McDyer, Fionnuala A.

TPS11120 Background: Currently there is no biomarker to predict specific benefit from DNA-damaging anthracycline and cyclophosphamide-based chemotherapy in the clinic. Loss of the Fanconi anemia/BRCA (FA/BRCA) DNA-damage response pathway occurs in approximately 25% of breast cancer and results in sensitivity to DNA-damaging agents. We therefore developed an assay to detect loss of the FA/BRCA pathway, for the purpose of predicting benefit from chemotherapy. Methods: 21 FA patient samples were analyzed to identify genetic processes associated with loss of the FA/BRCA pathway. Unsupervised hierarchical clustering was then performed using 60 BRCA1/2 mutant and 47 sporadic tumor samples and a molecular subgroup was identified that was defined by the molecular processes representing loss of the FA/BRCA pathway. A 44-gene DNA Damage response deficient (DDRD) assay was developed that could identify this subgroup from formalin fixed, paraffin embedded (FFPE) samples in the clinic. Results: In a publicly available independent cohort of 204 patients, the assay predicted response to neoadjuvant DNA-damaging chemotherapy (5-fluorouracil, anthracycline and cyclophosphamide) with an odds ratio of 4.01, (95% Cl:1.69-9.54). We also analysed samples from an independent cohort of 114 node-negative breast cancer patients treated with adjuvant 5-fluorouracil, epirubicin and cyclophosphamide treatment at the Northern Ireland Cancer Centre. The DDRD assay significantly predicted 5-year relapse free survival with a hazard ratio of 0.27 (95% Cl:0.10-0.83). The assay was not predictive of survival in patients who did not receive chemotherapy. Conclusions: An FFPE tissue-based assay that detects loss of the FA/BRCA pathway has been developed and independently validated as a predictor of response and prognosis following DNA damaging anthracycline/cyclophosphamide-based chemotherapy in the neoadjuvant and adjuvant settings.

Abstract Microarray gene expression profiling has facilitated identification of molecular subtypes which can be associated with disease outcome and treatment response. However current platforms lack disease focus, potentially missing vital information contained in patient tissue samples. Moreover, a wide range of FFPE sample cohorts are available but their use is limited by the mRNA degradation inherent to the sample fixation process. By combining the Breast Cancer DSA® with powerful data analysis methodology, we reproduced the five major molecular subtypes in breast cancer based on a cohort of 107 FFPE samples. Furthermore, we showed that the established subtypes do not extend to BRCA1 and BRCA2 mutant tumours, necessitating expansion of the original breast cancer subtypes definition. Following RMA pre-processing of the 107 raw profiles, the data was transformed to overcome the association between profile quality and expression variability. If left untreated, this technical variability, often observed with FFPE tissues, can impair the study of inherent biological variations. Using the intrinsic list of 277 genes previously identified as differentiating breast cancer subtypes in fresh frozen samples [Sorlie et al., 2003], initially the sporadic samples were examined using hierarchical agglomerative clustering. All five original subtypes were identified, verifying the ability to detect subtypes in FFPE samples using the breast cancer DSA®. When the intrinsic list was applied to all 107 samples including BRCA1 and BRCA2 mutant samples, the subtypes were still distinguishable, although 31% of the mutant tumors were unclassified suggesting that specific biological processes defining BRCA1/BRCA2 mutant tumours are not captured by the original breast cancer molecular classification. We have successfully overcome the limitation imposed by FFPE sample microarray profiling by using the Breast Cancer DSA® and advanced data manipulation and exploration to reproduce molecular subtypes previously identified using fresh frozen samples. Further investigation to extend the previously identifed subtypes will progress the investigation of the heterogeneous biology underlying breast cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 326. doi:10.1158/1538-7445.AM2011-326

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.