GEO DataSets

(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) Introduction: In breast cancers, the basal-like subtype has high levels of genomic instability relative to other breast cancer subtypes with many basal-like-specific regions of aberration. There is evidence that this genomic instability extends to smaller scale genomic aberrations as well, as shown by a previously described micro-event in the PTEN gene in the Basal-like SUM149 breast cancer cell line. more...

Organism:

Homo sapiens

Type:

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

8 related Platforms

192 Samples

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(Submitter supplied) Breast cancer is a profoundly heterogeneous disease with respect to biological and clinical behavior. Gene expression profiling has been used to dissect this complexity and stratify tumors into intrinsic gene expression subtypes associated with distinct biology, patient outcome and different genomic alterations. Additionally, breast tumors occurring in individuals with germline BRCA1 or BRCA2 mutations typically fall into distinct subtypes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by array

Platforms:

GPL4723 GPL7247 GPL5345

718 Samples

Download data: GPR, 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) While new defects in BRCA1 are still being found, it is unclear whether current breast cancer diagnostics misses many BRCA1-associated cases. A reliable test that is able to indicate the involvement of BRCA1 deficiency in cancer genesis could support decision making in genetic counselling and clinical management. To find BRCA1-specific markers and explore the effectiveness of the current diagnostic strategy, we designed a classification method, validated it and examined whether we could find BRCA1-like breast tumours in a group of patients initially diagnosed as non-BRCA1/2 mutation carriers. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL4560

37 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) A gene expression signature characterizes expression data from breast cancer samples of patients with pathological complete response (pCR) or residual disease (RD) following the neoadjuvant trial. Several gene expression profiles have been reported to predict breast cancer response to neoadjuvant chemotherapy. These studies often consider breast cancer as a homogeneous entity, although higher rates of pathologic complete response (pCR) are known to occur within the basal-like subclass. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

24 Samples

Download data: CEL

(Submitter supplied) Breast tumors from BRCA1 germ line mutation carriers typically exhibit features of the basal-like molecular subtype. However, the specific genes recurrently mutated as a consequence of BRCA1 dysfunction have not been fully elucidated. In this study, we utilized gene expression profiling to molecularly subtype 577 breast tumors, including 73 breast tumors from BRCA1/2 mutation carriers. Focusing on the RB1 locus, we analyzed 33 BRCA1-mutated, 36 BRCA2-mutated and 48 non-BRCA1/2-mutated breast tumors using a custom-designed high-density oligomicroarray covering the RB1 gene. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5345

577 Samples

Download data: GPR, TXT

(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:

GPL13314 GPL8882

26 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

Platforms:

GPL3718 GPL570 GPL3720

395 Samples

Download data: CEL

(Submitter supplied) To find BRCA1-associated copy number abberations, the copy number profiles of Familial Basal-like BRCA1-mutated breast carcinomas were compared to Familial Basal-like carcinomas with no pathgogenic BRCA1/2 mutation. This led to the observation of unanticipated heterogeneity of the BRCA1 associated copy number profiles. Gene expression analysis on the same samples identified tumor infiltrating lymphocytes to be responsible for this observation. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platforms:

GPL3720 GPL3718

240 Samples

Download data: CEL

(Submitter supplied) CHEK2 1100delC is a moderate-risk cancer susceptibility allele that confers a high breast cancer risk in a polygenic setting. Gene expression profiling of CHEK2 1100delC breast cancers may reveal clues to the nature of the polygenic CHEK2 model and its genes involved. Here, we report global gene expression profiles of a cohort of 155 familial breast cancers, including 26 CHEK2 1100delC mutant tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

155 Samples

Download data: CEL

(Submitter supplied) Breast cancer is a genetically and phenotypically complex disease. To understand the role of microRNAs in this molecular complexity, we performed miRNA expression analysis in a cohort of molecularly well-characterized human breast cancer (BC) cell lines to discover miRNAs associated with the most common molecular subtypes and the most frequent genetic aberrations.Using a microarray carrying LNA™ modified oligonucleotide capture probes (Exiqon), expression levels of 725 human miRNAs were measured in 51 BC cell lines. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

153 Samples

Download data: CEL

(Submitter supplied) Aberrant DNA methylation is frequently observed in breast cancer. However, the relationship between methylation patterns and the heterogeneity of breast cancer has not been comprehensively characterized. Whole-genome DNA methylation analysis using 450K Illumina BeadArrays was performed on 188 human breast tumors. Unsupervised bootstrap consensus clustering was performed to identify DNA methylation epigenetic subgroups (epitypes). more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

188 Samples

Download data: TXT

(Submitter supplied) We performed whole-genome methylation analysis using 450K Illumina BeadArrays on different human cell types. In total 24 experiments were performed. Dermal fibroblasts, three different epidermal melanocytes (dark, medium and light pigmentation), epidermal keratinocytes, mammary fibroblasts, mammary epithelial cells, mammary endothelial cells and mesenchymal stem cells were analyzed in technical duplicates. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

24 Samples

Download data: IDAT, TXT

(Submitter supplied) We analysed a cohort of 75 BRCA1, BRCA2 and non-BRCA1/2 breast tumors by gene expression profiling and found that 74% BRCA1 tumors were basal-like, 73% of BRCA2 tumors were luminal A or B, and 52% non-BRCA1/2 tumors were luminal A. Thirty-four tumors were also analysed by single nucleotide polymorphism-comparative genomic hybridization (SNP-CGH) arrays. Copy number data could predict whether a tumor was basal-like or luminal with high accuracy, but could not predict its mutation class. more...

Organism:

Homo sapiens

Type:

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

Platforms:

GPL6986 GPL6106

109 Samples

Download data: TXT

(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