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Microarray data for inflammatory breast cancer cases

ABSTRACT: Microarray data for inflammatory breast cancer cases

PROVIDER: PRJNA602507 | ENA |

REPOSITORIES: ENA

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Microarray data for inflammatory breast cancer cases

Project description:Inflammatory breast cancer (IBC) is a rare and aggressive type of breast cancer (BC) whose molecular basis is poorly understood. We performed a comprehensive molecular analysis of 24 fresh frozen IBC biopsies naïve of treatment, using a high-resolution microarray platform The most common genes covered by copy number alterations included gains of MYC and MDM4, and losses affecting TP53 and RB1. MYC and MDM4 genes have been related to IBC aggressiveness, and MDM4 might also represent a new therapeutic target in IBC. Thirteen IBC cases presented copy-neutral of heterozygosity (cnLOH) or losses covering CHL1, which gives additional evidence of its role as a tumor suppressor. Functional enrichment analysis with the most common alterations revealed genes associated with inflammatory regulation and immune response. Particularly, IL6R and IL7 could represent therapeutic targets for IBC treatment. Chromothripsis patterns were identified in nine cases and chromosomal instability in 50% of cases. High homologous recombination (HR) deficiency scores were observed in triple-negative IBC and those with metastasis. High telomeric allelic imbalance (TAI) score was detected in patients having worse overall survival (OS). TAI score could also be useful to predict deficiency in homologous recombination (HR) genes and to identify patients for platinum or PARP inhibitor therapy. Our study describes the most common genomic alterations in IBC and their association with clinical findings, providing a framework for improved diagnosis and therapeutic opportunities for this aggressive tumor type.

2020-01-24 | GSE144015 | GEO

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Inflammatory Breast Cancer

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

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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.

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Microarray data from patients samples with triple negative breast cancer

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Expression data from human inflammatory breast cancer biopsy samples

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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. Genomic profiling of 20 inflammatory breast cancer (IBC), 20 non-IBC and 5 normal was studied.

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