Dataset Information

Cross-Platform Array Comparative Genomic Hybridization (array CGH) Meta-Analysis

ABSTRACT: A series of studies have been published that evaluate the chromosomal copy number changes of different tumor classes using array Comparative Genomic Hybridization (array CGH), however the chromosomal aberrations that distinguish the different tumor classes have not been fully characterized. Therefore, we performed a meta-analysis of different array CGH data sets in an attempt to classify samples tested across different platforms. As opposed to RNA expression a common reference is used in dual channel CGH arrays: normal human DNA, theoretically facilitating cross-platform analysis. To this aim, cell line and primary cancer data sets from three different dual channel array CGH platforms obtained by four different institutes were integrated. The cell line data were used to develop preprocessing methods which performed noise reduction and transformed samples into a common format. The transformed array CGH profiles allowed perfect clustering by cell line, but importantly not by platform or institute. The same preprocessing procedures used for the cell line data were applied to data from 373 primary tumors profiled by array CGH, including controls. Results indicated that there is no apparent feature related to the institute or platform and that array CGH allows for unambiguous cross-platform meta-analysis. Major clusters with common tissue origin were identified. Interestingly, tumors of hematopoietic and mesenchymal origins cluster separately from tumors of epithelial origin. Therefore it can be concluded that chromosomal aberrations of tumors from hematopoietic and mesenchymal origin versus tumors of epithelial origin are distinct, and these differences can be picked up by metaanalysis of array CGH data. This suggests the possibility of prospectively using combined analysis of diverse copy number datasets for cancer subtype classification. Keywords: comparative genomic hybridization, meta-analysis, cancer

ORGANISM(S): Homo sapiens

PROVIDER: GSE5051 | GEO | 2006/08/29

SECONDARY ACCESSION(S): PRJNA96691

REPOSITORIES: GEO

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Project description:Background: Osteosarcoma (OS) tumors and derived cell lines are characterized by complex chromosomal abnormalities. The availability of molecular genome profiling techniques such as array CGH have markedly enabled the high-resolution genome analysis of tumor genomes, as well as helped elucidate the mechanisms leading to their complexity. The identification of tumor-specific genomic profiles is currently the focus of many array CGH studies, but there have been no analyses to date documenting the genomic signatures consistent with chromosomal instability mechanisms in OS. Results: In this study we utilized high-resolution oligonucleotide array CGH to interrogate recurrent signatures of genomic imbalance in 10 OS tumors that were consistent with the breakage fusion bridge(BFB) mechanism. Comparative analysis of the tumors showed that they exhibited varying levels of genomic imbalance. The analysis also highlighted three chromosomal regions (6p21 ~ p22, 8q24 and 17p11.2 ~ p12) that were consistently involved in high level gain or amplification events. These three regions have been previously shown by us to be not only involved in high-level imbalance in OS-derived cell lines, but also to exhibit similar imbalance profiles consistent with BFB-related events. Karyotype and dual-color FISH analysis showed that repeated rearrangements of these unstable chromosomes through BFB cycles may create a heterogeneous pattern of copy number alterations. Conclusions: This genome-wide analysis is the first to utilize oligonucleotide array CGH and FISH analysis to derive possible genomic signatures of chromosomal instability in OS tumors. Perpetuation of the BFB cycle will create a heterogeneous pattern of copy number alterations by repeated rearrangement of the unstable tumor genome., thereby generating diverse phenotypes The resulting phenotypic diversity can generate tumors with a propensity for an aggressive disease course. A better understanding of the underlying mechanisms events leading to tumor development could result in the identification of prognostic markers and therapeutic targets. Keywords: osteosarcoma, chromosomal instability, gene amplification, breakage-fusion-bridge cycle, oligonucleotide array comparative genomic hybridization

Dataset Information

Cross-Platform Array Comparative Genomic Hybridization (array CGH) Meta-Analysis

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