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Open Access Highly Accessed Research article

Analyzing the regulation of metabolic pathways in human breast cancer

Gunnar Schramm1, Eva-Maria Surmann1, Stefan Wiesberg2, Marcus Oswald2, Gerhard Reinelt2, Roland Eils13* and Rainer König1*

Author affiliations

1 Department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, and Bioquant, University of Heidelberg, INF 267, 69120 Heidelberg, Germany

2 Interdisciplinary Center for Scientific Computing, University of Heidelberg, 69120 Heidelberg, Germany

3 Theoretical Bioinformatics, German Cancer Research Center, INF 580, 69121 Heidelberg, Germany

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Citation and License

BMC Medical Genomics 2010, 3:39  doi:10.1186/1755-8794-3-39

Published: 10 September 2010

Abstract

Background

Tumor therapy mainly attacks the metabolism to interfere the tumor's anabolism and signaling of proliferative second messengers. However, the metabolic demands of different cancers are very heterogeneous and depend on their origin of tissue, age, gender and other clinical parameters. We investigated tumor specific regulation in the metabolism of breast cancer.

Methods

For this, we mapped gene expression data from microarrays onto the corresponding enzymes and their metabolic reaction network. We used Haar Wavelet transforms on optimally arranged grid representations of metabolic pathways as a pattern recognition method to detect orchestrated regulation of neighboring enzymes in the network. Significant combined expression patterns were used to select metabolic pathways showing shifted regulation of the aggressive tumors.

Results

Besides up-regulation for energy production and nucleotide anabolism, we found an interesting cellular switch in the interplay of biosynthesis of steroids and bile acids. The biosynthesis of steroids was up-regulated for estrogen synthesis which is needed for proliferative signaling in breast cancer. In turn, the decomposition of steroid precursors was blocked by down-regulation of the bile acid pathway.

Conclusion

We applied an intelligent pattern recognition method for analyzing the regulation of metabolism and elucidated substantial regulation of human breast cancer at the interplay of cholesterol biosynthesis and bile acid metabolism pointing to specific breast cancer treatment.