ArticleGenome biology2013
Integrated analysis of recurrent properties of cancer genes to identify novel drivers.
Article in Genome biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 40 citations in OpenAlex.
- Review
- WMDS.net: a network control framework for identifying key players in transcriptome programs.Bioinformatics (Oxford, England) · 2023Article
- Comparative assessment of genes driving cancer and somatic evolution in non-cancer tissues: an update of the Network of Cancer Genes (NCG) resource.Genome biology · 2022Review
- Pan-cancer detection of driver genes at the single-patient resolution.Genome medicine · 2021Article
- Unveiling the gene regulatory landscape in diseases through the identification of DNase I-hypersensitive sites.Biomedical reports · 2019Article
- Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma.Nature communications · 2019Article
- Network-based integrated analysis of omics data reveal novel players of TGF-β1-induced EMT in human peritoneal mesothelial cells.Scientific reports · 2019Article
- Article
- The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens.Genome biology · 2019Article
- Epigenetically Silenced Candidate Tumor Suppressor Genes in Prostate Cancer: Identified by Modeling Methylation Stratification and Applied to Progression Prediction.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019Article
- Identifying DNase I hypersensitive sites as driver distal regulatory elements in breast cancer.Nature communications · 2017Article
- Computational Methods for Characterizing Cancer Mutational Heterogeneity.Frontiers in genetics · 2017Review
- The RNA-binding protein LARP4 regulates cancer cell migration and invasion.Cytoskeleton (Hoboken, N.J.) · 2016Article
- Long genes and genes with multiple splice variants are enriched in pathways linked to cancer and other multigenic diseases.BMC genomics · 2016Article
- NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings.Nucleic acids research · 2016Article
- A Dual Model for Prioritizing Cancer Mutations in the Non-coding Genome Based on Germline and Somatic Events.PLoS computational biology · 2015Article
- Systematic analysis of somatic mutations impacting gene expression in 12 tumour types.Nature communications · 2015Article
- A novel somatic mutation in ACD induces telomere lengthening and apoptosis resistance in leukemia cells.BMC cancer · 2015Article
- Evaluation and integration of cancer gene classifiers: identification and ranking of plausible drivers.Scientific reports · 2015Article
- DawnRank: discovering personalized driver genes in cancer.Genome medicine · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The heterogeneity of cancer genomes in terms of acquired mutations complicates the identification of genes whose modification may exert a driver role in tumorigenesis. In this study, we present a novel method that integrates expression profiles, mutation effects, and systemic properties of mutated genes to identify novel cancer drivers. We applied our method to ovarian cancer samples and were able to identify putative drivers in the majority of carcinomas without mutations in known cancer genes, thus suggesting that it can be used as a complementary approach to find rare driver mutations that cannot be detected using frequency-based approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.