Atypical phosphatase DUSP11 inhibition promotes nc886 expression and potentiates gemcitabine-mediated cell death through NF-kB modulation.
Verena Silva SantosGabriela Maciel VieiraMariana Tannús RuckertPamela Viani de AndradeLuis Fernando NaganoMariângela Ottoboni BrunaldiJosé Sebastião Dos SantosVanessa Silva SilveiraPublished in: Cancer gene therapy (2024)
Pancreatic ductal adenocarcinoma (PDAC) represents one of the deadliest cancers among all solid tumors. First-line treatment relies on gemcitabine (Gem) and despite treatment improvements, refractoriness remains a universal challenge. Attempts to decipher how feedback-loops control signaling pathways towards drug resistance have gained attention in recent years, particularly focused on the role of phosphatases. In this study, a CRISPR/Cas9-based phenotypic screen was performed to identify members from the dual-specificity phosphatases (DUSP) family potentially acting on Gem response in PDAC cells. The approach revealed the atypical RNA phosphatase DUSP11 as a potential target, whose inhibition creates vulnerability of PDAC cells to Gem. DUSP11 genetic inhibition impaired cell survival and promoted apoptosis, synergistically enhancing Gem cytotoxicity. In silico transcriptome analysis of RNA-seq data from PDAC human samples identified NF-ĸB signaling pathway highly correlated with DUSP11 upregulation. Consistently, Gem-induced NF-ĸB phosphorylation was blocked upon DUSP11 inhibition in vitro. Mechanistically, we found that DUSP11 directly impacts nc886 expression and modulates PKR-NF-ĸB signaling cascade after Gem exposure in PDAC cells resulting in resistance to Gem-induced cell death. In conclusion, this study provides new insights on DUSP11 role in RNA biology and Gem response in PDAC cells.
Keyphrases
- signaling pathway
- cell cycle arrest
- induced apoptosis
- pi k akt
- cell death
- rna seq
- oxidative stress
- single cell
- endoplasmic reticulum stress
- crispr cas
- poor prognosis
- epithelial mesenchymal transition
- cell proliferation
- lps induced
- gene expression
- genome wide
- climate change
- nuclear factor
- risk assessment
- squamous cell carcinoma
- high throughput
- binding protein
- young adults
- endothelial cells
- radiation therapy
- locally advanced
- drug induced
- big data
- artificial intelligence
- genome editing
- human health
- deep learning
- childhood cancer