ArticleMolecular & cellular proteomics : MCP2010
Network-based Identification of novel cancer genes.
Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- RWDisEnh+: Enhancing disease-enhancer association prediction through multiplex-heterogeneous networks.PloS one · 2026Article
- Exploring the role of the Rab network in epithelial-to-mesenchymal transition.Bioinformatics advances · 2025Article
- AlzGenPred - CatBoost-based gene classifier for predicting Alzheimer's disease using high-throughput sequencing data.Scientific reports · 2024Article
- Identification of risk genes for Alzheimer's disease by gene embedding.Cell genomics · 2022Article
- Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types.BMC bioinformatics · 2022Article
- Cancer Relevance of Human Genes.Journal of the National Cancer Institute · 2022Article
- Article
- A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases.Journal of integrative bioinformatics · 2019Review
- Identification of an early diagnostic biomarker of lung adenocarcinoma based on co-expression similarity and construction of a diagnostic model.Journal of translational medicine · 2018Article
- Cancer subtype identification using somatic mutation data.British journal of cancer · 2018Article
- A large-scale benchmark of gene prioritization methods.Scientific reports · 2017Article
- GenePANDA-a novel network-based gene prioritizing tool for complex diseases.Scientific reports · 2017Article
- Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes.BMC genomics · 2016Article
- Identification of ULK1 as a novel biomarker involved in miR-4487 and miR-595 regulation in neuroblastoma SH-SY5Y cell autophagy.Scientific reports · 2015Article
- Network-based analysis identifies epigenetic biomarkers of esophageal squamous cell carcinoma progression.Bioinformatics (Oxford, England) · 2014Article
- Network analysis in the identification of special mechanisms between small cell lung cancer and non-small cell lung cancer.Thoracic cancer · 2014Article
- Network-based identification of key proteins involved in apoptosis and cell cycle regulation.Cell proliferation · 2014Article
- Identification of novel kinase inhibitors by targeting a kinase-related apoptotic protein-protein interaction network in HeLa cells.Cell proliferation · 2014Article
- Text mining in cancer gene and pathway prioritization.Cancer informatics · 2014Review
- Network based integrated analysis of phenotype-genotype data for prioritization of candidate symptom genes.BioMed research international · 2014Article
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3 authors.
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Abstract
Genes involved in cancer susceptibility and progression can serve as templates for searching protein networks for novel cancer genes. To this end, we introduce a general network searching method, MaxLink, and apply it to find and rank cancer gene candidates by their connectivity to known cancer genes. Using a comprehensive protein interaction network, we searched for genes connected to known cancer genes. First, we compiled a new set of 812 genes involved in cancer, more than twice the number in the Cancer Gene Census. Their network neighbors were then extracted. This candidate list was refined by selecting genes with unexpectedly high levels of connectivity to cancer genes and without previous association to cancer. This produced a list of 1891 new cancer candidates with up to 55 connections to known cancer genes. We validated our method by cross-validation, Gene Ontology term bias, and differential expression in cancer versus normal tissue. An example novel cancer gene candidate is presented with detailed analysis of the local network and neighbor annotation. Our study provides a ranked list of high priority targets for further studies in cancer research. Supplemental material is included.
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