Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genomic Analysis of Microdissected Inflammatory Breast Cancer

ABSTRACT: Inflammatory breast cancer (IBC) is a unique clinical entity characterized by rapid onset of erythema and swelling of the breast often without an obvious breast mass. Many studies have examined and compared gene expression between IBC and non-IBC (nIBC), repeatedly finding clusters associated with receptor subtype, but no consistent gene signature associated with IBC has been validated. Here we examined microdissected IBC tumor cells compared to microdissected nIBC tumor cells matched based on estrogen and HER-2/neu receptor status.

ORGANISM(S): Homo sapiens

PROVIDER: GSE45582 | GEO | 2013/03/29

SECONDARY ACCESSION(S): PRJNA194621

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression Analysis of Microdissected Inflammatory Breast Cancer

Project description:Inflammatory breast cancer (IBC) is a unique clinical entity characterized by rapid onset of erythema and swelling of the breast often without an obvious breast mass. Many studies have examined and compared gene expression between IBC and non-IBC (nIBC), repeatedly finding clusters associated with receptor subtype, but no consistent gene signature associated with IBC has been validated. Here we examined microdissected IBC tumor cells compared to microdissected nIBC tumor cells matched based on estrogen and HER-2/neu receptor status.

2013-03-29 | GSE45581 | GEO

Genomic Analysis of Microdissected Inflammatory Breast Cancer

2013-03-29 | E-GEOD-45582 | biostudies-arrayexpress

Expression Analysis of Microdissected Inflammatory Breast Cancer

2013-03-29 | E-GEOD-45581 | biostudies-arrayexpress

Expression data from Fine Needle Aspiration (FNA) biopsies from breast cancer patients

Project description:This is a stage-matched case control study. Cases with clinical diagnosis of Inflammatory Breast Cancer (IBC) were selected after reviewing all medical records of the 440 FNA samples. IBC was defined as signs of erythema and edema (peau d’orange) involving at least one third of the skin and rapid clinical presentation. Presence of tumor emboli in the dermal lymphatics of the involved skin in the pathology report was not required for inclusion as IBC. Controls were selected to match for T stage, all T4a-c tumors in the data set were included as controls. IBC breast cancer are all T4d breast cancer. We examined if gene expression differences exist between IBC and stage-matched Non-IBC stratified according to hormone receptor and HER2 status.

2011-07-01 | GSE22597 | GEO

Expression data from Fine Needle Aspiration (FNA) biopsies from breast cancer patients

2011-07-01 | E-GEOD-22597 | biostudies-arrayexpress

Progression of ductal carcinoma in situ to invasive breast cancer

2012-04-01 | GSE33692 | GEO

Progression of ductal carcinoma in situ to invasive breast cancer

Project description:Ductal carcinoma in situ (DCIS) is a precursor lesion that can give rise to invasive breast cancer (IBC). It has been proposed that both the nature of the lesion and the tumor microenvironment play key roles in progression to IBC. Here, laser capture microdissected tissue samples from epithelium and stroma in normal breast, pure DCIS, and pure IBC were employed to define key gene expression profiles associated with disease progression. Tumor and matching stroma were profiled for 9 DCIS patients, 10 IBC patients, and 3 normal breast. Differential gene expression was evaluated for paired normal stroma versus normal epitelium samples, paired DCIS stroma versus DCIS epitelium samples, paired IBC stroma versus IBC epitelium, IBC stroma versus DCIS stroma, and IBC epithelium versus DCIS epithelium.

2012-03-31 | E-GEOD-33692 | biostudies-arrayexpress

Gene expression profile of breast cancer cell lines

Project description:Inflammatory Breast Cancer (IBC) is the most aggressive form of breast cancer, but understanding of the unique aspects of IBC biology lags far behind that of other breast cancers. One of the key barriers in advancing understanding of the molecular determinants of IBC has been the lack of adequate models for this disease that presents with distinct clinical and histopathological features. We describe here a novel human triple-negative IBC cell line, A3250, that recapitulates key features of human IBC in a mouse orthotopic model including skin erythema, diffuse tumor growth, high stroma to tumor ratio, dermal lymphatic invasion, and extensive lymph node and distant metastases. Tumor-associated macrophages were particularly enriched, and A3250 cells expressed very high levels of CCL2, a macrophage recruiting chemokine in the absence of detectable levels of its cognate receptor. CCL2 knockdown led to a striking reduction in macrophage densities, tumor cell proliferation, and metastasis in vivo. These results identify tumor-derived CCL2 as a key factor driving macrophage expansion and indirectly, the growth of A3250 IBC cells in vivo. Comparison of the A3250 chemokine expression profile with human IBC expression data sets revealed sharing of this profile across different IBC subtypes as well as enrichment for macrophage expression. Thus, this human IBC model provides a unique opportunity to uncover novel aspects of IBC biology, and to test novel therapies for this deadly disease.

2023-09-30 | GSE159987 | GEO

Inflammatory versus non-inflammatory breast cancers

Project description:Inflammatory Breast Cancer (IBC) is the most aggressive form of breast carcinoma characterized by the rapid onset of inflammatory signs. The molecular fingerprint for this rare, severe and unique clinical entity is still not elucidated. The goal of the present work was to detect both gene expression levels and alternate RNA splice variants specific to IBC. Experimental Design: In order to identify differentially expressed genes and splicing events, we performed splice-sensitive array profiling using Affymetrix Exon Array and quantitative RT-PCR analyses in a large series of 177 IBC compared to 183 non-IBC. We also assessed the prognostic value of the identified candidate genes and splice variants. Results: A 5-splice signature (HSPA8, RPL10, RPL4, DIDO1 and EVL) was able to distinguish IBC from non-IBC tumors (p<10-7). This splice signature was associated with poor metastasis-free survival (MFS) in hormone receptor-negative non-IBC (p=0.02), whereas it had no prognostic value in IBC patients. A PAM analysis of deregulated genes in IBC compared to non-IBC identified a 10-gene signature highly predictive of IBC phenotype and conferring a poor prognosis in non-IBC. The most up-regulated genes in IBC were 3 hemoglobin genes able to highly discriminate IBC from non IBC (p<10-4). In epithelial breast tumor cells, Hb protein expression was confirmed by immunohistochemistry. Conclusions: IBC has a specific spliced transcript profile that deserves further functional studies. Above all, IBC is characterized by hemoglobin genes overexpression, a fact that may lead to increased tumor progression. If confirmed, hemoglobins may serve as therapeutic targets.

2021-01-04 | GSE111477 | GEO

Transcriptome profiling of the microdissected breast tissue compartments

Project description:Transcriptome profiling of the microdissected breast tissue compartments

| PRJNA594928 | ENA