GEO DataSets

(Submitter supplied) Copy number alteration (CNA) profiling of human tumors has revealed recurrent patterns of DNA amplifications and deletions. These patterns are indicative of conserved selection pressures, but cannot be fully explained by known oncogenes and tumor suppressor genes. Using integrative analysis of CNA data from patient tumors and experimental systems, we report that principal component analysis-defined CNA signatures are predictive of glycolytic phenotypes, including FDG-avidity of patient tumors, and increased proliferation. more...

Organism:

Mus musculus; Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platforms:

GPL4091 GPL10449

121 Samples

Download data: TXT

(Submitter supplied) Human Mammalian Epithelial Cells (HMEC) were exposed to different environmental stresses, including hypoxia, lactic acidosis, the combination of hypoxia and lactic acidosis, lactosis , as well as acidosis. We used microarrays to examine the genomic programs of cells incubated under different microenvironments. Keywords: different environmental stresses

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

30 Samples

Download data: CEL

(Submitter supplied) A survey of the somatic allelic imbalances and copy number alterations in HER2-amplified breast cancer.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platforms:

GPL8882 GPL13314

26 Samples

Download data: TXT

(Submitter supplied) Breast cancer is a heterogeneous disease with known tumor subtypes. In order to gain insight into the underlying etiologies of these disease subtypes, we first classified tumors according to gene expression intrinsic subtype, and second, identified subtype associated tumor genomic DNA copy number alterations (CNA) using a novel method called SWITCHdna. Most tumor subtypes showed specific CNA with Basal-like breast cancers being the most distinct and associated with loss of RB1, BRCA1, 5q11-35, and showed the greatest overall genomic instability. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by genome tiling array; Genome variation profiling by SNP array

7 related Platforms

504 Samples

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(Submitter supplied) Tumor recurrence represents a significant clinical challenge in the treatment and management of breast cancer. To investigate whether copy number aberrations (CNAs) facilitate the re-emergence of tumor growth from residual disease we performed array comparative genomic hybridization (aCGH) on primary and recurrent mammary tumors from an inducible mouse model of type-I insulin-like growth factor receptor (IGF-IR) driven breast cancer. more...

Organism:

Mus musculus

Type:

Genome variation profiling by genome tiling array

Platform:

GPL15076

19 Samples

Download data: TXT

(Submitter supplied) Molecular profiling was used to classify mammary tumors that develop in MTB-IGFIR transgenic mice. It was determined that the primary mammary tumors (PMT), which develop due to elevated expression of the type I insulin-like growth factor receptor (IGF-IR) in mammary epithelial cells, most closely resemble murine tumors with basal-like or mixed gene expression profiles and with human basal-like breast cancers. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL7202

28 Samples

Download data: TXT

(Submitter supplied) Tumorigenic processes are understood to be driven by epi-/genetic and genomic alterations from single point mutations to chromosomal alterations such as insertions and deletions of nucleotides up to gains and losses of large chromosomal fragments including products of chromosomal rearrangements e.g. fusion genes and proteins. Overall comparisons of copy number alterations (CNAs) present in 48 clear cell renal cell carcinoma (ccRCC) genomes result in ratios of gene losses versus gene gains between 26 ccRCC Fuhrman malignancy grades G1 (ratio 1.25) and 20 G3 (ratio 0.58). more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL6801

48 Samples

Download data: CEL, CHP

(Submitter supplied) Fifty-one breast tumors were profiled for copy-number alterations with the high-resolution Affymetrix 500K Mapping Array. Combined analysis of the prevalence and amplitude of copy-number alterations defined regions of recurrent gain or loss. Gains were most frequently observed on chromosomes 1, 8, 10, 11, 13, 15, 17, and 20. Losses were most frequent on chromosomes 3, 6, 11, 13, 14, 16, and 17. Compared with previous lower-resolution data, our analysis provided significantly more precise boundaries for frequently altered regions, greatly reducing the number of potential alteration-driving genes. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platforms:

GPL3718 GPL3720

102 Samples

Download data: CEL, EXP

(Submitter supplied) We analyzed DNA copy number alterations in 64 human gastric cancer samples and 8 gastric cancer cell lines using bacterial artificial chromosome (BAC) arrays based comparative genomic hybridisation (aCGH).

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL14846

72 Samples

Download data: TXT

(Submitter supplied) Diploid human cell lines were treated with aphidicolin as a model to see how DNA replication stress affects the genome, by identifying which copy number alterations appear in the first cell cycle. RNAseq was used to see whether there is any link between loci with recurrent CNAs and gene transcription in the genes located there.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

12 Samples

Download data: TXT

(Submitter supplied) A large number of DNA copy number alterations (CNAs) exist in human breast cancers, and thus characterizing the most frequent ones is key to advancing therapeutics because it is likely that these recurrent CNAs contain breast tumor ‘drivers’ (i.e. causal genes). Here, we have comprehensively profiled a large set of human breast tumors and mouse models of mammary cancers using DNA copy number and gene expression microarrays. more...

Organism:

Homo sapiens; Mus musculus

Type:

Genome variation profiling by SNP array

Platforms:

GPL4092 GPL8887

201 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by SNP array; SNP genotyping by SNP array

Platforms:

GPL5175 GPL6801

201 Samples

Download data: CEL, CHP

(Submitter supplied) In order to identify biomarkers that contribute to genetic causes of OSCC, we attempt to identify copy number variation regions (CNV) in patients with OSCC. We identified and confirmed the clinical significance of amplification regions scattered from 8q22.2 to 8q24.3.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL6801

122 Samples

Download data: CEL, CHP, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by array

8 related Platforms

105 Samples

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(Submitter supplied) Summary: Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes (luminal A, luminal B, ERBB2-associated, basal-like and normal-like) with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL7785

50 Samples

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(Submitter supplied) Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes - luminal A, luminal B, ERBB2-associated, basal-like and normal-like - with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). more...

Organism:

Homo sapiens

Type:

Genome variation profiling by array

7 related Platforms

55 Samples

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(Submitter supplied) PNBX were collected from 99 patients treated in the VA Greater Los Angeles (GLA-VA) Healthcare System between 2000-2016

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21290

99 Samples

Download data: XLSX

(Submitter supplied) To identify genomic evidence of chromosomal instability (CIN) in metastatic (M1) cases, we sampled the same tumor regions for DNA extraction that were previously selected to generate transcriptome data in localized (M0) cases. Since there is limited tissue in PNBX, only 24 cases yielded sufficient quality/quantity of DNA for copy number alteration (CNA) evaluation.

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL21558

24 Samples

Download data: CEL, OSCHP

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL8882

602 Samples

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(Submitter supplied) Cancer is a genetic disease with frequent somatic alterations in DNA. Study of recurrent copy number aberrations (CNAs) in human cancers would enable the elucidation of disease mechanisms and the identification of key oncogenic drivers with causal roles in oncogenesis. We have comprehensively and systematically characterized CNAs and accompanied gene expression changes in the tumors and their matched non-tumor liver tissues from 286 hepatocellular carcinoma (HCC) patients. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL8882

572 Samples

Download data: TXT