Abstract
Anaplastic oligodendrogliomas (AOD) are rare glial tumors in adults with relative homogeneous clinical, radiological and histological features at the time of diagnosis but dramatically various clinical courses. Studies have identified several molecular abnormalities with clinical or biological relevance to AOD (e.g. t(1;19)(q10;p10), IDH1, IDH2, CIC and FUBP1 mutations).
To better characterize the clinical and biological behavior of this tumor type, the creation of a national multicentric network, named “Prise en charge des OLigodendrogliomes Anaplasiques (POLA),” has been supported by the Institut National du Cancer (InCA). Newly diagnosed and centrally validated AOD patients and their related biological material (tumor and blood samples) were prospectively included in the POLA clinical database and tissue bank, respectively.
At the molecular level, we have conducted a high-resolution single nucleotide polymorphism array analysis, which included 83 patients. Despite a careful central pathological review, AOD have been found to exhibit heterogeneous genomic features. A total of 82% of the tumors exhibited a 1p/19q-co-deletion, while 18% harbor a distinct chromosome pattern. Novel focal abnormalities, including homozygously deleted, amplified and disrupted regions, have been identified. Recurring copy neutral losses of heterozygosity (CNLOH) inducing the modulation of gene expression have also been discovered. CNLOH in the CDKN2A locus was associated with protein silencing in 1/3 of the cases. In addition, FUBP1 homozygous deletion was detected in one case suggesting a putative tumor suppressor role of FUBP1 in AOD.
Our study showed that the genomic and pathological analyses of AOD are synergistic in detecting relevant clinical and biological subgroups of AOD.
Introduction
Anaplastic oligodendrogliomas (AOD) are rare primary brain tumors that account for approximately 10% of all gliomas [1], [2]. AODs are a heterogeneous subgroup of tumors with distinct biological features and clinical behavior despite their homogeneous morphological appearance when viewed under a microscope, including oligodendrocyte-type cells that form honey combs and anaplastic features with a high cell density, cytonuclear atypia, mitosis, vascular proliferation and, in some cases, necrosis [3].
Despite similar treatments and histologic features, AOD patients can have dramatically different outcomes: (i) ∼25% of the patients die within 18 months of diagnosis, similar to glioblastoma patients and (ii) ∼25% survive more than 8 years, similar to low-grade glioma patients [4], [5]. Therefore, the AOD group encompasses several entities in terms of its clinical and biological characteristics.
Genomic studies have shown an ability to identify molecular abnormalities in AOD tumors, which are necessary for a better understanding of molecular oligodendrogliomagenesis and for use in clinical practice as relevant biomarkers. The co-deletion of the chromosome arms 1p/19q, mediating an unbalanced reciprocal translocation expressed as t(1;19)(q10;p10), and the IDH1 and IDH2 (isocitrate dehydrogenase 1 and 2) mutations have been shown to be recurring in AOD and to be associated with a better outcome [6]–[11]. On the other hand, gene amplification, no matter the targeted gene, is associated with a poor prognosis [12]. More recently, recurring point mutations targeting CIC (capicua homolog) and FUBP1 (Far Upstream Element [FUSE] Binding Protein 1) have been discovered in the majority of AOD cases, further specifying the oncogenetics of AOD [13]; however, the clinical-biological value of the latter genetic abnormalities has only begun to be investigated [14], [15].
The rare nature of AOD requires the use of collaborative multicentric works. To improve the clinical, biological and translational research focused on AOD patients, the French Institut National du Cancer (InCA) has supported the creation of a national network named “Prise en charge des OLigodendrogliomes Anaplasiques (POLA),” which is dedicated to the harmonization of the clinical management of AOD patients and the development of translational research in AOD.
In this setting, the present study has been conducted by the POLA network in order to identify novel genomic abnormalities in AOD, using high-resolution single nucleotide polymorphism arrays (SNP array), and to correlate the genomic pattern with the IDH1/2 mutations.
Materials and Methods
Materials
Eighty-three patients with a centrally reviewed diagnosis of brain AOD were prospectively included in the present study. For all of the individuals, frozen and formalin-fixed paraffin-embedded (FFPE) tumor tissues were available for the genetic, pathological and immunohistochemical investigations. A blood sample was collected and stored at −20°C until use for research purposes, before any anti-tumor treatment was started, as recommended by POLA network policy. The patients included prospectively in the POLA network have provided their written consent for the clinical data collection and genetic analysis according to the national and the POLA network policies.
Methods
Pathological review
After the initial local diagnosis of AOD, the pathological slides were centrally reviewed by Dr. DFB (or Dr. KM for the patients clinically managed in the city of Marseille) and were included in the prospective POLA network if they met the pathological inclusion criteria of AOD, as defined by the World Health Organization classification of brain tumors [3]. All cases were also reviewed by a panel of four neuropathologists D-FB, K-M, A-J and E-UC to be definitely included in the present series.
DNA extraction
DNA was extracted from frozen tumor samples using the iPrep ChargeSwitch® Forensic Kit, according to the manufacturer's recommendations. Blood DNA was extracted using conventional method. The DNA was quantified and qualified using a NanoVue spectrophotometer and gel electrophoresis. A volume of 1.5 µg of DNA was outsourced to Integragen Company (Paris, France) for the SNP array experiments.
SNP array procedures
As mentioned above, the SNP array experiments were outsourced to Integragen. Two types of platforms were used, HumanCNV370-Quad and Human610-Quad from Illumina. Because the molecular abnormalities were included in the medical management of the patients (e.g., non-1p/19q-co-deleted patients were included in the EORTC 26053-22054 trial if they were eligible elsewhere; [16]), the tumor DNA was run prospectively in order to obtain the genomic profile within ten days of the tumor resection. One microgram of tumor DNA was moved to the higher resolution platform after its implementation, as a service by Integragen®.
Real-time polymerase chain reaction (PCR) testing of CDKN2A and EGFR
The CDKN2A (Hs02738179_cn) homozygous deletions and EGFR (TaqMan® EGFR probe) high-level amplifications were validated using the MGB-based TaqMan® Copy Number Assay (Applied Biosystems), according to the manufacturer's recommendations. RNase P (RNase P Kit, Applied Biosystems, reference: 4403326) was used as the control for assessing the normal copy number status. Briefly, all assays were run in duplicate on a LightCycler®480 Multiwell Plate 96 in a 20 µL reaction volume (10 µL of LightCycler®480 Probes Master Mix, 1 µL of TaqMan® Copy Number Assay, 1 µL of TaqMan® Copy Number Reference Assay and 5 ng of genomic tumor DNA) with the following PCR conditions: initial activation step at 95°C for 10 min followed by 50 cycles of 95°C for 15 s and 60°C for 1 min. The 2−ΔΔCt method was used to obtain the gene's copy number status.
IDH1 and IDH2 mutational status
IDH1 codon 132 and IDH2 codon 172 were sequenced using the Sanger method with the following primers: IDH1-Forward: TGTGTTGAGATGGACGCCTATTTG; IDH1-Reverse: TGCCACCAACGACCAAGTC; IDH2-Forward: GCCCGGTCTGCCACAAAGTC and IDH2-Reverse: TTGGCAGACTCCAGAGCCCA, as previously reported [17].
CDKN2A immunochemistry
A 4 µm thick section of formalin-fixed paraffin-embedded blocks was immunostained using the monoclonal antibody anti-CDKN2A (Clone E6H4 from CINTEC, prediluted) after antigen retrieval, to assess the CDKN2A expression. A Ventana Benchmark XT was instrumental in performing this technique. No immunoreactivity was scored in the CDKN2A protein silencing.
Chromosome 9p microsatellite analysis
The blood and tumor DNA were investigated for loss of heterozygosity (LOH) on chromosome 9p using the following polymorphic markers: D9S1684, D9S171 and D9S1121. The forward primer was labeled with the Fam (D9S1684 and D9S1121) or Ned (D9S171) dyes (Life Technologies™). The primer sequences are available upon request. The samples were run on an automatic sequencer and analyzed with the Gene Scan program (Abi-prism, Perkin Elmer).
Statistical analyses
The total and allele-specific copy numbers were computed for each sample using the crlmm algorithm [18], [19]. The correction of the total copy number waves was based on the GC-content of the probes and targeted DNA regions. The total copy numbers from the tumor samples were normalized using the blood sample from the same patient, when available, or with the median signal of all the blood samples processed using the same Illumina platform. The B-allele frequencies from patients with two samples processed using the same Illumina array type were corrected using the TumorBoost algorithm [20].
Segmentation, segment categorization and tumor purity estimation were performed using a slightly modified version of genoCN [21]. In the original algorithm, constraints were placed on the lower and upper values of the estimated model parameters. These bounds were not allowed to evolve during the optimization process. For samples of lower tumor purity, this can adversely affect the proper estimation of the parameters. In the modified version of the algorithm, these limits are updated at each iteration to account for their credible values based on the current estimation of sample purity. All the modifications brought to the version 1.8.0 of genoCN (http://www.bioconductor.org/packages/2.10/bioc/html/genoCN.html) are reported in supporting file. Only segments with at least 10 SNPs were retained.
For each segment, the association of its loss (LOH) or gain with each phenotypic variable was estimated using Fisher's exact test for the factors or by the t-test for the quantitative variables. The false discovery rate was controlled using the Benjamini and Hochberg control of p-values [22].
Age and Karnofsky performance status (KPS) were compared using a two-sample t-test. Sex distribution among groups was compared using Chi-squared test with Yates' correction. Progression free survival and overall survival curves were drawn using the Kaplan-Meier method and compared using a log-rank test. A p-value<0.05 was considered as significant.
Results
Population characteristics and pathological features of the tumors
Eighty-three patients were prospectively included in the present study: 48 males and 35 females (sex ratio: m/f = 1.4). The median age at diagnosis was 49.9 years (range: 23.1–78.4).
All tumors were validated as AOD after a central pathological review.
Genomic pattern and IDH mutational status
In the entire cohort, 68/83 (82%) of the tumors contained the 1p/19q-co-deletion with the chromosome 1 and 19 centromeric breakpoints used as a surrogate marker of t(1;19)(q10;p10) (Figure 1, Panel A), while 15/83 (18%) of the samples exhibited other genomic patterns (Figure 1, Panel B). Interestingly, in the latter group, three tumors harbored a whole-chromosome-arm 1p loss without the concurrent whole-chromosome-arm 19q loss, a chromosome 1p centromeric breakpoint or a chromosome 19q centromeric breakpoint. In the same group, an additional three tumors exhibited a whole-chromosome-arm 19q loss without the combined whole-chromosome-arm 1p loss.
In the 1p/19q-co-deleted tumors, the most frequent gain was an 11q gain in 19.1% of the cases. The most frequent losses were the deletion of whole chromosome arm 9p, 4p, 4q, 9q and 15q in 32.4%, 17.6%, 16.2%, 14.7%, and 10.3% of the cases, respectively (Figure 2, Panel A, Top part). Sixty-one samples were assessable for IDH1, and 53 of them (86.8%) were IDH1 mutated. The IDH2 mutation was found in 4/8 of the IDH1-intact tumors. Overall, 57/61 (93.4%) of the tumors were IDH1 or IDH2 mutated.
In the non-1p/19q-co-deleted group, the most frequent chromosome arm imbalances were a 9p loss, a 7q gain, a 1p loss, a 10p loss or a 10q loss in 40.0%, 26.7%, 20.0%, 20.0% and 20.0% of the samples, respectively (Figure 2, Panel A, Bottom part). All of the samples were assessable for IDH1, and 5/15 (33.3%) were IDH1 mutated. The IDH2 mutation was found in 1/10 of the IDH1-intact tumors. Overall, 6/15 (40.0%) of the tumors were IDH1 or IDH2 mutated. The IDH1 or IDH2 mutations were more frequently observed in the 1p/19q-co-deleted tumors when compared to the non-1p/19q-co-deleted tumors (p<0.0001) and were mutually exclusive.
Candidate genomic abnormalities: homozygous deletion and gene amplification
In the 1p/19q-co-deleted samples, a limited number of recurring homozygous deletions were detected (Figure 2-Panel B-Top part and Table 1). Eight loci were found to be homozygously deleted in at least two patients. Interestingly, in one case, a homozygous deletion of FUBP1 was observed. Additionally, CDKN2A was homozygously deleted in one case in the SNP-array analysis and was validated by qPCR. Similarly, recurring gene amplification was rare in the non-1p/19q-co-deleted tumors; eight loci were found to be amplified in at least two patients (Figure 2-Panel B-Bottom part and Table 1). EGFR amplification was detected in one case.
Table 1. Genomic alterations containing candidate genes in 1p/19q co-deleted anaplastic oligodendrogliomas in at least two tumors (as identified by genoCN).
Chromosome region | N | Genes | |
Homozygous deletion | chr19_32455280_32670285 | 6 | |
chr19_32679064_32877033 | 5 | ZNF507 | |
chr9_44683090_44770712 | 5 | ||
chr4_69097539_69135491 | 3 | TMPRSS11B | |
chr9_44779627_45338079 | 3 | FAM27C | |
chr4_69139402_69258302 | 2 | YTHDC1 | |
chr6_67075448_67105019 | 2 | ||
chr9_21963422_22123716 | 2 | CDKN2B-AS1-CDKN2A-CDKN2B-C9orf53 | |
High-level amplification | chr21_46815526_46935542 | 4 | NCRNA00175-SLC19A1-COL18A1 |
chr11_133914145_134445626 | 3 | VPS26B-GLB1L3-NCAPD3-ACAD8-B3GAT1-LOC283177-THYN1-JAM3-GLB1L2 | |
chr21_46746267_46812570 | 3 | ||
chr8_39350791_39457081 | 3 | ADAM3A-ADAM18 | |
chr11_133844842_133909403 | 2 | LOC100128239 | |
chr12_21054_213172 | 2 | LOC100288778-IQSEC3-FAM138D | |
chr3_38411_267992 | 2 | CHL1 | |
chr8_146163558_146264218 | 2 | ZNF252-TMED10P1-C8orf77-ZNF16 |
In the non-1p/19q-co-deleted tumors, the most frequently targeted homozygous deletion was the CDKN2A locus (Figure 2, Panel B-Bottom part and Table 2). The CDKN2A homozygous deletion was validated in both cases using qPCR. EGFR was the most frequently amplified gene; it was detected in three AOD cases using SNP-array analysis and was validated in two of these cases using qPCR (Figure 2-Panel B-Bottom part and Table 2).
Table 2. Genomic alterations containing candidate genes in non 1p/19q co-deleted anaplastic oligodendrogliomas in at least two tumors (as identified by genoCN).
Chromosome region | N | Genes | |
Homozygous deletion | chr9_22534004_22615342 | 3 | |
chr9_21413394_21951866 | 2 | IFNE-IFNA1-MIR31-MTAP-LOC554202 | |
chr9_21998026_22531137 | 2 | CDKN2B-AS1-CDKN2B-DMRTA1 | |
chr9_22617742_23432605 | 2 | ||
High-level amplification | chr7_54622953_55307516 | 3 | EGFR-VSTM2A-SEC61G |
chr12_56366092_56463559 | 2 | CDK2-RAB5B-RPS26-IKZF4-SUOX | |
chr3_38411_267992 | 2 | CHL1 | |
chr7_54577787_54620005 | 2 | VSTM2A | |
chr7_55312776_55466552 | 2 | LANCL2 | |
chr7_61504406_62203847 | 2 | ||
chr8_121235610_121468055 | 2 | MTBP-MRPL13-COL14A1 |
Copy neutral loss of heterozygosity (CNLOH) and CDKN2A expression
In the 1p/19q-co-deleted tumors, chromosome arm 9p was the most frequent large-CNLOH-affected chromosome, in 13.2% of cases (Figure 2, Panel A, Top Part). A CDKN2A loss of heterozygosity with a normal copy number status was observed in 13.2% of the cases. Correlation of the SNP-array profiling and the CDKN2A expression indicates that the CNLOH is associated with CDKN2A protein silencing in 3/9 of the cases in the 1p/19q-co-deleted AOD tumors (Figures 3 and 4).
In contrast, in the non-1p/19q-co-deleted tumors, CNLOH affected primarily chromosome arm 17p in 20.0% of the cases (Figure 2, Panel A, Bottom part). A TP53 (located on chromosome arm 17p) loss of heterozygosity with normal copy number status was observed in 26.7% of the cases.
The co-occurrence of genomic breakpoints
By definition, in the 1p/19q-co-deleted tumors, the most frequent genomic breakpoints were located in chromosomes 1 and 19 in 100% of the tumors (Figure 2, Panel C, Top part and Table 1). Surprisingly, in the non-1p/19q-co-deleted tumors, one of the most common genomic breakpoints also occurred on chromosome 1, close to the centromere (Figure 2, Panel C, Bottom part and Table 2). Interestingly, other recurring breakpoints have been observed in the 1p/19q- and non-1p/19q-co-deleted AOD tumors that disrupt putative candidate genes in AOD oncogenesis (Tables S1 and S2, respectively)
To pinpoint new putative genomic rearrangements, the co-occurrence of the genomic breakpoints was analyzed in both groups. In the 1p/19q-co-deleted tumors, by definition, the chromosome 1 and 19 centromeric breakpoints were observed simultaneously within all of the tumors (Figure S1, Panel A). In the non-1p/19q-co-deleted tumors, the most common co-occurrence of genomic breakpoints involved chromosome 9 (44683090) and chromosome 19 (32455280) in 6/15 cases (Figure S1, Panel B).
Clinico-molecular correlations
No statistically significant difference was observed between the cohort of patients with 1p/19q-co-deleted tumors versus the cohort of patients with non-1p/19q-co-deleted tumors in terms of: (i) sex ratio (1.3 versus 1.5, p = 0.9), (ii) median age at diagnosis (50.0 versus 49.9 years, p = 0.9) and (iii) median KPS at diagnosis (90 versus 90%, p = 0.9).
Although it does not reach statistical significance, patients with 1p/19q co-deleted AOD have longer progression free survival compared to patients with non-1p/19q-co-deleted AOD (median PFS, 846 versus 638 days respectively, p = 0.12, Figure S2-Panel A). Patients with 1p/19q co-deleted tumors survive longer than their non-1p/19q co-deleted counterparts (median OS, 886 versus 696 days respectively, p = 0.04, Figure S2-Panel B)
Discussion
AOD forms a heterogeneous subgroup of diffuse gliomas with both a heterogeneous biology and clinical course. In addition to the clinical, pathological and radiological studies, pivotal biological studies have identified critical molecular abnormalities with both clinical and biological relevance in AOD [4], [5], [7], [14], [15]. The 1p/19q-co-deletion has been shown to be recurring and is associated with better outcomes in AOD patients [4]–[7]. Recently, the IDH1/IDH2, CIC and FUBP1 mutations have been discovered in 100%, ∼80% and ∼25% of the 1p/19q-co-deleted AOD tumors [13]–[15], [23]. At the epigenomic level, the hypermethylated phenotype has been shown to be associated with IDH mutation and better outcomes in AOD patients [24]–[27]. Therefore, molecular characterization contributes not only to the basic dissection of the AOD group but also to the identification of new relevant biomarkers.
However, to our knowledge, the present study is the first to investigate a large prospective cohort of centrally validated AOD cases, using a high-resolution SNP array. One of the advantages of SNP arrays is their ability to assess not only genomic copy number variations but also copy neutral loss of heterozygosity (uniparental disomy).
Using this strategy, we have identified novel focal- and large-genomic abnormalities in AOD. Frequent CNLOH targeting of chromosome arm 9p and the CDKN2A locus have been observed in the 1p/19q-co-deleted tumors. Therefore, the present study shows that chromosome arm 9p and the CDKN2A locus are by far the most frequently altered genomic regions in the 1p/19q-co-deleted tumors, either through genomic loss (32.4%) or CNLOH (13.2%). In patients with CDKN2A CNLOH, we found that the CDKN2A expression was silenced in 3/9 patients, suggesting that CNLOH is one mechanism of CDKN2A silencing and expression regulation. In cancer cells, CNLOH has been shown to regulate gene expression according to the parental gene duplicate (regardless of imprinting) [28]. Interestingly, a homozygous deletion of FUBP1 was detected in one case. These data combined with the recent work of Bettogowda et al. suggest that FUBP1 has a putative tumor suppressor role in oligodendrogliomagenesis. In addition, the high resolution genome-wide analysis conducted in the present study highlighted multiple novel focal genomic abnormalities containing putative genes involved in AOD oncogenesis. Further investigations are required to specify these candidate genes and their role in the biology of AOD.
Our study confirms that despite a rigorously controlled homogeneous pathological aspect, AOD is a heterogeneous subgroup of tumors in terms of its molecular features. The majority of tumors exhibited the 1p/19q-co-deletion (82%), while a minority of cases (18%) harbored molecular alterations frequently observed in high-grade astrocytic tumors (i.e., EGFR amplification, chromosome 10 loss). The molecular status has been validated in a prospective clinical trial as a critical prognosis indicator in AOD patients [4], [5], supporting the implementation of molecular testing, particularly the 1p/19q status, combined with pathological features in AOD diagnosis. The best technique for the detection of the 1p/19q-co-deletion is still debated. Our study supports whole chromosome screening of chromosomes 1 and 19 in order to reliably detect the 1p/19q-co-deletion, with the centromeric breakpoints as a surrogate marker of t(1;19)(q10;p10), since limited or isolated 1p and 19q losses have also been observed in “false” 1p/19q-co-deleted tumors [8], [9], [29], [30].
Because t(1;19)(q10;p10) is a genomic hallmark of oligodendrogliomas and the putative fusion gene has not yet been identified [31], a part of the present work was focused on the genomic breakpoints and their occurrence in order to pinpoint putative chimeric genes. Multiple genes were found to be disrupted by chromosome breakpoints, though additional molecular studies are required to provide a more in-depth investigation of the “disrupted” genes and the potential fusion gene resulting from these genomic breakpoints co-occurrences.
The IDH1/2 mutations, as previously shown, were strongly associated with the 1p/19q-co-deletion (93.4% of the 1p/19q-co-deleted AOD cases exhibited the IDH1/2 mutation). We previously reported that all of the 1p/19q-co-deleted tumors are IDH1/2 mutated [23]. This minor discrepancy might be related to tumor heterogeneity.
Finally, the limited number of non 1p/19q-co-deleted tumors and the short follow-up do not allow robust prognostic analysis so far. Nonetheless, as expected, patients with 1p/19q co-deleted tumors survive longer than patients whom tumor does not harbor this biomarker.
In conclusion, high resolution SNP array analysis was used in a prospective centrally reviewed series of AOD-identified novel copy number abnormalities containing putative candidate genes and identified CNLOH as a novel recurrent genomic abnormality in AOD. In addition to neuropathological examination, integration of the copy number abnormality data with other OMICS data will aid in specifying the genetic portraits of the different entities encompassed in the AOD group, aiding in a more accurate histomolecular diagnosis and a better understanding of AOD oncogenesis.
Supporting Information
Acknowledgments
Institut Hospitalier Universitaire de Neurosciences Translationnelles de Paris. POLA tumor bank.
POLA Network
CHU Amiens: Henri Sevestre. CHU Angers: Sophie Michalak, Edmond Al Nader. CHU Bicêtre: Catherine Lacroix, Clovis Adam. CHU Besançon: Gabriel Viennet, Stéphanie Servagi-Vernat. CHU Bordeaux: Hugues Loiseau. CHU Brest: Isabelle Quintin-Roue. CHU Caen: Jean-Sébastien Guillamo, Evelyne Emery. CHU Clermont-Ferrand: Jean-Louis Kemeny. CLCC Dijon: Marie-Hélène Aubriot-Lorton. CHU Créteil:Christov Christo. CHU Lariboisière: Marc Polivka. CHU Lille: François Dubois, Claude-Aliain Maurage. CHU Limoges: Edouard Marcel Gueye. CHU Montpellier: Valérie Rigau. CHU Nancy: Jean-Michel Vignaud. CHU Nantes: Mario Campone, Jean-Sébastien Frenel. CHU Nice: Fanny VandenBos. CHU Reims: Marie-Danièle Diebold. CHU Rennes: DanChristian Chiforeanu. CHU Rouen: Annie Laguerrière. CHU Saint-Etienne: Michel Peoc'h. CHU Strasbourg: Marie-Pierre Chenard. Toulouse: Elisabeth Cohen-Moyal, Xavier Lubrano.
Funding Statement
This work is funded by the French Institut National du Cancer (INCa) and part of the national program Cartes d'Identité des Tumeurs ® (CIT) (http://cit.ligue-cancer.net/) funded and developed by the Ligue nationale contre le cancer. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Central Brain Tumor Registry of the United States (n.d.). Available:http://www.cbtrus.org/. Accessed 2012 Jun 10.
- 2. Rigau V, Zouaoui S, Mathieu-Daudé H, Darlix A, Maran A, et al. (2011) French brain tumor database: 5-year histological results on 25 756 cases. Brain Pathol 21: 633–644 doi:10.1111/j.1750-3639.2011.00491.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, et al. (2007) The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 114: 97–109 doi:10.1007/s00401-007-0243-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Cairncross G, Berkey B, Shaw E, Jenkins R, Scheithauer B, et al. (2006) Phase III trial of chemotherapy plus radiotherapy compared with radiotherapy alone for pure and mixed anaplastic oligodendroglioma: Intergroup Radiation Therapy Oncology Group Trial 9402. J Clin Oncol 24: 2707–2714 doi:10.1200/JCO.2005.04.3414 [DOI] [PubMed] [Google Scholar]
- 5. van den Bent MJ, Carpentier AF, Brandes AA, Sanson M, Taphoorn MJB, et al. (2006) Adjuvant procarbazine, lomustine, and vincristine improves progression-free survival but not overall survival in newly diagnosed anaplastic oligodendrogliomas and oligoastrocytomas: a randomized European Organisation for Research and Treatment of Cancer phase III trial. J Clin Oncol 24: 2715–2722 doi:10.1200/JCO.2005.04.6078 [DOI] [PubMed] [Google Scholar]
- 6. Reifenberger J, Reifenberger G, Liu L, James CD, Wechsler W, et al. (1994) Molecular genetic analysis of oligodendroglial tumors shows preferential allelic deletions on 19q and 1p. Am J Pathol 145: 1175–1190. [PMC free article] [PubMed] [Google Scholar]
- 7. Cairncross JG, Ueki K, Zlatescu MC, Lisle DK, Finkelstein DM, et al. (1998) Specific genetic predictors of chemotherapeutic response and survival in patients with anaplastic oligodendrogliomas. J Natl Cancer Inst 90: 1473–1479. [DOI] [PubMed] [Google Scholar]
- 8. Jenkins RB, Blair H, Ballman KV, Giannini C, Arusell RM, et al. (2006) A t(1;19)(q10;p10) mediates the combined deletions of 1p and 19q and predicts a better prognosis of patients with oligodendroglioma. Cancer Res 66: 9852–9861 doi:10.1158/0008-5472.CAN-06-1796 [DOI] [PubMed] [Google Scholar]
- 9. Griffin CA, Burger P, Morsberger L, Yonescu R, Swierczynski S, et al. (2006) Identification of der(1;19)(q10;p10) in five oligodendrogliomas suggests mechanism of concurrent 1p and 19q loss. J Neuropathol Exp Neurol 65: 988–994 doi:10.1097/01.jnen.0000235122.98052.8f [DOI] [PubMed] [Google Scholar]
- 10. Yan H, Parsons DW, Jin G, McLendon R, Rasheed BA, et al. (2009) IDH1 and IDH2 mutations in gliomas. N Engl J Med 360: 765–773 doi:10.1056/NEJMoa0808710 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Sanson M, Marie Y, Paris S, Idbaih A, Laffaire J, et al. (2009) Isocitrate dehydrogenase 1 codon 132 mutation is an important prognostic biomarker in gliomas. J Clin Oncol 27: 4150–4154 doi:10.1200/JCO.2009.21.9832 [DOI] [PubMed] [Google Scholar]
- 12. Idbaih A, Crinière E, Marie Y, Rousseau A, Mokhtari K, et al. (2008) Gene amplification is a poor prognostic factor in anaplastic oligodendrogliomas. Neuro-oncology 10: 540–547 doi:10.1215/15228517-2008-022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Bettegowda C, Agrawal N, Jiao Y, Sausen M, Wood LD, et al. (2011) Mutations in CIC and FUBP1 contribute to human oligodendroglioma. Science 333: 1453–1455 doi:10.1126/science.1210557 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Sahm F, Koelsche C, Meyer J, Pusch S, Lindenberg K, et al. (2012) CIC and FUBP1 mutations in oligodendrogliomas, oligoastrocytomas and astrocytomas. Acta Neuropathol 123: 853–860 doi:10.1007/s00401-012-0993-5 [DOI] [PubMed] [Google Scholar]
- 15. Yip S, Butterfield YS, Morozova O, Chittaranjan S, Blough MD, et al. (2012) Concurrent CIC mutations, IDH mutations, and 1p/19q loss distinguish oligodendrogliomas from other cancers. J Pathol 226: 7–16 doi:10.1002/path.2995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Home - ClinicalTrials.gov (n.d.). Available:http://www.clinicaltrials.gov/. Accessed 2012 Jun 10.
- 17. Houillier C, Wang X, Kaloshi G, Mokhtari K, Guillevin R, et al. (2010) IDH1 or IDH2 mutations predict longer survival and response to temozolomide in low-grade gliomas. Neurology 75: 1560–1566 doi:10.1212/WNL.0b013e3181f96282 [DOI] [PubMed] [Google Scholar]
- 18. Ritchie ME, Carvalho BS, Hetrick KN, Tavaré S, Irizarry RA (2009) R/Bioconductor software for Illumina's Infinium whole-genome genotyping BeadChips. Bioinformatics 25: 2621–2623 doi:10.1093/bioinformatics/btp470 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Scharpf RB, Ruczinski I, Carvalho B, Doan B, Chakravarti A, et al. (2011) A multilevel model to address batch effects in copy number estimation using SNP arrays. Biostatistics 12: 33–50 doi:10.1093/biostatistics/kxq043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Bengtsson H, Neuvial P, Speed TP (2010) TumorBoost: normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays. BMC Bioinformatics 11: 245 doi:10.1186/1471-2105-11-245 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Sun W, Wright FA, Tang Z, Nordgard SH, Van Loo P, et al. (2009) Integrated study of copy number states and genotype calls using high-density SNP arrays. Nucleic Acids Res 37: 5365–5377 doi:10.1093/nar/gkp493 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I (2001) Controlling the false discovery rate in behavior genetics research. Behav Brain Res 125: 279–284. [DOI] [PubMed] [Google Scholar]
- 23. Labussière M, Idbaih A, Wang X-W, Marie Y, Boisselier B, et al. (2010) All the 1p19q codeleted gliomas are mutated on IDH1 or IDH2. Neurology 74: 1886–1890 doi:10.1212/WNL.0b013e3181e1cf3a [DOI] [PubMed] [Google Scholar]
- 24. Christensen BC, Smith AA, Zheng S, Koestler DC, Houseman EA, et al. (2011) DNA methylation, isocitrate dehydrogenase mutation, and survival in glioma. J Natl Cancer Inst 103: 143–153 doi:10.1093/jnci/djq497 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Xu W, Yang H, Liu Y, Yang Y, Wang P, et al. (2011) Oncometabolite 2-hydroxyglutarate is a competitive inhibitor of α-ketoglutarate-dependent dioxygenases. Cancer Cell 19: 17–30 doi:10.1016/j.ccr.2010.12.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Turcan S, Rohle D, Goenka A, Walsh LA, Fang F, et al. (2012) IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype. Nature 483: 479–483 doi:10.1038/nature10866 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. van den Bent MJ, Gravendeel LA, Gorlia T, Kros JM, Lapre L, et al. (2011) A hypermethylated phenotype is a better predictor of survival than MGMT methylation in anaplastic oligodendroglial brain tumors: a report from EORTC study 26951. Clin Cancer Res 17: 7148–7155 doi:10.1158/1078-0432.CCR-11-1274 [DOI] [PubMed] [Google Scholar]
- 28. Makishima H, Maciejewski JP (2011) Pathogenesis and consequences of uniparental disomy in cancer. Clin Cancer Res 17: 3913–3923 doi:10.1158/1078-0432.CCR-10-2900 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Idbaih A, Marie Y, Pierron G, Brennetot C, Hoang-Xuan K, et al. (2005) Two types of chromosome 1p losses with opposite significance in gliomas. Ann Neurol 58: 483–487 doi:10.1002/ana.20607 [DOI] [PubMed] [Google Scholar]
- 30. Jeuken J, Cornelissen S, Boots-Sprenger S, Gijsen S, Wesseling P (2006) Multiplex ligation-dependent probe amplification: a diagnostic tool for simultaneous identification of different genetic markers in glial tumors. J Mol Diagn 8: 433–443 doi:10.2353/jmoldx.2006.060012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Benetkiewicz M, Idbaih A, Cousin P-Y, Boisselier B, Marie Y, et al. (2009) NOTCH2 is neither rearranged nor mutated in t(1;19) positive oligodendrogliomas. PLoS ONE 4: e4107 doi:10.1371/journal.pone.0004107 [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.