2004
DOI: 10.1593/neo.3439
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High-Resolution Analysis of Gene Copy Number Alterations in Human Prostate Cancer Using CGH on cDNA Microarrays: Impact of Copy Number on Gene Expression

Abstract: Identification of target genes for genetic rearrangements in prostate cancer and the impact of copy number changes on gene expression are currently not well understood. Here, we applied high-resolution comparative genomic hybridization (CGH) on cDNA microarrays for analysis of prostate cancer cell lines. CGH microarrays identified most of the alterations detected by classic chromosomal CGH, as well as a number of previously unreported alterations. Specific recurrent regions of gain (28) and loss (18) were foun… Show more

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Cited by 63 publications
(62 citation statements)
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“…As only very little is known about the function of this gene, it is not possible to speculate on the basis of this phenomenon. Overall, our findings are in good agreement with previous studies that have implicated gene copy number alterations as significant determinants of gene expression patterns (Hyman et al, 2002;Pollack et al, 2002;Wolf et al, 2004;Fridlyand et al, 2006). However, it has to be noted that the tumour group with moderate amplification showed expression levels similar to those seen in the non-amplified tumours, indicating that low level copy number increases at this region did not have a significant effect on gene expression levels.…”
Section: Discussionsupporting
confidence: 93%
“…As only very little is known about the function of this gene, it is not possible to speculate on the basis of this phenomenon. Overall, our findings are in good agreement with previous studies that have implicated gene copy number alterations as significant determinants of gene expression patterns (Hyman et al, 2002;Pollack et al, 2002;Wolf et al, 2004;Fridlyand et al, 2006). However, it has to be noted that the tumour group with moderate amplification showed expression levels similar to those seen in the non-amplified tumours, indicating that low level copy number increases at this region did not have a significant effect on gene expression levels.…”
Section: Discussionsupporting
confidence: 93%
“…These cell lines have been previously proWled using Spectral Karyotyping (SKY), G-banding, megabase-interval resolution array CGH as well as cDNA array CGH (Clark et al 2003;Wolf et al 2004;Zhao et al 2005). In this study, we not only detected the previously identiWed structural chromosomal alterations and mapped the boundaries of the deletions and duplications, but discovered novel regions of genomic rearrangement that have eluded detection in previous studies (Supplemental Table 1).…”
Section: Prostate Cancer Cell Genomesmentioning
confidence: 87%
“…We examined the genomes of three cell lines commonly used in the study of prostate cancer in order to evaluate the frequency of such an association. As the LNCaP, PC3, and DU145 prostate cell line karyotypes have been well characterized cytogenetically, they were chosen to demonstrate this methodology (Beheshti et al 2000(Beheshti et al , 2001(Beheshti et al , 2002Clark et al 2003;Hu et al 2004;Lim et al 2004;StreVord et al 2001;Wolf et al 2004;Zhao et al 2005). We Wnd that there is a high correlation of CNA associated with boundaries of "balanced" translocation events and demonstrate that a combined cytogenetic and tiling path array CGH approach is an eVective method for precise localization of translocation breakpoints on a genome-wide basis.…”
Section: Introductionmentioning
confidence: 98%
“…With CGH, consistent gains and losses can be identified in prostate tumors and cancer lines, at a 10Y20 Mbp resolution (James 1999, Gray & Collins 2000. Currently, array-based comparative genomic hybridization (aCGH), using cDNA (Pollack et al 1999, Fritz et al 2002, Clark et al 2003, Wolf et al 2004, oligonucleotides (Bignell et al 2004) or ordered bacterial artificial chromosome (BAC) arrays spanning the entire human genome are being used to study genomic alterations (Snijders et al 2001, Clark et al 2003, Lapuk et al 2004. Unlike cDNA or oligonucleotide arrays, the genomewide BAC array CGH (BAC aCGH) approaches provide gain/loss information on both gene-rich regions and regions that are not well studied with regard to transcriptionally active genes (gene deserts) (Mantripragada et al 2004).…”
Section: Introductionmentioning
confidence: 99%