Literature DB >> 27012959

Thermodynamic measures of cancer: Gibbs free energy and entropy of protein-protein interactions.

Edward A Rietman1, John Platig2,3, Jack A Tuszynski4,5, Giannoula Lakka Klement6,7,8.   

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.

Entities:  

Keywords:  5-year survival; Cancer; Entropy; Gibbs free energy; Protein-protein interactions; Signaling networks

Mesh:

Substances:

Year:  2016        PMID: 27012959      PMCID: PMC4942417          DOI: 10.1007/s10867-016-9410-y

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  33 in total

Review 1.  Thermodynamics and bioenergetics.

Authors:  Y Demirel; S I Sandler
Journal:  Biophys Chem       Date:  2002-06-19       Impact factor: 2.352

2.  Gene expression profiling of gliomas strongly predicts survival.

Authors:  William A Freije; F Edmundo Castro-Vargas; Zixing Fang; Steve Horvath; Timothy Cloughesy; Linda M Liau; Paul S Mischel; Stanley F Nelson
Journal:  Cancer Res       Date:  2004-09-15       Impact factor: 12.701

3.  Natural distribution.

Authors:  Tiia Grönholm; Arto Annila
Journal:  Math Biosci       Date:  2007-08-06       Impact factor: 2.144

4.  Different chemical reaction times between normal and solid cancer cells.

Authors:  Umberto Lucia
Journal:  Med Hypotheses       Date:  2013-05-03       Impact factor: 1.538

5.  Dynamic rewiring of the androgen receptor protein interaction network correlates with prostate cancer clinical outcomes.

Authors:  Miltiadis Paliouras; Naif Zaman; Rose Lumbroso; Laurie Kapogeorgakis; Lenore K Beitel; Edwin Wang; Mark Trifiro
Journal:  Integr Biol (Camb)       Date:  2011-09-07       Impact factor: 2.192

6.  Identifying critical transitions and their leading biomolecular networks in complex diseases.

Authors:  Rui Liu; Meiyi Li; Zhi-Ping Liu; Jiarui Wu; Luonan Chen; Kazuyuki Aihara
Journal:  Sci Rep       Date:  2012-12-10       Impact factor: 4.379

7.  BioGRID: a general repository for interaction datasets.

Authors:  Chris Stark; Bobby-Joe Breitkreutz; Teresa Reguly; Lorrie Boucher; Ashton Breitkreutz; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

8.  Design principles for cancer therapy guided by changes in complexity of protein-protein interaction networks.

Authors:  Sebastian Benzekry; Jack A Tuszynski; Edward A Rietman; Giannoula Lakka Klement
Journal:  Biol Direct       Date:  2015-05-28       Impact factor: 4.540

9.  The BioGRID Interaction Database: 2008 update.

Authors:  Bobby-Joe Breitkreutz; Chris Stark; Teresa Reguly; Lorrie Boucher; Ashton Breitkreutz; Michael Livstone; Rose Oughtred; Daniel H Lackner; Jürg Bähler; Valerie Wood; Kara Dolinski; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2007-11-13       Impact factor: 16.971

10.  Cellular network entropy as the energy potential in Waddington's differentiation landscape.

Authors:  Christopher R S Banerji; Diego Miranda-Saavedra; Simone Severini; Martin Widschwendter; Tariq Enver; Joseph X Zhou; Andrew E Teschendorff
Journal:  Sci Rep       Date:  2013-10-24       Impact factor: 4.379

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  9 in total

1.  Gibbs free energy as a measure of complexity correlates with time within C. elegans embryonic development.

Authors:  Samuel H McGuire; Edward A Rietman; Hava Siegelmann; Jack A Tuszynski
Journal:  J Biol Phys       Date:  2017-09-19       Impact factor: 1.365

2.  Most high-grade neuroendocrine tumours of the lung are likely to secondarily develop from pre-existing carcinoids: innovative findings skipping the current pathogenesis paradigm.

Authors:  Giuseppe Pelosi; Fabrizio Bianchi; Elisa Dama; Michele Simbolo; Andrea Mafficini; Angelica Sonzogni; Sara Pilotto; Sergio Harari; Mauro Papotti; Marco Volante; Gabriella Fontanini; Luca Mastracci; Adriana Albini; Emilio Bria; Fiorella Calabrese; Aldo Scarpa
Journal:  Virchows Arch       Date:  2018-02-01       Impact factor: 4.064

3.  Personalized anticancer therapy selection using molecular landscape topology and thermodynamics.

Authors:  Edward A Rietman; Jacob G Scott; Jack A Tuszynski; Giannoula Lakka Klement
Journal:  Oncotarget       Date:  2017-03-21

4.  Gibbs Free Energy Calculation of Mutation in PncA and RpsA Associated With Pyrazinamide Resistance.

Authors:  Muhammad Tahir Khan; Sajid Ali; Muhammad Tariq Zeb; Aman Chandra Kaushik; Shaukat Iqbal Malik; Dong-Qing Wei
Journal:  Front Mol Biosci       Date:  2020-04-09

5.  Network potential identifies therapeutic miRNA cocktails in Ewing sarcoma.

Authors:  Davis T Weaver; Kathleen I Pishas; Drew Williamson; Jessica Scarborough; Stephen L Lessnick; Andrew Dhawan; Jacob G Scott
Journal:  PLoS Comput Biol       Date:  2021-10-18       Impact factor: 4.475

6.  Proteomic indicators of oxidation and hydration state in colorectal cancer.

Authors:  Jeffrey M Dick
Journal:  PeerJ       Date:  2016-07-20       Impact factor: 2.984

7.  Symmetry and symmetry breaking in cancer: a foundational approach to the cancer problem.

Authors:  J James Frost; Kenneth J Pienta; Donald S Coffey
Journal:  Oncotarget       Date:  2017-12-05

8.  Personalized therapy design for systemic lupus erythematosus based on the analysis of protein-protein interaction networks.

Authors:  Elizabeth J Brant; Edward A Rietman; Giannoula Lakka Klement; Marco Cavaglia; Jack A Tuszynski
Journal:  PLoS One       Date:  2020-03-19       Impact factor: 3.240

9.  Using the Gibbs Function as a Measure of Human Brain Development Trends from Fetal Stage to Advanced Age.

Authors:  Edward A Rietman; Sophie Taylor; Hava T Siegelmann; Marco A Deriu; Marco Cavaglia; Jack A Tuszynski
Journal:  Int J Mol Sci       Date:  2020-02-07       Impact factor: 5.923

  9 in total

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