ArticleScientific reports2012
Differential network entropy reveals cancer system hallmarks.
Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.
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Who cites it
88 citing papers in PubMed, 1 synthesis or guideline pooled it.
- β-Catenin is central to DUX4-driven network rewiring in facioscapulohumeral muscular dystrophy.Journal of the Royal Society, Interface · 2015Pooled it
- Time-Resolved Network Entropy Analysis Identifies a CTNND1-VAV3 Subnetwork in Gefitinib-Resistant NSCLC.International journal of molecular sciences · 2026Article
- Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects.iMeta · 2026Review
- scRDEN: single-cell dynamic gene rank differential expression network and robust trajectory inference.Scientific reports · 2025Article
- Robust signalling entropy estimation for biological process characterisation.Briefings in bioinformatics · 2025Article
- How Does Cancer Occur? How Should It Be Treated? Treatment from the Perspective of Alkalization Therapy Based on Science-Based Medicine.Biomedicines · 2024Review
- Network analysis to identify driver genes and combination drugs in brain cancer.Scientific reports · 2024Article
- Charting cellular differentiation trajectories with Ricci flow.Nature communications · 2024Article
- Network-level analysis of ageing and its relationship with diseases and tissue regeneration in the mouse liver.Scientific reports · 2023Article
- Epigenetics as a mediator of plasticity in cancer.Science (New York, N.Y.) · 2023Review
- Analysis of Variance of Multiple Causal Networks.Advances in neural information processing systems · 2023Article
- Cell Adaptive Fitness and Cancer Evolutionary Dynamics.Cancer informatics · 2023Article
- The maximum entropy principle for compositional data.BMC bioinformatics · 2022Article
- Characterizing the variation in chromosome structure ensembles in the context of the nuclear microenvironment.PLoS computational biology · 2022Article
- Entropy Perspectives of Molecular and Evolutionary Biology.International journal of molecular sciences · 2022Review
- Adapt to Persist: Glioblastoma Microenvironment and Epigenetic Regulation on Cell Plasticity.Biology · 2022Review
- Bakry-Émery Ricci Curvature Bounds for Doubly Warped Products of Weighted Spaces.Journal of geometric analysis · 2022Article
- A Network-Guided Approach to Discover Phytochemical-Based Anticancer Therapy: Targeting MARK4 for Hepatocellular Carcinoma.Frontiers in oncology · 2022Article
- Pan-cancer network disorders revealed by overall and local signaling entropy.Journal of molecular cell biology · 2021Article
- Network-based protein-protein interaction prediction method maps perturbations of cancer interactome.PLoS genetics · 2021Article
28 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cellular phenotype is described by a complex network of molecular interactions. Elucidating network properties that distinguish disease from the healthy cellular state is therefore of critical importance for gaining systems-level insights into disease mechanisms and ultimately for developing improved therapies. By integrating gene expression data with a protein interaction network we here demonstrate that cancer cells are characterised by an increase in network entropy. In addition, we formally demonstrate that gene expression differences between normal and cancer tissue are anticorrelated with local network entropy changes, thus providing a systemic link between gene expression changes at the nodes and their local correlation patterns. In particular, we find that genes which drive cell-proliferation in cancer cells and which often encode oncogenes are associated with reductions in network entropy. These findings may have potential implications for identifying novel drug targets.
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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.