PLX205428
GSE114372: Estrogen receptor and mTOR signaling rewires cancer metabolism in obesity-associated breast cancer
- Organsim human
- Type RNASEQ
- Target gene
- Project Transcriptomics of breast cancer
Obesity is a risk factor for postmenopausal ER (+) breast cancer. Molecular mechanisms activated by the factors from serum that contribute to this risk and how these mechanisms affect ER signaling are yet to be elucidated. To identify such mechanisms, we performed whole metabolite and protein profiling in serum samples, which enabled us to focus on factors that were differentially present in serum from cancer-free vs. breast cancer susceptible and obese vs. non-obese post-menopausal women. These studies combined with in vitro assays identified free fatty acids (FFAs), as serum factors that correlate with increased proliferation and aggressiveness in ER(+) breast cancer cells by. FFAs activated both ER and mTOR pathways and rewired metabolism in breast cancer cells. Pathway preferential estrogen-1 (PaPE-1), which target ER and mTOR signaling, was able to block changes induced by FFAs. In fact, PaPEs were more effective in the presence of FFAs, suggesting a role for obesity-associated gene and metabolic rewiring in providing new targetable vulnerabilities for ER-(+) breast cancer in postmenopausal women. Our findings provide a basis for preventing or inhibiting obesity-associated breast cancer by using PaPEs that would reverse these newly appreciated metabolic properties of breast tumors in obese postmenopausal women. SOURCE: Zeynep Madak-Erdogan (zmadake2@illinois.edu) - University of Illinois at Urbana-Illinois
View on GEOView in PlutoKey Features
Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreAnalyze and visualize data for this experiment
Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.
Read about post-pipeline analysisView QC data and experiment metadata
View quality control data and experiment metadata for this experiment.
Request import of other GEO data
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team