GEO DataSets

(Submitter supplied) Triple-negative breast cancers (TNBCs) are a heterogeneous set of tumors defined by an absence of actionable therapeutic targets (ER, PR, and HER-2). Microdissected normal ductal epithelium from healthy volunteers represents a novel comparator to reveal insights into TNBC heterogeneity and to inform drug development. Using RNA-sequencing data from our institution and The Cancer Genome Atlas (TCGA) we compared the transcriptomes of 94 TNBCs, 20 microdissected normal breast tissues from healthy volunteers from the Susan G. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL9520

10 Samples

Download data: TXT

(Submitter supplied) Immune checkpoint inhibitors (ICIs) have had a profound impact on the treatment of many tumors; however, their effectiveness against triple-negative breast cancers (TNBCs) has been limited. One factor limiting responsiveness of TNBCs to ICIs is a lack of functional tumor i-infiltrating lymphocytes (TILs) in ‘“non-inflamed’” or ‘“cold’” tumor immune microenvironments (TIMEs), albeitalthough by unknown mechanisms. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

6 Samples

Download data: CSV

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

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL11154 GPL570

19 Samples

Download data: BED, BW, CEL

(Submitter supplied) During cancer progression, carcinoma cells encounter a variety of cytotoxic stresses such as hypoxia, nutrient deprivation, and low pH as a result of inadequate vascularization. To maintain survival and growth in the face of these physiologic stressors, a set of adaptive response pathways are induced. One adaptive pathway well studied in other contexts is the unfolded protein response (UPR), of which XBP1 is an important component. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

8 Samples

Download data: CEL

(Submitter supplied) We report the application of ChIP-seq, which combines chromatin immunoprecipitation (ChIP) with massively parallel DNA sequencing, to map genome-wide XBP1 binding sites in different breast cancer cell lines. We showed that HIF1α motif was enriched in XBP1 binding sites in triple negative breast cancer (TNBC) cell lines, but not enriched in ER positive breast cancer cell line. We also demonstrated that different breast cancer cell lines of the same sub-type had similar XBP1 binding sites, whereas different breast cancer sub-types had majorly different XBP1 binding sites. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL11154

11 Samples

Download data: BED, BW

(Submitter supplied) WAP-Cre:Ptenf/f:p53lox.stop.lox_R270H composite mice were generated by genetic crossing. In these mice, Pten is deleted and a R270H p53 mutation in the DNA binding domain is induced upon expression of Cre recombinase in pregnancy-identified alveolar progenitors. Tumors were characterized by histology, marker analysis, various bioinformatics methods, high-throughput (HTP) FDA-drug screen as well as orthotopic injection to quantify tumor initiating cells (TICs) and tail-vein injection to identify lung-metastasis. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

31 Samples

Download data: CEL

(Submitter supplied) Experiment type: Expression profiling by microarray and RNA-seq data, Third-party re-analysis The purpose of our study is to construct breast cancer cell line BT20-specific interactome by aggregating publically available microarray or RNA-seq samples, and identify novel transcriptional regulators that control breast cancer progression. We collected 101 samples of BT20 cell line microarray or RNA-seq from 12 prior studies and our own study data, GSE120919. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Expression profiling by high throughput sequencing; Third-party reanalysis

Download data: TXT

(Submitter supplied) Purpose: We investigated the function of overexpressed BCL2L14-ETV6 fusion variants in triple-negative breast cancer using high-throughput mRNA sequencing (RNA-Seq) analysis in BT20 human basal-like breast cancer cell line. Methods: The BCL2L14-ETV6 fusion variants or wildtype ETV6 cDNA containing the full-length ORFs were subcloned into the lentiviral pLenti7.3 vector, and later transduced into the BT20 cell line. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

15 Samples

Download data: TXT, XLSX

(Submitter supplied) Triple negative breast cancer (TNBC) is an aggressive subtype that lack targeted clinical therapies. In addition, TNBC is heterogeneous and was recently further sub-classified into seven TNBC subtypes that displayed unique gene expression patterns. To develop therapeutic treatment regimens, we established seven patient-derived xenograft models from TNBC tumors. These xenograft models not only retained the histology and clinical markers of the corresponding patient tumors, but also bearing the same mutations and deletions identified in the patient tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

7 Samples

Download data: CEL

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL16686 GPL6244

133 Samples

Download data: CEL

(Submitter supplied) Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

68 Samples

Download data: CEL

(Submitter supplied) Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL16686

65 Samples

Download data: CEL

(Submitter supplied) One of the factors involved in TNBC aggressiveness is HMGA1, a member of non-histone chromatin proteins. The High mobility group A1 is an architectural transcription factor which, by altering chromatin structure and interacting with transcription factors, can regulate the transcription of several genes. HMGA1 protein is defined as an oncofetal protein as it is highly expressed during the embryogenesis while its expression decreases or is absent in adults, and it is re-expressed in a variety of tumors, including breast cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

15 Samples

Download data: TXT

(Submitter supplied) LCM was perfomed on adjacent tumor and stromal cells to identify differentially expressed genes in triple negative breast cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

20 Samples

Download data: CEL

(Submitter supplied) NONO is one of RNA Binding protein. To investigate the role of NONO in breast cancer cells (TNBC), we carried out microarray.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

12 Samples

Download data: TXT

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL24676

64 Samples

Download data: BW, NARROWPEAK

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

22 Samples

Download data: CSV

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

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Methylation profiling by array; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL18573 GPL13534 GPL24676

386 Samples

Download data: BW, IDAT, NARROWPEAK

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

15 Samples

Download data: IDAT, TSV

(Submitter supplied) Triple-negative breast cancer (TNBC) is a heterogeneous disease with limited treatment options. To characterize TNBC heterogeneity and treatment response, we combined functional and molecular profiling with computational analysis tools. Using these approaches, we defined transcriptional, epigenetic, and metabolic subtypes, and identified subtype-driving super-enhancers. Single cell RNA sequencing analyses revealed relative homogeneity of the three major transcriptional subtypes (luminal, basal and mesenchymal) within tumors. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

34 Samples

Download data: IDAT, TSV