Cell-Intrinsic Tumorigenic Functions of PPARγ in Bladder Urothelial Carcinoma.
Danielle J SanchezRindert MissiaenNicolas SkuliDavid J StegerM Celeste SimonPublished in: Molecular cancer research : MCR (2021)
The role of PPAR gamma (PPARγ) has been well characterized in the developmental process of adipogenesis, yet its aberrant expression patterns and functions in cancer subtypes are less understood. Although PPARγ has been recently demonstrated to play non-cell-autonomous roles in promoting bladder urothelial carcinoma (UC) progression, underlying mechanisms of the cell-intrinsic oncogenic activity remain unknown. Here, we report robust expression and nuclear accumulation of PPARγ in 47% of samples of patients with UC, exceeding mRNA expression patterns published by The Cancer Genome Atlas. In vitro assays revealed for the first time that treatment of UC cells with PPARγ inverse agonist or PPARG knockout by CRISPR-Cas9 reduces proliferation, migration, and invasion of multiple established UC cell lines, most strongly in those characterized by PPARG genomic amplification or activating mutations of RXRA, the obligate heterodimer of PPARγ. Through genome-wide approaches including chromatin immunoprecipitation sequencing and RNA sequencing, we define a novel set of PPARγ-regulated genes in UC, including Sonic Hedgehog (SHH). Similar to PPARγ, genetic inhibition of SHH reduces proliferation and motility. Finally, we demonstrate the PPARγ dependency of UC tumors in vivo by genetic and pharmacologic PPARγ inhibition in subcutaneous xenografts. Collectively, our data indicate that PPARγ promotes UC progression in a subset of patients, at least in part, through cell-autonomous mechanisms linked to SHH signaling. IMPLICATIONS: Genome-wide analysis of DNA-binding sites for oncogenic factor PPARγ revealed SHH as a novel downstream target involved in UC progression, providing important insight into the tumorigenic nature and molecular mechanism of PPARγ signaling in UC.
Keyphrases
- genome wide
- single cell
- insulin resistance
- fatty acid
- crispr cas
- cell therapy
- signaling pathway
- dna methylation
- copy number
- spinal cord injury
- metabolic syndrome
- skeletal muscle
- transcription factor
- type diabetes
- gene expression
- machine learning
- high throughput
- escherichia coli
- dna damage
- systematic review
- cystic fibrosis
- cell death
- oxidative stress
- young adults
- staphylococcus aureus
- data analysis
- smoking cessation
- single molecule
- biofilm formation
- lymph node metastasis
- deep learning
- replacement therapy
- childhood cancer