Literature DB >> 26481970

Feedback regulation in cell signalling: Lessons for cancer therapeutics.

Lan K Nguyen1, Boris N Kholodenko2.   

Abstract

The notion of feedback is fundamental for understanding signal transduction networks. Feedback loops attenuate or amplify signals, change the network dynamics and modify the input-output relationships between the signal and the target. Negative feedback provides robustness to noise and adaptation to perturbations, but as a double-edged sword can prevent effective pathway inhibition by a drug. Positive feedback brings about switch-like network responses and can convert analog input signals into digital outputs, triggering cell fate decisions and phenotypic changes. We show how a multitude of protein-protein interactions creates hidden feedback loops in signal transduction cascades. Drug treatments that interfere with feedback regulation can cause unexpected adverse effects. Combinatorial molecular interactions generated by pathway crosstalk and feedback loops often bypass the block caused by targeted therapies against oncogenic mutated kinases. We discuss mechanisms of drug resistance caused by network adaptations and suggest that development of effective drug combinations requires understanding of how feedback loops modulate drug responses.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug resistance, Signal transduction, Network dynamics; Feedback regulation; Mathematical modelling; Network analysis; Systems stability

Mesh:

Substances:

Year:  2015        PMID: 26481970     DOI: 10.1016/j.semcdb.2015.09.024

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  19 in total

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Review 4.  Understanding the mTOR signaling pathway via mathematical modeling.

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Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-02-10

5.  The long non-coding RNA AK023948 enhances tumor progression in hepatocellular carcinoma.

Authors:  Bailiang Ye; Bingren Hu; Zhihai Zheng; Ru Zheng; Yixiong Shi
Journal:  Exp Ther Med       Date:  2017-08-24       Impact factor: 2.447

6.  Investigation of Novel Regulation of N-myristoyltransferase by Mammalian Target of Rapamycin in Breast Cancer Cells.

Authors:  Marine Jacquier; Shiby Kuriakose; Apurva Bhardwaj; Yang Zhang; Anuraag Shrivastav; Stéphanie Portet; Shailly Varma Shrivastav
Journal:  Sci Rep       Date:  2018-08-28       Impact factor: 4.379

7.  Bifurcation analysis of insulin regulated mTOR signalling pathway in cancer cells.

Authors:  Krishnamachari Sriram
Journal:  IET Syst Biol       Date:  2018-10       Impact factor: 1.615

8.  Akt phosphorylates insulin receptor substrate to limit PI3K-mediated PIP3 synthesis.

Authors:  Alison L Kearney; Dougall M Norris; Milad Ghomlaghi; Martin Kin Lok Wong; Sean J Humphrey; Luke Carroll; Guang Yang; Kristen C Cooke; Pengyi Yang; Thomas A Geddes; Sungyoung Shin; Daniel J Fazakerley; Lan K Nguyen; David E James; James G Burchfield
Journal:  Elife       Date:  2021-07-13       Impact factor: 8.140

9.  A systematic analysis of signaling reactivation and drug resistance.

Authors:  Boris N Kholodenko; Nora Rauch; Walter Kolch; Oleksii S Rukhlenko
Journal:  Cell Rep       Date:  2021-05-25       Impact factor: 9.423

10.  Cognitive Computing to Guide Molecular-Based Therapy Selection: Steps Forward amid Abundant Need.

Authors:  Leif W Ellisen
Journal:  Oncologist       Date:  2018-01-12
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