ArticleIn silico biology
Identification of common tumor signatures based on gene set enrichment analysis.
Article in In silico biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Effects of cell-cell crosstalk on gene expression patterns in a cell model of renal cell carcinoma lung metastasis.International journal of oncology · 2018Article
- Meta-analysis approaches to combine multiple gene set enrichment studies.Statistics in medicine · 2018Article
- Integrative gene set enrichment analysis utilizing isoform-specific expression.Genetic epidemiology · 2017Article
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1 author.
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Abstract
The identification of common tumor signatures can discover the shared molecular mechanisms underlying tumorgenesis whereby we can prevent and treat tumors by a system intervention. We identified tumor-associated signatures including pathways, transcription factors, microRNAs and gene ontology categories by analyzing gene sets for differential expression between normal vs. tumor phenotypes classes in various tumor gene expression datasets. We obtained the common tumor signatures based on their identified frequencies for different tumor types. Some shared signatures important for various tumor types were uncovered and discussed. We proposed that the interventions aiming at both the shared tumor signatures and the tissue-specific tumor signatures might be a potential approach to overcoming cancer.
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