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Query: UMLS:C0017636 (glioblastoma)
 18,345 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Gliomas are common and frequently malignant tumors of the central nervous system. Recurrent allelic losses of chromosome 22 have been reported in gliomas, indicating tumor-suppressor genes at this location. However, the target genes are still unknown. We applied a high resolution tiling-path chromosome 22 array to a series of 50 glioblastoma samples, with the aim of investigating the underlying abnormalities in both constitutional and tumor-derived DNA. We detected hemizygous deletions in 28% of the tumors (14 of 50), with monosomy 22 (10 of 50) being the predominant pattern. The distribution of overlapping hemizygous deletions delineated two putative tumor-suppressor loci (11.1 and 3.08 Mb in size) across 22q. Most strikingly, we identified two distinct loci affected by regional gains. Both alterations were of germ-line origin and were unique to samples from patients affected with tumors. Analysis of these two amplified regions revealed the presence of two interesting candidate genes: TOP3B and TAFA5. The TOP3B gene encodes a protein that seems to function in the unlinking of parental strands at the final stage of DNA replication and/or in the dissociation of structures in mitotic cells that could lead to recombination. The TAFA5 gene belongs to a novel family of proteins with similarity to chemokines and brain-specific expression. The role of the identified candidate loci should be studied further. Our results demonstrated the power of array-CGH to determine DNA copy number alterations in the context of germ-line- and tumor-specific aberrations.
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PMID:Chromosome 22 tiling-path array-CGH analysis identifies germ-line- and tumor-specific aberrations in patients with glioblastoma multiforme. 1594 96

Glioblastomas, the most frequent and malignant glial tumors, are known to be phenotypically heterogeneous. A low fraction of glioblastomas is associated with specific chromosomal losses at 1p and 19q, which are commonly found in oligodendrogliomas and are generally considered to be a primary event in the development of these tumors. Subsequent progression of oligodendroglial tumors appears to be triggered by additional molecular features underlying the transition to anaplastic oligodendroglioma and glioblastoma multiforme (GBM) such as deletions of 9p and 10q, and alterations of CDKN2A (p16), which is located at 9p21. These findings strengthen the view that GBM on rare occasions may develop from oligodendroglial differentiated cells. In the present study, we evaluated the newly established MI-4 glioblastoma cell line, which displays 1p and 19q specific alterations targeting preferential regions of allelic loss in glial neoplasms, by array-CGH and fluorescence in situ hybridization (FISH) analyses that were combined to obtain a high resolution map of targeted chromosome rearrangements and copy number changes throughout the genome. Genome-wide and chromosome 19 full coverage array-CGH analysis of the MI-4 cell line revealed that in this particular cell line, 1p-specific loss, including the CDKN2 (p18) gene, is not accompanied by loss of the previously described 19q13.3 tumor suppressor candidate region. Interestingly, the array-CGH (CGHa) profile showed an increase in copy number along most of 19q including the AKT2 oncogene and the KLKs gene family, which have previously been shown to be amplified in pancreatic carcinomas and upregulated in several tumors, respectively. The concomitant 1p partial loss and chromosome 19 alterations, with the +7 and -10-specific GBM markers associated with homozygous deletion of 9p21.3 including CDKN2A (p16), are distinct features of the glioblastoma MI-4 cell line, illustrating its origin from an olidodendroglial tumor. Based on these results, we conclude that the MI-4 glioblastoma cell line might function as a model system for investigations into the behavior of a defined oligodendroglioma subtype.
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PMID:Identification of oligodendroglioma specific chromosomal copy number changes in the glioblastoma MI-4 cell line by array-CGH and FISH analyses. 1610 84

To optimize treatment strategies for patients with glioblastoma, a more precise understanding of the molecular basis of this disease clearly is necessary. Therefore, numerous studies have focused on the molecular biology of glioblastoma and its linkage to clinical behavior. Here we investigated 70 glioblastomas using the array-based comparative genomic hybridization (array-CGH) with GenoSensor Array 300 to identify recurrent DNA copy number imbalances associated with patient outcomes. Univariate log-rank analysis of array-CGH data revealed 46 copy number aberrations (CNAs) associated with outcome. Among them, 26 CNAs were associated with shortened survival whereas the remaining 20 CNAs correlated with good prognosis. A hierarchical cluster analysis disclosed two genetically distinct groups of glioblastomas (1 and 2; 56 and 14 tumors, respectively). Univariate log-rank test discerned significant difference in survival between both genetic subsets while the 5-year survival rate consisted of 0 for group 1 and 63% for group 2. Multivariate analysis revealed that unfavorable genetic signature is an independent prognostic factor increasing a risk of patient death (hazard ratio, 4.38; P=0.00001). In conclusion, our current study suggests that glioblastomas can be subdivided into clinically relevant genetic subsets. Therefore, array-CGH screening of glioblastomas could provide clinically useful information and, perhaps, potentially improve the quality of treatment.
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PMID:Genetically distinct and clinically relevant subtypes of glioblastoma defined by array-based comparative genomic hybridization (array-CGH). 1655 91

Glioblastoma is the most common primary tumor of the central nervous system, but the underlying genetic changes that give rise to these tumors are still poorly understood. We report a primary glioblastoma with an unusual age of presentation. The patient was a 22-year-old man with a survival of 16 months. Morphological findings showed an increase of cellularity with positive GFAP and EGFR expression, increase of proliferate index, vascular hyperplasia with glomeruloid structures and necrosis. Molecular analysis showed EGFR amplification. No mutations of the TP53 or amplification of MDM2 and CDK4 were detected. Neither homozygous deletion of the 9p21 locus genes nor aberrant methylation were found. The cytogenetic study showed a clonal karyotype. The metaphases presented, among other anomalies, a small ring chromosome and double-minutes chromosomes. Using FISH and CGH techniques, it was found that the ring chromosome was a partial trisomy of chromosome 7, and the region implicated corresponded to 7p13-q21. Partial trisomies in glioblastoma could play an important role in defining those regions where genes implicated in this tumor process may be found. We studied the possible correlation of these findings with the tumoral phenotype.
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PMID:Primary glioblastoma with EGFR amplification and a ring chromosome 7 in a young patient. 1686 1

Symptomatic craniospinal dissemination of glioblastomas is considered rare, and unambiguous pathologic or molecular predictors of tumor leptomeningeal spread remain to be defined. We performed molecular analysis of 8 glioblastomas with symptomatic leptomeningeal dissemination by using fluorescence in situ hybridization and array-based comparative genomic hybridization (array-CGH). The most frequently encountered alteration was gain of the 1p36 locus, which was found in all 8 samples examined. Array-CGH analysis of 3 available samples also disclosed numerous gains at the 1pter-p36.1 locus involving at least 3 DNA clones from this chromosomal region. Consequently, an analysis of 1p copy number status might be kept in mind as an additional tool for further predicting the clinical course of glioblastoma.
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PMID:Gains at the 1p36 chromosomal region are associated with symptomatic leptomeningeal dissemination of supratentorial glioblastomas. 1736 34

Glioblastoma multiforme shows multiple chromosomal aberrations, the impact of which on gene expression remains unclear. To investigate this relationship and to identify putative initiating genomic events, we integrated a paired copy number and gene expression survey in glioblastoma using whole human genome arrays. Loci of recurrent copy number alterations were combined with gene expression profiles obtained on the same tumor samples. We identified a set of 406 "cis-acting DNA targeted genes" corresponding to genomic aberrations with direct copy-number-driving changes in gene expression, defined as genes with either significantly concordant or correlated changes in DNA copy number and expression. Functional annotation revealed that these genes participate in key processes of cancer cell biology, providing insights into the genetic mechanisms driving glioblastoma. The robustness of the gene selection was validated on an external microarray data set including 81 glioblastomas and 23 non-neoplastic brain samples. The integration of array CGH and gene expression data highlights a robust cis-acting DNA targeted genes signature that may be critical for glioblastoma progression, with two tumor suppressor genes PCDH9 and STARD13 that could be involved in tumor invasiveness and resistance to etoposide.
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PMID:Integrative genome-wide analysis reveals a robust genomic glioblastoma signature associated with copy number driving changes in gene expression. 1882 57

Genome structural variation includes segmental duplications, deletions, and other rearrangements, and array-based comparative genomic hybridization (array-CGH) is a popular technology for determining this. Drawing relevant conclusions from array-CGH requires computational methods for partitioning the chromosome into segments of elevated, reduced, or unchanged copy number. Several approaches have been described, most of which attempt to explicitly model the underlying distribution of data based on particular assumptions. Often, they optimize likelihood functions for estimating model parameters, by expectation maximization or related approaches; however, this requires good parameter initialization through prespecifying the number of segments. Moreover, convergence is difficult to achieve, since many parameters are required to characterize an experiment. To overcome these limitations, we propose a nonparametric method without a global criterion to be optimized. Our method involves mean-shift-based (MSB) procedures; it considers the observed array-CGH signal as sampling from a probability-density function, uses a kernel-based approach to estimate local gradients for this function, and iteratively follows them to determine local modes of the signal. Overall, our method achieves robust discontinuity-preserving smoothing, thus accurately segmenting chromosomes into regions of duplication and deletion. It does not require the number of segments as input, nor does its convergence depend on this. We successfully applied our method to both simulated data and array-CGH experiments on glioblastoma and adenocarcinoma. We show that it performs at least as well as, and often better than, 10 previously published algorithms. Finally, we show that our approach can be extended to segmenting the signal resulting from the depth-of-coverage of mapped reads from next-generation sequencing.
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PMID:MSB: a mean-shift-based approach for the analysis of structural variation in the genome. 1903 15

Glioblastoma Multiforme (GBM) is a malignant brain cancer that develops after accumulating genomic DNA damage that often includes gene amplifications and/or deletions. These copy number changes can be a critical step in brain tumor development. To evaluate glioblastoma genomic copy number changes, we determined the genome-wide copy number alterations in 31 GBMs. Illumina Bead Arrays were used to assay 22 GBMs and Digital Karyotyping was used on 8 GBM cell lines and one primary sample. The common amplifications we observed for all 31 samples was GLI/CDK4 (22.6%), MDM2 (12.9%) and PIK3C2B/MDM4 (12.9%). In the 22 GBM tumors, EGFR was amplified in 22.7% of surgical biopsies. The most common homozygously deleted region contained CDKN2A/CDKN2B (p15 and p16) occurring in 29% of cases. This data was compiled and compared to published array CGH studies of 456 cases of GBMs. Pooling our Illumina data with published studies yielded these average amplification rates: EGFR-35.7%, GLI/CDK4-13.4%, MDM2-9.2%, PIK3C2B/MDM4-7.7%, and PDGFRA-7.7%. The CDKN2A/CDKN2B locus was deleted in 46.4% of the combined cases. This study provides a larger assessment of amplifications and deletions in glioblastoma patient populations and shows that several different copy number technologies can produce similar results. The main pathways known to be involved in GBM tumor formation such as p53 control, growth signaling, and cell cycle control are all represented by amplifications or deletions of critical pathway genes. This information is potentially important for formulating targeted therapy in glioblastoma and for planning genomic studies.
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PMID:A survey of glioblastoma genomic amplifications and deletions. 1960 42

There is limited knowledge on the in vivo behavior of amplified regions in human tumors. First evidence indicates that amplicon structures are largely maintained in recurrent tumors. Here, we investigated the fate of amplified regions in several independent cases of recurrent glioblastoma and the possible association of 12q13-21 amplifications and survival. We analyzed 12q13-21 amplicon numbers and sizes in glioblastoma and their recurrences by array-CGH. The majority of the 12q13-21 amplicons found in the original tumor are lost in the subsequent recurrence. Likewise, the majority of the amplicons found in the first recurrence are lost in the second recurrence. The remaining amplicons of recurrences often expanded or were maintained in size. Because of re-emergences and de novo appearances of amplicons, however, the overall number of amplicons did not decrease in the recurrences. Understanding genetic changes including gene amplifications in the development of tumor recurrences will contribute to rational therapeutic strategies for an improved patient survival. We recognized a significant longer survival time in glioblastoma patients that lack amplifications of either CDK4, CYP27B1, XRCC6BP1 (KUB3), or MDM2.
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PMID:Amplicons on chromosome 12q13-21 in glioblastoma recurrences. 1983 52

Glioblastomas are morphologically and genetically heterogeneous, but little is known about the regional patterns of genomic imbalance within glioblastomas. We recently established a reliable whole genome amplification (WGA) method to randomly amplify DNA from paraffin-embedded histological sections with minimum amplification bias [Huang et al (J Mol Diagn 11: 109-116, 2009)]. In this study, chromosomal imbalance was assessed by array comparative genomic hybridization (CGH; Agilent 105K, Agilent Technologies, Santa Clara, CA, USA), using WGA-DNA from two to five separate tumor areas of 14 primary glioblastomas (total, 41 tumor areas). Chromosomal imbalances significantly differed among glioblastomas; the only alterations that were observed in > or =6 cases were loss of chromosome 10q, gain at 7p and loss of 10p. Genetic alterations common to all areas analyzed within a single tumor included gains at 1q32.1 (PIK3C2B, MDM4), 4q11-q12 (KIT, PDGFRA), 7p12.1-11.2 (EGFR), 12q13.3-12q14.1 (GLI1, CDK4) and 12q15 (MDM2), and loss at 9p21.1-24.3 (p16(INK4a)/p14(ARF)), 10p15.3-q26.3 (PTEN, etc.) and 13q12.11-q34 (SPRY2, RB1). These are likely to be causative in the pathogenesis of glioblastomas (driver mutations). In addition, there were numerous tumor area-specific genomic imbalances, which may be either nonfunctional (passenger mutations) or functional, but constitute secondary events reflecting progressive genomic instability, a hallmark of glioblastomas.
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PMID:Intratumoral patterns of genomic imbalance in glioblastomas. 2040 34


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