Long noncoding RNAs (lncRNAs) have been proven to exert important functions in the various biological processes of human cancers. It has been reported that lncRNA HNF1 homeobox A antisense RNA 1 (HNF1A-AS1) was abnormally expressed and played a role in the initiation and development of various human cancers. In this study, we confirmed that the expression level of HNF1A-AS1 was increased in glioma tissues and cells. Knockdown of HNF1A-AS1 inhibited cell proliferation and promoted cell apoptosis in glioma. Then, we disclosed the downregulation of miR-363-3p in glioma tissues and cell lines. The interaction between HNF1A-AS1 and miR-363-3p was identified in glioma cells. Furthermore, an inverse correlation between HNF1A-AS1 and miR-363-3p was observed in glioma tissues. Afterwards, we recognized that MAP2K4 was a direct target of miR-363-3p. The expression of MAP2K4 was negatively correlated with miR-363-3p while positively related to HNF1A-AS1 in glioma tissues. We also found the regulatory effect of HNF1A-AS1 on the MAP2K4-dependent JNK signaling pathway. All findings indicated that HNF1A-AS1 induces the upregulation of MAP2K4 to activate the JNK signaling pathway to promote glioma cell growth by acting as a miR-363-3p sponge.

Download full-text PDF

Source
http://dx.doi.org/10.1002/jcp.29916DOI Listing

Publication Analysis

Top Keywords

glioma tissues
16
jnk signaling
12
signaling pathway
12
hnf1a-as1
9
long noncoding
8
rna hnf1a-as1
8
glioma
8
apoptosis glioma
8
human cancers
8
hnf1a-as1 mir-363-3p
8

Similar Publications

Background: Despite the development of various therapeutic approaches over the past decades, the treatment of glioblastoma multiforme (GBM) remains a major challenge. The extracellular adenosine-generating enzyme, CD73, is involved in the pathogenesis and progression of GBM, and targeting CD73 may represent a novel approach to treat this cancer. In this study, three-dimensional culture systems based on three hydrogel compositions were characterized and an optimal type was selected to simulate the GBM microenvironment.

View Article and Find Full Text PDF

Proteomic and cytokine profiling of a CTRP8-RXFP1 glioma mouse model.

Biochem Pharmacol

December 2024

Department of Human Anatomy and Cell Science, Winnipeg, MB, Canada; Department of Pathology, University of Manitoba, Rady Faculty of Health Sciences, Max Rady College of Medicine, Winnipeg, MB, Canada; CancerCare Manitoba, Winnipeg, MB, Canada; Children's Hospital Research Institute of Manitoba (CHRIM), Winnipeg, MB, Canada. Electronic address:

Glioblastoma (GB) is the most prevalent and aggressive primary brain tumor with fatal outcome due to a lack of effective treatments. We previously identified C1q-tumor necrosis factor-related protein 8 (CTRP8), a new member of the adiponectin family, as a novel agonist of the relaxin family peptide receptor 1 (RXFP1) and showed that the CTRP8-RXFP1 ligand-receptor system facilitates increased invasiveness and chemoresistance in GB cells. In the present study, we have investigated the role of the CTRP8-RXFP1 signaling axis in glioma progression using an orthotopic mouse model xenografted with human U251 glioma cells stably expressing CTRP8 and RXFP1.

View Article and Find Full Text PDF

Background: The fatal diffuse midline gliomas (DMG) are characterized by an undruggable H3K27M mutation in H3.1 or H3.3.

View Article and Find Full Text PDF

TUBB2B regulates epithelial-mesenchymal transition via interaction with Vimentin to promote glioma migration and invasion.

Cancer Cell Int

December 2024

Department of Neurosurgery, The Affiliated Hospital, Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, China.

Background: Epithelial-mesenchymal transition (EMT) plays a crucial role in the migration and invasion capabilities of glioblastoma (GBM) cells. Several studies have established tubulin as a significant regulator of the EMT process. Tubulin beta 2B class IIb (TUBB2B), a critical component of microtubules, has been linked to the prognosis of various tumors.

View Article and Find Full Text PDF

Improved deep learning-based IVIM parameter estimation via the use of more "realistic" simulated brain data.

Med Phys

December 2024

Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, Fujian, China.

Background: Due to the low signal-to-noise ratio (SNR) and the limited number of b-values, precise parameter estimation of intravoxel incoherent motion (IVIM) imaging remains an open issue to date, especially for brain imaging where the relatively small difference between D and D easily leads to outliers and obvious graininess in estimated results.

Purpose: To propose a synthetic data driven supervised learning method (SDD-IVIM) for improving precision and noise robustness in IVIM parameter estimation without relying on real-world data for neural network training.

Methods: On account of the absence of standard IVIM parametric maps from real-world data, a novel model-based method for generating synthetic human brain IVIM data was introduced.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!