Paul Harkin

The Colorectal cancer disease-specific transcriptome may facilitate the discovery of more biologically and clinically relevant information

BackgroundTo date, there are no clinically reliable predictive markers of response to the current treatment regimens for advanced colorectal cancer. The aim of the current study was to compare and assess the power of transcriptional profiling using a generic microarray and a disease-specific transcriptome-based microarray. We also examined the biological and clinical relevance of the disease-specific transcriptome.MethodsDNA microarray profiling was carried out on isogenic sensitive and 5-FU-resistant HCT116 colorectal cancer cell lines using the Affymetrix HG-U133 Plus2.0 array and the Almac Diagnostics Colorectal cancer disease specific Research tool. In addition, DNA microarray profiling was also carried out on pre-treatment metastatic colorectal cancer biopsies using the colorectal cancer disease specific Research tool. The two microarray platforms were compared based on detection of probesets and biological information.ResultsThe results demonstrated that the disease-specific transcriptome-based microarray was able to out-perform the generic genomic-based microarray on a number of levels including detection of transcripts and pathway analysis. In addition, the disease-specific microarray contains a high percentage of antisense transcripts and further analysis demonstrated that a number of these exist in sense:antisense pairs. Comparison between cell line models and metastatic CRC patient biopsies further demonstrated that a number of the identified sense:antisense pairs were also detected in CRC patient biopsies, suggesting potential clinical relevance.ConclusionsAnalysis from our in vitro and clinical experiments has demonstrated that many transcripts exist in sense:antisense pairs including IGF2BP2, which may have a direct regulatory function in the context of colorectal cancer. While the functional relevance of the antisense transcripts has been established by many studies, their functional role is currently unclear; however, the numbers that have been detected by the disease-specific microarray would suggest that they may be important regulatory transcripts. This study has demonstrated the power of a disease-specific transcriptome-based approach and highlighted the potential novel biologically and clinically relevant information that is gained when using such a methodology.

Abstract 326: Investigation of molecular subtypes within FFPE breast cancer tumors using the Breast Cancer DSA®

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 250: The critical requirement of ATM function in PTEN null cell lines

Introduction: The tumour suppressor PTEN is frequently lost in multiple cancer types, loss of PTEN function has been linked to activation of the AKT signalling pathway. The regulation of the AKT signalling has long been attributed as the key tumour suppressing function of PTEN. However, it has recently been demonstrated that PTEN null cells demonstrate genomic instability and require base excision repair (BER) for survival. One of the critical functions of BER is the repair of oxidative DNA damage; we postulated that PTEN might have a role in the maintenance of this form of damage. Additionally, we investigated which molecular pathways were involved in the response of this form of DNA damage in PTEN null cells. Results: Using isogenic cell lines we found an increased in baseline ROS levels according to PTEN status. Specifically the increase in ROS levels was correlated to an increase in the levels of double strand breaks as measured by levels of activated γH2AX, formation of γH2AX foci and activation of the DNA damage response kinase ATM. Furthermore, inhibition of ATM function both via siRNA knockdown and small molecule inhibition in PTEN null cells resulted in cell cycle arrest followed by apoptosis. Strikingly this dependence on ATM activity was independent of AKT activity, suggesting that the oxidative DNA damage was the result of a loss in PTEN function independent of its role in the regulation of the AKT activation. Conclusions: These observations suggest that PTEN may play a role in the maintenance of the repair of ROS DNA damage; furthermore it maybe postulated that inhibition of ATM maybe a suitable therapeutic intervention for PTEN null tumours. 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 250. doi:10.1158/1538-7445.AM2011-250

PD10-05: Identification of Novel BRCA1 Transcriptional Targets That Promote the Survival of BRCA1-Mutated Estrogen Receptor-a Negative (ER-ve) Breast Tumours.

Background: The BRCA1 tumour suppressor gene is mutated in the germline of women who are predisposed to developing breast cancer. Gene expression profiling has identified at least five different breast cancer subtypes with BRCA- mutated breast tumours clustering with triple negative breast cancers. The majority of BRCA1-mutated breast tumours are characterised as being negative for the estrogen receptor-α (ER-α), however, the underlying molecular biology of these tumours has not yet been fully determined. The aim of this study is to identify and characterise novel proliferation-associated BRCA1 target genes that are activated in BRCA1 mutated estrogen receptor negative (ER-ve) breast tumours. Methods: Gene expression profiling and data analysis was performed on a cohort of 46 FFPE (Formalin Fixed Paraffin Embedded) derived BRCA1 mutated (ER-ve) breast tumours and matched sporadic controls using the Almac Diagnostics Breast DSA research tool. Profiling was also performed on a panel of 15 breast cancer cell lines. Bioinformatics analysis was performed using Oncomine, DAVID and Metacore. High throughput siRNA screens using HiPerFect were performed on the Qiagen Flexiplate siRNA. Validation of gene targets was performed by qRT-PCR and ChIP assay. Clonogenic assays were performed to independently validate the effect of selected target genes on cell survival. Results: A list of differentially expressed transcripts was derived from the comparison of 23 (ER-ve) BRCA1 mutated breast tumours and 23 matched sporadic controls. A genome-wide ChIP-Chip promoter analysis was also performed in MCF7 breast cancer cells. By overlapping these two datasets, a list of tumour derived BRCA1 promoter bound target genes was identified. Functional analysis of this gene list has identified the main pathways and processes that are deregulated in BRCA1 mutated (ER-ve) breast cancer including: (1) immune response (2) induction of the epithelial to mesenchymal transition (EMT) (3) cell cycle regulation and (4) apoptosis and survival. Hierarchical clustering of these 46 breast tumours and 15 breast cancer cell lines was performed and the BRCA1 mutated (ER-ve) breast cancer cell lines (MDA436 and SUM149) were identified as those that best reflect the biology BRCA1 mutated (ER-ve) tumours. High throughput siRNA screening in these cell lines has identified a set of transcripts that when inhibited have a negative impact on cellular proliferation. Independent validation by qRT-PCR, ChIP assay, western blotting and clonogenic assays have confirmed HE4 (WFDC2) as a novel BRCA1 target gene that provides a growth advantage in BRCA1 mutated (ER-ve) breast cancer cells. Conclusions: Gene expression profiling of an extensive cohort of BRCA1 mutated (ER-ve) breast tumours and matched sporadic controls has identified a profile of BRCA1 mutated (ER-ve) breast cancer. This list has been further refined to generate a list of BRCA1 promoter bound transcriptional target genes. High throughout siRNA screening has revealed a panel of genes that are implicated in the proliferation of BRCA1 mutated (ER-ve) breast cancer. HE4 has been identified as a novel BRCA1 transcriptional target gene that promotes the survival of BRCA1 mutated (ER-ve) breast tumours. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr PD10-05.