Abstract P6-08-05: Protein tyrosine kinase activity and miRNA expression profiling reveals differences according to progesterone-receptor-status in HER-2 negative breast cancer

Background: Kinases are considered as promising source of biomarkers for diagnostic, prognostic and therapeutic purposes in cancer patients. We assessed tyrosine kinase activity in 39 primary breast cancer samples that were all hormone receptor positive (ER+ and/or PR+) with differential HER-2 status, using microarray technology. Methods: Pamchip® peptide microarrays were used to measure the activity of protein tyrosine kinases in 32 breast cancer samples. The breast cancer cell lines MCF-7, BT474 and ZR75-1, was studied for kinase activity, both untreated and treated with estradiol. Results: Results showed differences in phosphorylation amongst breast cancer samples. A total of 37 peptide kinases were highly phosphorylated in a group of breast cancer samples representing 33 protein tyrosine kinases involved in cancer pathways and immunological responses. In vitro studies with breast cancer cell lines exhibited the same phosphorylation profiles, but increased phosphorylation was only observed in one cell line, ZR75-1. Eliminating HER-2 positive samples, we obtained differences in phosphorylation profiles based on PR-status only. Samples lacking PR-expression exhibited higher kinase activity of downstream kinases compared to PR-positive samples. Similar results were obtained with miRNA expression profiles of 31 breast cancer samples. Five miRNAs were identified to be significantly differentially expressed (p < 0.05) between PR-negative and PR-positive samples. This effect was even stronger when eliminating HER-2 positive samples, with 13 miRNAs exhibiting significant differential expression based on PR-status. Conclusion: Although our data are based on a small dataset, the lack of PR expression seems to have a profound effect on tyrosine kinase activity and miRNA expression in HER-2 negative breast cancers without any effect on gene expression. This indicates that regulatory and functional molecules might exhibit phenotypical features of cancer that cannot be explained by gene expression alone.

Citation Format: Tahiri A, Satheesh SV, de Wijn R, Lders T, Aure MR, Quigley DA, Bukholm IR, Hurtado A, Kristensen VN, Geisler J. Protein tyrosine kinase activity and miRNA expression profiling reveals differences according to progesterone-receptor-status in HER-2 negative breast cancer. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-08-05.

Interleukin-8 is the single most up-regulated gene in whole genome profiling of H. pylori exposed gastric epithelial cells

BACKGROUND

The association between Helicobacter pylori infection and upper gastrointestinal disease is well established. However, only a small fraction of H. pylori carriers develop disease, and there are great geographical differences in disease penetrance. The explanation to this enigma lies in the interaction between the bacterium and the host. H. pylori Outer Membrane Phospholipase A (OMPLA) has been suggested to play a role in the virulence of this bacterium. The aim of this study was to profile the most significant cellular pathways and biological processes affected in gastric epithelial cells during 24 h of H. pylori exposure, and to study the inflammatory response to OMPLA⁺ and OMPLA⁻ H. pylori variants.

RESULTS

Interleukin-8 was the most significantly up-regulated gene and appears to play a paramount role in the epithelial cell response to H. pylori infection and in the pathological processes leading to gastric disease. MAPK and NF-kappaB cellular pathways were powerfully activated, but did not seem to explain the impressive IL-8 response. There was marked up-regulation of TP53BP2, whose corresponding protein ASPP2 may interact with H. pylori CagA and cause marked p53 suppression of apoptosis. Other regulators of apoptosis also showed abberant regulation. We also identified up-regulation of several oncogenes and down-regulation of tumor suppressor genes as early as during the first 24 h of infection. H. pylori OMPLA phase variation did not seem to influence the inflammatory epithelial cell gene response in this experiment.

CONCLUSION

In whole genome analysis of the epithelial response to H. pylori exposure, IL-8 demonstrated the most marked up-regulation, and was involved in many of the most important cellular response processes to the infection. There was dysregulation of apoptosis, tumor suppressor genes and oncogenes as early as in the first 24 h of H. pylori infection, which may represent early signs of gastric tumorigenesis. OMPLA⁺/⁻ did not affect the acute inflammatory response to H. pylori.

TP53 mutation status and gene expression profiles are powerful prognostic markers of breast cancer

Introduction

Gene expression profiling of breast carcinomas has increased our understanding of the heterogeneous biology of this disease and promises to impact clinical care. The aim of this study was to evaluate the prognostic value of gene expression-based classification along with established prognostic markers and mutation status of the TP53 gene (tumour protein p53) in a group of breast cancer patients with long-term (12 to 16 years) follow-up.

Methods

The clinical and histopathological parameters of 200 breast cancer patients were studied for their effects on clinical outcome using univariate/multivariate Cox regression. The prognostic impact of mutations in the TP53 gene, identified using temporal temperature gradient gel electrophoresis and sequencing, was also evaluated. Eighty of the samples were analyzed for gene expression using 42 K cDNA microarrays and the patients were assigned to five previously defined molecular expression groups. The strength of the gene expression based classification versus standard markers was evaluated by adding this variable to the Cox regression model used to analyze all samples.

Results

Both univariate and multivariate analysis showed that TP53 mutation status, tumor size and lymph node status were the strongest predictors of breast cancer survival for the whole group of patients. Analyses of the patients with gene expression data showed that TP53 mutation status, gene expression based classification, tumor size and lymph node status were significant predictors of survival. Breast cancer cases in the 'basal-like' and 'ERBB2⁺' gene expression subgroups had a very high mortality the first two years, while the 'highly proliferating luminal' cases developed the disease more slowly, showing highest mortality after 5 to 8 years. The TP53 mutation status showed strong association with the 'basal-like' and 'ERBB2⁺' subgroups, and tumors with mutation had a characteristic gene expression pattern.

Conclusion

TP53 mutation status and gene-expression based groups are important survival markers of breast cancer, and these molecular markers may provide prognostic information that complements clinical variables. The study adds experience and knowledge to an ongoing characterization and classification of the disease.

Discovery and validation of breast cancer subtypes

Background

Previous studies demonstrated breast cancer tumor tissue samples could be classified into different subtypes based upon DNA microarray profiles. The most recent study presented evidence for the existence of five different subtypes: normal breast-like, basal, luminal A, luminal B, and ERBB2⁺.

Results

Based upon the analysis of 599 microarrays (five separate cDNA microarray datasets) using a novel approach, we present evidence in support of the most consistently identifiable subtypes of breast cancer tumor tissue microarrays being: ESR1⁺/ERBB2^-, ESR1^-/ERBB2^-, and ERBB2⁺ (collectively called the ESR1/ERBB2 subtypes). We validate all three subtypes statistically and show the subtype to which a sample belongs is a significant predictor of overall survival and distant-metastasis free probability.

Conclusion

As a consequence of the statistical validation procedure we have a set of centroids which can be applied to any microarray (indexed by UniGene Cluster ID) to classify it to one of the ESR1/ERBB2 subtypes. Moreover, the method used to define the ESR1/ERBB2 subtypes is not specific to the disease. The method can be used to identify subtypes in any disease for which there are at least two independent microarray datasets of disease samples.

Over-expression of cyclin A is highly associated with early relapse and reduced survival in patients with primary breast carcinomas

Progression through the mammalian cell cycle is facilitated by cyclin-cyclin-dependent kinase (cdk) complexes, which are activated at specific points during the cell cycle. Alteration in cyclin-cdk complexess may lead to altered cell cycle and tumorigenesis. In this study, we analyzed expression of cyclins A, D1, D3 and E in tumor tissue from 170 patients with primary invasive breast carcinomas. Immunohistochemical methods were used to detect protein expression of these cyclins. We detected positive immunoreactivity in 55 (32%), 22 (13%), 38 (22%) and 37 (21.8%) of the samples for cyclins A, D1, D3 and E, respectively. A highly statistically significant association was observed between expression of cyclin A and early relapse (p = 0.001 univariate analysis, p = 0.006 multivariate analysis) as well as cancer-specific death (p < 0.0001) during the follow-up time. No association was observed between cyclin D1 or cyclin E, respectively, and relapse of disease or survival, while cyclin D3 over-expression was associated with development of metastases during follow-up (p = 0.005 univariate analysis, p = 0.01 multivariate analysis). However, cyclin D3 did not show any statistically significant association when cancer-specific death was examined in a multivariate analysis (Cox regression for survival function).