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Links from GEO DataSets

Items: 20

1.

Transcriptomic profiling of sequential tumours from breast cancer patients provides a global view of metastatic expression changes following endocrine therapy

(Submitter supplied) We profiled primary breast cancer, nodal and liver metastatic tumours from three patients. At the time of initial diagnosis, all three patients presented with luminal breast cancer with adjacent nodal metastasis. They all received 5 years of enodrine therapy and all subsequently developed liver metastasis.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
8 Samples
Download data: TXT
Series
Accession:
GSE58708
ID:
200058708
2.

ER ChIP-seq of Androstenedione treated Letrozole Resistant Breast Cancer Cell line

(Submitter supplied) Acquired resistance to aromatase inhibitor (AI) therapy is a major clinical problem in the treatment of breast cancer. The detailed mechanisms of how tumour cells develop this resistance remain unclear. Here estrogen receptor ChIPseq analysis identifies adaptations of the ER in response to prolonged letrozole treatment.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL11154 GPL10999 GPL9115
8 Samples
Download data: BED, BEDGRAPH
Series
Accession:
GSE54592
ID:
200054592
3.

RNA-sequencing of tamoxifen resistant LY2 cells transfected with siRNA-HOXC11.

(Submitter supplied) To assess the global effects of HOXC11 in endocrine resistant breast cancer cells we performed RNA-seq on LY2 cells which were transfected with either siRNA targeting HOXC11 (siHOXC11) or a scrambled negative control siRNA (scrHOXC11) in the presence of 4-OH-tamoxifen (10-8M). Knockdown was verified by Taq-man qRT-PCR prior to library preparation. RNA (10µg) was extracted using an Oligotex mRNA kit (Qiagen) as per manufacturer’s instructions (n=4). more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL9115
8 Samples
Download data: XLSX
4.

Separation of breast cancer and organ microenvironment transcriptomes in metastases

(Submitter supplied) The seed-and-soil hypothesis was described over a century ago to describe why cancer cells (seeds) grow in certain organs (soil). Since then, the genetic properties that define the cancer cells have been heavily investigated, however, the genetic mediators within the organ microenvironment that mediate successful metastatic growth are less understood. In these studies, a set of human breast cancer patient-derived xenograft (PDX) metastasis models were utilized. more...
Organism:
Mus musculus; Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL22245 GPL17021
128 Samples
Download data: TXT
Series
Accession:
GSE118942
ID:
200118942
5.

Genomic pathways modulated by Twist in breast cancer

(Submitter supplied) Background: The basic helix-loop-helix transcription factor TWIST1 (Twist) is involved in embryonic cell lineage determination and mesodermal differentiation. There is evidence to indicate that Twist expression plays a role in breast tumor formation and metastasis, but the role of Twist in dysregulating pathways that drive the metastatic cascade is unclear. Importantly, the genes and pathways dysregulated by Twist in cell lines and mouse models have not been validated against data obtained from patient samples. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
11 Samples
Download data: CEL
Series
Accession:
GSE87705
ID:
200087705
6.

RNA-sequencing and MeDIP-sequencing of shSRC-1 and shNT tamoxifen treated LY2 cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing
Platform:
GPL11154
12 Samples
Download data: WIG
Series
Accession:
GSE99649
ID:
200099649
7.

MeDIP-sequencing of shSRC-1 and shNT tamoxifen treated LY2 cells

(Submitter supplied) The steroid co-activator protein SRC-1 plays an important role in endocrine therapy resistant breast cancer. Its expression is associated with large high grade tumours, HER2 positivity, disease recurrence and resistance to endocrine therapy. While SRC-1 typically functions to activate gene expression, some evidence has pointed towards a potential role in repression. This study looks into the effects of a stable knockdown of SRC-1 in a tamoxifen resistant cell line, LY2, and the effects of this knock down on the methylation landscape.
Organism:
Homo sapiens
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL11154
4 Samples
Download data: WIG
Series
Accession:
GSE99648
ID:
200099648
8.

RNA-sequencing of shSRC-1 and shNT tamoxifen treated LY2 cells

(Submitter supplied) The steroid co-activator protein SRC-1 plays an important role in endocrine therapy resistant breast cancer. Its expression is associated with large high grade tumours, HER2 positivity, disease recurrence and resistance to endocrine therapy. SRC-1's role in affecting the transcriptome of the breast cancer endocrine resistant setting is uncovered through this RNA-seq analysis of LY2 cells grown with or without the presence of SRC-1
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
8 Samples
Download data: TXT
Series
Accession:
GSE99647
ID:
200099647
9.

Analysis of Paired Primary-Metastatic Hormone-Receptor Positive Breast Tumors (HRPBC) Uncovers Potential Novel Drivers of Hormonal Resistance

(Submitter supplied) We sought to identify genetic variants associated with disease relapse and failure to hormonal treatment in hormone-receptor positive breast cancer (HRPBC). We analyzed a series of HRPBC with distant relapse, by sequencing pairs (n=11) of tumors (primary and metastases) at >800X. Comparative genomic hybridization was performed as well. Top hits, based on the frequency of alteration and severity of the changes, were tested in the TCGA series. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL21613
16 Samples
Download data: TXT
Series
Accession:
GSE79446
ID:
200079446
10.

Granulocytic immune infiltrates are essential for the efficient formation of breast cancer liver metastases

(Submitter supplied) Breast cancer cells display preferences for specific metastatic sites including the bone, lung and liver. Metastasis is a complex process that relies, in part, on interactions between disseminated cancer cells and resident/infiltrating stromal cells that constitute the metastatic microenvironment. Distinct immune infiltrates can either impair the metastatic process or conversely, assist in the seeding, colonization and growth of disseminated cancer cells. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Dataset:
GDS5666
Platform:
GPL7202
15 Samples
Download data: TXT
Series
Accession:
GSE62598
ID:
200062598
11.
Full record GDS5666

4T1 breast cancer model: metastatic sub-populations

Analysis of parental mammary tumor cell line 4T1-derived metastatic populations isolated from liver, lung or bone. Results provide insight into molecular mechanisms associated with the different metastatic breast cancer sub-populations.
Organism:
Mus musculus
Type:
Expression profiling by array, count, 5 cell type sets
Platform:
GPL7202
Series:
GSE62598
15 Samples
Download data: TXT
12.

Epigenetic profiling of docetaxel resistance in Breast Cancer

(Submitter supplied) Illumina Infinium MethylationEPIC Beadchip was used to obtain DNA methylation profiles across 850000 CpGsites in nine different breast cancer PDX models. Docetaxel resistant and residual disease PDX models were also analyzed
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platforms:
GPL13534 GPL21145
70 Samples
Download data: CSV, IDAT, TXT
Series
Accession:
GSE110184
ID:
200110184
13.

Transcriptomic profiling of triple-negative breast cancer (TNBC) patient-derived xenografts (PDX) sensitive and resistant to docetaxel.

(Submitter supplied) SurePrint G3 Human Gene Expression Microarray v2 was used to obtain gene expression profiles of two different TNBC PDX models sensitive to docetaxel and in the docetaxel resistant TNBC PDX models derived from both initially sensitive.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16699
11 Samples
Download data: TXT
Series
Accession:
GSE110153
ID:
200110153
14.

Microarray profiling shows distinct differences between primary tumors and commonly used preclinical models in hepatocellular carcinoma

(Submitter supplied) Background: Despite advances in therapeutics, outcomes for hepatocellular carcinoma (HCC) remain poor and there is an urgent need for efficacious systemic therapy. Unfortunately, drugs that are successful in preclinical studies often fail in the clinical setting, and we hypothesize that this is due to functional differences between primary tumors and commonly used preclinical models. In this study, we attempt to answer this question by comparing tumor morphology and gene expression profiles between primary tumors, xenografts and HCC cell lines. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
30 Samples
Download data: CEL
Series
Accession:
GSE72981
ID:
200072981
15.

MicroRNA expression abnormalities in pancreatic endocrine and acinar tumours are associated with distinctive pathologic features and clinical behavior

(Submitter supplied) We investigated the global microRNA expression patterns in normal pancreas, pancreatic endocrine tumours and acinar carcinomas to evaluate their involvement in transformation and malignant progression of these tumour types.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL20949
44 Samples
Download data: GPR
Series
Accession:
GSE73350
ID:
200073350
16.

Pancreatic endocrine tumours: expression profiling evidences a rold for AKT-mTOR pathway

(Submitter supplied) We investigated the global gene expression in a large panel of pancreatic endocrine tumours (PETs) aimed at identifying new potential targets for therapy and biomarkers to predict patient outcome.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20945
97 Samples
Download data: SPOT
Series
Accession:
GSE73338
ID:
200073338
17.

Human breast cancer invasion signature

(Submitter supplied) Introduction: Metastasis of breast cancer is the main cause of death in patients. Previous genome-wide studies have identified gene expression patterns correlated with cancer patient outcome, however these were mostly derived from whole tissue without respect to cell heterogeneity. In reality, only a small subpopulation of migratory and invasive cells inside the primary tumor is responsible for escaping and initiating dissemination and metastasis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL15524
8 Samples
Download data: GPR, TXT
Series
Accession:
GSE37733
ID:
200037733
18.

RNA sequencing of siSNRNP40 in breast cancer cells

(Submitter supplied) To identify gene expression profile changes upon SNRNP40 depletion, RNA-sequencing was performed on breast cancer cells transfected with siRNAs targeting SNRNP40.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
4 Samples
Download data: TXT
19.

Comparative transcriptome analysis of metastatic heterogeneity in a mouse model of breast cancer

(Submitter supplied) We aimed to understand the transcriptome patterns of organ-derived cancer cell isolates from MMTV-PyMT mice. Tissues from primary tumors and organs harboring distal metastases were harvested from cancer bearing female mice. Although metastatic progression from primary tumors to lung tissue is well studied in the MMTV-PyMT model, metastases to other distal organs and the significance of intratumor heterogeneity across metastases from distal organs remain unclear. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
17 Samples
Download data: CSV
Series
Accession:
GSE165393
ID:
200165393
20.

Heterotypic mouse models of canine osteosarcoma recapitulate tumor heterogeneity and biological behavior

(Submitter supplied) Purpose: The goals of this study were to establish in vivo models that recapitulated the heterogeneous behavior of osteosarcoma and to develop an approach to distinguish genes expressed from tumor cells apart from those expressed from host cells in next generation sequencing (NGS) data from xenograft tumors. Methods: We used cell lines derived from two spontaneous canine osteosarcoma tumors with distinctly different biological behaviors for heterotypic in vivo modeling. more...
Organism:
Mus musculus; Canis lupus familiaris
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL20988 GPL22673
12 Samples
Download data: TXT
Series
Accession:
GSE89835
ID:
200089835
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