Activation of STATs 3 and 5 Through the EGFR Signaling Axis

Author(s):  
Priya Koppikar ◽  
Jennifer Rubin Grandis
2021 ◽  
pp. canres.1112.2021
Author(s):  
Fei Yue ◽  
Weiyu Jiang ◽  
Amy T. Ku ◽  
Adelaide I. J. Young ◽  
Weijie Zhang ◽  
...  

Colon cancer is the third most common type of cancer worldwide. Epidermal growth factor receptor (EGFR) plays a crucial role in the (patho)physiology of the disease. EGFR controls vital cellular processes, while this action is associated with poor prognosis. In addition, K-Ras mutations are associated with the promotion of the disease and the anti-EGFR resistance. The ubiquitin-proteasome system plays also a very important role in cancer, modulating cell cycle and other cellular processes such as the growth and the survival of cancer cells. Proteasome inhibition affects, in several cases, the action and the protein levels of EGFR. Nevertheless, little is known whether the reversed option is possible. In this study, we, therefore, investigated the impact of epidermal growth factor (EGF)/EGFR signaling axis on gene expression and the proteolytic activity of the proteasome subunits, as well as whether Nrf2, an activator of proteasome expression, plays a role in this process. Moreover, we evaluated whether EGF regulates the expression of its own receptor and the proliferation rate of DLD-1 (K-Ras mutated) colon cancer cells. The obtained data showed that, although EGF has no significant effect on the proliferation of DLD-1 colon cancer cells, it significantly upregulates the expression of EGFR as well as the expression and the activity of the proteasome, suggesting that the EGF-mediated proteasome activation could possibly lead to enhanced EGFR degradation leading to autoregulation of EGF–EGFR pathway. Nrf2 activation did not induce proteasome gene expression in DLD-1 colon cancer cells.


Oncotarget ◽  
2013 ◽  
Vol 4 (9) ◽  
pp. 1388-1398 ◽  
Author(s):  
Xiaoli Wu ◽  
Mihir K. Bhayani ◽  
Cristina T. Dodge ◽  
Milena S. Nicoloso ◽  
Yunyun Chen ◽  
...  

2016 ◽  
Vol 76 (12) ◽  
pp. 3507-3519 ◽  
Author(s):  
William Guerrant ◽  
Smitha Kota ◽  
Scott Troutman ◽  
Vinay Mandati ◽  
Mohammad Fallahi ◽  
...  

2017 ◽  
Vol 37 (4) ◽  
Author(s):  
Henrick Horita ◽  
Andy Law ◽  
Soonjin Hong ◽  
Kim Middleton

Identification of a novel post-translational modification (PTM) for a target protein, defining its physiologic role and studying its potential cross-talk with other PTMs is a challenging process. A set of highly sensitive tools termed as Signal-Seeker kits was developed, which enables rapid and simple detection of PTMs on any target protein. The methodology for these tools utilizes affinity purification of modified proteins from a cell or tissue lysate, and immunoblot analysis. These tools utilize a single lysis system that is effective at identifying endogenous, dynamic PTM changes, as well as the potential cross-talk between PTMs. As a proof-of-concept experiment, the acetylation (Ac), tyrosine phosphorylation (pY), SUMOylation 2/3, and ubiquitination (Ub) profiles of the epidermal growth factor (EGF) receptor (EGFR)–Ras–c-Fos axis were examined in response to EGF stimulation. All ten previously identified PTMs of this signaling axis were confirmed using these tools, and it also identified Ac as a novel modification of c-Fos. This axis in the EGF/EGFR signaling pathway was chosen because it is a well-established signaling pathway with proteins localized in the membrane, cytoplasmic, and nuclear compartments that ranged in abundance from 4.18 × 108 (EGFR) to 1.35 × 104 (c-Fos) molecules per A431 cell. These tools enabled the identification of low abundance PTMs, such as c-Fos Ac, at 17 molecules per cell. These studies highlight how pervasive PTMs are, and how stimulants like EGF induce multiple PTM changes on downstream signaling axis. Identification of endogenous changes and potential cross-talk between multiple PTMs for a target protein or signaling axis will provide regulatory mechanistic insights to investigators.


2015 ◽  
Vol 5 (5) ◽  
pp. 472-474 ◽  
Author(s):  
Evgeny Izumchenko ◽  
David Sidransky

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