Abstract P6-04-02: Profiling of BRCA1 Mutated Breast Tumours Using a Breast Cancer Specific Microarray To Identify a Profile of BRCAl-Deficiency

Abstract

Abstract Background The BRCA 1 tumour suppressor gene is mutated in a significant proportion of hereditary breast cancer cases. Additionally, downregulation of BRCA1 mRNA and protein expression is reported in approximately one third of sporadic breast cancers. BRCA1 is strongly implicated in the maintenance of genomic stability by its involvement in multiple cellular pathways including: DNA damage signalling, DNA repair, cell cycle regulation, protein ubiquitination, chromatin remodelling, transcriptional regulation and apoptosis. To date, gene expression profiling has identified: (1) at least five breast cancer subtypes and (2) that BRCA1 mutant tumours segregate with basal-like breast cancers. These studies also provide evidence that breast cancers with germline mutations in BRCA1 are different from non BRCA1-related tumours. The main aim of this study is to investigate the underlying biology of BRCA1-mutated breast cancer. Methods Extensive gene expression profiling and data analysis were performed on a cohort of 70 FFPE (Formalin Fixed Paraffin Embedded) derived BRCA 1 mutated breast tumours and matched sporadic controls using the Almac Breast Cancer DSATM research tool. Functional analysis was performed with DAVID and METACORE. Validation of gene targets was performed by qRT-PCR and Western blotting. Results A list of differentially expressed transcripts has been derived from the comparison of these BRCA1 mutant breast tumours and matched sporadic controls. Functional analysis of this gene list has identified the key genes and molecular pathways that are deregulated in these tumours. BRCA1 deficiency was associated with deregulation of pathways involved in: (1) immune response, (2) metastasis and invasion, (3) cytoskeletal remodelling, (4) spindle assembly and chromosome separation, (5) apoptosis and survival. Validation of the key genes underlying this BRCA1-deficient breast cancer profile has been performed. Conclusions This approach has revealed a set of transcripts that could potentially be used to identify both hereditary and sporadic breast cancer patients with BRCA1- deficiency. The ability to perform gene expression profiling from FFPE derived breast tissue could also have significant clinical application. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P6-04-02.