Osteosarcoma gene prioritization through combined bioinformatics analysis
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Mol2Net
Abstract
Osteosarcoma (OS) is a rare genetic disease that represents 20% of all types of malignant and benign neoplasms of the bone,
and 2% of pediatric cancers. Therefore, our aim in this study is to generate a consensus gene list associated with the
pathogenicity of OS by using several theoretical approaches that let to propose new drivers associated to this sarcoma, and
also possible biomarkers. Firstly, we evaluated the consensus between 9 prioritization strategies to early determine pathogenic
genes related to OS. From these genes, we performed a communality analysis in the protein-protein interaction network
further enrichment analysis. The consensus prioritized gene list consisted of 1295 genes. Our results revealed that consensus
strategy proposes genes related to control in the cell cycle that describe the etiology of cancer in general, and prioritizes not
only suppressors already described for OS such as RB1 and TP53, but also postulates new candidates that would help to
describe its pathogenesis.
Description
Keywords
Consensus analysis, Gene periodization, Osteosarcoma, Communality analysis
Citation
Cabrera-Andrade, A., López-Cortés, A., Paz-y-Miño, C., Barigye, S. J., Pérez-Castillo, Y., Munteanu, C. R., & Tejera, E. Osteosarcoma gene prioritization through combined bioinformatics analysis.doi: 10.3390/mol2net-03-04605