Literature DB >> 33973518

Limited inhibition of multiple nodes in a driver network blocks metastasis.

Ali Ekrem Yesilkanal1, Dongbo Yang1, Andrea Valdespino1, Payal Tiwari1, Alan U Sabino2, Long Chi Nguyen1, Jiyoung Lee1, Xiao-He Xie1, Siqi Sun1, Christopher Dann1, Lydia Robinson-Mailman1, Ethan Steinberg1, Timothy Stuhlmiller3, Casey Frankenberger1, Elizabeth Goldsmith4, Gary L Johnson5, Alexandre F Ramos2, Marsha R Rosner1.   

Abstract

Metastasis suppression by high-dose, multi-drug targeting is unsuccessful due to network heterogeneity and compensatory network activation. Here we show that targeting driver network signaling capacity by limited inhibition of core pathways is a more effective anti-metastatic strategy. This principle underlies the action of a physiological metastasis suppressor, Raf Kinase Inhibitory Protein (RKIP), that moderately decreases stress-regulated MAP kinase network activity, reducing output to transcription factors such as pro-metastastic BACH1 and motility-related target genes. We developed a low-dose four-drug mimic that blocks metastatic colonization in mouse breast cancer models and increases survival. Experiments and network flow modeling show limited inhibition of multiple pathways is required to overcome variation in MAPK network topology and suppress signaling output across heterogeneous tumor cells. Restricting inhibition of individual kinases dissipates surplus signal, preventing threshold activation of compensatory kinase networks. This low-dose multi-drug approach to decrease signaling capacity of driver networks represents a transformative, clinically-relevant strategy for anti-metastatic treatment.
© 2021, Yesilkanal et al.

Entities:  

Keywords:  cancer biology; human; mouse

Year:  2021        PMID: 33973518     DOI: 10.7554/eLife.59696

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  4 in total

1.  Raf Kinase Inhibitory Protein regulates the cAMP-dependent protein kinase signaling pathway through a positive feedback loop.

Authors:  Jiyoung Lee; Cristina Olivieri; Colin Ong; Larry R Masterson; Suzana Gomes; Bok-Soon Lee; Florian Schaefer; Kristina Lorenz; Gianluigi Veglia; Marsha Rich Rosner
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-13       Impact factor: 12.779

Review 2.  Harnessing RKIP to Combat Heart Disease and Cancer.

Authors:  Kristina Lorenz; Marsha Rich Rosner
Journal:  Cancers (Basel)       Date:  2022-02-09       Impact factor: 6.575

3.  A Stochastic Binary Model for the Regulation of Gene Expression to Investigate Responses to Gene Therapy.

Authors:  Guilherme Giovanini; Luciana R C Barros; Leonardo R Gama; Tharcisio C Tortelli; Alexandre F Ramos
Journal:  Cancers (Basel)       Date:  2022-01-27       Impact factor: 6.575

Review 4.  Adaptive chromatin remodeling and transcriptional changes of the functional kinome in tumor cells in response to targeted kinase inhibition.

Authors:  Michael P East; Gary L Johnson
Journal:  J Biol Chem       Date:  2021-12-24       Impact factor: 5.157

  4 in total

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