Work

Prognostic value of clinical parameters and exosomal lncRNA NEAT1_1 in MEN1 ‐related non‐functioning pancreatic neuroendocrine tumors

Year: 2025
Type: article
Study design: Observational Study
Abstract: Non-functioning pancreatic neuroendocrine tumors (NF-pNETs) significantly contribute to the premature death of multiple endocrine neoplasia type 1 (MEN1) patients. Reliable prognostic markers are not yet available. MicroRNAs (miRNA) and long-non-coding (lnc) RNAs, transported by extracellular vesicles, are emerging as new prognostic tools. This study aimed to analyze the clinical characteristics, the exosomal-miRNA 451 (exo-miR451) and the lnc-RNA nuclear paraspeckle assembly transcript 1 (NEAT1_1, 3.7 kB) in the mild and aggressive courses of MEN1-NFpNET disease. Patient characteristics were assessed regarding an aggressive course of disease. In addition, exo-miR451 and exo-lnc-NEAT1_1 expression levels were quantified in serum by RT-qPCR and correlated with clinical data. Immunohistochemistry results of STAT3 (signal transducer and activator of transcription 3), regulated by NEAT1, were performed in NF-pNET tissue and correlated with exo-lnc-NEAT1_1 expression. Among 66 MEN1 patients with NF-pNETs, 13 (20%) had an aggressive disease course. No significant differences in patient characteristics were observed between those with aggressive (n = 13) and mild (n = 53) disease (all p > .5). Exosomal miRNA-451 was dysregulated in 55% (n = 23) of cases, showing a trend toward higher upregulation in the aggressive group (36% vs. 19%), although this difference was not statistically significant (p = .215). Exo-NEAT1_1 was overexpressed in 42% (16/38) of patients, without significant differences between groups (p = .0523). However, exo-NEAT1_1 expression strongly correlated with STAT3 immunohistochemical staining (p = .001). Although no prognostic marker could be identified, we show for the first time that the STAT3-NEAT1 pathway plays a role in MEN1-associated NF-pNET tumorigenesis.
Language: English
Subfield: Epidemiology
Field: Medicine
Open Access status: hybrid
Estimated APC paid: $4,550
OpenAlex ID: W4409119208
FWCI: 0.607
Cites: 71
Cited by: 1
Related to: 10