Inflammatory versus non-inflammatory breast cancers
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ABSTRACT:
PROVIDER: PRJNA437146 | ENA |
REPOSITORIES: ENA
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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
Project description:19 non-metastatic breast cancers (controls) and 19 breast cancers showing metastases or metastatic relapse within 5 years (cases) were extracted from a multi-institutional case series of 123 breast cancer patients . Cases and controls were analyzed for DNA methylation over 56 genes by the MethDet assay [1]using a dedicated microarray (MethDet56). 1. Levenson VV, Melnikov AA: The MethDet: a technology for biomarker development. Expert Rev Mol Diagn 2011, 11:807-812.
2015-03-20 | E-MTAB-3153 | biostudies-arrayexpress
Project description:Tumor epithelium and surrounding stromal cells were isolated using laser capture microdissection of human breast cancer to examine differences in gene expression based on tissue types from inflammatory and non-inflammatory breast cancer Experiment Overall Design: We applied LCM to obtain samples enriched in tumor epithelium and stroma from 15 IBC and 35 non-IBC cases to study the relative contribution of each component to the IBC phenotype and to patient survival.
2008-06-14 | E-GEOD-5847 | biostudies-arrayexpress
Project description:Analysis of different proteomics profile in primary tumors of metastatic and non-metastatic breast cancers.
2023-03-09 | PXD037288 | Pride
Project description:Triple-negative (TN) and Basal-like (BL) breast cancer definitions have been used interchangeably to identify breast cancers that lack expression of the hormonal receptors (HR) and overexpression and/or amplification of HER2. However, both classifications when compared to each other, show substantial discordance rates. Here, we molecularly characterize TN tumors, and Basal-like tumors, and compare and contrast the results in terms of common patterns and distinct patterns for each. In total, when testing 412 TN and 473 Basal-like tumors, 21.4% and 31.5% were identified as non-Basal-like and non-TN, respectively. TN tumors identified as Luminal or HER2-enriched showed undistinguishable overall gene expression profiles when compared versus Luminal or HER2-enriched tumors that were not TN. Similar findings were observed within Basal-like tumors regardless of the TN status. Interestingly, most TN tumors identified as HER2-enriched showed low HER2 expression and lack of HER2 amplification despite the similar overall gene expression profiles to HER2-E tumors that were not TN. Lastly, additional genomic classifications are examined within TN and Basal-like cancers, most of which are largely concordant with tumor intrinsic subtype. These results suggest that future clinical trials focused on TN disease should consider stratifying patients based on Basal-like versus non-Basal-like gene expression profiles as this appears to be the main biological difference seen within TN breast cancer patients. reference x sample
2014-07-29 | E-GEOD-41119 | biostudies-arrayexpress
Project description:Triple-negative (TN) and Basal-like (BL) breast cancer definitions have been used interchangeably to identify breast cancers that lack expression of the hormonal receptors (HR) and overexpression and/or amplification of HER2. However, both classifications when compared to each other, show substantial discordance rates. Here, we molecularly characterize TN tumors, and Basal-like tumors, and compare and contrast the results in terms of common patterns and distinct patterns for each. In total, when testing 412 TN and 473 Basal-like tumors, 21.4% and 31.5% were identified as non-Basal-like and non-TN, respectively. TN tumors identified as Luminal or HER2-enriched showed undistinguishable overall gene expression profiles when compared versus Luminal or HER2-enriched tumors that were not TN. Similar findings were observed within Basal-like tumors regardless of the TN status. Interestingly, most TN tumors identified as HER2-enriched showed low HER2 expression and lack of HER2 amplification despite the similar overall gene expression profiles to HER2-E tumors that were not TN. Lastly, additional genomic classifications are examined within TN and Basal-like cancers, most of which are largely concordant with tumor intrinsic subtype. These results suggest that future clinical trials focused on TN disease should consider stratifying patients based on Basal-like versus non-Basal-like gene expression profiles as this appears to be the main biological difference seen within TN breast cancer patients.
2014-07-29 | GSE41119 | GEO
Project description:In this study we generated gene expression profiles of 41 and 55 samples of patients with and without inflammatory breast cancer (IBC vs. non-IBC). The aim of the study was to delineate the specific transcriptional profile of the samples from patients with IBC in search for diagnostic, prognostic and predictive biomarkers.
2012-02-23 | E-MTAB-1006 | biostudies-arrayexpress
Project description:Purpose: Transcriptome profiling (RNA-seq) of a novel human Inflammatory Breast Cancer cell line A3250 in comparison to SUM149 and MDA-MB-231 Inflammatory Breast Cancer (IBC) is the most aggressive form of breast cancer with distinct clinical and histopathological features, but understanding of the unique aspects of IBC biology lags far behind that of other breast cancers. We describe a novel triple-negative IBC cell line, A3250, that recapitulates key features of human IBC in a mouse xenograft model.The purpose of this study was to compare differences in gene expression between A3250 IBC, MDA-MB-231 non-IBC and SUM149 IBC that does not present with typical clinical sympotms of IBC in a mouse model, with the goal of identifying unique molecular features for this unique type of breast cancer Results: RNA-Seq analysis identified expression profile characteristic for the novel A3250 IBC cell line, compared to SUM149 IBC and MDA-MB-231 non-IBC.
2021-10-01 | GSE180788 | GEO
Project description:Prinary breast cancers and brain metastasis
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Project description:Use of circRNA array to examine the circRNA expression profile in breast cancers,non-tumor breast tissues
2018-07-07 | GSE101123 | GEO