | 65 | D |
4 | uNB | 90 | 35 | 15 (80) | 50 | BD -TE |
6 | uNB | 95* | 20 | 31 (64) | 50 | T |
7 | pdNB | 98 | 20 | 98 | 0 | T |
9 | uNB | 95 | 50 | 90 (10) | 60 | T |
10 | pdNB | 90 | 20 | 80 | 50 | D |
11 | uNB | 15 (het) | 35 (35) | 60 (20) | 90 | T |
12 | pdNB | 30 (het) | 50 | 10 (5) | 60 | T |
13 | pdNB | 10 (het) | 70 | ND | ND | D |
16 | uNB | 35 (het) | 45 | 40 | ND | T-P |
17 | pdNB | 15 (het) | 25 | 20 (70) | ND | ND |
19 | uNB | 98 | 50 | 50 | 60 | ND |
uNB, undifferentiated neuroblastoma; pdNB, poorly differentiated NB; nGNB, nodular ganglioneuroblastoma; %, percentage; het, heterogeneous; ND, not done; D, diploid; BD, borderline diploid, T, triploid; TE, tetraploid; P, pentaploid.
All cases presented dmin except case number 5 (* dmin plus HSR).
The patients have been listed according to the stage of disease. ID was assigned according to genetic aberrations of chromosome 2.
Regarding histopathology, according to INPC guidelines eight tumors were undifferentiated NB, ten poorly-differentiated NB and one a nodular ganglioneuroblastoma [23] (Tables 1 and 2). Tumor cell content in all samples was 60% or more.
Overview of Genetic Markers
In our series of NB analyzed by FISH, MNA was found in 18% of the samples (163 out of 905 tumors). FISH was used to detect aberrations at 1p, 11q and 17q. In this series, 1p deletion was observed in 25% of the tumors (117 out of 477 samples), 11q deletion was detected in 19% of the tumors (92 cases out of 486 samples) and 38% of the samples showed 17q gain (160 out of 420 tumors). Of the 486 cases, 19 primary tumors (4%) presented MNA and 11q loss simultaneously. Table 2 summarizes the FISH and ploidy results for the nineteen primary tumors. Of the nineteen primary tumors, seven showed hetMNA, these cases are described in further detail below. Fifteen cases showed deletion in the 1p36 region. 17q gain was observed in all but one of the fourteen cases studied by FISH. Ploidy was analyzed in sixteen samples. Nine cases were triploid, one of which presented a pentaploid population.
We describe below the limits of the MYCN amplicon, the shortest regions of overlap (SROs) in the most recurrent deleted and gained regions, as well as other SCA sizes detected in the original tumors. In addition we provide the genetic intratumoral heterogeneity data.
Characterization of genetic markers
A good concordance was observed between MLPA and aSNP procedures in eighteen out of the nineteen original NB, taking into account the different resolutions of the methods (Figure 1; Table 3 and Table S1). Using aSNP results a high number of SCAs were found in the majority of the cases. The mean SCA of all the cases was 10.7 (range 4–23) (Figure 1 and Table S1). Figure S1 shows a graphic representation of MLPA/aSNP results in case 3 as an example.
Table 3. MLPA data.
ID | MLPA results |
1 | 1p−;1q−; MNA; 11q−; +17q |
2 | 1p−; MNA; 11q− |
3 | 1p−; MNA; +3q; 11q−; +17q |
4 | 1p−; MNA; +2p; 11q−; +17q |
5 | 1p−; MNA; 3p−; 9p−; +11p; 11q−; +17q |
6 | 1p−; MNA; 9pq−; 11q−; +17q |
7 | 1p−; MNA;+2q; 3p−; 11q−; 14q−;17p−; +17p |
8 | 1p−;+1p; MNA; +2p; +2q; +3q; +4q; +7q; 11q−; 17p−;+17q |
9 | 1p−; MNA; +2p; 11q−; +17q |
10 | 1p−; MNA; +2p; 3p−; 4p−; 4q−; 9p−; 11q−;+17q |
11 | 1p−; MNA; +2p; 6q−; 11q−; +12q; +17q |
12a | MYCN gain; 11q−; 14q−; +17q; |
12b | MNA; +11p, 11q−; 14q−; +17q |
13 | +1q; MNA; +2q; 3p-; +11p; 11q−; +12q; +14q; +17q |
14 | MNA; 11q−; 14q-; +17pq |
15a | 11q−; +17q |
15b | MYCN gain; 11q−; +17q |
16 | +1p; +2p; 3p−; 11q−; +17q |
17 | 1p−; 3p−; +7q; 11q−; 14q−+17q |
18 | +1pq; MNA; +17q |
INRG Biology Committee definitions [11]. MYCN amplification (MNA), up to 4-fold excess of signal numbers of the chromosomal region of interest compared with the reference signals; Gain (+), unbalanced ratio (high signal excess) between the signals of a gene and all other probes located on the same chromosome; Loss (−), unbalanced ratio (low signal excess) between the signals of the chromosomal region of interest (at least two adjacent probes) and the reference signals (at least two) of the chromosomal region of interest.
The cases have been listed according to chromosome 2 aberrations using pangenomic techniques.
Fifteen cases showed MNA by multilocus/pangenomic techniques. A great variability in the total region size of the MYCN amplicon (from 600 kb to 6.3 Mb) and amplicon gene composition between the tumors was found in both homMNA and hetMNA (Figure 1 and Table S1). Two different MNA patterns were found: simple amplification with one continuous region amplified (ten cases; three of which were hetMNA) and complex rearrangements with several discontinuous amplification regions (five cases; see Figure 1 cases indicated with *, and Figure 2A, 2B). Five out of fifteen cases showed both MNA and 2p gain. Three groups can be formed according to the genes included in the amplified MYCN region: only MYCN gene (case 5), DDX1-MYCN gene (cases 4 and 6), and DDX1-MYCN with NBAS (entirety or in part) genes (twelve samples). In the first two groups, most telomeric breakpoints of the MYCN amplicon were located slightly proximal to the fragile site FRA2Ctel at 2p24.3. In the third group the distal breakpoints were mapped within FRA2Ctel, a fragile site located at 2p24.2 (eight cases) or located more distally to this critical site (four cases) (Figure 2A). Case 2 presented an amplified peak at p23.2-23.1 containing the whole gene ALK within. Case number 4 showed one small amplification (2q 31.3–32.1) concomitantly with four amplification peaks in 2p region (Figure 2B). MLPA/aSNP verified deletion of the long arm of chromosome 11 in seventeen cases. The consensus region of 11q loss was from 111.7 to 134.5 Mb (q23-qter), SRO being 22.8 Mb. The mean size of 11q loss was 53.7 (range 22.8–64.9 Mb). The deleted region was uninterrupted in all cases except in case 7 (two breakpoints were displayed) (Figure 3A).
Twelve cases showed 1p loss using MLPA/aSNP techniques confirming the FISH results (Figure 3B). The consensus region of 1p loss ranged from 3.5 to 8.6 Mb, with 5.1 Mb of SRO. The mean size of 1p deletion was 65.3 Mb. Continuous deletion along 1p36 region was present in eleven cases with a larger deleted region in ten cases (deletion size >20 Mb) (Figure 3B). Case 8 presented complex chromosome 1 rearrangements with up to 7 SCAs in 1p-arm. Gain of 1q was observed in case 13. Loss of 1q was detected as terminal (case 1) and interstitial (case 12) (Figure 1 and Table S1). Case 18 presented a large gain region covering both the p and the q arms.
Sixteen cases presented 17q gain. In addition, case 8 showed 17p loss. In case 7 17p loss was observed (pter-14.4 Mb) by MLPA/aSNP without associated 17q gain (Figure 1 and Table S1). The mean 17q gain was 45.3 Mb. The consensus gained segment was rather large, extending from 47.1 Mb to qter (37.1 Mb) (Figure 3C).
Deletion in 3p was observed in 33% of cases (6/18). In cases 5 and 17, interstitial deletions were observed, while the rest of the cases showed common terminal 3p deletions. In case 10, deletions in both arms of chromosome 4 were seen. A small 4p deletion was observed in case 11 (size 10 Mb). Cases 5 and 10 showed an interstitial 9p deletion of 0.4 and 12.2 Mb respectively. A hemizygotic deletion of CDKN2A/B and MTAP genes, located in 9p21.3, was observed in case 5. Other chromosome rearrangements were found in several cases (Figure 1 and Table S1).
An aSNP allele analysis revealed several large copy neutral loss of heterozygosity (CN-LOH) in different chromosomes. CN-LOH was detected in four cases (1, 5, 10 and 12), although without satisfying the requirement for matched constitutional DNA. In case 1, eight chromosome regions presented CN-LOH (1q, 2p, 5q, 7p, 9p, 9q, 10p and 17p). Cases 5, 10 and 12 presented CN-LOH in chromosome 9p, 11p and 18q respectively.
Intratumoral heterogeneity
SCAs diagnosed by presence or absence of specific DNA sequences using fluorescent probes can be complex, with a miscellany of clones, some of which can remain hidden when using MLPA/aSNP approaches, resulting in different genetic states associated with the MYCN gene, and 11q, 1p and/or 17q chromosome regions within a single tumor. Intratumoral heterogeneity was present in cases 11 to 18 (42%) and considered as heterogeneous SCA (hetSCA) cases. Total percentages of neuroblasts with SCAs detected by FISH in the tumor cohort are presented in Table 2. Details of the different frequencies of clusters with SCA, NCA as well as disomic cells seen in the hetSCA tumors are presented in Table 4. Co-existence of cells with SCA along with NCA cells in the hetSCA tumors was often present for all analyzed markers. Co-existence of hetMNA and het11q-del was present in the 31.5% of the cases (six out of nineteen samples) analyzed by FISH. However, cases 14 and 15 showed co-existence of MNA neuroblastic cells and disomic tumor cells confirmed by histopathological study (data not shown). Multilocus/pangenomic data are shown in Figure 1, Table 3 and Table S1. MNA was detected in fourteen out of eighteen (77.8%) of the cases with these approaches. Regarding detection of hetMNA status (cases 11 to 17), multilocus/pangenomic techniques were accurate in three cases. Four out of seven hetMNA cases showed MNA in some of the pieces analyzed by MLPA/aSNP (cases 11 to 14). Case number 15 presented MYCN gain in one of the two pieces studied. A 2p gain of a large region (56 Mb) was detected in case 16. No SCA involving 2p was found in case 17. Three hetMNA cases (samples 12, 15, 16) were diagnosed as having heterogeneous 1p deletion. The percentage of tumor cells with this alteration by FISH ranged from 10 to 40%. Heterogeneity of 11q deletion (het11q-del) was found in case 18 (5.5%), where this aberration was revealed by FISH in only 20% of tumor cells, but was not shown by multigenomic analysis.
Table 4. FISH results in the heterogeneous cases (hetMNA and het11q-del).
ID | MYCN | 11q | 1p | 17q |
11 | 5∶35 15%; 5∶5 80%; 2∶2 5% | 2∶1 35%; 3∶2 35%; 3∶3 15%; 2∶2 15% | (4∶1, 5∶1, 6∶1) 60%; (4∶2,5∶2,6∶2,4∶3,5∶3,6∶3) 20%; 2∶2 20% | 2∶4 30%; 3∶5 30%; 3∶4 30%; 2∶2 10% |
12 | 2∶50–100 dmins 10%, 4∶50–100 dmins 20%; 4∶4 40%; 2∶2 30% | 2∶1 25%; 3∶1 25%; 3∶3 10%; 2∶2 40% | 2∶1 10%; 4∶2 5%; 4∶4 35%; 2∶2 50% | 2∶3 50%; 2∶4 15%; 2∶5 15%; 2∶2 20% |
13 | 2:>100 dmins 10%; 2∶3 40%; 4∶4 10%; 2∶2 40% | 3∶1 70%; 3∶3 10%; 4∶4 5%; 2∶2 15% | ND | ND |
14 | 2∶20 dmins <5%; 2∶2 95% | 2∶1 60%; 2∶2 40% | 3∶3 10%; 4∶4 15%; 2∶2 75% | ND |
15 | 2:>100 dmins 5%; 2∶2 95% | 2∶1 25%; 3∶1 25%; 3∶3 10%; 2∶2 40%, | 2∶1 20%; 2∶2 80% | 2∶3 50%; 2∶4 15%; 2∶5 15%; 2∶2 20% |
16 | (2∶10,2∶12) 35%; (4∶6,2∶3,2∶6) 30%; 2∶2 35% | 2∶1 15%; 3∶1 30%; 3∶3 15%; 2∶2 30% | 2∶1 40%; 2∶2 60% | ND |
17 | 4:>50 dmins 10%; 2:>50 dmins 5%; 4∶4 60%; 8∶8 5%; 2∶2 10% | 3∶1 25%; 3∶3 15%; 2∶2 60% | 4∶1 10%; 2∶1 10%; 4∶2 70%; 2∶2 10% | ND |
18 | 3:>100 dmins 20%, 2:>100 dmins 20%, 4:>100 dmins 50%; 2∶2 10% | 2∶1 20%; 2∶2 80% | 2∶3 10%; 4∶4 10%; 2∶2 80% | 2∶3 50%; 2∶2 50% |
Disomic cells (ratio 2∶2) and numeric alterations (ratios 3∶3; 4∶4…), balanced ratio between the signal numbers of chromosomal region of interest and the reference signals on the opposite arm of the chromosome; Cells with gain (ie ratios 2∶4; 3∶4…), signal numbers of the chromosomal region of interest exceed up to 4-fold the number of reference signals; Cells with imbalance (ie ratios 3∶2; 4∶3…), imbalance ratio between the signal numbers of chromosomal region of interest and the reference signals with more than 1 signals of chromosomal region of interest; Cells with deletion (ie. ratios 2∶1; 3∶1 4∶1…), unbalanced ratio between the signal numbers of the chromosomal region of interest and the reference signals with only 1 signal of the chromosomal region of interest; hetMNA, occurrence of clusters or as single cells with amplification (at least five cells per slide) surrounded by non-amplified tumor cells.
ND, not done.
The cases have been listed according to chromosome 2 aberrations using pangenomic techniques.
Discussion
NB tumors show a diverse behavior, and an algorithm of clinical, histopathological, and genetic factors has stratified the risk and delineated therapeutic decisions [6], [13], [20]. Nevertheless, NB demands improved characterization and a better understanding of how tumor biology drives specific clinical behavior, especially for those patients identified as having a high-risk phenotype [6]. The present study analyzes, for the first time, the genetic characteristics in the largest cohort to date of unusual neuroblastic tumors carrying MNA plus 11q deletion, using the aSNP technique in addition to FISH and MLPA techniques to obtain high resolution detection and mapping of numerical and structural genomic changes in these tumors.
MNA and allelic loss of 11q with single copy of MYCN are associated with advanced stage NB, and both are independent prognostic indicators for clinically high-risk patients [19], [22], [29]. Despite this, hetMNA status is not prognostically interpretable worldwide, and the effect of 11q loss on NB biology is not sufficiently clear [15], [21]. Several hypotheses have already been published related to the aggressiveness of hetMNA clone(s), varying from a ‘premalignant’ status lacking malignant properties to an invasiveness and metastatic potential comparable to homMNA tumors [12], [15], [16], [30]. Of the surviving patients described in this study, 60% correspond to cases with hetMNA; however, no significant prognostic differences in survival were found between patients with homMNA plus 11q-deleted tumors and the patients with hetMNA plus 11q deletion tumors. The homMNA w/o 11q-del and hom and hetMNA plus 11q-deleted groups were similar in terms of overall survival in the analyzed cohort. Previous studies showed a worse outcome in the group of MNA tumors plus 11q loss than in patients with MNA alone [22]. These differences could be due both to the presence of hetMNA tumors in our cohort and the low number of cases with homMNA. In fact, the survival analysis excluding hetMNA tumors showed a trend toward statistical differences in OS rates, suggesting a less aggressive nature for tumors with hetMNA than tumors with homMNA. The SIOPEN is now studying the dilemma created by these unusual cases. Studies of a large number of samples have shown differences in age at diagnosis between the MNA group and 11q-deleted group [22], [29]. In a recent study, the median age at diagnosis in MNA cases was lower than in the 11q loss group [19]. In the cohort of infrequent tumors herein presented, the median age at diagnosis was comparable to that of the group with MNA. A significantly higher frequency of chromosomal breaks has been reported in NB with 11q deletion than in MNA NB cases (12 versus 4) [19]. The cases analyzed here shared a high number of SCAs (mean 10.7; median 10) with the 11q-deleted group.
Both simple and complex types of MNA amplicon organization have been described using the aSNP technique in NB [31]–[33]. The copy number of the DDX1 gene, located in the close vicinity of MYCN, has controversial prognostic implication and was amplified in all but one of the cases analysed [32], [34]–[38]. NABS, overexpressed via MYCN co-amplification, may perturb the quantitative balance of complexes involved in cell-cycle-related events and membrane trafficking [36]. This gene was also frequently co-amplified with MYCN in our series. Co-amplification of the entire ALK gene is reported to occur rarely, it is observed only in patients with poor outcome, and is not a statistically significant independent marker for survival [39]. In this series, only one case presented ALK amplification. Recently, Blumrich et al. [40] suggested that MYCN amplicons arise from extra replication rounds of secondary DNA structures accumulated at FRA2Ctel and/or FRA2Ccen. Genomic location of the FRA2C subregion has been described, being able to accurately define the borders of the region using BAC clones. The complex genomic rearrangements in the boundaries of the common fragile sites (cFS) has led to the proposal of a dual role for the cFS in the generation of gross chromosomal rearrangements, either after DNA breakage or by inducing extra replication rounds [40]. Our results are consistent with this study and revealed that most amplicon borders were clustered within the FRAC2tel, and that most of the proximal amplicon borders were located in the region spanning 15.5 and 16.6 Mb on 2p. An association between MNA and 2p gain has been described previously [31], [32], [41]. In our study, 33% of the tumors with MNA presented 2p gain using MLPA/aSNP but, and in agreement with other studies, no relevant clinical differences in overall survival were observed between these samples and the samples without 2p gain (data not shown) [41].
In 11q-deleted cases, different candidate suppressor genes have been proposed [17]–[19]. The loss of one copy of the H2AFX gene (11q23.2–q23.3) has been described as the factor responsible for the genetic instability in the 11q-deleted NB due to its role in double-strand break repair and cancer susceptibility [19]. This hypothesis implies accepting that the 11q deletion event must occur early in tumorigenesis, despite the relatively old age of patients seen in some studies. However, studies of gene expression profiles suggest that 11q loss is acquired in unfavorable NB as a result of selective pressure and confers specific properties to the tumor, while MNA would be an earlier event [21], [42]. All the patients of the infrequent group described in this study presented tumors with neuroblasts with losses of gene H2AFX and with homMNA or hetMNA along with genetic instability and young age at diagnosis. We can hypothesize that a younger age can be related to loss of gene H2AFX and hetMNA as early events in tumorigenesis.
Simultaneous genomic imbalances can strengthen one another or act in combination, which may affect other perfectly-balanced genomic regions [43]. Deletions of chromosome arm 1p have been well characterized, and different SROs have previously been reported in NB, occurring in approximately 30–35% of primary NB and being highly correlated with MNA [6], [19]. There is evidence that one or more tumor suppressor genes involved in NB initiation and/or progression are localized to this region [44]. Tumors with MNA have 1p deletions extending proximal to 1p36, while MYCN non-amplified tumors, including cases with 11q loss, more often have small terminal deletions of 1p36 [19], [31]. Caren et al. [31] located an interstitial SRO between 17.2 Mb and 37 Mb for the MNA tumors and an SRO from 0 to 10.4 Mb for the second group. A larger study established the SRO at 5.3 Mb and 6.1 Mb [19]. Our SRO apparently matches with the SRO previously reported in tumors without MNA. Recently, a recurrent 17.9 Mb terminal deletion on distal chromosome 1q has been reported in association with high-risk NB with 11q deletion without MNA [45]. In our study, only one case presented a similar terminal deletion (19 Mb, q42.13-qter). Two possible candidate tumor suppressor genes located within the deleted segment are FH (fumarate hydratase) and EGLN1 (EGL nine homolog 1), implicated in other types of tumors [45]. Furthermore, different experiments suggested that chromosome 1q gain, seen in one case of this cohort, is associated with poor outcome in NB patients [1].
It is not surprising that the majority of the cases presented gain of 17q. Gain of genetic material on the long arm of chromosome 17 is very common in aggressive NB, irrespective of presence or absence of MNA. 17q gain and the breakpoint position on 17q may influence tumor behavior [46]. In our study, the MLPA/aSNP profile was confirmatory of a single 17q breakpoint (leading to a single region of gain) in all cases but one. The resulting copy number gain for 17q invariably implicated a large segment encompassing at least the distal part from approximately 41.7 Mb to qter. These results are in keeping with the results obtained in other high resolution studies where various oncogenes have been proposed [46]. Critical genes sensitive to a gene dosage effect contributing to NB pathogenesis could be located in the SRO (37.1 Mb) of our study. In addition, three of our cases presented 17p loss, an alteration that has been related with chemoresistant NB [47].
Loss of chromosome 3p is a frequent event in NB, occurring preferentially in tumors that exhibit loss of 11q [22]. In this study, samples showing loss of 3p had patterns equivalent to those previously described. Critical regions of minimal 3p loss contain multiple candidate tumor suppressor genes, which may contribute to NB pathogenesis [31], [48]. Other typical SCA with unclear prognostic significance in NB, such as deletion of 4p or 9p, were detected in the tumors analyzed [1]. Although, CN-LOH and homozygous deletions are rare events in NB, some cases have been reported and were present in the tumor cohort analyzed. Their clinical impact is unknown [31], [49]. As no matched constitutional DNA was investigated for any of our samples, no conclusion about acquired or inherited CN-LOH can be drawn.
High intra-sample genomic heterogeneity, characteristic of some NB, as well as stromal DNA contamination may explain discordant results between the techniques [8], [50]. When using multilocus/pangenomic techniques to analyse tumor samples, intratumoral genetic hetereogeneity, complex patterns of CNA, LOH events and polyploidy as well as normal DNA contamination effects must be considered. Current algorithms, although robust computational methods, try to correct for the presence of normal cells allowing at the same time the detection of CNA occurring in only a subset of cells. Up to now it has often been proved to be sub-optimal [27], [51]. Especially in NB, a single statistical framework able by itself to overcome the complex genetic heterogeneity should be used to improve the analysis of tumor pangenomic data. In this regard, FISH has a higher sensitivity because it detects the gene or region copy number at the single cell level and allows the correlation of morphologic details, while at the same time it is not affected by stromal contamination. As we present here, hetSCAs were not observed easily by MLPA/aSNP. Thus far, hetSCA status in NB can remain masked and is therefore difficult to diagnose, creating the need for additional information for diagnosis, prognostication and therapeutic decision making [12], .
In summary, we have made a detailed study of a subgroup of neuroblastoma with both MNA and 11q deletion. We found that this group of tumors has approximately the same high frequency of aberrations as earlier found for 11q deleted tumors, albeit not higher. These tumors represent a valuable model of genetic instability, revealing intratumoral heterogeneity in NB. An in-depth investigation of the genome of these same cases should be made in future studies, using new generation sequencing techniques to identify candidate genes associated with tumor progression and potential target genes for drug therapy in this subgroup of high-risk patients.
Supporting Information
Acknowledgments
We are grateful to J. Chaves, S. Blesa, E. Alonso and D. Harrison for their support.
Funding Statement
This study was supported by the grants: RD06/0020/0102 and PI10/0015 (ISCIII & ERDF); 396/2009 (FAECC); 09/1217 (Swedish Cancer Society); and 08/098 (Children’s Cancer Foundation). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Janoueix-Lerosey I, Schleiermacher G, Michels E, Mosseri V, Ribeiro A, et al. (2009) Overall genomic pattern is a predictor of outcome in neuroblastoma. J Clin Oncol 27: 1026–1033. [DOI] [PubMed] [Google Scholar]
- 2. Coco S, Theissen J, Scaruffi P, Stigliani S, Moretti S, et al. (2012) Age-dependent accumulation of genomic aberrations and deregulation of cell cycle and telomerase genes in metastatic neuroblastoma. Int J Cancer 131: 1591–1600. [DOI] [PubMed] [Google Scholar]
- 3. Molenaar JJ, Koster J, Zwijnenburg DA, van Sluis P, Valentijn LJ, et al. (2012) Sequencing of neuroblastoma identifies chromothripsis and defects in neuritogenesis genes. Nature 483: 589–593. [DOI] [PubMed] [Google Scholar]
- 4. Stigliani S, Coco S, Moretti S, Oberthuer A, Fischer M, et al. (2012) High genomic instability predicts survival in metastatic high-risk neuroblastoma. Neoplasia 14: 823–832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Morales La Madrid A, Nall MB, Ouyang K, Minor A, Raca G, et al.. (2012) Two cases of localized neuroblastoma with multiple segmental chromosomal alterations and metastatic progression. Pediatr Blood Cancer. [DOI] [PubMed]
- 6. Brodeur GM (2003) Neuroblastoma: biological insights into a clinical enigma. Nat Rev Cancer 3: 203–216. [DOI] [PubMed] [Google Scholar]
- 7. Schleiermacher G, Michon J, Ribeiro A, Pierron G, Mosseri V, et al. (2011) Segmental chromosomal alterations lead to a higher risk of relapse in infants with MYCN-non-amplified localised unresectable/disseminated neuroblastoma (a SIOPEN collaborative study). Br J Cancer 105: 1940–1948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Ambros IM, Brunner B, Aigner G, Bedwell C, Beiske K, et al. (2011) A Multilocus Technique for Risk Evaluation of Patients with Neuroblastoma. Clin Cancer Res 17: 792–804. [DOI] [PubMed] [Google Scholar]
- 9. Capasso M, Devoto M, Hou C, Asgharzadeh S, Glessner JT, et al. (2009) Common variations in BARD1 influence susceptibility to high-risk neuroblastoma. Nat Genet 41: 718–723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Maris JM (2010) Recent advances in neuroblastoma. N Engl J Med 362: 2202–2211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Schleiermacher G, Janoueix-Lerosey I, Ribeiro A, Klijanienko J, Couturier J, et al. (2010) Accumulation of segmental alterations determines progression in neuroblastoma. J Clin Oncol 28: 3122–3130. [DOI] [PubMed] [Google Scholar]
- 12. Noguera R, Canete A, Pellin A, Ruiz A, Tasso M, et al. (2003) MYCN gain and MYCN amplification in a stage 4S neuroblastoma. Cancer Genet Cytogenet 140: 157–161. [DOI] [PubMed] [Google Scholar]
- 13. Ambros PF, Ambros IM, Brodeur GM, Haber M, Khan J, et al. (2009) International consensus for neuroblastoma molecular diagnostics: report from the International Neuroblastoma Risk Group (INRG) Biology Committee. Br J Cancer 100: 1471–1482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Ambros PF, Ambros IM (2001) Pathology and biology guidelines for resectable and unresectable neuroblastic tumors and bone marrow examination guidelines. Med Pediatr Oncol 37: 492–504. [DOI] [PubMed] [Google Scholar]
- 15. Theissen J, Boensch M, Spitz R, Betts D, Stegmaier S, et al. (2009) Heterogeneity of the MYCN oncogene in neuroblastoma. Clin Cancer Res 15: 2085–2090. [DOI] [PubMed] [Google Scholar]
- 16. Kerbl R, Ambros IM, Ambros PF, Lackner H, Dornbusch HJ, et al. (2002) Neuroblastoma with focal MYCN amplification and bone marrow infiltration: a staging and treatment dilemma. Med Pediatr Oncol 38: 109–111. [DOI] [PubMed] [Google Scholar]
- 17. Ando K, Ohira M, Ozaki T, Nakagawa A, Akazawa K, et al. (2008) Expression of TSLC1, a candidate tumor suppressor gene mapped to chromosome 11q23, is downregulated in unfavorable neuroblastoma without promoter hypermethylation. Int J Cancer 123: 2087–2094. [DOI] [PubMed] [Google Scholar]
- 18. Michels E, Hoebeeck J, De Preter K, Schramm A, Brichard B, et al. (2008) CADM1 is a strong neuroblastoma candidate gene that maps within a 3.72 Mb critical region of loss on 11q23. BMC Cancer 8: 173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Caren H, Kryh H, Nethander M, Sjoberg RM, Trager C, et al. (2010) High-risk neuroblastoma tumors with 11q-deletion display a poor prognostic, chromosome instability phenotype with later onset. Proc Natl Acad Sci U S A 107: 4323–4328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Cohn SL, Pearson AD, London WB, Monclair T, Ambros PF, et al. (2009) The International Neuroblastoma Risk Group (INRG) classification system: an INRG Task Force report. J Clin Oncol 27: 289–297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Fischer M, Bauer T, Oberthur A, Hero B, Theissen J, et al. (2010) Integrated genomic profiling identifies two distinct molecular subtypes with divergent outcome in neuroblastoma with loss of chromosome 11q. Oncogene 29: 865–875. [DOI] [PubMed] [Google Scholar]
- 22. Spitz R, Hero B, Simon T, Berthold F (2006) Loss in chromosome 11q identifies tumors with increased risk for metastatic relapses in localized and 4S neuroblastoma. Clin Cancer Res 12: 3368–3373. [DOI] [PubMed] [Google Scholar]
- 23. Shimada H, Umehara S, Monobe Y, Hachitanda Y, Nakagawa A, et al. (2001) International neuroblastoma pathology classification for prognostic evaluation of patients with peripheral neuroblastic tumors: a report from the Children’s Cancer Group. Cancer 92: 2451–2461. [DOI] [PubMed] [Google Scholar]
- 24. Ambros IM, Benard J, Boavida M, Bown N, Caron H, et al. (2003) Quality assessment of genetic markers used for therapy stratification. J Clin Oncol 21: 2077–2084. [DOI] [PubMed] [Google Scholar]
- 25. Piqueras M, Navarro S, Canete A, Castel V, Noguera R (2011) How to minimise the effect of tumour cell content in detection of aberrant genetic markers in neuroblastoma. Br J Cancer 105: 89–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Melegh Z, Csernak E, Toth E, Veleczki Z, Magyarosy E, et al. (2005) DNA content heterogeneity in neuroblastoma analyzed by means of image cytometry and its potential significance. Virchows Arch 446: 517–524. [DOI] [PubMed] [Google Scholar]
- 27. Yamamoto G, Nannya Y, Kato M, Sanada M, Levine RL, et al. (2007) Highly sensitive method for genomewide detection of allelic composition in nonpaired, primary tumor specimens by use of affymetrix single-nucleotide-polymorphism genotyping microarrays. Am J Hum Genet 81: 114–126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Piqueras M, Navarro S, Canete A, Castel V, Noguera R (2011) Prognostic value of partial genetic instability in neuroblastoma with </ = 50% neuroblastic cell content. Histopathology 59: 22–30. [DOI] [PubMed] [Google Scholar]
- 29. Buckley PG, Alcock L, Bryan K, Bray I, Schulte JH, et al. (2010) Chromosomal and microRNA expression patterns reveal biologically distinct subgroups of 11q- neuroblastoma. Clin Cancer Res 16: 2971–2978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Ambros PF, Ambros IM, Kerbl R, Luegmayr A, Rumpler S, et al. (2001) Intratumoural heterogeneity of 1p deletions and MYCN amplification in neuroblastomas. Med Pediatr Oncol 36: 1–4. [DOI] [PubMed] [Google Scholar]
- 31. Caren H, Erichsen J, Olsson L, Enerback C, Sjoberg RM, et al. (2008) High-resolution array copy number analyses for detection of deletion, gain, amplification and copy-neutral LOH in primary neuroblastoma tumors: four cases of homozygous deletions of the CDKN2A gene. BMC Genomics 9: 353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Fix A, Lucchesi C, Ribeiro A, Lequin D, Pierron G, et al. (2008) Characterization of amplicons in neuroblastoma: high-resolution mapping using DNA microarrays, relationship with outcome, and identification of overexpressed genes. Genes Chromosomes Cancer 47: 819–834. [DOI] [PubMed] [Google Scholar]
- 33. Kryh H, Abrahamsson J, Jegeras E, Sjoberg RM, Devenney I, et al. (2011) MYCN amplicon junctions as tumor-specific targets for minimal residual disease detection in neuroblastoma. Int J Oncol 39: 1063–1071. [DOI] [PubMed] [Google Scholar]
- 34. de Souza DR, Sanabani SS, de Souza AC, Filho Odone V, Epelman S, et al. (2010) Prognostic impact of MYCN, DDX1, TrkA, and TrkC gene transcripts expression in neuroblastoma. Pediatr Blood Cancer 56: 749–756. [DOI] [PubMed] [Google Scholar]
- 35. Defferrari R, Tonini GP, Conte M, Papio F, Sementa AR, et al. (2007) Concomitant DDX1 and MYCN gain in neuroblastoma. Cancer Lett 256: 56–63. [DOI] [PubMed] [Google Scholar]
- 36. Kaneko S, Ohira M, Nakamura Y, Isogai E, Nakagawara A, et al. (2007) Relationship of DDX1 and NAG gene amplification/overexpression to the prognosis of patients with MYCN-amplified neuroblastoma. J Cancer Res Clin Oncol 133: 185–192. [DOI] [PubMed] [Google Scholar]
- 37.De Preter K, Speleman F, Combaret V, Lunec J, Board J, et al.. (2005) No evidence for correlation of DDX1 gene amplification with improved survival probability in patients with MYCN-amplified neuroblastomas. J Clin Oncol 23: 3167–3168; author reply 3168–3170. [DOI] [PubMed]
- 38. Weber A, Imisch P, Bergmann E, Christiansen H (2004) Coamplification of DDX1 correlates with an improved survival probability in children with MYCN-amplified human neuroblastoma. J Clin Oncol 22: 2681–2690. [DOI] [PubMed] [Google Scholar]
- 39. De Brouwer S, De Preter K, Kumps C, Zabrocki P, Porcu M, et al. (2010) Meta-analysis of neuroblastomas reveals a skewed ALK mutation spectrum in tumors with MYCN amplification. Clin Cancer Res 16: 4353–4362. [DOI] [PubMed] [Google Scholar]
- 40. Blumrich A, Zapatka M, Brueckner LM, Zheglo D, Schwab M, et al. (2011) The FRA2C common fragile site maps to the borders of MYCN amplicons in neuroblastoma and is associated with gross chromosomal rearrangements in different cancers. Hum Mol Genet 20: 1488–1501. [DOI] [PubMed] [Google Scholar]
- 41. Jeison M, Ash S, Halevy-Berko G, Mardoukh J, Luria D, et al. (2010) 2p24 Gain region harboring MYCN gene compared with MYCN amplified and nonamplified neuroblastoma: biological and clinical characteristics. Am J Pathol 176: 2616–2625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. McArdle L, McDermott M, Purcell R, Grehan D, O’Meara A, et al. (2004) Oligonucleotide microarray analysis of gene expression in neuroblastoma displaying loss of chromosome 11q. Carcinogenesis 25: 1599–1609. [DOI] [PubMed] [Google Scholar]
- 43. Gagos S, Irminger-Finger I (2005) Chromosome instability in neoplasia: chaotic roots to continuous growth. Int J Biochem Cell Biol 37: 1014–1033. [DOI] [PubMed] [Google Scholar]
- 44. Henrich KO, Bauer T, Schulte J, Ehemann V, Deubzer H, et al. (2011) CAMTA1, a 1p36 tumor suppressor candidate, inhibits growth and activates differentiation programs in neuroblastoma cells. Cancer Res 71: 3142–3151. [DOI] [PubMed] [Google Scholar]
- 45. Fieuw A, Kumps C, Schramm A, Pattyn F, Menten B, et al. (2011) Identification of a novel recurrent 1q42.2–1qter deletion in high risk MYCN single copy 11q deleted neuroblastomas. Int J Cancer 130: 2599–2606. [DOI] [PubMed] [Google Scholar]
- 46. Vandesompele J, Michels E, De Preter K, Menten B, Schramm A, et al. (2008) Identification of 2 putative critical segments of 17q gain in neuroblastoma through integrative genomics. Int J Cancer 122: 1177–1182. [DOI] [PubMed] [Google Scholar]
- 47. Carr J, Bell E, Pearson AD, Kees UR, Beris H, et al. (2006) Increased frequency of aberrations in the p53/MDM2/p14(ARF) pathway in neuroblastoma cell lines established at relapse. Cancer Res 66: 2138–2145. [DOI] [PubMed] [Google Scholar]
- 48. Hoebeeck J, Michels E, Menten B, Van Roy N, Eggert A, et al. (2007) High resolution tiling-path BAC array deletion mapping suggests commonly involved 3p21-p22 tumor suppressor genes in neuroblastoma and more frequent tumors. Int J Cancer 120: 533–538. [DOI] [PubMed] [Google Scholar]
- 49. Thompson PM, Maris JM, Hogarty MD, Seeger RC, Reynolds CP, et al. (2001) Homozygous deletion of CDKN2A (p16INK4a/p14ARF) but not within 1p36 or at other tumor suppressor loci in neuroblastoma. Cancer Res 61: 679–686. [PubMed] [Google Scholar]
- 50. Villamon E, Piqueras M, Berbegall AP, Tadeo I, Castel V, et al. (2011) Comparative study of MLPA-FISH to determine DNA copy number alterations in neuroblastic tumors. Histol Histopathol 26: 343–350. [DOI] [PubMed] [Google Scholar]
- 51. Assie G, LaFramboise T, Platzer P, Bertherat J, Stratakis CA, et al. (2008) SNP arrays in heterogeneous tissue: highly accurate collection of both germline and somatic genetic information from unpaired single tumor samples. Am J Hum Genet 82: 903–915. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.