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.
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http://dx.doi.org/10.1002/jcp.29916 | DOI Listing |
Biomed Eng Online
December 2024
Department of Tissue Engineering and Applied Cell Sciences, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
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 PDFBiochem 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 PDFGenome Biol
December 2024
Department of Pathology, Stanford University, Stanford, CA, 94305, USA.
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 PDFCancer 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 PDFMed 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.
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