Biological functions of the genes in the mammaprint breast cancer profile reflect the hallmarks of cancer
- PMID: 21151591
- PMCID: PMC2999994
- DOI: 10.4137/BMI.S6184
Biological functions of the genes in the mammaprint breast cancer profile reflect the hallmarks of cancer
Abstract
Background: MammaPrint was developed as a diagnostic tool to predict risk of breast cancer metastasis using the expression of 70 genes. To better understand the tumor biology assessed by MammaPrint, we interpreted the biological functions of the 70-genes and showed how the genes reflect the six hallmarks of cancer as defined by Hanahan and Weinberg.
Results: We used a bottom-up system biology approach to elucidate how the cellular processes reflected by the 70-genes work together to regulate tumor activities and progression. The biological functions of the genes were analyzed using literature research and several bioinformatics tools. Protein-protein interaction network analyses indicated that the 70-genes form highly interconnected networks and that their expression levels are regulated by key tumorigenesis related genes such as TP53, RB1, MYC, JUN and CDKN2A. The biological functions of the genes could be associated with the essential steps necessary for tumor progression and metastasis, and cover the six well-defined hallmarks of cancer, reflecting the acquired malignant characteristics of a cancer cell along with tumor progression and metastasis-related biological activities.
Conclusion: Genes in the MammaPrint gene signature comprehensively measure the six hallmarks of cancer-related biology. This finding establishes a link between a molecular signature and the underlying molecular mechanisms of tumor cell progression and metastasis.
Keywords: bioinformatics; breast cancer; functional annotation; gene signature; tumor biology.
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References
-
- van de Vijver MJ, He YD, van’t Veer LJ, Dai H, Hart AA, Voskuil DW, et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med. 2002;347:1999–2009. - PubMed
-
- van’t Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–6. - PubMed
-
- de Snoo F, Bender R, Glas A, Rutgers E. Gene expression profiling: decoding breast cancer. Surg Oncol. 2009;18:366–78. - PubMed
-
- Glas AM, Delahaye LJ, Krijgsman O. MammaPrint® Translating Research into a Diagnostic Test. In: Jorgensen JT, Winther H, editors. Molecular Diagnostics: The Key Driver in Personalized Cancer Medicine. Pan Stanford Publishing; 2010.
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