Biomedical subjects

Norma J Nowak

Publications and source records attributed to Norma J Nowak.

At least 19 recordsLinked to original sources

PubMed2007

aCGH local copy number aberrations associated with overall copy number genomic instability in colorectal cancer: coordinate involvement of the regions including BCR and ABL.

In order to identify small regions of the genome whose specific copy number alteration is associated with high genomic instability in the form of overall genome-wide copy number aberrations, we have analyzed array-based comparative genomic hybridization (aCGH) data from 33 sporadic colorectal carcinomas. Copy number changes of a small number of specific regions were significantly correlated with elevated overall amplifications and deletions scattered throughout the entire genome. One significant region at 9q34 includes the c-ABL gene. Another region spanning 22q11-q13 includes the breakpoint cluster region (BCR) of the Philadelphia chromosome. Coordinate 22q11-q13 alterations were observed in 9 of 11 tumors with the 9q34 alteration. Additional regions on 1q and 14q were associated with overall genome-wide copy number changes, while copy number aberrations on chromosome 7p, 7q, and 13q21.1-q31.3 were found associated with this instability only in tumors from patients with a smoking history. Our analysis demonstrates there are a small number of regions of the genome where gain or loss is commonly associated with a tumor's overall level of copy number aberrations. Our finding BCR and ABL located within two of the instability-associated regions, and the involvement of these two regions occurring coordinately, suggests a system akin to the BCR-ABL translocation of CML may be involved in genomic instability in about one-third of human colorectal carcinomas.

Adult↗

PubMed2006

Genomic profiles of colorectal cancers differ based on patient smoking status.

Human sporadic colorectal cancer is the result of a lengthy somatic evolutionary process facilitated by various forms of genomic instability. Such instability arises endogenously from mutations in genes whose role is to preserve genomic integrity, and exogenously from environmental agents that generate genomic damage. We have found that cigarette smoking shifts the genomic profiles and genomic instability patterns of colorectal carcinomas. The genomic profiles of 57 consecutive cancers were examined; 31 cases were current or former smokers and 26 were nonsmokers. Genome-wide allelotypes of 348 markers were examined, along with comparative genomic hybridization (CGH) on ordered BAC microarrays, microsatellite instability, and inter-(simple sequence repeat) polymerase chain reaction instability. Tumors from nonsmokers exhibited losses of heterozygosity, particularly on chromosomes 14 and 18, whereas tumors from smokers exhibited a more diffuse pattern of allelic losses. Tumors from smokers exhibited higher overall rates of loss of heterozygosity, but showed lower rates of background microsatellite instability (MSI-L). On BAC array CGH, higher levels of generalized amplifications and deletions were observed in tumors from smokers, differentially affecting male smokers. In the transforming growth factor-beta signaling pathway, MADH4 mutations were more common in tumors from smokers, whereas transforming growth factor-beta RII mutations were more common among nonsmokers.

Adult↗

PubMed2006

Genomic instability of human aberrant crypt foci measured by inter-(simple sequence repeat) PCR and array-CGH.

Aberrant crypt foci (ACF) are the earliest identifiable neoplastic lesions in the colon. Thirty-two ACFs were examined for genomic instability in forms detectable either by inter-(simple sequence repeat) PCR or by array comparative genomic hybridization [array-CGH]. One-fourth of ACFs revealed moderate instability by inter-(simple sequence repeat) PCR; none showed amplifications or deletions on array-CGH. The absence of genomic events detectible by BAC array-CGH indicates early events in colorectal tumor progression are typically smaller than the approximate 150 kb size of a BAC clone insert.

Aged, 80 and over↗

PubMed2006

Array CGH analysis of pediatric medulloblastomas.

Brain tumors are the second most common childhood cancer. We used high-resolution array comparative genomic hybridization (aCGH) to analyze losses and gains of genetic material from 24 medulloblastomas. The bacterial artificial chromosome clones were ordered on the array, allowing for an average resolution of approximately 420 kilobases. The advantage of this high resolution is that the breakpoints associated with subregional chromosome copy number aberrations can be accurately defined, which in turn allows candidate genes within these regions to be readily defined. In this analysis, we confirmed the frequent involvement of loss of 17p and gain of 17q, although we have now established the position of the breakpoint that consistently lies in the chr17:18318880-19046234 region of the chromosome. Other frequent losses were seen on 8p, 10q, 16q, and 20p, and frequent gains were seen on 2p, 4p, 7, and 19. In addition, the fine-resolution mapping provided by aCGH made it possible to define small chromosome deletions in 1q23.3-q24.2, 2q13.12-q13.2, 6q25-qter, 8p23.1, 10q25.1, and 12q13.12-q13.2. Overall, amplification events were rare, the most common involving MYC (16%), on 8q, although isolated events were seen in 10p11 and 3q.

Cerebellar Neoplasms↗

PubMed2006

20q11.1 amplification in giant-cell tumor of bone: Array CGH, FISH, and association with outcome.

The goal of this study was to identify recurrent regions of genomic gain or loss in giant-cell tumor of bone (GCTb). Array comparative genomic hybridization (aCGH) was performed for 20 frozen tumor samples of GCTb. A separate subset of 59 GCTb with outcome data was used for validation. The most frequent region of change identified by aCGH was gain of a 1-Mbp region at 20q11.1. In the validation arm of 59 cases the minimal common region of copy number gain at 20q11.1, seen in 54% of the samples, was BAC clone RP11-4O9, which contained the genes TPX2 and BCL2L1. For most cases, amplification was restricted to the mononuclear component and was not present in the multinucleated giant cells. Southern blot for TPX2 and BCL2L1 identified the former as the gene with the highest level of amplification for these two proposed candidate genes of importance. Immunohistochemistry for TPX2 expression correlated with amplification, while BCL2L1 expression was not identified. Kaplan-Meier curves for progression-free survival showed a statistically significant difference for cases with 20q11.1 amplification (P = 0.0001). Univariate analysis involving Cox proportional hazards models did not show a significant difference for initial treatment type (curettage versus resection) (P = 0.575), age (</=50 vs. >50) (P = 0.543), or sex (P = 0.268), but did correlate with 20q11.1 amplification (P = 0.001). By multivariate analysis, it was found that 20q11.1 amplification (P = 0.001) was the only factor to reach statistical significance. 20q11.1 amplification can be used as a marker of prognostic importance in GCTb. We propose TPX2 as a candidate oncogene in the core-amplified region at 20q11.1.

Bone Neoplasms↗

PubMed2005

Molecular study of malignant gliomas treated with epidermal growth factor receptor inhibitors: tissue analysis from North American Brain Tumor Consortium Trials 01-03 and 00-01.

PURPOSE: We investigated the molecular effect of the epidermal growth factor receptor (EGFR) inhibitors erlotinib and gefitinib in vivo on all available tumors from patients treated on North American Brain Tumor Consortium trials 01-03 and 00-01 for recurrent or progressive malignant glioma. EXPERIMENTAL DESIGN: EGFR expression and signaling during treatment with erlotinib or gefitinib were analyzed by Western blot and compared with pre-erlotinib/gefitinib-exposed tissue or unexposed controls. Tumors were also analyzed for EGFR mutations and for other genomic abnormalities by array-based comparative genomic hybridization. Clinical data were used to associate molecular features with tumor sensitivity to erlotinib or gefitinib. RESULTS: Erlotinib and gefitinib did not markedly affect EGFR activity in vivo. No lung signature mutations of EGFR exons 18 to 21 were observed. There was no clear association between erlotinib/gefitinib sensitivity and deletion or amplification events on array-based comparative genomic hybridization analysis, although novel genomic changes were identified. CONCLUSIONS: As erlotinib and gefitinib were generally ineffective at markedly inhibiting EGFR phosphorylation in these tumors, other assays may be needed to detect molecular effects. Additionally, the mechanism of erlotinib/gefitinib sensitivity likely differs between brain and lung tumors. Finally, novel genomic changes, including deletions of chromosomes 6, 21, and 22, represent new targets for further research.

Antineoplastic Agents↗

PubMed2005

Two functional coding single nucleotide polymorphisms in STK15 (Aurora-A) coordinately increase esophageal cancer risk.

STK15/Aurora-A is a serine/threonine kinase essential for chromosome segregation and cytokinesis, and is considered to be a cancer susceptibility gene in mice and humans. Two coding single nucleotide polymorphisms in Aurora-A, 91T>A [phenylalanine/isoleucine (F/I)] and 169G>A [valine/isoleucine (V/I)], create four haplotypes, 91T-169G, 91A-169G, 91T-169A, and 91A-169A. We evaluated the association between these coding single nucleotide polymorphisms and esophageal cancer risk by genotyping 197 esophageal cancer cases and 146 controls. Haplotype 91A-169A (I31/I57) was observed to be statistically more frequent in cancer cases (odds ratio, 3.1452; 95% confidence interval, 1.0258-9.6435). Functional differences among the four isoforms were then analyzed to reveal the source of the cancer risk. Kinase activity levels of I31/I57 and F31/I57 were reduced to 15% and 40% compared with I31/V57 in vivo and in vitro. We considered the differences between the kinase activities and divided individuals into four categories of Aurora-A haplotype combination. Category I had 57.5% or less kinase activity compared with the most common category, category III, and had a significantly higher estimated cancer risk (odds ratio, 5.5328; 95% confidence interval, 1.8149-16.8671). Abnormal nuclear morphology, a characteristic of genomic instability, was observed to be 30 to 40 times more frequent in human immortalized fibroblast cells overexpressing I31/I57 or F31/I57 compared with the others. Furthermore, significantly higher levels of chromosomal instability were observed in cancers in category I (homozygote 91T-169A) than those in category III (homozygous 91A-169G). These results indicate that the less kinase active Aurora-A haplotype combinations might induce genomic instability and increase esophageal cancer risk either in a recessive or a dominant manner.

Aurora Kinase A↗

PubMed2005

Rapid array-based genomic characterization of a subtle structural abnormality: a patient with psychosis and der(18)t(5;18)(p14.1;p11.23).

Array-based copy number analysis has recently emerged as a rapid means of mapping complex and/or subtle chromosomal abnormalities. We have compared two such techniques, using bacterial artificial chromosome (BAC) and single nucleotide polymorphism (SNP) arrays in the evaluation of a 45-year-old woman with dysmorphic features, mental retardation, psychosis, and an unbalanced derivative chromosome 18, (46,XX, der(18)t(18;?)(p12;?)). Both array-based methods demonstrated that the additional material on chromosome 18 was of 5p origin. The 5p duplication mapped telomeric to 25.320 Mb (BAC array) and 25.607 Mb (SNP array), corresponding to the band 5p14.1. Both BAC and SNP arrays also showed a deletion involving chromosome 18p extending telomeric from 8.437 Mb (BAC array) and 8.352 Mb (SNP array), corresponding to the band 18p11.23. Molecular cytogenetic mapping using fluorescence in situ hybridization (FISH) supported the array findings and further refined the breakpoint regions, confirming that the BAC and SNP chips were both useful in this regard. Both case reports and linkage analyses have implicated these chromosomal intervals in psychosis. The array-based experiments were completed over the course of several days. While these methods do not eliminate the requirement for traditional fine-mapping, they provide an efficient approach to identifying the origin and extent of deleted and duplicated material in chromosomal rearrangements.

Chromosome Banding↗

PubMed2005

Identification of consistent novel submegabase deletions in low-grade oligodendrogliomas using array-based comparative genomic hybridization.

We have analyzed 18 low-grade gliomas using array comparative genomic hybridization (aCGH) with an average resolution of <500 kb. Because the majority of these tumors showed loss of chromosome arms 1p and 19q, we used custom statistical approaches to define submegabase hemizygous losses throughout the genome that correlated with 19q loss. As a result of this analysis, we have identified a approximately 550-kb region in 11q13 and a approximately 300-kb region in 13q12 that showed hemizygous deletion in virtually all the tumors analyzed regardless of their 1p/19q status. FISH analyses of interphase nuclei from the same tumors used for aCGH analysis confirmed the hemizygous loss. The identification of such specific changes provides a potentially very useful diagnostic marker for this subgroup of low-grade tumors. These regions of the genome define small numbers of candidate genes that are within the deletions. The aCGH analysis also defined the spectrum of gain and loss of genomic regions in low-grade oligodendrogliomas.

Brain Neoplasms↗

PubMed2005

Genomic profiling of myeloid sarcoma by array comparative genomic hybridization.

Myeloid sarcoma (MS) is a tumor mass of myeloblasts or immature myeloid cells occurring in an extramedullary site. In this study, seven cases of MS [stomach (1), testis (1), skin (2), and lymph node (3)] and 3 synchronous and 1 follow-up bone marrow (BM) samples were studied for genomic abnormalities using array comparative genomic hybridization (array-CGH). Array-CGH construction used approximately 5,400 bacterial artificial chromosome clones from the RPCI-11 library, spanning the human genome. Data were analyzed using the DNAcopy software and custom heuristics. All MS cases had genomic abnormalities detected by array-CGH. Unbalanced genomic abnormalities in five MS cases were confirmed by conventional cytogenetics (CC) and/or fluorescence in situ hybridization (FISH); these abnormalities included loss of 4q32.1-q35.2, 6q16.1-q21, and 12p12.2-p13.2 and gain of 8q21.2-q24.3, 8, 11q21-q25, 13q21.32-q34, 19, and 21. Array-CGH was also invaluable in identifying possible deletions, partner translocations, and breakpoints that were questionable by CC. The remaining two MS cases had genomic aberrations detected by array-CGH, but were not studied further by CC/FISH. Chromosome 8 was most commonly abnormal (3/7 cases). Identical genomic abnormalities were demonstrated in MS and in synchronous BM in two cases. These results demonstrate that array-CGH is a powerful tool to screen MS tissue for unbalanced genomic abnormalities, allowing identification of chromosome abnormalities when concurrent BM is nonanalyzable or nonleukemic.

Adult↗

PubMed2005

Novel amplicons on the short arm of chromosome 7 identified using high resolution array CGH contain over expressed genes in addition to EGFR in glioblastoma multiforme.

Amplification of a defined chromosome segment on the short arm of chromosome 7 has frequently been reported in glioblastoma multiforme (GBM), where it is generally assumed that it is the result of over expression of the epidermal growth factor receptor (EGFR) gene that provides the selective pressure to maintain the amplification event. We have used high resolution array comparative genomic hybridization (aCGH) to analyze amplification events on chromosome 7p in GBM, which demonstrates that, in fact, several other regions distinct from EGFR can be amplified. To determine the changes in gene expression levels associated with these amplification events, we used oligonucleotide expression arrays to investigate which of the genes in the amplified regions were also over expressed. These analyses demonstrated that not all genes in the amplicons showed increased expression, and we have defined a series of over expressed genes on 7p that could potentially contribute to the development of the malignant phenotype in these tumors. The global analysis of amplification afforded by aCGH analysis has improved our ability to define numerical chromosome abnormalities in cancer cells and has raised the possibility that genes other than EGFR may be important.

Chromosomes, Artificial, Bacterial↗

PubMed2005

Molecular characterization of a consistent 4.5-megabase deletion at 4q28 in prostate cancer cells.

Spectral karyotyping of prostate cell lines LNCaP, DU145, PC3, and 22RV demonstrated structural chromosome rearrangements involving the distal long arm of chromosome 4. In all but 22RV, these are nonreciprocal translocations between chromosomes 4 and 10. In 22RV, an apparently reciprocal t(2q;4q) is seen. Fluorescence in situ hybridization analysis of the chromosome 4 translocation breakpoints demonstrated that deletions were associated with all of the translocations, resulting in a net loss of chromosome material. Overlapping deletions in 4q28 approximately 34 were seen in LNCap, DU145, and 22RV, which defined an approximately 4.5-megabase pair common region of deletion. The deletion in PC3 was more proximal on 4q, involving the 4q21 approximately q26 region. A meta analysis of high-resolution definition of losses of chromosome material from published studies demonstrates that loss of 4q material may occur in at least 50% of primary tumors. This analysis defines a series of genes in the critical 4q region, which is potentially associated with prostate tumor development.

Chromosome Deletion↗

PubMed2005

Genome-wide aberrations in pancreatic adenocarcinoma.

Chromosomal instability, manifesting as copy number alterations (CNAs), is characteristic of pancreatic adenocarcinoma. We used bacterial artificial chromosome (BAC) array-based comparative genomic hybridization (aCGH) to examine the pancreatic adenocarcinoma genome for submicroscopic amplifications and deletions. Profiles of 33 samples (17 first-passage xenografts and 16 cell lines) identified numerous chromosomal regions with CNAs, including losses at 1p36.33 approximately p34.3, 1p13.3 approximately p13.2, 3p26, 3p25.2 approximately p22.3, 3p22.1 approximately p14.1, 4q28.3, 4q31, 4q35.1, 5q14.3, 6p, 6q, 8p23.3 approximately p12, 9p, 9q22.32 approximately q31.1, 13q33.2, 15q11.2, 16p13.3, 17p, 18q11.21 approximately q23 , 19p13.3 approximately p13.12, 19q13.2, 21p, 21q, and 22p, 22q and gains at 7p21.1 approximately p11.2, 7q31.32, 7q33, 8q11.1 approximately q24, 11p13, 14q22.2, 20p12.2, and 20q11.23 approximately q13.33. Novel regions containing CNAs were identified and refined by combining the increased resolution of our BAC CGH array with a statistical algorithm developed for assigning significance values to altered BACs across samples. A subset of array-based CNAs was validated using polymerase chain reaction-based techniques, immunohistochemistry and fluorescence in situ hybridization. BAC aCGH proved to be a powerful genome-wide strategy to identify molecular alterations in pancreatic cancer and to distinguish differences between cell line and xenograft aberration profiles. These findings should greatly facilitate further research in understanding the pathogenesis of this lethal disease, and could lead to the identification of novel therapeutic targets and biomarkers for early detection.

Adenocarcinoma↗

PubMed2005

Molecular characterization of the t(3;9) associated with immortalization in the MCF10A cell line.

The t(3;9)(p14;p21) in the MCF10A human mammary gland epithelial cell line was the single cytogenetic event that accompanied the transition from primary culture to immortalized cell line, suggesting that it is related to the development of the immortalization phenotype. To study the molecular consequences of the breakpoints in this rearrangement, we used a combination of fluorescence in situ hybridization (FISH) and array comparative genomic hybridization (CGH). The 3p14 translocation breakpoint occurs within BAC RP11-795e22, which accommodates only the TAFA1 gene, a novel cysteine-rich secreted protein thought to be involved in cytokine signaling. TAFA1 is expressed in normal breast tissue, not in MCF10A, and shows differential expression in a range of breast cancer cell lines. The 9p translocation breakpoint results in a deletion of approximately 4 megabases on the derivative chromosome 9, which includes the CDKN2A (p16) gene. Array CGH and FISH analysis demonstrated that BAC 149i22, which contains the CDKN2A/B genes, is also deleted specifically on the apparently normal copy of chromosome 9, making MCF10A null for the p16/p15 genes. The exact extent of gains and losses of chromosome regions resulting from rearrangements involving chromosomes 1q, 5q, and 8q have also been characterized using the BAC arrays.

Cell Line, Tumor↗

PubMed2005

Mapping segmental and sequence variations among laboratory mice using BAC array CGH.

We used arrays of 2069 BACs (1303 nonredundant autosomal clones) to map sequence variation among Mus spretus (SPRET/Ei and SPRET/Glasgow) and Mus musculus (C3H/HeJ, BALB/cJ, 129/J, DBA/2J, NIH, FVB/N, and C57BL/6) strains. We identified 80 clones representing 74 autosomal loci of copy number variation (|log(2)ratio| >/= 0.4). These variant loci distinguish laboratory strains. By FISH mapping, we determined that 63 BACs mapped to a single site on C57BL/6J chromosomes, while 17 clones mapped to multiple chromosomes (n = 16) or multiple sites on one chromosome (n = 1). We also show that small ratio changes (Delta log(2)ratio approximately 0.1) distinguish homozygous and heterozygous regions of the genome in interspecific backcross mice, providing an efficient method for genotyping progeny of backcrosses.

Animals↗

PubMed2005

In vitro and in vivo irinotecan-induced changes in expression profiles of cell cycle and apoptosis-associated genes in acute myeloid leukemia cells.

OBJECTIVE: To study irinotecan (CPT-11)-induced changes in expression profiles of genes associated with cell cycle control and apoptosis in myeloid leukemia cells in vitro and in vivo. METHODS: HL60 cells were exposed to clinically achievable concentrations of 7-ethyl-10-hydroxycamptothecin (SN-38), the active metabolite of CPT-11, and blood sampled from patients with acute myeloid leukemia and chronic myeloid leukemia in myeloid blast transformation treated with CPT-11. Gene expression changes were studied by cDNA microarray and correlated with biological responses by studying DNA distributions by flow cytometry. RESULTS: cDNA microarray analysis showed down-regulation and up-regulation of specific cell cycle-associated genes, consistent with loss of S-phase cells and temporary delay of G(1)-S-phase transition seen by flow cytometry. Flow cytometry showed that cells in S phase during SN-38 exposure underwent apoptosis, whereas cells in G(2)-M and G(1) were delayed in G(1) and entered S phase only 6 to 8 hours after drug removal, consistent with the observed changes in gene expression. Proapoptotic changes in gene transcription included down-regulation of antiapoptotic genes and up-regulation of proapoptotic genes. Many gene expression changes observed following in vitro SN-38 exposure were also seen following in vivo administration of 10 or 15 mg/m(2) CPT-11; notably, proapoptotic changes included reduced transcription of survivin pathway-associated genes and increased transcription of death receptor 5. CONCLUSION: CPT-11-induced changes in gene expression profiles in vitro and in vivo are consistent with temporary delay in G(1)-S transition and enhanced responsiveness to apoptosis, both of which may contribute to the synergistic interactions of this drug with antimetabolites.

Apoptosis↗

PubMed2004

Application of bacterial artificial chromosome array-based comparative genomic hybridization and spectral karyotyping to the analysis of glioblastoma multiforme.

Identification of genetic losses and gains is valuable in analysis of brain tumors. Locus-by-locus analyses have revealed correlations between prognosis and response to chemotherapy and loss or gain of specific genes and loci. These approaches are labor intensive and do not provide a global view of the genetic changes within the tumor cells. Bacterial artificial chromosome (BAC) arrays, which cover the genome with an average resolution of less than 1 MbP, allow defining the sum total of these genetic changes in a single comparative genomic hybridization (CGH) experiment. These changes are directly overlaid on the human genome sequence, thus providing the extent of the amplification or deletion, reflected by a megabase position, and gene content of the abnormal region. Although this array-based CGH approach (CGHa) seems to detect the extent of the genetic changes in tumors reliably, it has not been robustly tested. We compared genetic changes in four newly derived, early-passage glioma cell lines, using spectral karyotyping (SKY) and CGHa. Chromosome changes seen in cell lines under SKY analysis were also detected with CGHa. In addition, CGHa detected cryptic genetic gains and losses and resolved the nature of subtle marker chromosomes that could not be resolved with SKY, thus providing distinct advantages over previous technologies. There was remarkable general concordance between the CGHa results comparing the cell lines to the original tumor, except that the magnitude of the changes seen in the tumor sample was generally suppressed compared with the cell lines, a consequence of normal cells contaminating the tumor sample. CGHa revealed changes in cell lines that were not present in the original tumors and vice versa, even when analyzed at the earliest passage possible, which highlights the adaptation of the cells to in vitro culture. CGHa proved to be highly accurate and efficient for identifying genetic changes in tumor cells. This approach can accurately identify subtle, novel genetic abnormalities in tumors directly linked to the human genome sequence. CGHa far surpasses the resolution and information provided by conventional metaphase CGH, without relying on in vitro culture of tumors for metaphase spreads.

Brain Neoplasms↗

PubMed2004

Characterization of the 1p/19q chromosomal loss in oligodendrogliomas using comparative genomic hybridization arrays (CGHa).

Loss of genetic material from the short arm of chromosome 1 and the long arm of chromosome 19 in anaplastic oligodendrogliomas has been shown to predict responsiveness to chemotherapy. Currently, the most common approach used to detect this loss of 1p/19q material employs microsatellite/FISH analysis using markers along the length of these chromosome arms. This analysis is highly focused and carried out on a locus-by-locus basis and gives no indication of the extent of other genetic changes occurring in the tumor cells, which may be important in future studies to explore genetic heterogeneity in the response to treatment. We have investigated the use of comparative genomic hybridization arrays (CGHa) of bacterial artificial chromosomes (BACs) in the identification of tumor samples that carry loss of the 1p/19q chromosome arms. These BAC arrays carry approximately 6,000 BAC clones and provide an average inter-BAC resolution of 500 Kb. Using this approach we have clearly shown that 1p/19q loss in these cases, when compared with microsatellite-mediated detection of loss of heterozygosity, is due to physical hemizygous deletion of the whole chromosome arms in all cases. Furthermore, CGHa allows the simultaneous definition of the other genetic changes that are occurring in the tumors. From our survey of 14 tumors consisting of low-grade oligodendrogliomas (n = 6), anaplastic oligodendrogliomas (n = 5), or mixed oligoastrocytoma (n = 3). we were able to demonstrate the presence of additional genetic markers that were characteristic of the various grades of tumors as well as novel changes that had occurred. Thus, CGHa provides a robust, high throughput, genome-wide analysis of genetic changes of oligodendroglial tumors that can be used not only to predict chemo-responsiveness but also place these genetic changes in the context of other abnormalities in the same experiment without the need for extensive chromosome or LOH analysis.

Brain Neoplasms↗