Skip to main content
UKPMC Funders Author Manuscripts logoLink to UKPMC Funders Author Manuscripts
. Author manuscript; available in PMC: 2010 Feb 4.
Published in final edited form as: J Neuropathol Exp Neurol. 2006 Jun;65(6):549–561. doi: 10.1097/00005072-200606000-00003

High resolution array-based comparative genomic hybridisation of medulloblastomas and supra-tentorial primitive neuroectodermal tumours

Martin Gerard McCabe 1, Koichi Ichimura 1, Lu Liu 1, Karen Plant 1, L Magnus Bäcklund 2, Danita M Pearson 1, Vincent Peter Collins 1
PMCID: PMC2816352  EMSID: UKMS2695  PMID: 16783165

Abstract

Medulloblastomas and supratentorial primitive neuroectodermal tumours are aggressive childhood tumours. We report our findings using array comparative genomic hybridisation (CGH) on a whole-genome BAC/PAC/cosmid array with a median clone separation of 0.97Mb to study 34 medulloblastomas and 7 supratentorial primitive neuroectodermal tumours. Array CGH allowed identification and mapping of numerous novel small regions of copy number change to genomic sequence, in addition to the large regions already known from previous studies. Novel amplifications were identified, some encompassing oncogenes, MYCL1, PDGFRA, KIT and MYB, not previously reported to show amplification in these tumours. In addition, one supratentorial primitive neuroectodermal tumour had lost both copies of the tumour suppressor genes CDKN2A & CDKN2B. Ten medulloblastomas had findings suggestive of isochromosome 17q. In contrast to previous reports using conventional CGH, array CGH identified three distinct breakpoints in these cases: Ch 17: 17940393-19251679 (17p11.2, n=6), Ch 17: 20111990-23308272 (17p11.2-17q11.2, n=4) and Ch 17: 38425359-39091575 (17q21.31, n=1). Significant differences were found in the patterns of copy number change between medulloblastomas and supratentorial primitive neuroectodermal tumours, providing further evidence that these tumours are genetically distinct despite their morphological and behavioural similarities.

Keywords: Medulloblastoma, supratentorial primitive neuroectodermal tumour, array-CGH, genomic copy number

INTRODUCTION

Medulloblastoma is a highly malignant invasive embryonal tumour of the cerebellum and one of the most common solid tumours of childhood. Supratentorial primitive neuroectodermal tumour (stPNET) is a related tumour found in the cerebrum or suprasellar region (1). Current management of both tumours involves surgery, aggressive chemotherapy, and craniospinal radiotherapy. Long-term survival figures are generally poor (around 60% 5-year survival). Furthermore, because the developing brain is exposed to therapy, debilitating long-term sequelae occur in the majority of cases. An increased understanding of the genetic and molecular mechanisms underlying the development of these tumours will lead to innovative treatments that specifically target the molecular abnormalities of the tumour cells.

Conventional cytogenetic and molecular genetic techniques, including conventional comparative genomic hybridisation (CGH), have uncovered some chromosomal abnormalities consistently found in these tumours. The most commonly reported single change, present in 30-50% of cases of medulloblastoma, is isochromosome 17q (i(17q)); losses on 8p, 10, 11, 16q, 17p, 19, 20, 22, X & Y and gains of 1q, 2p, 4q, 6q, 7, 9p, 13q, 17q & 18 are also reported to occur frequently (2-10). Relatively little is known of the biology of stPNETs. They were grouped in the same diagnostic category as medulloblastomas prior to the most recent WHO guidelines (1), and the two tumours continue to be treated along similar lines. However, although i(17q) is a frequent finding in medulloblastomas, its presence has not been documented in stPNETs, emphasizing that while embryonal tumours of the central nervous system may share similar morphology, they constitute a diverse group of genetically distinct tumour types (8; 11).

Although conventional CGH detects large regions of copy number change, the resolution of array-based CGH is far higher and is dependent primarily on the size and spacing of adjacent clones. In this study we use a 1Mb whole genome BAC/PAC/cosmid array to analyse a series of medulloblastomas and stPNETs. We report several novel amplifications, some of which encompass known oncogenes not previously known to be involved in medulloblastomas or stPNETs. We report novel non-random copy number changes. Additionally, because array CGH allows higher resolution than conventional CGH and karyotyping for the detection of boundaries between regions of normal and altered copy number, we are able to refine the boundaries of some known alterations.

MATERIALS AND METHODS

Patients, tumour tissue and DNA isolation

A total of 34 medulloblastoma samples from 32 patients were included in the analysis. Histopathological classification was according to the most recent WHO recommendations (1). All medulloblastomas were classic medulloblastomas; there were no desmoplastic or large-cell variants. In total, 31 samples were from primary tumours: three of these were from patients with metastatic disease at initial presentation whose metastases were not sampled (PM27, PM35, PM50). In addition, 2 samples were from the sites of relapsed disease (PM5 and PM17R); for one of these we had samples from initial presentation (PM17) and relapse (PM17R). One sample (PM13) was from a recurrent cerebral metastasis. For this patient we had tissue from primary tumour (PM33) and metastasis (PM13). At tumour resection the median age of the patients with medulloblastoma was 8.9 years (range 0.6 to 41.0 years). Also included were 7 cerebral PNETs, of which 2 were recurrent tumours. The patients with stPNET had median age 3.3 years (range 2.7 to 23 years). The tumours were resected at the Karolinska Hospital, Stockholm and the Sahlgrenska University Hospital, Gothenburg, Sweden, between 1987 and 1997. Tumour specimens were selected for DNA extraction following histological examination to ensure a minimum composition of 85% tumour cells.

DNA was extracted from frozen tumour pieces and blood lymphocytes as described previously (12). Tumour samples were stored at −135°C and blood was stored at −20°C prior to DNA extraction. Extracted DNA was stored at −80°C.

Construction of genomic arrays

The 1Mb array clone set was obtained from the Wellcome Trust Sanger Institute (13). An additional 43 BAC clones were added to the 1Mb clone set to give a higher clone density at certain genomic regions. Drosophila clones (n=6) were used to calculate background signal due to non-specific DNA binding. The complete list of clones used in analysis is described in Supplemental Data 1. Clone positions quoted are according to the NCBI 35 assembly of the human genome (Ensembl release 26.35.1, November 2004). Preparation of the array was based on the protocols used by the Wellcome Trust Sanger Institute, Cambridge, UK, with minor modifications ((13) and (14)). Briefly, clone DNA was extracted and amplified using three DOP primers. The 3 DOP-PCR products were mixed and amplified using a 5′-amine-modified universal primer. Amine-linked PCR products were arrayed onto amine-binding slides (CodeLink, Amersham Biosciences, Little Chalfont, Buckinghamshire, UK) in duplicate as described and stored at room temperature. Each array was composed of 24 blocks; Drosophila clones and clones from individual chromosomes were evenly distributed throughout all blocks.

Certain findings from the 1 Mb array were analysed in more detail using overlapping clones from the relevant chromosomal tiling path clone sets or 32k clone sets obtained from the Wellcome Trust Sanger Institute (listed in Supplemental Data 2). These were arrayed randomly throughout blocks in duplicate in conjunction with a whole-chromosome tiling path array composed of 16 blocks (data not shown). Clone preparation was as described above.

Labelling and hybridization to microarrays

Labelling and hybridisations were performed essentially as we have described previously (14). Briefly, 400 ng of test and reference DNA were labelled using a Bioprime Labelling Kit (Invitrogen, Carlsbad, CA) with a modified dNTP reaction mixture as previously described. Test DNA was hybridized with sex-mismatched reference DNA from samples of pooled blood from 20 normal males or 20 normal females. The labelled and purified test and reference DNA were mixed and co-precipitated with 45μg Cot1 DNA (Roche Diagnostics, Mannheim, Germany). The precipitated DNA was dissolved in hybridisation buffer, incubated at 37°C for 2 hours and hybridised to the array which had been pre-hybridised with 400μg herring sperm DNA (Sigma-Aldrich, St Louis, MO) and 80μg Cot1 DNA. Arrays were allowed to hybridise for up to 48 hours at 37°C then washed as described.

Array analysis

Arrays were scanned and analysed as described elsewhere (14). In control normal male/normal female hybridisations (n=6), fluorescence ratios were found to follow a roughly normal distribution about their mean value. Therefore, our threshold for making single copy loss and gain decisions was three standard deviations from the mean ratio, equivalent to a log2 ratio of −0.21 for loss and +0.18 for gain. Furthermore, clones whose log2 ratios exceeded these threshold values in normal-normal hybridisations were permanently excluded from the array. Following the removal of these clones, other clones were excluded on an array-by-array basis. Briefly, for each array, any spot with an intensity in the Cy3 channel (reference) of less than quadruple the average intensity of 6 Drosophila BAC spots was excluded from analysis. Spots were also excluded if there was overlying artefact, poor morphology or a difference in ratios of greater than 10% between duplicates. The choice of 10% difference between duplicates was arbitrary and led to the exclusion of a median of 1 clone (range 0 – 29) per array. This and the other stated reasons for spot exclusion could potentially lead to a reduction in array resolution. Therefore, arrays were repeated if more than 5% of spots were excluded. Following repeats, a maximum of 4.3% of spots were excluded per sample (mean 3.4%, range 1.3 – 4.3%). For the remaining non-excluded spots, local background intensity was subtracted from the median foreground intensity for each channel, fluorescence ratios were calculated for each spot and the ratios of duplicate spots were averaged. To control for spatial variation across the slides, a print-tip block normalization to the median percentile was performed by calculating the median test/reference spot intensity ratio for each block and dividing individual averaged clone test/reference ratios by this value. Because the majority of hybridisations were sex-mismatched (the exceptions were repeat hybridisations with constitutional DNA from the same patient to confirm somatic copy number changes), decisions on copy number change were confined to autosomal clones. The results were analysed using plots of log2 normalised Cy5:Cy3 intensity ratios (ordinate) against clone position (abscissa).

Our threshold log2 ratios for judging copy number change (based on normal diploid samples) were −0.21 for loss and +0.18 for gain. In some cases clones showing log2 ratios less than these threshold values were also scored as showing loss or gain if the log2 ratios of several adjacent clones were visibly different from the baseline log2 ratio for that sample. A near-triploid sample showing single copy loss or gain of a locus would be expected to have log2 ratios of −0.58 and +0.42 respectively for the lost and gained regions. A near-tetraploid sample would be expected to show log2 ratios of −0.42 and +0.32 respectively for single copy loss and gain. In both cases, these values fall outside of our threshold, allowing us to judge single copy loss and gain in all variations of DNA ploidy frequently seen in medulloblastomas and stPNETs. In the normal-normal hybridisations the median log2 ratio of all autosomal clones was zero. Due to the difference in the number of X chromosomes between male (single copy) and female (2 copies), chromosome X clones displayed a median log2 ratio between −0.55 and −0.67 for male (test) versus female (reference) hybridisations (see Figure 1) and +0.66 to +0.67 for female (test) versus male (reference) hybridisations. These values lay outside our threshold values of −0.21 for judging loss and +0.18 for gain, demonstrating the ability of our array to detect single copy loss and gain.

Figure 1. Demonstration of the ability of the array to detect single copy loss and gain.

Figure 1

The log2 ratio of test/reference fluorescence is shown for a normal male (Cy5) versus normal female (Cy3) hybridisation. Clones are arranged in genomic order from 1pter (left) to Yqter (right). The horizontal lines parallel to the y=0 line represent the log2 values of the mean +/− 3 standard deviations of fluorescence ratios of all autosomal clones in several normal-normal hybridisations. The X clones show loss and Y clones show gain in this male (test) vs female (ref) hybridisation.

With each revision of the human genome assembly, mapping position of a proportion of clones is changed. Therefore, clones mapped to multiple locations under the NCBI 35 assembly and those displaying an inconsistent log2 ratio compared to neighbouring clones in multiple cases were considered unreliable and were excluded. Following exclusion of these unrelieable clones and clones whose log2 ratios exceeded the threshold values in normal-normal hybridisations, 3038 clones were used in analysis (2555 BACs, 477 PACs and 6 cosmids). Clones varied in size between 0.141 kb and 288 kb (mean clone size 152 kb). The mean mid-clone separation was 0.97 Mb. In reality this does not translate into the actual resolution across the whole array because of the irregular spacing of clones and the size of individual clones. Some regions, primarily centromeres, had a mid-clone separation significantly greater than 0.97 Mb. However, the separation was less than 1 Mb in 61.4% of adjacent clones, less than 2 Mb in 94.2% of adjacent clones and less than 3 Mb in 98.4% of adjacent clones.

The majority of regions showing copy number change involved several adjacent clones. However, in some cases, single clones showed copy number alterations without neighbouring clones showing similar change. To decide which of these single clone changes were due to germline variation, a set of hybridisations (n=6) was performed comparing tumour DNA and constitutional DNA from the same patient. In the case of germline variation these single clone copy number changes disappeared because they were present both in tumour and constitutional DNA. Of all loci affected by single clone copy number alteration (n=170), we analysed 70 against constitutional DNA from the same patient: 7 of these 70 loci (10%) revealed germline copy number change (affected clones are listed in Supplementary Data 3). The majority of single clone changes were found to be reproducible on repeat hybridisations (repeat hybridisations were carried out for several reasons including: to confirm certain changes such as homozygous deletions and high-level amplifications; to confirm certain single clone changes seen in multiple cases; to correct technically poor initial hybridisations). Single clone changes that were not reproducible are not reported.

Homozygous loss was judged if clones showed a log2 ratio of greater amplitude than −1.0. High-level amplifications were judged if clones had a log2 ratio of greater than +1.0 or ≥ 1.0 more than that of the other clones for that chromosome if occurring on a chromosome exhibiting copy number gain. In practice all amplifications were surrounded by genome of normal copy number except for two amplifications on chromosome 2 for PM34, where the amplicon log2 ratios were more than 30x the surrounding copy number gain. Copy number was estimated where appropriate (for instance in assessing degree of amplification) by multiplying the unlogged fluorescence ratio by modal copy number. A modal copy number of 2 was assumed for those cases where this was not known from interphase FISH experiments.

Microsatellite analysis

Microsatellite analysis was performed as described previously (15) using 9 markers from both arms of chromosome 6: D6S470, D6S429, D6S260, D6S276, D6S430, D6S1572, D6S441, D6S415, D6S1581 and 8 markers from both arms of chromosome 17: D17S849, D17S947, D17S921, D17S975, D17S932, D17S790, D17S794, D17S929. The primer sequences were those publicly available (http://www.ensembl.org/Homo_sapiens).

Interphase fluorescent in situ hybridisation

In cases for which formalin-fixed paraffin-embedded tissue was available, interphase fluorescent in situ hybridisation (I-FISH) was performed primarily to identify a chromosome with an absolute copy number of 2 in each case, thereby providing an anchor against which to perform supervised copy number analysis. In addition we used I-FISH to confirm certain copy number changes suggested by array CGH. Based on the array CGH results, chromosomes 7, 10, 17 and 18 were chosen to fulfil these purposes. A tissue microarray was constructed as follows. Cores (n=4 for each case) of 0.6mm diameter were taken from areas identified on haematoxylin and eosin-stained sections to be representative tumour tissue from 6 medulloblastomas and 2 stPNETs and arrayed into a fresh paraffin block using a manual tissue arrayer (Beecher Instruments, Silver Spring, MD, USA). Five-micrometer sections from the array were placed on positively charged slides and dried overnight at 37°C. Following de-waxing in xylene and dehydration in 100% ethanol, the slides were pre-treated in 1M sodium thiocyanate at 72°C for 10 minutes and washed briefly in 2×SSC. Protein digestion in Proteinase K (200μg/ml, 45°C) was performed for 45 minutes. The slides were washed in 2×SSC and dual colour FISH reactions were performed using commercial centromeric alpha satellite probes. FISH probes for chromosomes 7 (spectrumOrange) and 17 (spectrumGreen) in combination and for chromosomes 10 (spectrumOrange) and 18 (spectrumGreen) in combination were assessed (Vysis, Downers Grove, IL, USA). Probe hybridisation was performed according to the manufacturer's instructions. The slides were counterstained with VECTASHIELD® HardSet Mounting Medium with DAPI (Vector Laboratories, Peterborough, UK). Nuclei were viewed using a Zeiss Axiophot epifluorescence microscope equipped with a ×63 oil immersion objective and filter sets for DAPI, spectrumOrange and FITC. Normal ranges were based on figures obtained by counting 500 nuclei of normal cerebral grey and white matter.

Semi-quantitative Multiplex PCR

Primers for part of exon 2 of MYCL1 (forward primer TGACTGCGGGGAGGATTTCTAC; reverse primer CGTATGATGGAGGCGTAGTTCCTG), part of exon 3 of PDGFRA (forward primer TCATCCTTTTCTCTGAGATGCTTTG; reverse primer GCCTTCAAGCTCATTCTCTTCTGTC) or part of exon 15 of MYB (forward primer GGGAGTTCTGCATTTGATCCG; reverse primer GCTACAAGGCAGTAAGTACACCGTC), together with primers for a control locus (D2S1743, forward primer ATGCAGGTTTGGCCATTC; reverse primer ATGAACCCAGGTGGTGTCAT) were used in a multiplex PCR. The multiplex reactions included 250 μM of each dNTP, 2.0 mM (MYCL1 and MYB reactions) or 2.5 mM (PDGFRA reaction) MgCl2, 25 mM DMSO (MYCL1 reaction only), the appropriate test primer concentration (1.5 μM for MYCL1, 0.5 μM for PDGFRA and MYB), the appropriate control primer concentration (0.25 μM for MYCL1 reaction, 0.5 μM for PDGFRA and MYB reactions), 0.5 U Thermostart® DNA polymerase and reaction buffer supplied by the manufacturer (ABgene UK, Epson, UK) and 10 ng of DNA template in a 20 μl reaction. We had previously optimised reaction conditions and had shown a near-linear relationship between template and product at cycle numbers of around 28. PCR conditions were as follows: initial denaturation at 94 °C for 10 mins; 94 °C for 30 seconds, 55 °C for 30 seconds, 72 °C for 30 seconds for 28 cycles; final extension at 72 °C for 5 minutes. PCR product was run on a 3% agarose gel containing ethidium bromide 500 μg/l. Images were viewed using a GelDoc-It Imaging System (Ultra-Violet Products Ld, Cambridge, UK) and band intensities analysed using the manufacture's analysis software. One multiplex reaction for each test locus was performed using normal control DNA as a template. Copy number was estimated using the formula:

Copy number=2×(Text locus intensity / control locus intensity(test DNA))(Text locus intensity / control locus intensity(control DNA))

where test locus = MYCL1, PDGFRA or MYB and control locus = D2S1743.

Statistical analysis

Fisher's exact test was used to compare the frequency of specific findings between medulloblastomas and stPNETs.

RESULTS

Array Comparative Genomic Hybridisation of Medulloblastomas

In total, 34 medulloblastomas were analysed using our 1Mb whole genome BAC/PAC/cosmid array. The medulloblastomas had a median of 13 alterations in copy number per sample (range 2 to 28). The complete list of normalised log2 ratios for each case are given in Supplemental Data 1.

Three high-level amplifications were seen in two tumours. All amplicons were confirmed using semi-quantitative multiplex PCR and/or array CGH using tiling path arrays of the region. The PCR quantitation and tile-path array results are summarised in Table 1. Two amplicons in medulloblastomas encompassed known oncogenes, MYCN and MYCL1. High-level amplification of MYCL1 is a novel finding in medulloblastomas. The first tumour, PM22, had amplification of 2 adjacent clones RP1-118J21 and RP4-739H11, Ch 1: 39894236-40857027 (1p34.2). The amplified clones encompassed MYCL1 and were surrounded by the non-amplified clones RP11-113D13 and RP11-342M1. Semi-quantitative multiplex PCR confirmed amplification of the MYCL1 gene. Further examination of the MYCL1 region using a tile-path array revealed a 3.31 Mb amplicon extending from clone RP1-110F11 to RP5-994D16, Ch 1: 39720241- 42788785 (Figure 2). The second tumour, PM34, had two discrete amplicons, both involving chromosome 2. Further analysis (Table 1) revealed the first amplicon identified by the 1 Mb array to contain only the genes MYCN and MYCNOS (Ch 2: 15965376- 16196294). However, the second amplicon consisted of two small adjacent amplicons. Ch 2: 41659940-42030267 and Ch 2: 42317971-42576890 (Figure 3).

Table 1.

Results of semi-quantitative multiplex PCR of genes shown to be amplified by 1 Mb array CGH and tile-path array CGH of the regions surrounding amplified clones

Case Chromosome 1 Mb clones
amplified
Tilepath
clones
amplified
Length
of
amplicon
Genes involved in
amplicon
Maximum
log2 ratio
Copy number
estimated
from
multiplex
PCR
PM 22 1 RP1-118J21
RP4-739H11
RP1-144F13
to
RP4-692D3*
3.31 Mb BMP8B
CAP1
CITED4
COL9A2
CTPS
EDN2
GUCA2A
GUCA2B
HEYL
HIVEP3
HPCAL4
KCNQ4
MYCL1
NFYC
NT5C1A
OXCT2
PPIE
PPIH
PPT1
RIMS3
RLF
SCMH1
TRIT1
ZMPSTE24
ZMYND12
2.8 31
PM 34 2 RP11-355H10 RP11-355H10
RP11-495A22
230.9 kb MYCN MYCNOS 3.7 nd
RP11-299C5
RP11-478M12
RP11-8M15
RP11-478M12
RP11-459K11
390.3 kb - 5.3 nd
RP11-379A23
RP11-299C5
278.9 kb EML4
COX7A2L
KCNG3 3.2 nd
PM 3 4 RP11-157C8
RP11-18M17
RP11-12J3
RP11-231C18
RP11-4K13
to
RP11-238M7*
1.81 Mb FIP1L1
LNX
CHIC2
PDGFRA
KIT
3.3 15
PM 36 6 RP11-13J16 RP11-13J16
RP4-668J24
RP11-157J24
271.5 kb FOXQ1 FOXF2 3.5 nd
RP1-32B1 RP3-352A20
to
RP11-371H1*
1.19 Mb ALDH8A1
HBS1L
MYB
AHI1
PDE7B
4.0 34
RP11-3B11 RP11-439F21
to
RP11-106E7*
778.3 kb PHACTR2
PLAGL1
SF3B5
STX11
UTRN
3.5 nd
PM 51 19 CTD-2337J16 RP11-351G16
CTD-2337J16
356.2 kb CACNG8
CACNG6
NDUFA3
PRPF31
CNOT3
LENG1
TMC4
LENG4
RPS9
LILRB5
1.51 nd
*

range refers the clone sets described in Supplemental Data 2. All tile-path clones between these limits were amplified.

calculated according to the formula in Materials and Methods CGH, comparative genomic hybridisation; PCR, polymerase chain reaction; ND, not done.

Figure 2. High-level amplification of MYCL1.

Figure 2

(A) High-level amplification of 2 adjacent clones was seen on 1 Mb array CGH. Semi-quantitative multiplex PCR was performed using primers for exon 2 of MYCL1 (A, top figure, arrow) and a control locus, D2S1743 (A, bottom figure, arrow) which did not show copy number change. Clones are depicted from pter (far left) to qter (far right) (B) MYCL1:control intensity ratios are shown following normalisation to the control constitutional DNA ratio (‘Norm’). PM 22 showed high-level amplification of exon 2 of MYCL1. (C) A tile-path array of the region confirmed a 3.31 Mb amplicon containing MYCL1 (position arrowed). The clones used are listed in Supplemental Data 2.

Figure 3. High-level amplifications on chromosome 2.

Figure 3

Case PM34 had two separate amplicons on chromosome 2. Log2 normalised Cy5:Cy3 intensity ratios (ordinate) are plotted against clone position (abscissa) from 2p telomere (far left) to 2q telomere (far right). (B) Tiling path array CGH of the first amplicon showed amplification of clones RP11-355H10 and RP11-495A22, encoding the oncogenes MYCN and MYCNOS. (C) The larger amplicon was composed of 2 smaller amplicons containing several genes, detailed in Table 1.

Medulloblastomas displayed several consistent copy number changes. The frequency of gain and loss of individual clones is shown in Figure 4. Gain of chromosome 17: 50112652-78374826 was the most common aberration, present in 20 of 34 cases (59%). All cases with loss of 17p also had gain of 17q. The converse was not true however; some cases showed gain of 17q without loss of 17p (n=3) or gain of the whole of chromosome 17 (n=5). In those cases with findings suggestive of isochromosome 17q (loss of 17p and gain of 17q), array CGH identified three distinct breakpoints, illustrated in Figure 5. The breakpoint found most frequently, between clones RP11-189D22 and RP1-162E17 (Ch 17: 17940393-19251679, 17p11.2) was seen in 6 cases. Four cases had a peri-centromeric breakpoint, between RP11-121A13 and RP11-138P22, Ch 17: 20111990-23308272 (17p11.2-17q11.2). The remaining case had a breakpoint between clones RP11-948G15 and RP11-392O1, Ch 17: 38425359-39091575 (17q21.31).

Figure 4. Summary of the gains and losses found in all tumours examined.

Figure 4

Clones are plotted along the x-axis in genomic order, from 1pter (left) to 22qter (right). The y-axis shows the proportion of tumours to show gain (above the x-axis) or loss (below the x-axis) of each clone. (A) shows the results for medulloblastomas; (B) shows the same plot for supratentorial PNETs. Alternating light and dark bands denote chromosomal boundaries; vertical hashed lines represent centromeric position.

Figure 5. Breakpoints seen in cases with isochromosome 17q.

Figure 5

Plots show the three discrete breakpoints seen in cases with findings suggestive of isochromosome 17q. Log2 ratio of all chromosome 17 clones is shown from 17pter (left) to 17qter (right). Each plot represents one case. The shaded box represents the centromeric clone gap. The most common breakpoint, shown in (A), lay between clones RP11-189D22 and RP1-162E17 on 17p11.2 (n=6). The second main breakpoint (n=4), shown in (B), was peri-centromeric, between clones RP11-121A13 (17p11.2) and RP11-138P22 (17q11.2). One further case (C) had a breakpoint on 17q21.31, between clones RP11-948G15 and RP11-392O1. In the majority of cases when visualised on a log2 scale, 17p loss was more pronounced than 17q gain. This is in accord with the expected log2 ratio for single copy loss (-1.0) and single copy gain (+0.58) in a near-diploid sample. In practice there was a tendency for ratios to be closer to zero for reasons such as normal cell ‘contamination’.

Several regions besides 17q frequently showed copy number gain, including the novel finding of gain of a region on Ch 19: 38091322-63771717 extending from RP11-298M15 to PAC1129C9 (19q13.11-19q13.43) in 6 cases (18%). The regions most commonly lost and gained are listed in Table 2. In each case we were able to delineate precisely the affected region relative to genomic sequence.

Table 2.

Consistent copy number changes in medulloblastomas and supratentorial PNETs

Chromosomal
region
Base pair position Limiting clones Length of
segment
Affected cases
Frequently lost in medulloblastomas Number %
3p 3: 82655791 - 84801874 RP11-206J21 to RP11-474M18 2.17 Mb 9 27
8p 8: 5106141 - 24469396 RP11-29A2 to RP11-561E1 19.38 Mb 9 27
10p 10: 10pter - 20189475 CTC-306F7 to RP11-188P8 19.92 Mb 9 27
10q 10: 60813485 - 133778458 RP11-357A18 to RP11-45A17 72.99 Mb 8 23
11p 11: 16626917 - 47386308 RP11-4B7 to RP11-125F14 30.78 Mb 10 29
16q 16: 68164911 – 16qter RP11-311C24 to CTB-121I4 20.41 Mb 10 29
17p 17: 17pter - 19251679 RP11-216P6 to RP1-162E17 18.47 Mb 12 35
20q 20: 52483567 – 20qter RP11-6L15 to CTB-81F12 9.93 Mb 7 21
Frequently gained in medulloblastomas
1q 1: 211370717 – 1qter RP11-323K10 to CTB-160H23 33.97 Mb 11 32
5p 5: 5pter - 45708383 All clones 43.16 Mb 7 21
12q 12: 112632128 – 12qter RP11-438N16 to RP11-46H11 19.53 Mb 6 18
7q 7: 105390613 - 158432707 RP11-22N19 to CTB-3K23 53.02 Mb 15 44
9p 9: 5993678 - 8490985 RP11-218I7 to RP11-175E13 2.52 Mb 9 27
17q 17: 50112652 – 17qter RP11-372K20 to RP11-567O16 28.28 Mb 20 59
18q 18: 41216566 – 18qter RP11-463D17 to CTC-964M9 34.74 Mb 8 24
19p 19: 19pter - 23732307 CTC-546C11 to RP11-359H18 23.54 Mb 6 18
19q 19: 38091322 - 19qter RP11-298M15 to GS1-1129C9 25.70 Mb 6 18
Frequently lost in supratentorial PNETs
13q 13: 112739429 – 13qter RP11-265C7 to RP11-245B11 1.18 Mb 4 57

Number (%) of cases are shown for changes occurring in more than 5 (15%) medulloblastomas and more than 2 (25%) supratentorial PNETs.

BAC and PAC clones denoting the borders of the minimal commonly affected regions of loss and gain are shown in each case.

Array Comparative Genomic Hybridisation of Supratentorial Primitive Neuroectodermal Tumours

StPNETs (n=7) had a median of 16 copy number alterations per sample (range 7 to 30). Amplifications were found in 3 of 7 tumours and one case had a homozygous deletion. The complete list of log2 ratios each case is described in Supplemental Data 1.

The three tumours with amplifications showed 5 separate amplified regions, described in Table 1. PM3 had a single amplicon at Ch 4: 53711035-55501429, encompassing the oncogenes PDGFRA and KIT. Case PM36 had 3 separate amplicons, all on chromosome 6: Ch 6: 1281096-1530520 ; Ch 6: 134963006-136135904 including the oncogene MYB; and Ch 6: 143821730-144578075. Case PM51 had amplification of Ch 19: 59127814-59464094.

The most frequent finding in the stPNETs was loss of clone RP11-245B11 at Ch 13: 113770458-113954546, present in 4 cases (57%). While case PM 21 showed loss of the whole of 13q and PM 3 lost a 75 Mb region from 13q14.11 to 13qter, cases PM 36 & PM 51 had lost only clone RP11-245B11. This specific loss of RP11-245B11 was reproducible in both cases and the spots had good morphology and strong signal. The frequency of loss and gain of all individual clones is shown in Figure 4.

Case PM 20 showed homozygous loss of a single clone, RP11-145E5 (log2 ratio −2.21) encompassing the CDKN2A and CDKN2B genes, illustrated in Figure 6. The homozygously deleted clone was surrounded by a 0.4Mb region of single copy loss defined by clones RP11-149I2 to RP11-408N14. This homozygous loss remained apparent when tumour DNA was re-hybridised using constitutional DNA from the same patient as reference, discounting the possibility of a deletion polymorphism at this site.

Figure 6. Homozygous loss of the tumour suppressor genes CDKN2A and CDKN2B.

Figure 6

Case PM 20 shows homozygous loss of a single clone, RP11-145E5 (log2 ratio −2.21) at 9p21.3 encompassing the CDKN2A and CDKN2B genes, surrounded by single copy loss of a 0.4Mb region defined by clones RP11-149I2 to RP11-408N14. The figure layout is as for Figure 3.

Verification of Modal Copy Number

Because CGH demonstrates relative, rather than absolute, copy number (relative to the modal sample copy number), we used I-FISH to determine modal copy number in a subset of cases arrayed onto a tissue microarray using alpha satellite probes for the centromeres of chromosome 7, 10, 17 and 18. In all but one sample (PM 35), a log2 ratio of zero at peri-centromeric clones on array CGH corresponded to a copy number of 2 for that centromere on I-FISH, , implying a modal copy number of 2 for the sample.. For all cases where I-FISH showed centromeric copy number gain, array CGH also showed copy number gain of the peri-centromeric clones. In one case (PM 35), approximately equal numbers of clones had log2 ratios of 0 and −0.4 (illustrated in Figure 7). I-FISH showed regions with a log2 ratio of −0.4 on array CGH to have disomy; all other genomic regions had copy number gain. .

Figure 7. Clarification of modal copy number using interphase FISH.

Figure 7

Array CGH of PM 35 revealed a log2 ratio close to zero for the majority of 1q, 2, 5, 6, 12, 13, 14, 18 and 19 while 1p, 8, 9q, 10, 11, 16, 20, 21 and 22 had a log2 ratio of roughly −0.4 (shown by the hashed line). Interphase FISH was performed for this case, using centromeric alpha satellite probes for chromosomes 7, 10, 17 and 18. Chromosome 10, with a mean log2 ratio of −0.4, was seen to have 2 copies on FISH while chromosome 7, 17 and 18 all had copy numbers of greater than 2. Thus, combining the results of I-FISH and array CGH, genomic regions lying along the hashed line were disomic; all other chromosomal regions showed copy number gain.

Comparison of Array Comparative Genomic Hybridisation Results with Microsatellite Analysis

A series of dinucleotide repeat microsatellite analyses was performed using sixteen loci representing both arms of chromosomes 6 and 17. These were used to analyse a subset of samples (n=11) for which constitutional DNA was available At all informative loci, the findings of microsatellite analysis and array CGH were in agreement: single copy loss and gain detected by array CGH was associated with allelic imbalance of microsatellite loci while normal copy number detected by array CGH was associated with allelic balance of microsatellite loci. While allelotyping could not distinguish allelic loss from allelic gain, however, array CGH clearly differentiated the two (Figure 8).

Figure 8. Comparison of array CGH and microsatellite analysis.

Figure 8

Array CGH of case PM 10 showed loss of Ch 17: pter-18114679 and gain of Ch 17:19126535-qter. Layout is as for Figure 3. While microsatellite analysis of this case corroborated the array CGH findings, showing partial allelic imbalance at loci on 17q and and complete imbalance on 17p , it was not capable of differentiating loss from gain. Some microsatellite loci are not shown for clarity. In all examples of microsatellite data, blood (B) is shown on the left and tumour (T) on the right, both in gel images and densitometric profiles.

Comparison of Medulloblastomas and Supratentorial Primitive Neuroectodermal Tumours

Fisher's exact test was used to compare copy number changes between medulloblastomas and stPNETs. Despite the small number of stPNETs in our series, we found some changes to show statistically significant differences in occurrence between the tumour groups. Gain of 17q was significantly more common in medulloblastomas (20 of 34) than in stPNETs (0 of 7) (p-value = 0.00862). Loss of the telomeric end of 13q was more common in stPNETs (4 of 7) than medulloblastomas (1 of 34) (p-value = 0.00162). No other specific copy number changes were different between the two groups. However, stPNETs were significantly more likely to have amplifications (3 of 7) than medulloblastomas (2 of 34) (p-value = 0.02782). These estimates of statistical significance do not reflect a Bonferroni correction for multiple testing.

DISCUSSION

The benefits of array CGH over metaphase CGH include the ability to examine many regions of the genome at high resolution in one experiment and the capacity to map regions of copy number loss and gain to genome sequence (16-18). Using array CGH we have identified several novel findings in these tumours. These include amplifications, some encompassing known oncogenes not previously reported to be involved in medulloblastomas and stPNETs and frequent copy number changes not previously described. Furthermore, the increased resolution afforded by array CGH has allowed us to delineate previously reported regions of copy number change more precisely. Finally, we have contributed to the growing evidence that medulloblastomas and stPNETs, while morphologically similar, are genetically distinct.

We are the first to report high-level amplification of MYCL1 in medulloblastomas and PDGFRA, KIT and MYB in stPNETs. Using conventional CGH, Russo et al (8) and Michiels et al (19) have reported medulloblastomas (2 of 43 and 1 of 15 respectively) with high-level gain at 1p34. In the case we report here with MYCL1 amplification, array CGH allowed us to delineate our amplicon boundaries precisely, identifying specific genes contained within the amplicon. Initial array CGH at 1Mb resolution showed an amplicon at 1p34. An overlapping tile-path array of the region identified a 3.31 Mb amplicon containing 80 genes including the growth factors BMP8B and EDN2, the gene for the basic helix-loop-helix protein HEYL and the transcriptional regulators NFYC, CITED4 and FOXJ3 in addition to the known oncogene MYCL1. In the only previous study to examine amplification status of MYCL1 in medulloblastomas, Tong et al reported single copy gain but not high-level amplification (20). While MYCN amplification has been linked to poor prognosis in medulloblastomas, the significance of MYCL1 amplification and/or over-expression is unknown. The case we report with MYCL1 amplification was still alive at most recent follow up, more than 8 years from diagnosis. Case PM 34, however, with amplification of MYCN, succumbed to disease within one year.

Array CGH has identified genes co-amplified with PDGFRA and KIT. Sihto et al previously reported one medulloblastoma with amplification of the chromosome 4 centromere and high-level amplification of KIT (21). Although not specifically examined, it is likely that PDGFRA was co-amplified in that case given its proximity to both loci. Tong et al reported single copy gain but no high-level amplification of PDGFRA or KIT (20). Using conventional CGH, Russo et al reported one stPNET with high-level gain at 4q12-13 (8). In our study, array CGH has allowed more accurate delineation of the amplicon. Initially, 1 Mb-resolution array CGH of case PM 3 showed an amplicon with maximum size 3.6 Mb. Subsequent tile-path array CGH of the region revealed a 1.81 Mb amplicon containing 7 genes including the E3 ubiquitin ligase LNX in addition to co-amplification of PDGFRA and KIT. Over-expression of PDGFRA and PDGFRB has been reported to occur more frequently in metastatic than non-metastatic medulloblastomas and to be associated with worse prognosis (22; 23). On the contrary, the importance of PDGFRA expression and its relationship to metastatic disease in stPNETs is unknown. Case PM 3 had a non-metastatic stPNET and was still alive at last follow up 10 years following surgery. . (21)MYB amplification has not been reported in either tumour although described in other tumour types (24; 25). A tile-path array of the region surrounding the single amplified clone RP1-32B1 in case PM 36 revealed a 1.05 Mb amplicon containing AHI1, a gene known to be involved in cerebellar development in addition to the known oncogene MYB. Finally, in all but one amplicon we have reported the co-amplification of several genes. We are currently undertaking further analysis to identify the targeted gene(s) in each case.

A novel finding in our series was gain of 19q in medulloblastomas, present in 6 of 34 samples (18%). Although this has been described in a variety of different tumour types, including glioblastoma, oesophageal squamous cell carcinoma and ovarian carcinoma (26-28), it has not previously been reported to occur commonly in medulloblastomas. To date, no specific targeted genes have been identified in tumour types commonly exhibiting gain of 19q.

Array CGH allowed us to define the boundaries of all regions of copy number change and to map them to the genome. Three regions are particularly worthy of comment in the medulloblastomas (detailed in Table 2). The first two (8p and 20q) had regions of copy number loss of gradually reducing size in different samples, leading in each case to a small, commonly deleted region. The third region is the breakpoint of i(17q).

Loss of 8p has been described using conventional CGH, karyotyping and SKY. Most commonly loss of the whole arm or the whole chromosome is reported; single tumours have been reported with loss of 8p16, 8p21 & 8p23 by conventional CGH or karyotyping(3; 7; 19). In our series, three medulloblastomas had single copy loss of all of 8p; a further five tumours had lost smaller regions within 8p. The commonly deleted region extended from RP5-991O23 to RP11-177H13, Ch 8: 5326020-23286627 (8p21.3-8p23.2) and shares some overlap with a commonly deleted region identified previously in medulloblastomas by Yin et al from 8p22-23.2 using allelotyping techniques (29). Yin et al describe two cases that showed a small area of homozygous loss adjacent to the tumour suppressor gene DLC1. While transcriptional loss of DLC1 through deletion or promoter hypermethylation has been described in a variety of tumours including non small cell lung cancer, gastric and hepatocellular carcinoma (30-32), its methylation status in medulloblastomas is unknown.

We identified a commonly deleted region on 20q extending from RP5-1010E17 to RP13-152O15, Ch 20: 53411914-62163452 (20q13.2-13.33). Loss of the whole of 20q has been reported in various studies of medulloblastomas (3; 19). In our series 5 of 34 medulloblastomas had single copy loss of the whole of chromosome 20. Two further tumours had lost smaller regions within 20q. Hui et al recently reported frequent single copy gain of a region extending from 20q13.31 to 20q13.33, a region closely resembling our commonly lost region, in their series of 16 medulloblastomas using a genomic BAC array containing 1803 clones (33). While they conclude that gain of this region may have been underestimated previously by lower resolution studies using conventional CGH, it is interesting that our study utilising a higher resolution 3038-clone array has not only not identified gain, but has identified loss of the same region to be a common finding. Germline genetic differences between the two populations may partly explain the inconsistency between the two series. The same group have previously reported loss of 20q to occur consistently in ependymomas (34). Tong et al also describe a minimal deleted region at 20q13.2-13.3 in ependymomas using microsatellite repeat markers (35). This region overlaps with our minimal deleted region on 20q. In those reporting 20q loss, targeted genes have not been identified.

Various minimal commonly deleted regions on 17p have been reported using allelotyping methods (11; 36). However, although i(17q) is one of the most common findings in every series of medulloblastoma for which karyotypic alterations have been reported, few have studied the breakpoint region. In our series, three discrete breakpoints were seen. Of these, the two breakpoints accounting for the majority of cases, Ch 17: 17940393-19251679 (n=6) and Ch 17: 20111990-23308272 (n=4), matched precisely with two breakpoint cluster regions described by Scheurlen et al in cases with medulloblastoma, non-Hodgkin's lymphoma, acute myeloid leukaemia and chronic myeloid leukaemia blast crisis (CML-BC) using microsatellite markers (37). We are currently producing a tiled path array of chromosome 17 which will define the breakpoints in more detail and allow us to see specifically which gene(s) are affected.

Despite the small number of stPNETs in our series, statistically significant differences were observed between the two tumour types in the frequency of 17q gain and 13q loss, in addition to the observation that amplifications were more common in stPNETs. The tumours are both classed as primitive neuro-ectodermal tumours. However, while their treatment is similar, the prognosis for stPNETs is worse than that for medulloblastomas (38). There is already evidence that the two tumour types are genetically distinct (8; 11). Our data would strongly support the hypothesis that these tumours represent biologically separate entities and it is likely that the underlying molecular dissimilarities are responsible in part for the discrepancies in reported survival figures.

In conclusion, this is the highest resolution report to date of a genome-wide analysis of genomic copy number changes in medulloblastomas and stPNETs using array CGH. We have reported several novel amplicons, some of which include known oncogenes. We have accurately defined consistent copy number changes, including novel loci previously not reported to show consistent change. We have identified more precisely the positions of the breakpoint in cases with i(17q). Finally, we have added to the evidence that medulloblastomas and stPNETs are separate biological entities, explaining to some degree their different outcome following treatment.

Supplementary Material

Supplementary materials

ACKNOWLEDGEMENTS

The authors thank Mr David Jones for performing interphase FISH on specimens of normal grey and white matter and Mr John Brown for technical assistance in the production of the tissue microarrays. The authors also thank the Centre for Microarray Resources at Cambridge University Department of Pathology for printing the arrays on which the paper is based. All clones were supplied by the Wellcome Trust Sanger Institute Archives Group (http://www.sanger.ac.uk/Teams/Team38/)

Financial support

M G McCabe was supported by a Clinical Research Training Fellowship from Cancer Research UK and by a grant from The Addenbrooke's Charities.

L Liu was supported by a grant from the Samantha Dickson Research Trust.

Authors were also supported by grants from CAMPOD, Cancer Research UK, The Jacqueline Seroussi Memorial Foundation for Cancer Research and The Ludwig Institute for Cancer Research.

REFERENCES

  • 1.Giangaspero F, Bigner SH, Kleihues P, et al. Chapter 8: ‘Embryonal Tumours’. In: Kleihues K, Cavenee WK, editors. World Health Organization Classification of Tumours ‘Pathology and Genetics of Tumours of the Nervous System’. IARC Press; Lyon: 2000. pp. 123–148. [Google Scholar]
  • 2.Avet-Loiseau H, Venuat AM, Terrier-Lacombe MJ, et al. Comparative genomic hybridization detects many recurrent imbalances in central nervous system primitive neuroectodermal tumours in children. Br J Cancer. 1999;79:1843–7. doi: 10.1038/sj.bjc.6690293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Bayani J, Zielenska M, Marrano P, et al. Molecular cytogenetic analysis of medulloblastomas and supratentorial primitive neuroectodermal tumors by using conventional banding, comparative genomic hybridization, and spectral karyotyping. J Neurosurg. 2000;93:437–48. doi: 10.3171/jns.2000.93.3.0437. [DOI] [PubMed] [Google Scholar]
  • 4.Gilhuis HJ, Anderl KL, Boerman RH, et al. Comparative genomic hybridization of medulloblastomas and clinical relevance: eleven new cases and a review of the literature. Clin Neurol Neurosurg. 2000;102:203–209. doi: 10.1016/s0303-8467(00)00112-8. [DOI] [PubMed] [Google Scholar]
  • 5.Jay V, Squire J, Bayani J, et al. Oncogene amplification in medulloblastoma: analysis of a case by comparative genomic hybridization and fluorescence in situ hybridization. Pathology. 1999;31:337–44. doi: 10.1080/003130299104693. [DOI] [PubMed] [Google Scholar]
  • 6.Nicholson J, Wickramasinghe C, Ross F, et al. Imbalances of chromosome 17 in medulloblastomas determined by comparative genomic hybridisation and fluorescence in situ hybridisation. Mol Pathol. 2000;53:313–9. doi: 10.1136/mp.53.6.313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Reardon DA, Jenkins JJ, Sublett JE, et al. Multiple genomic alterations including N-myc amplification in a primary large cell medulloblastoma. Pediatr Neurosurg. 2000;32:187–91. doi: 10.1159/000028932. [DOI] [PubMed] [Google Scholar]
  • 8.Russo C, Pellarin M, Tingby O, et al. Comparative genomic hybridization in patients with supratentorial and infratentorial primitive neuroectodermal tumors. Cancer. 1999;86:331–9. doi: 10.1002/(sici)1097-0142(19990715)86:2<331::aid-cncr18>3.0.co;2-#. [DOI] [PubMed] [Google Scholar]
  • 9.Eberhart CG, Kratz JE, Schuster A, et al. Comparative genomic hybridization detects an increased number of chromosomal alterations in large cell/anaplastic medulloblastomas. Brain Pathol. 2002;12:36–44. doi: 10.1111/j.1750-3639.2002.tb00420.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Shlomit R, Ayala AG, Michal D, et al. Gains and losses of DNA sequences in childhood brain tumors analyzed by comparative genomic hybridization. Cancer Genet Cytogenet. 2000;121:67–72. doi: 10.1016/s0165-4608(00)00218-1. [DOI] [PubMed] [Google Scholar]
  • 11.Burnett ME, White EC, Sih S, et al. Chromosome arm 17p deletion analysis reveals molecular genetic heterogeneity in supratentorial and infratentorial primitive neuroectodermal tumors of the central nervous system. Cancer Genet Cytogenet. 1997;97:25–31. doi: 10.1016/s0165-4608(96)00319-6. [DOI] [PubMed] [Google Scholar]
  • 12.Ichimura K, Schmidt EE, Goike HM, et al. Human glioblastomas with no alterations of the CDKN2A (p16INK4A, MTS1) and CDK4 genes have frequent mutations of the retinoblastoma gene. Oncogene. 1996;13:1065–72. [PubMed] [Google Scholar]
  • 13.Fiegler H, Carr P, Douglas EJ, et al. DNA microarrays for comparative genomic hybridization based on DOP-PCR amplification of BAC and PAC clones. Genes Chromosomes Cancer. 2003;36:361–74. doi: 10.1002/gcc.10155. [DOI] [PubMed] [Google Scholar]
  • 14.Seng TJ, Ichimura K, Liu L, et al. Complex chromosome 22 rearrangements in astrocytic tumors identified using microsatellite and chromosome 22 tile path array analysis. Genes Chromosomes Cancer. 2005 doi: 10.1002/gcc.20181. [DOI] [PubMed] [Google Scholar]
  • 15.Miyakawa A, Ichimura K, Schmidt EE, et al. Multiple deleted regions on the long arm of chromosome 6 in astrocytic tumours. Br J Cancer. 2000;82:543–9. doi: 10.1054/bjoc.1999.0961. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Pinkel D, Segraves R, Sudar D, et al. High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nat Genet. 1998;20:207–11. doi: 10.1038/2524. [DOI] [PubMed] [Google Scholar]
  • 17.Hurst CD, Fiegler H, Carr P, et al. High-resolution analysis of genomic copy number alterations in bladder cancer by microarray-based comparative genomic hybridization. Oncogene. 2004 doi: 10.1038/sj.onc.1207260. [DOI] [PubMed] [Google Scholar]
  • 18.Solinas-Toldo S, Lampel S, Stilgenbauer S, et al. Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances. Genes Chromosomes Cancer. 1997;20:399–407. [PubMed] [Google Scholar]
  • 19.Michiels EM, Weiss MM, Hoovers JM, et al. Genetic alterations in childhood medulloblastoma analyzed by comparative genomic hybridization. J Pediatr Hematol Oncol. 2002;24:205–10. doi: 10.1097/00043426-200203000-00009. [DOI] [PubMed] [Google Scholar]
  • 20.Tong CY, Hui AB, Yin XL, et al. Detection of oncogene amplifications in medulloblastomas by comparative genomic hybridization and array-based comparative genomic hybridization. J Neurosurg. 2004;100:187–93. doi: 10.3171/ped.2004.100.2.0187. [DOI] [PubMed] [Google Scholar]
  • 21.Sihto H, Sarlomo-Rikala M, Tynninen O, et al. KIT and platelet-derived growth factor receptor alpha tyrosine kinase gene mutations and KIT amplifications in human solid tumors. J Clin Oncol. 2005;23:49–57. doi: 10.1200/JCO.2005.02.093. [DOI] [PubMed] [Google Scholar]
  • 22.Gilbertson RJ, Clifford SC. PDGFRB is overexpressed in metastatic medulloblastoma. Nat Genet. 2003;35:197–8. doi: 10.1038/ng1103-197. [DOI] [PubMed] [Google Scholar]
  • 23.MacDonald TJ, Brown KM, LaFleur B, et al. Expression profiling of medulloblastoma: PDGFRA and the RAS/MAPK pathway as therapeutic targets for metastatic disease. Nat Genet. 2001;29:143–52. doi: 10.1038/ng731. [DOI] [PubMed] [Google Scholar]
  • 24.Edwards J, Krishna NS, Witton CJ, et al. Gene amplifications associated with the development of hormone-resistant prostate cancer. Clin Cancer Res. 2003;9:5271–81. [PubMed] [Google Scholar]
  • 25.Hui AB, Lo KW, Teo PM, et al. Genome wide detection of oncogene amplifications in nasopharyngeal carcinoma by array based comparative genomic hybridization. Int J Oncol. 2002;20:467–73. [PubMed] [Google Scholar]
  • 26.Burton EC, Lamborn KR, Feuerstein BG, et al. Genetic aberrations defined by comparative genomic hybridization distinguish long-term from typical survivors of glioblastoma. Cancer Res. 2002;62:6205–10. [PubMed] [Google Scholar]
  • 27.Sham JS, Tang TC, Fang Y, et al. Recurrent chromosome alterations in primary ovarian carcinoma in Chinese women. Cancer Genet Cytogenet. 2002;133:39–44. doi: 10.1016/s0165-4608(01)00567-2. [DOI] [PubMed] [Google Scholar]
  • 28.Yen CC, Chen YJ, Lu KH, et al. Genotypic analysis of esophageal squamous cell carcinoma by molecular cytogenetics and real-time quantitative polymerase chain reaction. Int J Oncol. 2003;23:871–81. [PubMed] [Google Scholar]
  • 29.Yin XL, Pang JC, Ng HK. Identification of a region of homozygous deletion on 8p22-23.1 in medulloblastoma. Oncogene. 2002;21:1461–8. doi: 10.1038/sj.onc.1205204. [DOI] [PubMed] [Google Scholar]
  • 30.Yuan BZ, Jefferson AM, Baldwin KT, et al. DLC-1 operates as a tumor suppressor gene in human non-small cell lung carcinomas. Oncogene. 2004;23:1405–11. doi: 10.1038/sj.onc.1207291. [DOI] [PubMed] [Google Scholar]
  • 31.Wong CM, Lee JM, Ching YP, et al. Genetic and epigenetic alterations of DLC-1 gene in hepatocellular carcinoma. Cancer Res. 2003;63:7646–51. [PubMed] [Google Scholar]
  • 32.Kim TY, Jong HS, Song SH, et al. Transcriptional silencing of the DLC-1 tumor suppressor gene by epigenetic mechanism in gastric cancer cells. Oncogene. 2003;22:3943–51. doi: 10.1038/sj.onc.1206573. [DOI] [PubMed] [Google Scholar]
  • 33.Hui AB, Takano H, Lo KW, et al. Identification of a novel homozygous deletion region at 6q23.1 in medulloblastomas using high-resolution array comparative genomic hybridization analysis. Clin Cancer Res. 2005;11:4707–16. doi: 10.1158/1078-0432.CCR-05-0128. [DOI] [PubMed] [Google Scholar]
  • 34.Zheng PP, Pang JC, Hui AB, et al. Comparative genomic hybridization detects losses of chromosomes 22 and 16 as the most common recurrent genetic alterations in primary ependymomas. Cancer Genet Cytogenet. 2000;122:18–25. doi: 10.1016/s0165-4608(00)00265-x. [DOI] [PubMed] [Google Scholar]
  • 35.Tong CY, Zheng PP, Pang JC, et al. Identification of novel regions of allelic loss in ependymomas by high-resolution allelotyping with 384 microsatellite markers. J Neurosurg. 2001;95:9–14. doi: 10.3171/jns.2001.95.1.0009. [DOI] [PubMed] [Google Scholar]
  • 36.Cogen PH, Daneshvar L, Metzger AK, et al. Deletion mapping of the medulloblastoma locus on chromosome 17p. Genomics. 1990;8:279–85. doi: 10.1016/0888-7543(90)90283-z. [DOI] [PubMed] [Google Scholar]
  • 37.Scheurlen WG, Schwabe GC, Seranski P, et al. Mapping of the breakpoints on the short arm of chromosome 17 in neoplasms with an i(17q) Genes Chromosomes Cancer. 1999;25:230–40. doi: 10.1002/(sici)1098-2264(199907)25:3<230::aid-gcc5>3.0.co;2-e. [DOI] [PubMed] [Google Scholar]
  • 38.Timmermann B, Kortmann RD, Kuhl J, et al. Role of radiotherapy in the treatment of supratentorial primitive neuroectodermal tumors in childhood: results of the prospective German brain tumor trials HIT 88/89 and 91. J Clin Oncol. 2002;20:842–9. doi: 10.1200/JCO.2002.20.3.842. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary materials

RESOURCES