Literature DB >> 29421152

Smac mimetic induces an early wave of gene expression via NF-κB and AP-1 and a second wave via TNFR1 signaling.

Nadine Schmidt1, Tinka Haydn1, Ines Schneider1, Hauke Busch2, Melanie Boerries3, Simone Fulda4.   

Abstract

Smac (second mitochondria-derived activator of caspases) mimetics are considered as promising cancer therapeutics, but little is yet known about how they alter gene expression. In this study, we used an unbiased genome-wide expression array to investigate gene regulation induced by the Smac mimetic BV6 in breast cancer cell lines. Here, we discover that tumor necrosis factor (TNF)α/TNF receptor 1 (TNFR1) auto-/paracrine signaling regulates Smac mimetic-stimulated changes in gene expression in a time-dependent manner. TNFR1-independent and -dependent genes account for two subsequent waves of BV6-induced gene expression. While the first wave mostly comprises TNFR1-independent genes and involves nuclear factor-kappa B (NF-κB) and activator protein (AP)-1 transcription factors, the second wave largely depends on TNFR1 signaling. Interestingly, disrupting auto-/paracrine TNFα/TNFR1 signaling by knockdown of TNFR1 strongly attenuates the BV6-induced second wave of gene expression and upregulation of many pathways, including NF-κB, apoptosis and immune signaling, while activation of mitogen-activated protein kinase (MAPK) signaling occurs also in TNFR1 knockdown cells. Thus, BV6 alters gene expression in a time- as well as TNFR1-dependent manner.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Cell death; Cytokines; IAP proteins; Microarray; Smac mimetics

Mesh:

Substances:

Year:  2018        PMID: 29421152     DOI: 10.1016/j.canlet.2018.01.082

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  4 in total

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Authors:  Shawn T Beug; Robert G Korneluk; Eric C LaCasse
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4.  Mathematical modeling of the molecular switch of TNFR1-mediated signaling pathways applying Petri net formalism and in silico knockout analysis.

Authors:  Leonie K Amstein; Jörg Ackermann; Jennifer Hannig; Ivan Đikić; Simone Fulda; Ina Koch
Journal:  PLoS Comput Biol       Date:  2022-08-22       Impact factor: 4.779

  4 in total

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