ArticleJournal of biological physics2016
Thermodynamic measures of cancer: Gibbs free energy and entropy of protein-protein interactions.
Article in Journal of biological physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Predicting cancer stages from tissue energy dissipation.Scientific reports · 2023Article
- Network potential identifies therapeutic miRNA cocktails in Ewing sarcoma.PLoS computational biology · 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
- Gibbs Free Energy Calculation of Mutation in PncA and RpsA Associated With Pyrazinamide Resistance.Frontiers in molecular biosciences · 2020Article
- Personalized therapy design for systemic lupus erythematosus based on the analysis of protein-protein interaction networks.PloS one · 2020Article
- Multi-Omic Data Interpretation to Repurpose Subtype Specific Drug Candidates for Breast Cancer.Frontiers in genetics · 2019Article
- Most high-grade neuroendocrine tumours of the lung are likely to secondarily develop from pre-existing carcinoids: innovative findings skipping the current pathogenesis paradigm.Virchows Archiv : an international journal of pathology · 2018Article
- Symmetry and symmetry breaking in cancer: a foundational approach to the cancer problem.Oncotarget · 2018Article
- Gibbs free energy as a measure of complexity correlates with time within C. elegans embryonic development.Journal of biological physics · 2017Article
- Personalized anticancer therapy selection using molecular landscape topology and thermodynamics.Oncotarget · 2017Article
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Authors and funding
4 authors.
Funding
Abstract
Thermodynamics is an important driving factor for chemical processes and for life. Earlier work has shown that each cancer has its own molecular signaling network that supports its life cycle and that different cancers have different thermodynamic entropies characterizing their signaling networks. The respective thermodynamic entropies correlate with 5-year survival for each cancer. We now show that by overlaying mRNA transcription data from a specific tumor type onto a human protein-protein interaction network, we can derive the Gibbs free energy for the specific cancer. The Gibbs free energy correlates with 5-year survival (Pearson correlation of -0.7181, p value of 0.0294). Using an expression relating entropy and Gibbs free energy to enthalpy, we derive an empirical relation for cancer network enthalpy. Combining this with previously published results, we now show a complete set of extensive thermodynamic properties and cancer type with 5-year survival.
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Registered trials
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