To explore the molecular mechanism and prognosis of bone-invasive pituitary adenomas (BIPA). A total of 274 patients with pituitary adenomas were followed up. Transcriptomic microarrays analysis was performed on 10 pituitary adenomas, including five BIPAs and five non-bone-invasive pituitary adenomas (NBIPA). The targeted molecular markers were validated by qRT-PCR, IHC, ELISA, and osteoclast differentiation. Clinical variable analyses revealed a significant correlation between bone invasion and female sex, large tumor volume, non-gross total resection (NGTR), and tumor regrowth. BIPAs had worse progression-free survival (PFS) than did NBIPAs in the NGTR and nonfunctional pituitary adenoma (NFPA) groups. Gene ontology functional and KEGG pathway analyses showed that the biological processes and pathways were primarily immune and inflammatory pathways. Pathway act work showed that osteoclast differentiation pathway was significantly implicated in the pathway network. BIPAs had higher expression of TNFα than that of NBIPAs on IHC. , TNFα could induce RAW264.7 cells to differentiate into mature osteoclasts, leading to bone destruction. NR_033258, lncRNA SNHG24, miR-181c-5p, and miR-454-3p can regulate TNFα expression. BIPAs had worse PFS than did NBIPAs in the NGTR and NFPA groups. Inflammatory and immune factors play an important role in BIPAs. TNFα can directly induce osteoclast differentiation in BIPAs. NR_033258, lncRNA SNHG24, miR-181c-5p, and miR-454-3p can regulate TNFα expression. TNFα and its related lncRNAs and miRNAs represent potential therapeutic targets for bone-invasive pituitary adenomas in the future. .
The genetic basis and corresponding clinical relevance of prolactinomas remain poorly understood. Here, we perform whole genome sequencing (WGS) on 21 patients with prolactinomas to detect somatic mutations and then validate the mutations with digital polymerase chain reaction (PCR) analysis of tissue samples from 227 prolactinomas. We identify the same hotspot somatic mutation in splicing factor 3 subunit B1 (SF3B1R625H) in 19.8% of prolactinomas. These patients with mutant prolactinomas display higher prolactin (PRL) levels (p = 0.02) and shorter progression-free survival (PFS) (p = 0.02) compared to patients without the mutation. Moreover, we identify that the SF3B1R625H mutation causes aberrant splicing of estrogen related receptor gamma (ESRRG), which results in stronger binding of pituitary-specific positive transcription factor 1 (Pit-1), leading to excessive PRL secretion. Thus our study validates an important mutation and elucidates a potential mechanism underlying the pathogenesis of prolactinomas that may lead to the development of targeted therapeutics.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.