Literature DB >> 27152744

Disorder, Promiscuous Interactions, and Stochasticity Regulate State Switching in the Unstable Prostate.

Prakash Kulkarni1, Robert H Getzenberg2.   

Abstract

A causal link between benign prostatic hyperplasia (BPH) and prostate cancer has long been suspected but not widely accepted. A new model is proposed that supports such a connection. In contrast to the prevailing wisdom, our model, that draws on dynamical systems theory, suggests that in response to stress, epithelial cells in the unstable gland can give rise to both types of diseases via a phenotypic switching mechanism. The central idea is that phenotypic switching is a stochastic process which exploits the plasticity of the epithelial cell. It is driven by 'noise' contributed by the conformational dynamics of proteins that are intrinsically disordered. In a system that is noisy when stressed, disorder promotes promiscuity, unmasks latent information, and rewires the network to cause phenotypic switching. Cells with newly acquired phenotypes can transcend the traditional zonal boundaries to give rise to BPH or prostate cancer depending on the microenvironment. Establishing causality between the two diseases may provide us with an opportunity to better understand their etiology and guide prevention and treatment strategies. J. Cell. Biochem. 117: 2235-2240, 2016.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  BENIGN PROSTATIC HYPERPLASIA; CANCER/TESTIS ANTIGENS; PROSTATE CANCER; STATE SWITCHING

Mesh:

Year:  2016        PMID: 27152744     DOI: 10.1002/jcb.25578

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  2 in total

1.  Protein folding, misfolding, and un/non-folding: overview of the SP16 Session at the 20th IUPAB congress, 45th Annual Meeting of SBBf, and 50th Annual Meeting of SBBq.

Authors:  Vladimir N Uversky
Journal:  Biophys Rev       Date:  2021-11-12

Review 2.  Prostate-Associated Gene 4 (PAGE4): Leveraging the Conformational Dynamics of a Dancing Protein Cloud as a Therapeutic Target.

Authors:  Ravi Salgia; Mohit Kumar Jolly; Tanya Dorff; Clayton Lau; Keith Weninger; John Orban; Prakash Kulkarni
Journal:  J Clin Med       Date:  2018-06-17       Impact factor: 4.241

  2 in total

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