Title |
S-Score: A Scoring System for the Identification and Prioritization of Predicted Cancer Genes
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Published in |
PLOS ONE, April 2014
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DOI | 10.1371/journal.pone.0094147 |
Pubmed ID | |
Authors |
Jorge E. S. de Souza, André F. Fonseca, Renan Valieris, Dirce M. Carraro, Jean Y. J. Wang, Richard D. Kolodner, Sandro J. de Souza |
Abstract |
A new method, which allows for the identification and prioritization of predicted cancer genes for future analysis, is presented. This method generates a gene-specific score called the "S-Score" by incorporating data from different types of analysis including mutation screening, methylation status, copy-number variation and expression profiling. The method was applied to the data from The Cancer Genome Atlas and allowed the identification of known and potentially new oncogenes and tumor suppressors associated with different clinical features including shortest term of survival in ovarian cancer patients and hormonal subtypes in breast cancer patients. Furthermore, for the first time a genome-wide search for genes that behave as oncogenes and tumor suppressors in different tumor types was performed. We envisage that the S-score can be used as a standard method for the identification and prioritization of cancer genes for follow-up studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 2 | 5% |
United States | 1 | 3% |
Unknown | 37 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 9 | 23% |
Researcher | 9 | 23% |
Student > Master | 5 | 13% |
Professor > Associate Professor | 4 | 10% |
Professor | 3 | 8% |
Other | 7 | 18% |
Unknown | 3 | 8% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 16 | 40% |
Biochemistry, Genetics and Molecular Biology | 11 | 28% |
Computer Science | 5 | 13% |
Medicine and Dentistry | 2 | 5% |
Mathematics | 1 | 3% |
Other | 0 | 0% |
Unknown | 5 | 13% |