GEO DataSets

(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) 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) 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) 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:

GPL5345 GPL7247 GPL4723

718 Samples

Download data: GPR, TXT

(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) In this study, we profiled gene expressions on 20 biopsy tissues of early stage breast carcinoma using Applied Biosystem’s Human Genome Survey Microarrays. Two main previously defined clinically relevant subtypes of breast tumors, Luminal A (longest survival time) and Basal (shortest survival time) were identified. Statistical analysis identified 1210 genes as signature genes characterizing the two subtypes of breast cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL1843 GPL1426 GPL1708

80 Samples

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(Submitter supplied) Breast cancer subtypes identified in genomic studies have different underlying genetic defects. Mutations in the tumor suppressor p53 occur more frequently in estrogen receptor (ER) negative, basal-like and HER2-amplified tumors than in luminal, ER positive tumors. Thus, because p53 mutation status is tightly linked to other characteristics of prognostic importance, it is difficult to identify p53's independent prognostic effects. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL887 GPL885

48 Samples

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(Submitter supplied) The number of relevant and well-characterized cell lines and xenograft models for studying human breast cancer are few, and may represent a limitation for this field of research. With the aim of developing new breast cancer model systems for in vivo studies of hormone dependent and independent tumor growth, progression and invasion, and for in vivo experimental therapy studies, we collected primary mammary tumor specimens from patients, and implanted them in immunodeficient mice. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10711

14 Samples

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(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) 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) HER2 gene amplification and protein overexpression (HER2+) define a clinically challenging subgroup of breast cancer with variable prognosis and response to therapy. Although gene expression profiling has identified an ERBB2 molecular subtype of breast cancer, it is clear that HER2+ tumors reside in all molecular subtypes and represent a genomically and biologically heterogeneous group. Genome-wide DNA copy number profiling, using BAC array comparative genomic hybridization (aCGH) were performed on 200 tumors with mixed clinical characteristics and amplification of HER2. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platforms:

GPL9077 GPL7247 GPL4723

200 Samples

Download data: GPR

(Submitter supplied) A BAC-array platform for comparative genomic hybridization was constructed from a library of 32,433 clones providing complete genome coverage, and evaluated by screening for DNA copy number changes in 11 breast cell lines (BT474, MCF7, HCC1937, SK-BR-3, L56Br-C1, ZR-75-1, MCF10A, JIMT1, MDA-MB-231, MDA-MB-361 and HCC2218). These were also characterized by gene expression analysis and found to represent all five recently described breast cancer subtypes using the ‘intrinsic gene set’ and centroid correlation. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL4723

11 Samples

Download data: TXT

(Submitter supplied) Introduction: Five different molecular subtypes of breast cancer have been identified through gene expression profiling. Each subtype has a characteristic expression pattern suggested to partly depend on cellular origin. We aimed to investigate whether the molecular subtypes also display distinct methylation profiles. Methods: We analysed methylation status of 807 cancer-related genes in 189 fresh frozen primary breast tumours and four normal breast tissue samples using an array-based methylation assay. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL9183

193 Samples

Download data: 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:

GPL8882 GPL13314

26 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL10656 GPL14550

806 Samples

Download data: TXT

(Submitter supplied) Background: Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes. Methods: Tumor tissue from 425 primary breast cancer patients of the Oslo2 study was cut and blended before being divided into fractions for DNA-, RNA- and protein isolation, and metabolomics, allowing for representative and comparable molecular data. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL10656

425 Samples

Download data: TXT

(Submitter supplied) Background: Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes. Methods: Tumor tissue from 425 primary breast cancer patients of the Oslo2 study was cut and blended before being divided into fractions for DNA-, RNA- and protein isolation, and metabolomics, allowing for representative and comparable molecular data. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL14550

381 Samples

Download data: TXT

(Submitter supplied) It is now well understood that epigenetic alterations occur frequently in sporadic breast carcinogenesis, but little is known about the epigenetic alterations associated with familial breast tumors. We performed genome-wide DNA methylation profiling on familial breast cancers (n=33) to identify patterns of methylation specific to the different mutation groups (BRCA1, BRCA2 and BRCAx) or intrinsic subtypes of breast cancer (basal, luminal A, luminal B, HER2 and normal-like). more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL5082

33 Samples

Download data: CEL, TXT

(Submitter supplied) Microarrays have shown that gene expression patterns can be used to molecularly classify breast cancers into distinct and clinically significant groups. In order to translate these profiles into routine diagnostics, we have recapitulated a microarray breast cancer classification using real-time quantitative (q)RT-PCR. We performed statistical analyses on multiple independent microarray datasets to select an “intrinsic” gene set that can classify breast tumors into four different subtypes designated as Luminal, Normal-like, HER2+/ER-, and Basal-like. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL885 GPL1390 GPL887

126 Samples

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