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PubMed2006

Disclosure of candidate genes in acute myeloid leukemia with complex karyotypes using microarray-based molecular characterization.

PURPOSE: To identify novel genomic regions of interest in acute myeloid leukemia (AML) with complex karyotypes, we applied comparative genomic hybridization to microarrays (array-CGH), allowing high-resolution genome-wide screening of genomic imbalances. PATIENTS AND METHODS: Sixty AML cases with complex karyotypes were analyzed using array-CGH; parallel analysis of gene expression was performed in a subset of cases. RESULTS: Genomic losses were found more frequently than gains. The most frequent losses affected 5q (77%), 17p (55%), and 7q (45%), and the most frequent genomic gains 11q (40%) and 8q (38%). Critical segments could be delineated to genomic fragments of only 0.8 to a few megabase-pairs of DNA. In lost/gained regions, gene expression profiling detected a gene dosage effect with significant lower/higher average gene expression levels across the genes located in the respective regions. Furthermore, high-level DNA amplifications were identified in several regions: 11q23.3-q24.1 (n = 7), 21q22 (n = 6), 11q23.3 (n = 5), 13q12 (n = 3), 8q24 (n = 3), 9p24 (n = 2), 12p13 (n = 2), and 20q11 (n = 2). Parallel analysis of gene expression in critical amplicons displayed overexpressed candidate genes (eg, C8FW and MYC in 8q24). CONCLUSION: In conclusion, a large spectrum of genomic imbalances, including novel recurring changes in AML with complex karyotypes, was identified using array-CGH. In addition, the combined analysis of array-CGH data with gene expression profiles allowed the detection of candidate genes involved in the pathogenesis of AML.

Acute Disease↗
PubMed2003

High-resolution analysis of genetic events in cancer cells using bacterial artificial chromosome arrays and comparative genome hybridization.

Chromosome analysis of cancer cells has been one of the primary means of identifying key genetic events in the development of cancer. The relatively low resolution of metaphase chromosomes, however, only allows characterization of major genetic events that are defined at the megabase level. The development of the human genome-wide bacterial artificial chromosome (BAC) libraries that were used as templates for the human genome project made it possible to design microarrays containing these BACs that can theoretically span the genome uninterrupted. Competitive hybridization to these arrays using tumor and normal DNA samples reveals numerical chromosome abnormalities (deletions and amplifications) that can be accurately defined depending on the density of the arrays. At present, we are using arrays with 6,000 BACs, which provide an average resolution of less than 700 kb. Analysis of tumor DNA samples using these arrays reveals small deletions and amplifications that were not detectable by chromosome analysis and provides a global view of these genetic changes in a single hybridization experiment in 24 hours. The extent of the genetic changes can then be determined precisely and the gene content of the affected regions established. These arrays have widespread application to the analysis of cancer patients and their tumors and can detect constitutional abnormalities as well. The availability of these high-density arrays now provides the opportunity to classify tumors based on their genetic fingerprints, which will assist in staging, diagnosis, and even prediction of response to therapy. Importantly, subtle genetic changes that occur consistently in tumor cell types may eventually be used to stratify patients for clinical trials and to predict their response to custom therapies.

Chromosome Aberrations↗
PubMed2005

Clustering expressed genes on the basis of their association with a quantitative phenotype.

Cluster analyses of gene expression data are usually conducted based on their associations with the phenotype of a particular disease. Many disease traits have a clearly defined binary phenotype (presence or absence), so that genes can be clustered based on the differences of expression levels between the two contrasting phenotypic groups. For example, cluster analysis based on binary phenotype has been successfully used in tumour research. Some complex diseases have phenotypes that vary in a continuous manner and the method developed for a binary trait is not immediately applicable to a continuous trait. However, understanding the role of gene expression in these complex traits is of fundamental importance. Therefore, it is necessary to develop a new statistical method to cluster expressed genes based on their association with a quantitative trait phenotype. We developed a model-based clustering method to classify genes based on their association with a continuous phenotype. We used a linear model to describe the relationship between gene expression and the phenotypic value. The model effects of the linear model (linear regression coefficients) represent the strength of the association. We assumed that the model effects of each gene follow a mixture of several multivariate Gaussian distributions. Parameter estimation and cluster assignment were accomplished via an Expectation-Maximization (EM) algorithm. The method was verified by analysing two simulated datasets, and further demonstrated using real data generated in a microarray experiment for the study of gene expression associated with Alzheimer's disease.

Algorithms↗
PubMed2004

Extreme value distribution based gene selection criteria for discriminant microarray data analysis using logistic regression.

One important issue commonly encountered in the analysis of microarray data is to decide which and how many genes should be selected for further studies. For discriminant microarray data analyses based on statistical models, such as the logistic regression models, gene selection can be accomplished by a comparison of the maximum likelihood of the model given the real data, L(D|M), and the expected maximum likelihood of the model given an ensemble of surrogate data with randomly permuted label, L(D(0)|M). Typically, the computational burden for obtaining L(D(0)M) is immense, often exceeding the limits of available computing resources by orders of magnitude. Here, we propose an approach that circumvents such heavy computations by mapping the simulation problem to an extreme-value problem. We present the derivation of an asymptotic distribution of the extreme-value as well as its mean, median, and variance. Using this distribution, we propose two gene selection criteria, and we apply them to two microarray datasets and three classification tasks for illustration.

Chromosome Mapping↗
PubMed2002

Amplicon mapping and transcriptional analysis pinpoint cyclin L as a candidate oncogene in head and neck cancer.

DNA gains targeting the 3q chromosome are common in head and neck squamous cell carcinomas, as well as in lung, ovarian, and cervical cancer. Several candidate oncogenes located on 3q were proposed, i.e., PIK3CA, p63, and eIF-5A2. However, none of these genes was found included in a narrow high-level amplification. Recently, microarray-based comparative genomic hybridization (array CGH) was developed for high-resolution screening of deletions and amplifications in tumor genomes. In this study, by microarray-based comparative genomic hybridization, we found a narrow 3q25.3 high-level amplification in a head and neck cancer cell line. We precisely delimited the 3-Mb length-amplified segment by semiquantitative PCR and measured the transcriptional level of every gene (RefSeq full-length mRNA) located inside this segment by cDNA microarray and quantitative reverse transcription-PCR. Four genes were overexpressed in three head and neck cancer cell lines with increased DNA copy number, compared with a control tongue cell line. We extended the transcriptional analysis of these four genes to 20 head and neck squamous cell carcinomas. Only one gene, cyclin L (ania-6a), is commonly overexpressed in primary tumors compared with corresponding normal tissues. This cyclin was previously pinpointed as a candidate for a role in promoting cell cycle entry. Thus, we propose cyclin L as a candidate oncogene in head and neck cancer.

Carcinoma, Squamous Cell↗
PubMed2005

Chromosomal protein HMGN1 modulates the expression of N-cadherin.

HMGN1 is a nuclear protein that binds to nucleosomes and alters the accessibility of regulatory factors to their chromatin targets. To elucidate its biological function and identify specific HMGN1 target genes, we generated Hmgn1-/- mice. DNA microarray analysis of Hmgn1+/+ and Hmgn1-/- embryonic fibroblasts identified N-cadherin as a potential HMGN1 gene target. RT-PCR and western blot analysis confirmed a linkage between HMGN1 expression and N-cadherin levels. In both transformed and primary mouse embryonic fibroblasts (MEFs), HMGN1 acted as negative regulator of N-cadherin expression. Likewise, the N-cadherin levels in early embryos of Hmgn1-/- mice were higher than those of their Hmgn1+/+ littermates. Loss of HMGN1 increased the adhesiveness, motility and aggregation potential of Hmgn1-/- MEFs, a phenotype consistent with increased levels of N-cadherin protein. Re-expression of wild-type HMGN1, but not of the mutant HMGN1 protein that does not bind to chromatin, in Hmgn1-/- MEFs, decreased the levels of N-cadherin and restored the Hmgn1+/+ phenotype. These studies demonstrate a role for HMGN1 in the regulation of specific gene expression. We suggest that in MEFs, and during early mouse development, the interaction of HMGN1 with chromatin down-regulates the expression of N-cadherin.

Animals↗
PubMed2004

Structural and functional analysis of rice genome.

Rice is an excellent system for plant genomics as it represents a modest size genome of 430 Mb. It feeds more than half the population of the world. Draft sequences of the rice genome, derived by whole-genome shotgun approach at relatively low coverage (4-6 X), were published and the International Rice Genome Sequencing Project (IRGSP) declared high quality (>10 X), genetically anchored, phase 2 level sequence in 2002. In addition, phase 3 level finished sequence of chromosomes 1, 4 and 10 (out of 12 chromosomes of rice) has already been reported by scientists from IRGSP consortium. Various estimates of genes in rice place the number at >50,000. Already, over 28,000 full-length cDNAs have been sequenced, most of which map to genetically anchored genome sequence. Such information is very useful in revealing novel features of macro- and micro-level synteny of rice genome with other cereals. Microarray analysis is unraveling the identity of rice genes expressing in temporal and spatial manner and should help target candidate genes useful for improving traits of agronomic importance. Simultaneously, functional analysis of rice genome has been initiated by marker-based characterization of useful genes and employing functional knock-outs created by mutation or gene tagging. Integration of this enormous information is expected to catalyze tremendous activity on basic and applied aspects of rice genomics.

Chromosomes, Plant↗
PubMed1999

[Forensic DNA analysis--past and future].

Since the introduction of DNA polymorphism analysis techniques to forensic science, forensic identification research has made radical, astonishing progress at a rate that has already rendered the initial methodologies introduced fifteen years ago obsolete. DNA extraction now can be quickly and efficiently performed by various kinds of commercially available kits. The advent of PCR has enabled the use of relatively crude and minute DNA as amplification templates while many kinds of new detection methods for analyzing the amplified products have also been developed. Although many minisatellites such as MCT118, YNZ22, COL2A1, and ApoB were highlighted at the beginning of 1980s, none of these loci, with the exception of MCT118, have proved useful for forensic DNA application due to their low amplification efficiency. On the other hand, STR loci containing four base pair repeat sequences have been used routinely for human identification since the mid-1990s. In the near future, the highly efficient STR should be selected as a consensus core marker in Japan. STR systems located on the Y chromosome are widely used in forensic science for the identification of male individuals. These systems have a special significance in forensic science cases where mixtures of male and female DNA are analyzed, as happens in cases of rape or other sexual crimes. The characteristics of high copy number, maternal inheritance, and high degree of sequence variability make mtDNA a powerful tool for forensic identification. Most of the variations in mtDNA among individuals are found within the displacement loop (D-loop). In all population groups, mtDNA sequences can be useful for discriminating among unrelated individuals. Now it is necessary to get as much as possible individual genetic information as quickly as possible in order to enable individual identification. We will create a new era in which forensic identification can be performed using microarray technology.

Blotting, Southern↗
PubMed2006

Assessment of aberrations on chromosome 8 in prostatic atrophy.

OBJECTIVE: To systematically examine the genetic alterations on chromosome 8 in prostate epithelia deriving from atrophic areas, and to compare these alterations with those of cells derived from prostatic intraepithelial neoplasia (PIN) and prostate cancer in the same organ. MATERIAL AND METHODS: Tissue microarrays were constructed from 50 patients with histologically different tissues, including normal, PIN, atrophy and cancer lesions. Control samples were obtained from 10 patients who died from causes other than prostate cancer. Multicolour DNA probes for 8p22, centromere 8 and 8q24 were used to detect genetic alterations by fluorescence in situ hybridisation analysis. RESULTS: Chromosomal alterations were detected on chromosome 8 in all analysed tissues. Including all observed signal patterns, a gradual increase of nuclei with loss of 8p22 was detected in normal (16%), in atrophy (21%), in PIN (25%) and in cancer tissue (31%), and there was gain in 8q24 in normal tissue (10%), in atrophy lesions (19%), in PIN (21%) and in cancer (27%). Generally, in all three lesion types the percentage of cells with 8q24 gain was significantly lower than the percentage of cells with loss of 8p22. CONCLUSION: This investigation confirms the presence of severe chromosomal aberrations in the epithelium of the atrophic glands of the prostate. The aberrations are the same those that can be found in PIN and in prostate cancer. These findings confirm the genetic instability of the cells in the atrophic areas of the prostate, which can be a target for further injuries, leading to prostate cancer.

Adolescent↗
PubMed2002

Distinction in gene expression profiles of oligodendrogliomas with and without allelic loss of 1p.

Oligodendrogliomas frequently, but not always show sensitivity to chemotherapy and recent studies demonstrated that allelic loss of chromosome 1p is highly associated with this chemosensitivity. To gain insight into the molecular mechanism of such difference, we examined comprehensive gene expression profiles of 11 oligodendroglial tumors, six with and five without 1pLOH (loss of heterozygosity), and two normal brain tissues using the oligonucleotide microarray (GeneChip). Statistically significant numbers of genes were expressed differentially between the two genetic subsets. Clustering analysis separated the tumor subsets well. The tumors with 1pLOH had similar expression profiles to the normal brain for those differentially expressed genes. Many genes showing higher expression in tumors with 1pLOH were presumed to have functions in nervous tissues. Notably, the majority of the 123 genes showing significant expression reduction in tumors with 1pLOH were either on chromosome 1 (50%) or on 19 (10%), and the average expression reduction ratio was about 50% (0.54+/-0.13) possibly reflecting the chromosomal deletion. Thus, the biological difference between the genetic subsets of oligodendroglioma was indeed reflected to gene expression profile, which provided baseline information for further studies to elucidate the mechanism of chemosensitivity in gliomas.

Adult↗
PubMed2002

Gene expression between a congenic strain that contains a quantitative trait locus of high bone density from CAST/EiJ and its wild-type strain C57BL/6J.

Peak bone density is an important determining factor of future osteoporosis risk. We previously identified a quantitative trait locus (QTL) that contributes significantly to high bone density on mouse chromosome 1 from a cross between C57BL/6J (B6) and CAST/EiJ (CAST) mouse strains. We then generated a congenic strain, B6.CAST-1T, in which the chromosomal fragment containing this QTL had been transferred from CAST to the B6 background. The congenic mice have a significantly higher bone density than the B6 mice. In this study we performed cDNA microarray analysis to evaluate the gene expression profile that might yield insights into the mechanisms controlling the high bone density by this QTL. This study led to several interesting observations. First, approximately 60% of 8,734 gene accessions on GEM I chips were expressed in the femur of B6 mice. The expression and function of two-thirds of these expressed genes and ESTs have not been documented previously. Second, expression levels of genes related to bone formation were lower in congenic than in B6 mice. These data are consistent with a low bone formation in the congenic mice, a possibility that is confirmed by reduced skeletal alkaline phosphatase activity in serum compared with B6 mice. Third, expression levels of genes that might have negative regulatory action on bone resorption were higher in congenic than in B6 mice. Together these findings suggest that the congenic mice might have a lower bone turnover rate than B6 mice and raise the possibility that the high bone density in the congenic mice could be due to reduced bone resorption rather than increased bone formation.

Animals↗
PubMed2006

Evidence for an instructive mechanism of de novo methylation in cancer cells.

DNA methylation has a role in the regulation of gene expression during normal mammalian development but can also mediate epigenetic silencing of CpG island genes in cancer and other diseases. Many individual genes (including tumor suppressors) have been shown to undergo de novo methylation in specific tumor types, but the biological logic inherent in this process is not understood. To decipher this mechanism, we have adopted a new approach for detecting CpG island DNA methylation that can be used together with microarray technology. Genome-wide analysis by this technique demonstrated that tumor-specific methylated genes belong to distinct functional categories, have common sequence motifs in their promoters and are found in clusters on chromosomes. In addition, many are already repressed in normal cells. These results are consistent with the hypothesis that cancer-related de novo methylation may come about through an instructive mechanism.

Animals↗
PubMed2005

Candidate genes in breast cancer revealed by microarray-based comparative genomic hybridization of archived tissue.

Genomic imbalances in 31 formalin-fixed and paraffin-embedded primary tumors of advanced breast cancer were analyzed by microarray-based comparative genomic hybridization (matrix-CGH). A DNA chip was designed comprising 422 mapped genomic sequences including 47 proto-oncogenes, 15 tumor suppressor genes, as well as frequently imbalanced chromosomal regions. Analysis of the data was challenging due to the impaired quality of DNA prepared from paraffin-embedded samples. Nevertheless, using a method for the statistical evaluation of the balanced state for each individual experiment, we were able to reveal imbalances with high significance, which were in good concordance with previous data collected by chromosomal CGH from the same patients. Owing to the improved resolution of matrix-CGH, genomic imbalances could be narrowed down to the level of individual bacterial artificial chromosome and P1-derived artificial chromosome clones. On average 37 gains and 13 losses per tumor cell genome were scored. Gains in more than 30% of the cases were found on 1p, 1q, 6p, 7p, 8q, 9q, 11q, 12q, 17p, 17q, 20q, and 22q, and losses on 6q, 9p, 11q, and 17p. Of the 51 chromosomal regions found amplified by matrix-CGH, only 12 had been identified by chromosomal CGH. Within these 51 amplicons, genome database information defined 112 candidate genes, 44 of which were validated by either PCR amplification of sequence tag sites or DNA sequence analysis.

Breast Neoplasms↗
PubMed2005

Development of a DNA-labeling system for array-based comparative genomic hybridization.

Chromosomal amplifications and deletions are critical components of tumorigenesis and DNA copy-number variations also correlate with changes in mRNA expression levels. Genome-wide microarray comparative genomic hybridization (CGH) has become an important method for detecting and mapping chromosomal changes in tumors. Thus, the ability to detect twofold differences in fluorescent intensity between samples on microarrays depends on the generation of high-quality labeled probes. To enhance array-based CGH analysis, a random prime genomic DNA labeling method optimized for improved sensitivity, signal-to-noise ratios, and reproducibility has been developed. The labeling system comprises formulated random primers, nucleotide mixtures, and notably a high concentration of the double mutant exo-large fragment of DNA polymerase I (exo-Klenow). Microarray analyses indicate that the genomic DNA-labeled templates yield hybridization signals with higher fluorescent intensities and greater signal-to-noise ratios and detect more positive features than the standard random prime and conventional nick translation methods. Also, templates generated by this system have detected twofold differences in gene copy number between male and female genomic DNA and identified amplification and deletions from the BT474 breast cancer cell line in microarray hybridizations. Moreover, alterations in gene copy number were routinely detected with 0.5 microg of genomic DNA starting sample. The method is flexible and performs efficiently with different fluorescently labeled nucleotides. Application of the optimized CGH labeling system may enhance the resolution and sensitivity of array-based CGH analysis in cancer and medical genetic studies.

Cell Line, Tumor↗
PubMed2006

WebaCGH: an interactive online tool for the analysis and display of array comparative genomic hybridisation data.

UNLABELLED: Gene copy number variations occur both in normal cells and in numerous pathologies including cancer and developmental diseases. Array comparative genomic hybridisation (aCGH) is an emerging technology that allows detection of chromosomal gains and losses in a high-resolution format. When aCGH is performed on cDNA and oligonucleotide microarrays, the impact of DNA copy number on gene transcription profiles may be directly compared. We have created an online software tool, WebaCGH, that functions to (i) upload aCGH and gene transcription results from multiple experiments; (ii) identify significant aberrant regions using a local Z-score threshold in user-selected chromosomal segments subjected to smoothing with moving averages; and (iii) display results in a graphical format with full genome and individual chromosome views. In the individual chromosome display, data can be zoomed in/out in both dimensions (i.e. ratio and physical location) and plotted features can have 'mouse over' linking to outside databases to identify loci of interest. Uploaded data can be stored indefinitely for subsequent retrieval and analysis. WebaCGH was created as a Java-based web application using the open-source database MySQL. AVAILABILITY: WebaCGH is freely accessible at http://129.43.22.27/WebaCGH/welcome.htm CONTACT: Xiaolin Wu (forestwu@mail.nih.gov) or Ulises Urzúa (uurzua@med.uchile.cl).

Animals↗
PubMed2005

Genome analysis and gene expression profiling of neuroblastoma and ganglioneuroblastoma reveal differences between neuroblastic and Schwannian stromal cells.

Neuroblastic tumours are a group of paediatric cancers with marked morphological heterogeneity. Neuroblastoma (Schwannian stroma-poor) (NB-SP) is composed of undifferentiated neuroblasts. Ganglioneuroblastoma intermixed (Schwannian stroma-rich) (GNBi-SR) is predominantly composed of Schwannian stromal (SS) and neuroblastic (Nb) cells. There are contrasting reports suggesting that SS cells are non-neoplastic. In the present study, laser capture microdissection (LCM) was employed to isolate SS and Nb cells. Chromosome 1p36 deletion and MYCN gene amplification were found to be associated in two out of seven NB-SPs, whereas no abnormalities were observed in five GNBi-SRs. In some cases, loss of heterozygosity (LOH) at 1p36 loci was detected in Nb cells but not in the bulk tumour by LCM; furthermore, LOH was also identified in both SS and tumour tissue of a GNBi-SR. DNA gain and loss studied by comparative genomic hybridization were observed at several chromosome regions in NB-SP but in few regions of GNBi-SR. Finally, gene expression profiles studied using an oligo-microarray technique displayed two distinct signatures: in the first, 32 genes were expressed in NB-SP and in the second, 14 genes were expressed in GNBi-SR. The results show that NB-SP is composed of different morphologically indistinguishable malignant cell clones harbouring cryptic mutations that are detectable only after LCM. The degree of DNA imbalance is higher in NB-SP than in GNBi-SR. However, when the analysis of chromosome 1p36 is performed at the level of microdissection, LOH is also observed in SS cells. These data provide supportive evidence that SS cells have a less aggressive phenotype and play a role in tumour maturation.

Chromosomes, Human, Pair 1↗
PubMed2005

Analysis of genomic DNA alterations and mRNA expression patterns in a panel of human pancreatic cancer cell lines.

Genomic alterations influencing the expression and/or activity of tumor suppressors or oncogenes such as KRAS2, CDKN2A, TP53, and DPC4 have been directly implicated in the initiation and progression of human pancreatic adenocarcinoma. In an effort further to systematically characterize the genomic alterations that occur in this disease, we conducted a genome wide analysis of alterations in gene copy number using array-based comparative genomic hybridization (CGH). For this analysis, we utilized a panel of 25 human pancreatic cancer cell lines derived from either primary or metastatic tumors. This panel also included a metastatic progression series of cell lines derived from COLO 357 cells. Array CGH permitted the identification of alterations in the copy number of genes that might participate in the aberrant behavior of pancreatic cancer cells. In addition, the acquisition of invasive and metastatic potential by derivatives of COLO 357 cells was accompanied by additional focal genomic alterations including point mutations and amplification of KRAS2. To complement the array CGH analysis, we also conducted an analysis of mRNA expression patterns in a subset of these cells using cDNA microarrays. By this means, we identified a set of candidate genes, including those regulated by RAS signaling, that may contribute to the process of cancer cell invasion and metastasis. Supplementary material for this article can be found on the Genes, Chromosomes, and Cancer website at http://www.interscience.wiley.com/jpages/1045-2257/suppmat/index.html.

Cell Line, Tumor↗
PubMed2005

[Molecular genetics in the diagnosis of bone and soft tissue tumours].

INTRODUCTION: Bone and soft tissue tumours are relatively rare; they make up about 1% of all new cancer cases, but around 10% among children and adolescents. MATERIAL AND METHODS: This review paper is based on searches in Medline and our own experience. RESULTS AND INTERPRETATION: There are a number of subgroups that require considerable experience. At the slightest suspicion of malignancy, no biopsy should be performed locally; the patient should be referred to a hospital with experience with this tumour type. Specific chromosomal aberrations have been described in several benign and malignant tumours; sarcomas may be divided into two subgroups based on cytogenetics, one with near-diploid karyotype and few chromosomal changes, but with specific translocations and one with complex karyotypes and multiple cytogenetic aberrations. Sarcomas should be karyotyped in order to identify chromosomal changes in general, whereas fluorescent in situ hybridisation and PCR are the most common methods for detecting the relevant, specific translocations. Genomic screening techniques, in particular microarray-based, global analyses of gene activities and copy numbers, will lead to smaller sets of informative gene assays that may be used in routine analysis. Gastrointestinal stromal tumour (GIST) is a tumour in the gastrointestinal tract where immunohistochemical analysis of the c-kit receptor and molecular diagnosis of mutations in the corresponding gene is important, as targeted therapy towards mutated versions of this receptor is available.

Adolescent↗