Literature DB >> 26231735

Infiltrating neutrophils promote renal cell carcinoma (RCC) proliferation via modulating androgen receptor (AR) → c-Myc signals.

Wenbin Song1, Lei Li2, Dalin He3, Hongjun Xie3, Jiaqi Chen3, Chiuan-Ren Yeh4, Luke Sien-Shih Chang3, Shuyuan Yeh4, Chawnshang Chang5.   

Abstract

Early studies found critical roles for neutrophils in renal cell carcinoma (RCC) progression. However, detailed mechanisms of how infiltrating neutrophils in the kidney tumor microenvironment impact RCC progression remain unclear. Here we found more neutrophils were infiltrated in human RCC lesions than those found in surrounding normal kidney tissues. Similarly, in vitro studies also revealed that RCC cells recruited more neutrophil HL-60N cells than normal kidney epithelial cells. Furthermore, in vitro and in vivo experiments also showed that the infiltrated neutrophils could promote RCC cell growth. Mechanism studies showed that co-culture of RCC cells with neutrophil HL-60N cells could selectively upregulate the androgen receptor (AR) signals, which might then alter the c-Myc signals. Interruption approaches using AR-siRNA to knock down AR in RCC cells blocked neutrophil-enhanced RCC cell proliferation. In vivo data using an orthotopically xenografted RCC mouse model also confirmed that infiltrated neutrophils could promote RCC proliferation via modulating the expressions of related cytokines. Together, these results conclude that infiltrated neutrophils may function through modulating the AR → c-Myc signals to promote RCC cell proliferation. Targeting this newly identified infiltrating neutrophil → AR → c-Myc signal pathway in the kidney tumor microenvironment may provide a new potential therapy to better suppress RCC progression. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Androgen receptor; Infiltrating neutrophils; Renal cell carcinoma (RCC); c-Myc signal

Mesh:

Substances:

Year:  2015        PMID: 26231735     DOI: 10.1016/j.canlet.2015.07.027

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


  11 in total

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Journal:  Cell Death Differ       Date:  2021-06-14       Impact factor: 15.828

10.  Combined Naïve Bayesian, Chemical Fingerprints and Molecular Docking Classifiers to Model and Predict Androgen Receptor Binding Data for Environmentally- and Health-Sensitive Substances.

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