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Comparison of human Inflammatory and non-Inflammatory breast cancer samples

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Van Laere S

PROVIDER: S-ECPF-MTAB-1006 | biostudies-other | 2012

REPOSITORIES: biostudies-other

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Comparison of human Inflammatory and non-Inflammatory breast cancer samples

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

Translation profiling of human inflammatory breast cancer samples to investigate gene expression

Project description:Gene expression profiles were established for Inflammatory breast cancer samples from patients treated at the Institut Paoli-Calmettes.

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Comparison of the genomic alterations present in tumor samples from patients with metastatic inflammatory versus non-inflammatory breast cancer reveals AURKA as a potential treatment target.

Project description:Inflammatory breast cancer (IBC) is a rare but aggressive subtype of breast cancer, mainly characterized using primary tumor samples. Here, using public datasets, we compared the genomic alterations in primary and metastatic samples from patients with metastatic IBC versus patients with metastatic non-IBC. We observed a higher frequency of AURKA amplification in IBC. We further showed that AURKA amplification was associated with increased AURKA mRNA expression, which we demonstrated was higher in IBC. Finally, higher protein expression of AURKA was associated with worse prognosis in patients with IBC. These findings deserve further investigation given the existence of AURKA-inhibitors.

| S-EPMC10300569 | biostudies-literature

Expression data from human inflammatory breast cancer biopsy samples

Project description:We used the Human Transcriptome Array 2.0 expression data to examine quality control, reproducibility, and insights on differential gene expression inflammatory breast cancer biopsy specimens prior to systemic treatment.

2023-04-19 | GSE228601 | GEO

Survival comparison between postoperative and preoperative radiotherapy for stage I-III non-inflammatory breast cancer.

Project description:To compare the survival benefit between preoperative and postoperative radiotherapy for stage I-III non-inflammatory breast cancer patients, we conducted a retrospective cohort study using surveillance, epidemiology and end results databases. Our study recruited patients who had been diagnosed with stage I-III breast cancer and underwent surgery and radiotherapy. The overall survival was calculated by Kaplan-Meier method. Cox risk model was used to determine the impact of radiotherapy according to stage, molecular subtype and other risk factors. Propensity score matching was used to balance measurable confounding factors. Of all the 411,279 enrolled patients varying from 1975 to 2016, 1712 patients received preoperative radiotherapy, and 409,567 patients received postoperative radiotherapy. Compared with the postoperative radiotherapy group, the preoperative radiotherapy group showed significantly higher risks of overall mortality and breast cancer-specific mortality. Survival differences in treatment sequences were correlated with stage, molecular subtypes and other risk factors. According to the results of this study, preoperative radiotherapy did not show a survival advantage, and postoperative radiotherapy is still the primary treatment. However, preoperative radiotherapy also has some theoretical advantages, such as phase reduction and recurrence reduction. Therefore, it is still worthy of further exploration.

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Comparison of molecular profile in triple-negative inflammatory and non-inflammatory breast cancer not of mesenchymal stem-like subtype.

Project description:BackgroundInflammatory breast cancer (IBC) is an aggressive form of breast cancer. The triple-negative subtype of IBC (TN-IBC) is particularly aggressive. Identification of molecular differences between TN-IBC and TN-non-IBC may help clarify the unique clinical behaviors of TN-IBC. However, our previous study comparing gene expression between TN-IBC and TN-non-IBC did not identify any TN-IBC-specific molecular signature. Lehmann et al recently reported that the mesenchymal stem-like (MSL) TNBC subtype consisted of infiltrating tumor-associated stromal cells but not cancer cells. Therefore, we compared the gene expression profiles between TN-IBC and TN-non-IBC patient samples not of the MSL subtype.MethodsWe classified 88 TNBC samples from the World IBC Consortium into subtypes according to the Vanderbilt classification and Insight TNBCtype, removed samples of MSL and unstable subtype, and compared gene expression profiles between the remaining TN-IBC and TN-non-IBC samples.ResultsIn the Vanderbilt analysis, we identified 75 genes significantly differentially expressed between TN-IBC and TN-non-IBC at an FDR of 0.2. In the Insight TNBCtype analysis, we identified 81 genes significantly differentially expressed between TN-IBC and TN-non-IBC at an FDR of 0.4. In both analyses, the top canonical pathway was "Fc Receptor-mediated Phagocytosis in Macrophages and Monocytes", and the top 10 differentially regulated genes included PADI3 and MCTP1, which were up-regulated, and CDC42EP3, SSR1, RSBN1, and ZC3H13, which were downregulated.ConclusionsOur data suggest that the activity of macrophages might be enhanced in TN-IBC compared with TN-non-IBC. Further clinical and preclinical studies are needed to determine the cross-talk between macrophages and IBC cells.

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Transcription profiling of human breast cancer samples

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Comparison of molecular subtype distribution in triple-negative inflammatory and non-inflammatory breast cancers.

Project description:Because of its high rate of metastasis, inflammatory breast cancer (IBC) has a poor prognosis compared with non-inflammatory types of breast cancer (non-IBC). In a recent study, Lehmann and colleagues identified seven subtypes of triple-negative breast cancer (TNBC). We hypothesized that the distribution of TNBC subtypes differs between TN-IBC and TN-non-IBC. We determined the subtypes and compared clinical outcomes by subtype in TN-IBC and TN-non-IBC patients.We determined TNBC subtypes in a TNBC cohort from the World IBC Consortium for which IBC status was known (39 cases of TN-IBC; 49 cases of TN-non-IBC). We then determined the associations between TNBC subtypes and IBC status and compared clinical outcomes between TNBC subtypes.We found the seven subtypes exist in both TN-IBC and TN-non-IBC. We found no association between TNBC subtype and IBC status (P = 0.47). TNBC subtype did not predict recurrence-free survival. IBC status was not a significant predictor of recurrence-free or overall survival in the TNBC cohort.Our data show that, like TN-non-IBC, TN-IBC is a heterogeneous disease. Although clinical characteristics differ significantly between IBC and non-IBC, no unique IBC-specific TNBC subtypes were identified by mRNA gene-expression profiles of the tumor. Studies are needed to identify the subtle molecular or microenvironmental differences that contribute to the differing clinical behaviors between TN-IBC and TN-non-IBC.

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Expression data from human inflammatory breast cancer biopsy samples

Project description:Expression data from human inflammatory breast cancer biopsy samples

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Comparison between Estrogen receptor positive and Estrogen receptor negative breast cancer samples

Project description:Comparison between Estrogen receptor positive and Estrogen receptor negative breast cancer samples Keywords: breast cancer type comparison 152 unique breast cancer tissue sample are included in the analysis. The total mRNA has been labeled with Cy5 and then hybridized on a two color arrays against the stratagen Human common reference that was previously labelled with Cy3.

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