Powered by OpenAIRE graph

Abstract 1976: Ras-Raf-MEK-ERK signaling pathway: a novel target of ERRα and tamoxifen in TNBC cells

Authors: David Musheyev; Adi Ronen; Miriam T. Lattin; Anya Alayev;

Abstract 1976: Ras-Raf-MEK-ERK signaling pathway: a novel target of ERRα and tamoxifen in TNBC cells

Abstract

Abstract TNBC, or triple-negative breast cancer, is an aggressive type of breast cancer that is associated with a worse prognosis, higher rates of metastases, and a poorer outcome. Historically, TNBC has been proven challenging to treat, due to disease heterogeneity and the fact that the breast cancer tests negative for estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) protein, and thus does not respond to traditional therapies. As such, treatment options for TNBC patients are extremely limited and there is a tremendous need to identify molecular targets and biomarkers that can offer novel targeted approaches. Additionally, due to disease heterogeneity in TNBC, it is important to subclassify TNBC based on prognostic markers and create tailored targeted therapies. ERRα, an orphan nuclear receptor, is an example of a prognostic marker that is correlated with a more aggressive disease progression and a worse outcome. However, ERRα is also a predictive marker for patient response to tamoxifen treatment of ER-negative and TNBC patients, indicating that there may be an alternative use for the selective estrogen modulator (SERM) tamoxifen in the context of TNBC. This led us to investigate whether there is a common pathway that is regulated by both ERRα and tamoxifen that would explain tamoxifen response in the context of TNBC cells. We performed a phosphoproteomic analysis of MDA-MB-231 cells, treated with either tamoxifen or XCT-790, an inverse agonist of ERRα, to identify common downstream targets of both ERRα and tamoxifen. Our findings indicate that the Ras-Raf-MEK-ERK signaling pathway is a common target of both XCT-790 and tamoxifen. This provides a novel treatment strategy that should be investigated for the treatment of TNBC patients, opens the door for investigation of novel targeted therapies, and highlights the need for the use of prognostic markers to identify sub-populations that benefit from individualized treatment strategies. Citation Format: David Musheyev, Adi Ronen, Miriam T. Lattin, Anya Alayev. Ras-Raf-MEK-ERK signaling pathway: a novel target of ERRα and tamoxifen in TNBC cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1976.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research