Liver X receptors constrain tumor development and metastasis dissemination in PTEN-deficient prostate cancer.
Anthony AliouiJulie DufourValerio LeoniAnke LoreggerMartina MoetonLuigi IulianoChiara ZerbinatiAmandine SeptierPierre ValAllan FouacheVincenzo RussoDavid H VolleJean Marc A LobaccaroNoam ZelcerSilvère BaronPublished in: Nature communications (2017)
Advanced prostate cancer (PCa) is a clinical challenge as no curative therapeutic is available. In this context, a better understanding of metastasis and resistance mechanisms in PCa is an important issue. As phosphatase and tensin homolog (PTEN) loss is the most common genetic lesion in such cancer, we investigate human data sets for mechanisms that can constrain cancer evolution in this setting. Here we report a liver X receptor (LXR) signature, which tightly correlates with PTEN loss, in PCa. Accordingly, the LXR pathway is deregulated in prostate carcinomas in Pten-null mice. Genetic ablation of LXRs in Pten-null mice, exacerbates PCa invasiveness and metastatic dissemination, which involves mesenchymal transition and accumulation of matrix metalloproteinases. Mechanistically, PTEN deletion governed LXR transcriptional activity through deregulation of cholesterol de novo synthesis, resulting in accumulation of endogenous LXR ligands. Our study therefore reveals a functional circuit linking PTEN and LXR, and highlights LXRs as metabolic gatekeepers that are able to constrain PCa progression.Treatment of prostate cancer, especially in its advanced stage, is still challenging; therefore, strategies to prevent metastatic dissemination are of great interest. Here the authors reveal a crucial role for liver X receptors in suppressing prostate carcinogenesis and metastatic progression in PTEN-null tumors.
Keyphrases
- prostate cancer
- pi k akt
- cell proliferation
- radical prostatectomy
- squamous cell carcinoma
- signaling pathway
- small cell lung cancer
- genome wide
- gene expression
- endothelial cells
- stem cells
- oxidative stress
- young adults
- adipose tissue
- big data
- single cell
- dna methylation
- metabolic syndrome
- artificial intelligence
- binding protein
- low density lipoprotein
- benign prostatic hyperplasia
- childhood cancer