ArticleProceedings of the National Academy of Sciences of the United States of America2012
Molecular signaling network complexity is correlated with cancer patient survivability.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.
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Who cites it
53 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Clinical utility of microRNA-378 as early diagnostic biomarker of human cancers: a meta-analysis of diagnostic test.Oncotarget · 2016Pooled it
- The clinical utility of microRNA-21 as novel biomarker for diagnosing human cancers.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015Pooled it
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- Sample-specific network analysis identifies gene co-expression patterns of immunotherapy response in clear cell renal cell carcinoma.iScience · 2025Article
- Network pharmacology: Changes the treatment mode of "one disease-one target" in cancer treatment.World journal of gastrointestinal oncology · 2025Article
- Cancer Cell's Achilles Heels: Considerations for Design of Anti-Cancer Drug Combinations.International journal of molecular sciences · 2024Article
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- A Data Science Approach for the Identification of Molecular Signatures of Aggressive Cancers.Cancers · 2022Article
- A phylogenetic review of cancer resistance highlights evolutionary solutions to Peto's Paradox.Genetics and molecular biology · 2022Article
- The topology of data: opportunities for cancer research.Bioinformatics (Oxford, England) · 2021Article
- Enhanced Directed Random Walk for the Identification of Breast Cancer Prognostic Markers from Multiclass Expression Data.Entropy (Basel, Switzerland) · 2021Article
- Novel gene signatures for stage classification of the squamous cell carcinoma of the lung.Scientific reports · 2021Article
- Network theoretic analysis of JAK/STAT pathway and extrapolation to drugs and viruses including COVID-19.Scientific reports · 2021Article
- Galaxy and MEAN Stack to Create a User-Friendly Workflow for the Rational Optimization of Cancer Chemotherapy.Frontiers in genetics · 2021Article
- Using the Gibbs Function as a Measure of Human Brain Development Trends from Fetal Stage to Advanced Age.International journal of molecular sciences · 2020Article
- Modeling Basins of Attraction for Breast Cancer Using Hopfield Networks.Frontiers in genetics · 2020Article
- Personalized therapy design for systemic lupus erythematosus based on the analysis of protein-protein interaction networks.PloS one · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The 5-y survival for cancer patients after diagnosis and treatment is strongly dependent on tumor type. Prostate cancer patients have a >99% chance of survival past 5 y after diagnosis, and pancreatic patients have <6% chance of survival past 5 y. Because each cancer type has its own molecular signaling network, we asked if there are "signatures" embedded in these networks that inform us as to the 5-y survival. In other words, are there statistical metrics of the network that correlate with survival? Furthermore, if there are, can such signatures provide clues to selecting new therapeutic targets? From the Kyoto Encyclopedia of Genes and Genomes Cancer Pathway database we computed several conventional and some less conventional network statistics. In particular we found a correlation (R(2) = 0.7) between degree-entropy and 5-y survival based on the Surveillance Epidemiology and End Results database. This correlation suggests that cancers that have a more complex molecular pathway are more refractory than those with less complex molecular pathway. We also found potential new molecular targets for drugs by computing the betweenness--a statistical metric of the centrality of a node--for the molecular networks.
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