CEBP-β and PLK1 as Potential Mediators of the Breast Cancer/Obesity Crosstalk: In Vitro and In Silico Analyses.
Felice Maria AccattatisAmanda CarusoAlfonso CarleoPiercarlo Del ConsoleLuca GelsominoDaniela BonofiglioCinzia GiordanoInes BaroneSebastiano AndòLaura BianchiStefania CatalanoPublished in: Nutrients (2023)
Over the last two decades, obesity has reached pandemic proportions in several countries, and expanding evidence is showing its contribution to several types of malignancies, including breast cancer (BC). The conditioned medium (CM) from mature adipocytes contains a complex of secretes that may mimic the obesity condition in studies on BC cell lines conducted in vitro. Here, we report a transcriptomic analysis on MCF-7 BC cells exposed to adipocyte-derived CM and focus on the predictive functional relevance that CM-affected pathways/processes and related biomarkers (BMs) may have in BC response to obesity. CM was demonstrated to increase cell proliferation, motility and invasion as well as broadly alter the transcript profiles of MCF-7 cells by significantly modulating 364 genes. Bioinformatic functional analyses unraveled the presence of five highly relevant central hubs in the direct interaction networks (DIN), and Kaplan-Meier analysis sorted the CCAAT/enhancer binding protein beta (CEBP-β) and serine/threonine-protein kinase PLK1 (PLK1) as clinically significant biomarkers in BC. Indeed, CEBP-β and PLK1 negatively correlated with BC overall survival and were up-regulated by adipocyte-derived CM. In addition to their known involvement in cell proliferation and tumor progression, our work suggests them as a possible "deus ex machina" in BC response to fat tissue humoral products in obese women.
Keyphrases
- insulin resistance
- adipose tissue
- weight loss
- metabolic syndrome
- high fat diet induced
- cell proliferation
- type diabetes
- induced apoptosis
- protein kinase
- polycystic ovary syndrome
- weight gain
- binding protein
- cell cycle arrest
- skeletal muscle
- fatty acid
- sars cov
- breast cancer cells
- transcription factor
- gene expression
- signaling pathway
- coronavirus disease
- genome wide
- pregnant women
- poor prognosis
- pseudomonas aeruginosa
- molecular docking
- single cell
- cell death
- staphylococcus aureus
- breast cancer risk
- candida albicans
- genome wide identification
- molecular dynamics simulations