DEAD-box protein 3X (DDX3X) is a human DEAD-box protein with conventional roles in RNA metabolism and unconventional functions in signalling pathways that do not require its enzymatic activity. For example, DDX3X acts as a multifunctional adaptor molecule in anti-viral innate immune signalling pathways, where it interacts with and regulates the kinase IKB-kinase-epsilon (IIKKε). Interestingly, both DDX3X and IKKɛ have also independently been shown to act as breast cancer oncogenes. IKKɛ's oncogenic functions are likely multifactorial, but it was suggested to phosphorylate the transcription factor Estrogen receptor alpha (ERα) at Serine 167, which drives expression of Erα target genes in an estrogen-independent manner. In this study, we identified a novel physical interaction between DDX3X and ERα that positively regulates ERα activation. DDX3X knockdown in ER+ breast cancer cell lines resulted in reduced ERα phosphorylation, reduced Estrogen Response Element (ERE)-controlled reporter gene expression, decreased expression of ERα target genes, and decreased cell proliferation. Vice versa, overexpression of DDX3X resulted in enhanced ERα phosphorylation and activity. Furthermore, we provide evidence that DDX3X physically binds to ERα from co-immunoprecipitation and pulldown experiments. Based on our data, we propose that DDX3X acts as an adaptor to facilitate IKKε-mediated ERα activation, akin to the mechanism we previously elucidated for IKKε-mediated Interferon Regulatory factor 3 (IRF3) activation in innate immune signalling. In conclusion, our research provides a novel molecular mechanism that might contribute to the oncogenic effect of DDX3X in breast cancer, potentially linking it to the development of resistance against endocrine therapy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.bbagrm.2022.194787 | DOI Listing |
IUBMB Life
January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFCancer
February 2025
General Medicine Service, VA Puget Sound Health Care System, Seattle, Washington, USA.
Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.
Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.
J Adv Nurs
January 2025
Anesthesiology Department, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, Hebei, China.
Cancer
February 2025
Departmental Unit of Molecular and Genomic Diagnostics, Genomics Core Facility, G-STeP, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Background: To date, 11 DNA polymerase epsilon (POLE) pathogenic variants have been declared "hotspot" mutations. Patients with endometrial cancer (EC) characterized by POLE hotspot mutations (POLEmut) have exceptional survival outcomes. Whereas international guidelines encourage deescalation of adjuvant treatment in early-stage POLEmut EC, data regarding safety in POLEmut patients with unfavorable characteristics are still under investigation.
View Article and Find Full Text PDFStat Med
February 2025
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Multi-gene panel testing allows efficient detection of pathogenic variants in cancer susceptibility genes including moderate-risk genes such as ATM and PALB2. A growing number of studies examine the risk of breast cancer (BC) conferred by pathogenic variants of these genes. A meta-analysis combining the reported risk estimates can provide an overall estimate of age-specific risk of developing BC, that is, penetrance for a gene.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!