Detecting Cancer Outlier Genes with Potential Rearrangement Using Gene Expression Data and Biological Networks

Gene alterations are a major component of the landscape of tumor genomes. To assess the significance of these alterations in the development of prostate cancer, it is necessary to identify these alterations and analyze them from systems biology perspective. Here, we present a new method (EigFusion)...

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Bibliographic Details
Published in:Advances in Bioinformatics 2012, Vol.2012 (2012), p.79-91
Main Authors: Alshalalfa, Mohammed, Bismar, Tarek A., Alhajj, Reda
Format: Article
Language:English
Subjects:
Algorithms
Biomarkers
BRCA1 protein
Colleges & universities
Deoxyribonucleic acid
DNA
Gene amplification
Gene expression
Genetics
Genomics
Leukemia
Methods
Proteins
Survival analysis
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Summary:Gene alterations are a major component of the landscape of tumor genomes. To assess the significance of these alterations in the development of prostate cancer, it is necessary to identify these alterations and analyze them from systems biology perspective. Here, we present a new method (EigFusion) for predicting outlier genes with potential gene rearrangement. EigFusion demonstrated excellent performance in identifying outlier genes with potential rearrangement by testing it to synthetic and real data to evaluate performance. EigFusion was able to identify previously unrecognized genes such as FABP5 and KCNH8 and confirmed their association with primary and metastatic prostate samples while confirmed the metastatic specificity for other genes such as PAH, TOP2A, and SPINK1. We performed protein network based approaches to analyze the network context of potential rearranged genes. Functional gene rearrangement Modules are constructed by integrating functional protein networks. Rearranged genes showed to be highly connected to well-known altered genes in cancer such as AR, RB1, MYC, and BRCA1. Finally, using clinical outcome data of prostate cancer patients, potential rearranged genes demonstrated significant association with prostate cancer specific death.
ISSN:1687-8027
1687-8035
DOI:10.1155/2012/373506