ArticlePloS one2014
S-score: a scoring system for the identification and prioritization of predicted cancer genes.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Integrative analysis of lung adenocarcinoma across diverse ethnicities and exposures.Cancer cell · 2025Article
- Genome-wide identification of cancer/testis genes and their association with prognosis in a pan-cancer analysis.Oncotarget · 2017Article
- A genetic network that suppresses genome rearrangements in Saccharomyces cerevisiae and contains defects in cancers.Nature communications · 2016Article
- Bioinformatics Analysis of the Human Surfaceome Reveals New Targets for a Variety of Tumor Types.International journal of genomics · 2016Article
- Insights into immune responses in oral cancer through proteomic analysis of saliva and salivary extracellular vesicles.Scientific reports · 2015Article
- A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data.Cancer informatics · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
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