Deletion of the mRNA stability factor ELAVL1 (HuR) in pancreatic cancer cells disrupts the tumor microenvironment integrity.
Grace A McCarthyRoberto Di NiroJennifer M FinanAditi JainYifei GuoCory R WyattAlexander R GuimaraesTrent A WaughDove KeithTerry K MorganRosalie C SearsJonathan R BrodyPublished in: NAR cancer (2023)
Stromal cells promote extensive fibrosis in pancreatic ductal adenocarcinoma (PDAC), which is associated with poor prognosis and therapeutic resistance. We report here for the first time that loss of the RNA-binding protein human antigen R (HuR, ELAVL1 ) in PDAC cells leads to reprogramming of the tumor microenvironment. In multiple in vivo models, CRISPR deletion of ELAVL1 in PDAC cells resulted in a decrease of collagen deposition, accompanied by a decrease of stromal markers (i.e. podoplanin, α-smooth muscle actin, desmin). RNA-sequencing data showed that HuR plays a role in cell-cell communication. Accordingly, cytokine arrays identified that HuR regulates the secretion of signaling molecules involved in stromal activation and extracellular matrix organization [i.e. platelet-derived growth factor AA (PDGFAA) and pentraxin 3]. Ribonucleoprotein immunoprecipitation analysis and transcription inhibition studies validated PDGFA mRNA as a novel HuR target. These data suggest that tumor-intrinsic HuR supports extrinsic activation of the stroma to produce collagen and desmoplasia through regulating signaling molecules (e.g. PDGFAA). HuR-deficient PDAC in vivo tumors with an altered tumor microenvironment are more sensitive to the standard of care gemcitabine, as compared to HuR-proficient tumors. Taken together, we identified a novel role of tumor-intrinsic HuR in its ability to modify the surrounding tumor microenvironment and regulate PDGFAA.
Keyphrases
- binding protein
- poor prognosis
- growth factor
- extracellular matrix
- single cell
- smooth muscle
- induced apoptosis
- bone marrow
- cell cycle arrest
- long non coding rna
- healthcare
- endothelial cells
- radiation therapy
- genome wide
- machine learning
- oxidative stress
- big data
- stem cells
- cell death
- gene expression
- cell therapy
- data analysis
- signaling pathway
- artificial intelligence
- cell proliferation
- pain management
- wild type
- cell migration
- dna methylation
- rectal cancer
- induced pluripotent stem cells