Literature DB >> 33504910

Transition and identification of pathological states in p53 dynamics for therapeutic intervention.

Amit Jangid1,2, Md Zubbair Malik3, Ram Ramaswamy4, R K Brojen Singh5.   

Abstract

We study a minimal model of the stress-driven p53 regulatory network that includes competition between active and mutant forms of the tumor-suppressor gene p53. Depending on the nature and level of the external stress signal, four distinct dynamical states of p53 are observed. These states can be distinguished by different dynamical properties which associate to active, apoptotic, pre-malignant and cancer states. Transitions between any two states, active, apoptotic, and cancer, are found to be unidirectional and irreversible if the stress signal is either oscillatory or constant. When the signal decays exponentially, the apoptotic state vanishes, and for low stress the pre-malignant state is bounded by two critical points, allowing the system to transition reversibly from the active to the pre-malignant state. For significantly large stress, the range of the pre-malignant state expands, and the system moves to irreversible cancerous state, which is a stable attractor. This suggests that identification of the pre-malignant state may be important both for therapeutic intervention as well as for drug delivery.

Entities:  

Year:  2021        PMID: 33504910      PMCID: PMC7840995          DOI: 10.1038/s41598-021-82054-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  50 in total

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Authors:  Andrei V Gudkov; Elena A Komarova
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Review 2.  Live or let die: the cell's response to p53.

Authors:  Karen H Vousden; Xin Lu
Journal:  Nat Rev Cancer       Date:  2002-08       Impact factor: 60.716

3.  Cancer. p53, guardian of the genome.

Authors:  D P Lane
Journal:  Nature       Date:  1992-07-02       Impact factor: 49.962

Review 4.  Dissecting cancer through mathematics: from the cell to the animal model.

Authors:  Helen M Byrne
Journal:  Nat Rev Cancer       Date:  2010-03       Impact factor: 60.716

5.  Control of apoptosis by SMAR1.

Authors:  Md Zubbair Malik; Md Jahoor Alam; Romana Ishrat; Subhash M Agarwal; R K Brojen Singh
Journal:  Mol Biosyst       Date:  2017-01-31

Review 6.  Regulation of the p53 response and its relationship to cancer.

Authors:  David W Meek
Journal:  Biochem J       Date:  2015-08-01       Impact factor: 3.857

Review 7.  Why do cancers have high aerobic glycolysis?

Authors:  Robert A Gatenby; Robert J Gillies
Journal:  Nat Rev Cancer       Date:  2004-11       Impact factor: 60.716

Review 8.  The first 30 years of p53: growing ever more complex.

Authors:  Arnold J Levine; Moshe Oren
Journal:  Nat Rev Cancer       Date:  2009-10       Impact factor: 60.716

Review 9.  The mathematics of cancer: integrating quantitative models.

Authors:  Philipp M Altrock; Lin L Liu; Franziska Michor
Journal:  Nat Rev Cancer       Date:  2015-12       Impact factor: 60.716

10.  The many faces of p53: something for everyone.

Authors:  Arnold J Levine
Journal:  J Mol Cell Biol       Date:  2019-07-19       Impact factor: 6.216

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