ArticleGenome biology2012
A network module-based method for identifying cancer prognostic signatures.
Article in Genome biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
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Who cites it
83 citing papers in PubMed, 163 citations in OpenAlex.
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- Identification of Diagnostic and Prognostic Subnetwork Biomarkers for Women with Breast Cancer Using Integrative Genomic and Network-Based Analysis.International journal of molecular sciences · 2024Article
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- Large-scale regulatory and signaling network assembly through linked open data.Database : the journal of biological databases and curation · 2021Article
- GVES: machine learning model for identification of prognostic genes with a small dataset.Scientific reports · 2021Article
- Network Properties of Cancer Prognostic Gene Signatures in the Human Protein Interactome.Genes · 2020Article
- A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma.BMC bioinformatics · 2020Article
- Regulostat Inferelator: a novel network biology platform to uncover molecular devices that predetermine cellular response phenotypes.Nucleic acids research · 2019Article
- Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types.RNA biology · 2019Article
- Label propagation defines signaling networks associated with recurrently mutated cancer genes.Scientific reports · 2019Article
- Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.Endocrine-related cancer · 2019Review
- A data-driven interactome of synergistic genes improves network-based cancer outcome prediction.PLoS computational biology · 2019Article
23 more citing papers are in PubMed but not listed here.
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
Discovering robust prognostic gene signatures as biomarkers using genomics data can be challenging. We have developed a simple but efficient method for discovering prognostic biomarkers in cancer gene expression data sets using modules derived from a highly reliable gene functional interaction network. When applied to breast cancer, we discover a novel 31-gene signature associated with patient survival. The signature replicates across 5 independent gene expression studies, and outperforms 48 published gene signatures. When applied to ovarian cancer, the algorithm identifies a 75-gene signature associated with patient survival. A Cytoscape plugin implementation of the signature discovery method is available at http://wiki.reactome.org/index.php/Reactome_FI_Cytoscape_Plugin.
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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.