Background

Metabolite profiling research offers a deeper insight into biochemical changes in cancer metabolism. Moreover the integrated analysis of transcription, metabolomics and proteomics data can improve the understanding of the underlying biological processes.Material and Methods

A set of 254 metabolites was determined by gas chromatography/liquid chromatography-mass spectrometry in matched malignant and non-malignant prostatectomy samples from 95 prostate cancer (PCa) patients. Transcription profiling data obtained from 15 PCa patients by means of Affymetrix U133 arrays was analysed together with public GEO expression data. Expression levels of selected proteins were determined by means of immunohistochemistry and tissue micro array technology in 41 matched frozen tissue samples.

The association with clinicopathological variables and clinical outcome was tested. Transcription and metabolomics data were statistically analysed (ANOVA, Mann-Whitney U test) and significant differentially regulated metabolites/genes/proteins were selected.Results

Differentially regulated metabolites/genes discrimination between malignant and non-malignant tissues was used for network analysis. Enriched pathways which are involved in PCa progression or recurrence such as carbohydrate and fatty acid metabolism were identified. The role of fatty acid metabolism in PCa was analysed in more detail. Several fatty acids such as cerebronic acid, 2-hydroxybehenic acid, tricosanoic acid showed higher concentrations in malignant than in non-malignant tissues. This finding is in concordance to the observed higher mRNA and protein expression level of fatty acid synthase (FASN) in PCa. In contrast to normal prostate tissue, where protein expression level of FASN was correlated to the level of measured metabolites we found in malignant tissues a deregulation of the corresponding pathway. Conclusion

Our integrated analysis of transcription, metabolite and proteomics data confirms and extends the role of several biological pathways which are involved in PCa progression

Citation Format: Ulrike Rennefahrt, Hellmuth-A. Meyer, Beate Kamlage, Regina Reszka, Philipp Schatz, Carsten Stephan, Klaus Jung, Dimo Dietrich, Glen Kristiansen. Prostate cancer: An integrated evaluation of metabolomics, transcriptomics, and proteomics expression data. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1415. doi:10.1158/1538-7445.AM2014-1415