Osteosarcoma Copy Number Analysis
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE12830 | GEO | 2009/09/08
SECONDARY ACCESSION(S): PRJNA114179
REPOSITORIES: GEO
Similar Datasets
Project description:Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes.This a-CGH is a part of an expriment whose aim was to identify, genomic imbalance, DNA methylation and gene expression profiles of osteosarcoma cell lines. Keywords: comparative genomic hybridization
2009-05-01 | GSE11411 | GEO
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
2007-11-21 | GSE9654 | GEO
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. Experiment Overall Design: 10 OS tumor samples were used; fluor-flip was performed with normal human DNA as control
2008-06-16 | E-GEOD-9654 | biostudies-arrayexpress
Project description:Background: Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes. With the improved resolution offered by array comparative genomic hybridization (array CGH) platforms, it is possible to readily detect cryptic microaberrations in genomic DNA. The identification of these microaberrations in genetic syndromes is currently the focus of many array CGH studies, but there have been no analyses to date documenting the occurrence of microaberrations in tumors. Results: In this study we utilized high-resolution oligonucleotide array CGH to identify novel microaberrations under ~750 kb in four OS-derived cell lines: U-2 OS, HOS, MG-63 and SAOS-2. Comparative analysis of these alterations showed that SAOS-2 harbored the most microaberrations at 17, followed by MG-63 with 11, HOS with 9 and U-2 OS with 6. SAOS-2, which has a TP53 mutation, exhibited the highest level of chromosomal instability in previous studies by our group; whereas U-2 OS, which has wild-type p53 status, exhibited the least instability. A consensus region of gain at 5p15.33 was detected in three of the four OS-derived cell lines (HOS, MG-63 and SAOS-2) by aCGH. Of these consensus gains, one was a microaberration of 500 kb in SAOS-2, and confirmed by fluorescence in situ hybridization analysis. It should be noted that this microaberration is immediately telomeric to the TERT gene, which also showed gain. TERT is correlated with increased tumor aggression, as well as decreased progression free survival in OS patients. Keywords: comparative genomic hybridization (array CGH)
2007-12-31 | GSE7077 | GEO
Project description:Osteosarcoma (OS) is the most common primary malignant tumor of bone; it occurs most commonly in the metaphyseal regions of long bones in adolescents and young adults. Conventional osteosarcoma is characterized by complex karyotypes with a high degree of aneuploidy and numerous structural aberrations such as copy number alterations (CNAs) and genomic rearrangements. We characterized the landscape of somatic copy number alterations (SCNAs) in a large cohort (n=160) of osteosarcoma (OS) samples using the whole-genome CytoScan High Density arrays. This experiment is an extension of E-MTAB-3998. It contains data for 97 samples that is also included in E-MTAB-3998. The samples derived from E-MTAB-3998 identified using the 'Description' field in the sample attributes.
2017-06-02 | E-MTAB-4815 | biostudies-arrayexpress
Project description:Osteosarcoma is a rare, highly malignant tumor of the bone that presents with a highly complex and abnormal karyotype. Only a few of the genes, which are targets of genetic alteration are known. An integrated genome-wide genomic and gene expression profiling analysis was performed on human osteosarcoma tissues and osteosarcoma cell lines in order to identify and map, in a high-resolution fashion, the most drastic chromosomal changes and point out genes which could contribute to tumorigenesis by having altered expression levels of critical oncogenes and tumor suppressors. Combined gene expression and aCGH analysis on the same samples enables direct comparison between DNA and mRNA level and offers a general strategy to identify and prioritize potential targets while the parallel analysis on cell lines offers a reliable models for further functional studies.
2016-01-01 | GSE12789 | GEO
Project description:Background: Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes. With the improved resolution offered by array comparative genomic hybridization (array CGH) platforms, it is possible to readily detect cryptic microaberrations in genomic DNA. The identification of these microaberrations in genetic syndromes is currently the focus of many array CGH studies, but there have been no analyses to date documenting the occurrence of microaberrations in tumors. Results: In this study we utilized high-resolution oligonucleotide array CGH to identify novel microaberrations under ~750 kb in four OS-derived cell lines: U-2 OS, HOS, MG-63 and SAOS-2. Comparative analysis of these alterations showed that SAOS-2 harbored the most microaberrations at 17, followed by MG-63 with 11, HOS with 9 and U-2 OS with 6. SAOS-2, which has a TP53 mutation, exhibited the highest level of chromosomal instability in previous studies by our group; whereas U-2 OS, which has wild-type p53 status, exhibited the least instability. A consensus region of gain at 5p15.33 was detected in three of the four OS-derived cell lines (HOS, MG-63 and SAOS-2) by aCGH. Of these consensus gains, one was a microaberration of 500 kb in SAOS-2, and confirmed by fluorescence in situ hybridization analysis. It should be noted that this microaberration is immediately telomeric to the TERT gene, which also showed gain. TERT is correlated with increased tumor aggression, as well as decreased progression free survival in OS patients. Experiment Overall Design: This genome-wide analysis is the first study to utilize oligonucleotide array CGH to identify microaberrations in OS, likely to contain genes involved in OS tumor oncogenesis. A better understanding of the underlying molecular genetic events leading to tumor initiation and progression could result in the identification of prognostic markers and therapeutic targets.
2008-06-18 | E-GEOD-7077 | biostudies-arrayexpress
Project description:Identification of DNA copy number imbalances in 22 spontaneous canine osteosarcoma cases using array comparative genomic hybridization (aCGH) analysis
2013-11-01 | E-MTAB-1986 | biostudies-arrayexpress
Project description:We performed copy number analysis of high-grade osteosarcoma samples. in order to detect osteosarcoma drivers, we integrated these data with genome-wide gene expression data. We performed two different methods - a non-paired and a paired integrative analysis.
2012-03-28 | GSE33153 | GEO
Project description:We performed copy number analysis of high-grade osteosarcoma samples. in order to detect osteosarcoma drivers, we integrated these data with genome-wide gene expression data. We performed two different methods - a non-paired and a paired integrative analysis. Copy number analysis was performed on 32 pre-treatment high-grade osteosarcoma diagnostic biopsies, of which 29 overlapped with the 84 samples used for gene expression analyses.
2012-03-27 | E-GEOD-33153 | biostudies-arrayexpress