GEO DataSets

(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) 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:

Expression profiling by array

Platform:

GPL14550

381 Samples

Download data: TXT

(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) We sequenced mammary gland samples of MMTV-PyMT mouse from 4 stages (hyperplasia at week 6, adenoma/MIN at week 8, early carcinoma at week 10, and late carcinoma with lung metastasis at week 12) during tumor progression.

Organism:

Mus musculus

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL17021

24 Samples

Download data: CSV

(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

Download data

(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

Download data

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

Organism:

Homo sapiens

Type:

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

Platforms:

GPL5639 GPL13746

16 Samples

Download data: GPR

(Submitter supplied) Recent analyses have identified heterogeneity in estrogen receptor (ER)-positive breast cancer. There are so-called luminal A and luminal B subtypes, and the characteristics, such as response to endocrine therapy and chemotherapy and prognosis, are different in these two subtypes of breast cancer. In this study, expression profiles of microRNAs (miRNAs) and mRNAs in ER-positive breast cancer tissues were compared between highly and incompletely endocrine responsive tumors by miRNA and mRNA microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5639

8 Samples

Download data: GPR

(Submitter supplied) Recent analyses have identified heterogeneity in estrogen receptor (ER)-positive breast cancer. There are so-called luminal A and luminal B subtypes, and the characteristics, such as response to endocrine therapy and chemotherapy and prognosis, are different in these two subtypes of breast cancer. In this study, expression profiles of microRNAs (miRNAs) and mRNAs in ER-positive breast cancer tissues were compared between highly and incompletely endocrine responsive tumors by miRNA and mRNA microarrays. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL13746

8 Samples

Download data: GPR

(Submitter supplied) Epithelial ovarian cancer is morphologically and clinically heterogeneous. Transcriptional profiling has revealed molecular subtypes (referred to as “C-signatures”) that correlate to biological as well as clinical features. We aimed to determine gene expression differences between malignant, benign and borderline serous ovarian tumors, and to investigate similarities to the intrinsic molecular subtypes of breast cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

72 Samples

Download data: TXT

(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 common disease with distinct tumor subtypes which can be phenotypically characterized by estrogen receptor, progesterone receptor and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression. Altered miRNA expression has been demonstrated in a variety of cancer states to date presenting the potential for exploitation as cancer specific biomarkers. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platforms:

GPL17040 GPL17039

28 Samples

Download data: TXT

(Submitter supplied) Highly coordinated, deregulated expressions of microRNAs (miRNA) have been implicated in the development of various cancers, including head and neck squamous cell carcinoma (HNSCC). Outside of HPV infection, molecular classification of HNSCC is lacking, and patient stratification by anatomical location and stage does not account for the heterogenous clinical courses seen. Previous studies have proposed molecular classifications based on gene expression, but none describe the role of microRNA expression in HNSCC subtyping. more...

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL8786

88 Samples

Download data: CEL, 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) Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4198

Platform:

GPL570

70 Samples

Download data: CEL

(Submitter supplied) Genome-wide mRNA expression profiles of 56 primary gastric tumors from the Singapore patient cohort, batch B. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

56 Samples

Download data: CEL, XLS

(Submitter supplied) Genome-wide DNA copy number profiling of gastric tumors and matched non-maligant samples. The affymetrix SNP6 array was used to obtain DNA copy number profiles in 193 gastric tumors and 98 matched gastric non-malignant samples.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL6801

291 Samples

Download data: CEL, CNCHP