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PubMed2005

Copy number gains on 22q13 in adenoid cystic carcinoma of the salivary gland revealed by comparative genomic hybridization and tissue microarray analysis.

Adenoid cystic carcinoma (ACC) of the salivary gland is a neoplasm characterized by slow but inevitable local progression and terminal hematogenous metastasis. To detect novel imbalanced chromosomal regions associated with tumorigenesis, we used chromosomal comparative genomic hybridization to screen 27 ACC. The most common aberration was copy number gain of 22q13 (nine cases) followed by gains of 16p (seven cases) and 17q (four cases) and copy number losses on 6q (six cases). To further delineate the prevalence of 22q13 copy number gains in ACC, fluorescence in situ hybridization was performed for five bacterial/phage artificial chromosome (BAC/PAC) probes from the 22q13 consensus region with 57 ACC on a tissue microarray. The overall prevalence of copy number gains on 22q13 was 30% of the tumors in the fluorescence in situ hybridization analysis, irrespective of histologic differentiation (cribriform/tubular vs. solid) or tumor event (primary vs. recurrent). We therefore assume that copy number gain of 22q13 is a novel frequent finding in ACC that may be involved in the initial pathogenesis of this neoplasm by proto-oncogene activation.

Adult↗
PubMed2006

Molecular cytogenetic studies of Xq critical regions in premature ovarian failure patients.

BACKGROUND: Premature ovarian failure (POF) is defined as amenorrhoea for more than 6 months, occurring before the age of 40, with an FSH serum level higher than 40 mIU/ml. Cytogenetically visible rearrangements of the X chromosome are associated with POF. Our hypothesis was that cryptic Xq chromosomal rearrangements could be an important etiological contributor of POF. METHODS: Ninety POF women were recruited and compared to 20 control women. Peripheral blood samples were collected and metaphase chromosomes were prepared using standard cytogenetic methods. To detect Xq chromosomal micro-rearrangements, fluorescence in situ hybridization (FISH) analysis was performed using a selection of 30 bacterial artificial chromosome (BAC) and P1 artificial chromosome clones, spanning Xq13-q27. We further localized the translocation breakpoints by FISH with additional BAC clones. RESULTS: Chromosomal abnormalities were identified in 8.8% of our 90 patients [one triple X, three large Xq deletions 46,X,del(X)(q22.3), 46,X,del(X)(q21.2) and 46,X,del(X)(q21.32), two balanced X;autosome translocations 46,X,t(X;1) (q21.1;q32) and 46,X,t(X;9)(q21.31;q21.2) and two Robertsonian translocations 45,XX,der(15;22)(q10;q10) and 45,XX,der(14;21)(q10;q10)]. The two Xq translocation breakpoints were among a cluster of repetitive elements without any known genes. FISH analysis did not reveal any Xq chromosomal micro-rearrangement. CONCLUSIONS: Karyotyping is definitely helpful in the evaluation of POF patients. No submicroscopic chromosomal rearrangements affecting Xq region were identified. Further analysis using DNA microarrays should help delineate Xq regions involved in POF.

Adult↗
PubMed2005

A statistical approach for array CGH data analysis.

BACKGROUND: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences immobilized on a slide. These probes are genomic DNA sequences (BACs) that are mapped on the genome. The signal has a spatial coherence that can be handled by specific statistical tools. Segmentation methods seem to be a natural framework for this purpose. A CGH profile can be viewed as a succession of segments that represent homogeneous regions in the genome whose BACs share the same relative copy number on average. We model a CGH profile by a random Gaussian process whose distribution parameters are affected by abrupt changes at unknown coordinates. Two major problems arise: to determine which parameters are affected by the abrupt changes (the mean and the variance, or the mean only), and the selection of the number of segments in the profile. RESULTS: We demonstrate that existing methods for estimating the number of segments are not well adapted in the case of array CGH data, and we propose an adaptive criterion that detects previously mapped chromosomal aberrations. The performances of this method are discussed based on simulations and publicly available data sets. Then we discuss the choice of modeling for array CGH data and show that the model with a homogeneous variance is adapted to this context. CONCLUSIONS: Array CGH data analysis is an emerging field that needs appropriate statistical tools. Process segmentation and model selection provide a theoretical framework that allows precise biological interpretations. Adaptive methods for model selection give promising results concerning the estimation of the number of altered regions on the genome.

Algorithms↗
PubMed2006

Array comparative genomic hybridization analysis in first-trimester spontaneous abortions with 'normal' karyotypes.

Array comparative genomic hybridization (array CGH) analysis was conducted in chorionic villous samples from 20 first-trimester spontaneous abortions with G-banding normal chromosomes. A microarray, containing 2,173 BAC clones and covering the whole genome with a 1.5-Mb resolution, was constructed and used in the analysis. Two deletions were identified: a 1.4-Mb deletion at 3p26.2-p26.3 and a 13.7-Mb deletion at 13q32.3-qter. Reexamination of chromosome preparations from the sample with the 13.7-Mb deletion documented a mixture of cells with the 13q- chromosome and those with 46,XX chromosomes, the latter of which are likely to have been derived from contaminating decidual cells. This left the 1.4-Mb 3p deletion as the only instance with submicroscopic imbalance detected, giving a frequency of 1 in 19 (5%) G-banding normal abortions.

Abortion, Spontaneous↗
PubMedDate not supplied

[Global analysis strategies. Toward the genetic management of neoplasias].

Biomedical research in oncological diseases, particularly focused on the study and understanding of the molecular mechanisms involved in cellular transformation, is opening new possibilities for the development of new and more efficient strategies for diagnosis and treatment. The generation and practical application of the results derived from molecular genetic studies in cancer, has evolved in parallel with the development of technological tools that allow us to get a global vision of diverse cellular processes, both in the normal and pathological states. This combination of basic research and technological application, has created methodologies that allow us to analyze the three principal levels of Molecular Genetics, the Genome (DNA, archive of the genetic information), the Transcriptome (RNA, expression of the genetic information), and finally, the Proteome (proteins, functional aspect of the genetic information). The vast amount of information obtained due to these advancements has begun to modify our fundamental vision about oncological diseases, and together with the traditional analytic tools, they hold the promise of changing the ways we classify, detect, diagnose and treat cancer. In this review, we present some of this methods for global genetic analysis, involving the three levels of genetic organization: the genome, with the Human Genome Project, comparative genomic hybridization and chromosome painting; the Transcriptome, with Serial analysis of Gene Expression and DNA microarrays; and the proteome, with bidimensional protein electrophoresis and antibody-microarrays. In each case, together with a brief description of the method, we also present the impact of every one of them on the study and management of neoplastic diseases.

Chromosome Painting↗
PubMed2003

Haploinsufficiency and reduced expression of genes localized to the 8p chromosomal region in human prostate tumors.

Cytogenetic and molecular studies have suggested that deletion or rearrangement of sequences that map to the short arm of chromosome 8 may be permissive for tumorigenesis in several organ systems, and in human prostate tumors in particular. In this study, we hypothesized that genes deleted for one copy and localized to the 8p chromosomal region may be transcriptionally down-regulated or ablated in affected human prostate tumor tissues. To test this hypothesis, we used cDNA microarray analysis to determine the transcriptional profiles for 259 transcribed sequences mapping to the 8p chromosomal region for seven human prostate tumor xenografts, completely characterized for numerical and structural alterations on chromosome 8, and five normal human prostate tissues. These experiments identified 33 genes differentially expressed between normal and malignant prostate tissues, the majority of which (28/33, 85%) were transcriptionally down-regulated in malignant compared to normal human prostate tissues. These findings, that haploinsufficiency and transcriptional down-regulation for genes mapping to 8p are largely coincident in human prostate tumors, should provide a powerful tool for the identification of tumor-suppressor genes associated with human prostate cancer initiation and progression.

Alleles↗
PubMed2005

Array-based comparative genomic hybridization analysis of recurrent chromosome 15q rearrangements.

Genomic rearrangements of chromosome 15q11-q13 cause diverse phenotypes including autism, Prader-Willi syndrome (PWS), and Angelman syndrome (AS). This region is subject to genomic imprinting and characterized by complex combinations of low copy repeat elements. Prader-Willi and Angelman syndrome are caused primarily by 15q11-13 deletions of paternal and maternal origin, respectively. Autism is seen with maternal, but not paternal, interstitial duplications. Isodicentric 15q, most often of maternal origin, is associated with a complex phenotype often including autistic features. Limitations of conventional cytogenetic tests preclude a detailed analysis in most patients with 15q rearrangements. We have developed a microarray for comparative genomic hybridization utilizing 106 genomic clones from chromosome 15q to characterize this region. The array accurately localized all breakpoints associated with gains or losses on 15q. The results confirmed the location of the common breakpoints associated with interstitial deletions and duplications. The majority of idic(15q) chromosomes are comprised of symmetrical arms with four copies of the breakpoint 1 to breakpoint 5 region. Patients with less common breakpoints that are not distinguished by routine cytogenetic methods were more accurately characterized by array analysis. This microarray provides a detailed characterization for chromosomal abnormalities involving 15q11-q14 and is useful for more precise genotype-phenotype correlations for autism, PWS, AS, and idic(15) syndrome.

Chromosome Aberrations↗
PubMed2005

Fractional genomic alteration detected by array-based comparative genomic hybridization independently predicts survival after hepatic resection for metastatic colorectal cancer.

PURPOSE: Although liver resection is the primary curative therapy for patients with colorectal hepatic metastases, most patients have a recurrence. Identification of molecular markers that predict patients at highest risk for recurrence may help to target further therapy. EXPERIMENTAL DESIGN: Array-based comparative genomic hybridization was used to investigate the association of DNA copy number alterations with outcome in patients with colorectal liver metastasis resected with curative intent. DNA from 50 liver metastases was labeled and hybridized onto an array consisting of 2,463 bacterial artificial chromosome clones covering the entire genome. The total fraction of genome altered (FGA) in the metastases and the patient's clinical risk score (CRS) were calculated to identify independent prognostic factors for survival. RESULTS: An average of 30 +/- 14% of the genome was altered in the liver metastases (14% gained and 16% lost). As expected, a lower CRS was an independent predictor of overall survival (P = 0.03). In addition, a high FGA also was an independent predictor of survival (P = 0.01). The median survival time in patients with a low CRS (score 0-2) and a high (> or =20%) FGA was 38 months compared with 18 months in patients with a low CRS and a low FGA. Supervised analyses, using Prediction Analysis of Microarrays and Significance Analysis of Microarrays, identified a set of clones, predominantly located on chromosomes 7 and 20, which best predicted survival. CONCLUSIONS: Both FGA and CRS are independent predictors of survival in patients with resected hepatic colorectal cancer metastases. The greater the FGA, the more likely the patient is to survive.

Aged↗
PubMed2002

High-throughput copy number analysis of 17q23 in 3520 tissue specimens by fluorescence in situ hybridization to tissue microarrays.

The chromosomal region 17q23 has been shown to be commonly amplified in breast tumors, especially those with poor prognosis. In addition to breast cancer, studies by comparative genomic hybridization have implicated the involvement of 17q23 in other tumor types as well. Here we performed a large-scale survey on the distribution and frequency of the 17q23 copy number increases across different tumor types using fluorescence in situ hybridization on tissue microarrays containing 4788 specimens. A total of 4429 tumor samples representing 166 different tumor categories and 359 normal tissue samples from 40 different tissue categories were analyzed. Successful hybridizations were observed in 3520 of the 4788 specimens (74%). Increased 17q23 copy number was detected in 15% of the evaluable specimens with tumors originating from the lung, mammary gland, and soft tissue being most frequently affected. Interestingly, high-level amplification was detected only in 2% of the tumors and was generally restricted to mammary tumors. In addition, we observed an association between the frequency of increased 17q23 copy number and tumor progression in various tumor types. These results indicate that increased 17q23 copy number occurs frequently in several different tumor types suggesting that increased dosage of genes in this region might play a role in development and progression of many tumor types.

Gene Amplification↗
PubMed2005

Unraveling the chromosomal aberrations of head and neck squamous cell carcinoma: a review.

Information from the genetic analysis of head and neck cancer has grown enormously in the last 20 years. The advent of high-resolution genetic analysis techniques such as microarray technology will further expand this field in the future. Here we review the data on chromosomal aberrations of head and neck squamous cell carcinoma, focusing on the data generated by comparative genomic hybridization analysis, and suggest how such findings will be taken forward over the next decade. With the search engine PUBMED, the key words "comparative genomic hybridisation," "head and neck," "oral," "hypopharyngeal," "laryngeal," and "squamous cell carcinoma" were used. Publications unavailable in English were excluded.

Carcinoma, Squamous Cell↗
PubMed2000

High-throughput tissue microarray analysis of cyclin E gene amplification and overexpression in urinary bladder cancer.

Studies by comparative genomic hybridization revealed that the 19q13 chromosomal region is frequently amplified in bladder cancer. The cyclin E gene (CCNE), coding for a regulatory subunit of cyclin-dependent kinase 2, has been mapped to 19q13. To investigate the role of cyclin E alterations in bladder cancer, a tissue microarray of 2,317 specimens from 1,842 bladder cancer patients was constructed and analyzed for CCNE amplification by fluorescence in situ hybridization and for cyclin-E protein overexpression by immunohistochemistry. Fluorescence in situ hybridization analysis showed amplification in only 30 of the 1,561 evaluable tumors (1.9%). Amplification was significantly associated with stage and grade (P: < 0.0005 each). Immunohistochemically detectable cyclin E expression was strong in 233 (12.4%), weak in 354 (18.9%), and negative in 1, 286 of the 1,873 interpretable tumors. The majority (62.1%) of CCNE-amplified tumors were strongly immunohistochemistry-positive (P: < 0.0001). The frequency of protein expression increased from stage pTa (22.2%) to pT1 (45.5%; P: < 0.0001) but then decreased for stage pT2-4 (29.4%; P: < 0.0001 for pT1 versus pT2-4). Low cyclin E expression was associated with poor overall survival in all patients (P: < 0.0001), but had no prognostic impact independent of stage. It is concluded that cyclin E overexpression is characteristic to a subset of bladder carcinomas, especially at the stage of early invasion. This analysis of the prognostic impact of CCNE gene amplification and protein expression in >1,500 arrayed bladder cancers was accomplished in a period of 2 weeks, illustrating how the tissue microarray technology remarkably facilitates the evaluation of the clinical relevance of molecular alterations in cancer.

Adult↗
PubMed2004

Radiation-induced chromosomal instability and gene expression profiling: searching for clues to initiation and perpetuation.

Radiation-induced genomic instability (RIGI) manifests in the progeny of cells surviving ionizing radiation (IR), and can be measured using such endpoints as delayed mutation, micronuclei formation, and chromosomal instability. The frequency of RIGI is relatively high, exceeding the gene mutation rate of IR by orders of magnitude, leading to conjecture that a gene mutation is not the cause of the phenotype. We have started to explore whether differential gene expression patterns are associated with the instability phenotype, in order to shed light on its initiation and perpetuation. Using GM10115 human-hamster hybrid-derived chromosomally stable and radiation-induced unstable clones, gene expression patterns were analyzed using microarray analysis. Two methods were used to find differentially expressed genes, and all candidate genes identified by these methods were under-expressed relative to the chromosomally stable reference sample. Among this set differentially expressed genes identified were two candidates with a relationship to the ubiquitin/proteasome pathway. While follow-up gene expression analyses have confirmed the under-expression of these two genes in some of our chromosomally unstable clones, preliminary functional studies have been unable to demonstrate a link to instability. It is anticipated that as we apply this technology to the study of radiation-induced genomic instability, clues to its onset will be revealed, ultimately contributing to a greater understanding of the mechanisms of radiation carcinogenesis.

Animals↗
PubMed2004

Gene expression profiling of renal medullary carcinoma: potential clinical relevance.

BACKGROUND: Renal medullary carcinoma is a rare kidney tumor with highly aggressive behavior. This tumor occurs exclusively in young patients with sickle cell trait or disease. To the authors' knowledge, very little is known to date regarding the underlying molecular genetics of this tumor, and no effective therapy has been established. METHODS: The authors analyzed the gene expression profiles of 2 renal medullary carcinomas from patients with sickle cell trait using microarrays containing 21,632 cyclic DNA (cDNA) clones and compared them with the gene expression profiles of 64 renal tumors. RESULTS: Based on global gene clustering with 3583 selected cDNAs, the authors found a distinct molecular signature of renal medullary carcinoma, which clustered closely with urothelial (transitional cell) carcinoma of the renal pelvis, rather than renal cell carcinoma (RCC). This finding of a significant difference in the gene expression patterns of renal medullary carcinoma compared with RCC suggests that this tumor should not be treated as a conventional RCC but, rather, as a special malignancy. This study also identified genes/proteins that may serve as biomarkers for renal medullary carcinoma or as potential targets of novel therapies. In addition, comparative genomic microarray analysis allowed the authors to predict the lack of chromosomal imbalances in this tumor. CONCLUSIONS: To the authors' knowledge, the current study is the first molecular profiling of renal medullary carcinoma, a rare but highly aggressive kidney carcinoma. The genes that are expressed specifically in this tumor may lead to not only a better understanding of its molecular pathways and discoveries of novel diagnostic markers but also, more important, to effective therapeutic interventions.

Adult↗
PubMed2005

Overexpression of aurora B kinase (AURKB) in primary non-small cell lung carcinoma is frequent, generally driven from one allele, and correlates with the level of genetic instability.

Aurora kinases are key regulators of chromosome segregation during mitosis. We have previously shown by microarray analysis of primary lung carcinomas and matched normal tissue that AURKB (22 out of 37) and AURKA (15 out of 37) transcripts are frequently over-represented in these tumours. We now confirm these observations in a second series of 44 carcinomas and also show that aurora B kinase protein levels are raised in the tumours compared to normal tissue. Elevated levels of expression in tumours are not a consequence of high-level amplification of the AURKB gene. Using a coding sequence polymorphism we show that in most cases (seven out of nine) tumour expression is predominantly driven from one AURKB allele. Given the function of aurora B kinase, we examined whether there was an association between expression levels and genetic instability. We defined two groups of high and low AURKB expression. Using a panel of 10 microsatellite markers, we found that the group showing the higher level of expression had a higher frequency of allelic imbalance (P=0.0012). Analysis of a number of other genes that are strongly and specifically expressed in tumour over normal lung, including SERPINB5, TERT and PRAME, showed marked allelic expression imbalances in the tumour tissue in the context of balanced or only marginally imbalanced relative allelic copy numbers. Our data support a model of early carcinogenesis wherein defects in the process of inactivation of lung stem-cell associated genes during differentiation, contributes to the development of carcinogenesis.

Allelic Imbalance↗
PubMed2006

Detecting sex chromosome anomalies and common triploidies in products of conception by array-based comparative genomic hybridization.

OBJECTIVES: In recent years, array-based comparative genomic hybridization (array CGH) has moved to the forefront of molecular cytogenetics with its ability to rapidly characterize chromosome abnormalities at resolutions much higher than routine chromosome banding. However, array CGH, like all CGH procedures, has heretofore been deemed unable to detect ploidy, a major cause of fetal demise and spontaneous miscarriage. METHOD: We recently developed a CGH microarray that is designed for detecting aneuploidy and unbalanced chromosome rearrangements. Here, we introduce the use of a Klinefelter male cell line (47,XXY) as a control for array CGH analyses on products of conception (POCs). RESULTS: This approach facilitates the detection of common trisomies and monosomies of the sex chromosomes by reducing the analysis to the identification of single copy gains or losses. Furthermore, in a blinded study, careful interpretation of the microarray results with particular attention to the sex chromosome ratios between the patient sample and the control allowed for the detection of some common triploidies. CONCLUSION: These results suggest that using a chromosomally abnormal cell line in array CGH analysis can be applied to other CGH platforms and that array CGH, when properly performed and analyzed, is a powerful tool that can detect most chromosomal abnormalities observed in a clinical setting including some polyploidies.

Aneuploidy↗
PubMed2005

A statistical method to detect chromosomal regions with DNA copy number alterations using SNP-array-based CGH data.

Single nucleotide polymorphism (SNP) arrays were used to detect chromosomal regions with DNA copy number alterations. Current statistical methods for microarray-based comparative genomic hybridization (array-CGH) analysis generally assume certain relationships among adjacent markers on the same chromosome, and these assumptions may be questionable. For an SNP-array-based CGH study, multiple normal reference SNP arrays were collected. In order to utilize these normal reference SNP arrays, we derived an empirical distribution of signal ratios for each SNP marker. With an assumed threshold value for the overall error rate control and the defined signal ratio ranges for chromosomal amplification and deletion, we proposed a procedure to identify chromosomal alteration regions based on several bootstrapped one-sample t-tests and the false discovery rate control. When we have multiple arrays for different individuals with the same disease, our method can also be used to detect SNP markers for chromosomal alteration regions that are common among these individuals. We applied our method to a published SNP array data set for breast carcinoma cell lines. For an individual with breast cancer, numerous chromosomal alteration regions were identified. Compared to results of previous studies, our method identified more chromosomal alteration regions, with some being implicated in the literature to harbor genes associated with breast cancer. For multiple cancer arrays, our results suggested the existence of common chromosomal alteration regions. However, a high proportion of false positives also indicated that genetic variations among different individuals with breast cancer can be present.

Breast Neoplasms↗
PubMed2005

WebArray: an online platform for microarray data analysis.

BACKGROUND: Many cutting-edge microarray analysis tools and algorithms, including commonly used limma and affy packages in Bioconductor, need sophisticated knowledge of mathematics, statistics and computer skills for implementation. Commercially available software can provide a user-friendly interface at considerable cost. To facilitate the use of these tools for microarray data analysis on an open platform we developed an online microarray data analysis platform, WebArray, for bench biologists to utilize these tools to explore data from single/dual color microarray experiments. RESULTS: The currently implemented functions were based on limma and affy package from Bioconductor, the spacings LOESS histogram (SPLOSH) method, PCA-assisted normalization method and genome mapping method. WebArray incorporates these packages and provides a user-friendly interface for accessing a wide range of key functions of limma and others, such as spot quality weight, background correction, graphical plotting, normalization, linear modeling, empirical bayes statistical analysis, false discovery rate (FDR) estimation, chromosomal mapping for genome comparison. CONCLUSION: WebArray offers a convenient platform for bench biologists to access several cutting-edge microarray data analysis tools. The website is freely available at http://bioinformatics.skcc.org/webarray/. It runs on a Linux server with Apache and MySQL.

Algorithms↗
PubMed2005

Association between large-scale genomic homozygosity without chromosomal loss and nonseminomatous germ cell tumor development.

The genotype of a tumor determines its biology and clinical behavior. The genetic alterations associated with the unique embryonal morphology of nonseminomatous subtypes of testicular germ cell tumors remain to be established. Using single nucleotide polymorphism microarray analysis, we found in all of the 15 nonseminomas analyzed, large-scale chromosomal homozygosities, most of which were not associated with relative chromosome loss. This unusual genotype, distinguishing nonseminoma from seminomas and other human tumors, may be associated with the special embryonal development morphologic transition of this malignancy. Based on these genetic data, we hypothesized a new potential origin of nonseminomas through sperm fusion. Nonrandom involvement of certain chromosomes also suggests that genes on these chromosome regions may play an important role in nonseminoma development.

Chromosome Deletion↗