Molecular Insights and Prognosis Associated With RBM8A in Glioblastoma

Wei, Lei; Zou, Chun; Chen, Liechun; Lin, Yuan; Liang, Lucong; Hu, Beiquan; Mao, Yingwei; Zou, Donghua

doi:10.3389/fmolb.2022.876603

Cited by 8 publications

(5 citation statements)

References 56 publications

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“…Glioblastoma (GBM) is an aggressive cancer and the most common malignant brain tumor in adults ( Wei et al, 2022 ). GBM involves severe morbidity and it progresses rapidly, leading to extremely poor prognosis ( Hassn Mesrati et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of Candidate Genes Associated With Prognosis in Glioblastoma

Jiang

Tang

et al. 2022

Front. Mol. Neurosci.

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BackgroundGlioblastoma (GBM) is the most common malignant primary brain tumor, which associated with extremely poor prognosis.MethodsData from datasets GSE16011, GSE7696, GSE50161, GSE90598 and The Cancer Genome Atlas (TCGA) were analyzed to identify differentially expressed genes (DEGs) between patients and controls. DEGs common to all five datasets were analyzed for functional enrichment and for association with overall survival using Cox regression. Candidate genes were further screened using least absolute shrinkage and selection operator (LASSO) and random forest algorithms, and the effects of candidate genes on prognosis were explored using a Gaussian mixed model, a risk model, and concordance cluster analysis. We also characterized the GBM landscape of immune cell infiltration, methylation, and somatic mutations.ResultsWe identified 3,139 common DEGs, which were associated mainly with PI3K-Akt signaling, focal adhesion, and Hippo signaling. Cox regression identified 106 common DEGs that were significantly associated with overall survival. LASSO and random forest algorithms identified six candidate genes (AEBP1, ANXA2R, MAP1LC3A, TMEM60, PRRG3 and RPS4X) that predicted overall survival and GBM recurrence. AEBP1 showed the best prognostic performance. We found that GBM tissues were heavily infiltrated by T helper cells and macrophages, which correlated with higher AEBP1 expression. Stratifying patients based on the six candidate genes led to two groups with significantly different overall survival. Somatic mutations in AEBP1 and modified methylation of MAP1LC3A were associated with GBM.ConclusionWe have identified candidate genes, particularly AEBP1, strongly associated with GBM prognosis, which may help in efforts to understand and treat the disease.

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Section: Introductionmentioning

confidence: 99%

Identification of Candidate Genes Associated With Prognosis in Glioblastoma

Jiang

Tang

et al. 2022

Front. Mol. Neurosci.

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“…RBM8A is abnormally expressed in many cancer cells. 39,40 It regulates the proliferation and differentiation of neural progenitor cells and regulates the apoptosis of A549 cells. 41,42 To understand the function of RBM8A in PH, more investigations are needed.…”

Section: Discussionmentioning

confidence: 99%

Weighted gene co-expression network analysis reveals the hub genes associated with pulmonary hypertension

Wang

D²,

Liu

et al. 2023

Exp Biol Med (Maywood)

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Pulmonary hypertension (PH) is a cardiopulmonary vascular disease that acutely endangers human health and can be fatal. It progresses rapidly and has a high mortality rate. Its pathophysiology is complicated and still not completely elucidated; therefore, achieving treatment breakthroughs are difficult. In this study, data from 58 normal controls and 135 patients with PH were extracted from the GSE24988, GSE113439, and GSE117261 datasets in the Gene Expression Omnibus (GEO) database and screened for differentially expressed genes (DEGs). In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Weighted gene co-expression network analysis (WGCNA) was used to identify the key modules and hub genes associated with PH. Eight PH-associated hub genes were identified. Furthermore, correlation analysis between immune cell infiltration and hub genes was performed, and the receiver operating characteristic (ROC) curves showed that TARDBP had the best diagnostic efficacy. Moreover, a rat hypoxic pulmonary hypertension (HPH) model was generated, and the expression of hub genes in the lungs and pulmonary arteries of HPH rats was verified using western blotting assays. Our results showed that mTOR, PSMD2, RBM8A, SMARCA4, TARDBP, and UBXN7 were highly expressed in the lungs. In addition, EFTUD2, mTOR, RBM8A, SMARCA4, TARDBP, and UBXN7 were significantly upregulated, whereas DDB1 was significantly downregulated in the pulmonary arteries of HPH rats compared with those of controls. In conclusion, we identified PH hub genes with diagnostic and predictive value by performing WGCNA on data from the GEO database. Furthermore, we provided novel insights of PH that might be utilized to evaluate potential biomarker genes and therapeutic targets.

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“…This inhibition also leads to the downregulation of NF-κB, ERK, and AKT pathways induced by Notch signaling, further inhibiting the migration and invasion of glioblastoma [86]. RBM8A can enhance the invasive capabilities of glioblastoma by stimulating the transcriptional activation of Notch1 and STAT3, thereby activating the Notch/STAT signaling pathway [87,88]. EIF44A3 can promote GBM growth and invasion by regulating Notch1 expression through the STAT3-related pathway [89].…”

Section: Migration and Invasionmentioning

confidence: 99%

Mechanism of Notch Signaling Pathway in Malignant Progression of Glioblastoma and Targeted Therapy

Wang,

Gu,

Chen

et al. 2024

Biomolecules

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Glioblastoma multiforme (GBM) is the most aggressive form of glioma and the most common primary tumor of the central nervous system. Despite significant advances in clinical management strategies and diagnostic techniques for GBM in recent years, it remains a fatal disease. The current standard of care includes surgery, radiation, and chemotherapy, but the five-year survival rate for patients is less than 5%. The search for a more precise diagnosis and earlier intervention remains a critical and urgent challenge in clinical practice. The Notch signaling pathway is a critical signaling system that has been extensively studied in the malignant progression of glioblastoma. This highly conserved signaling cascade is central to a variety of biological processes, including growth, proliferation, self-renewal, migration, apoptosis, and metabolism. In GBM, accumulating data suggest that the Notch signaling pathway is hyperactive and contributes to GBM initiation, progression, and treatment resistance. This review summarizes the biological functions and molecular mechanisms of the Notch signaling pathway in GBM, as well as some clinical advances targeting the Notch signaling pathway in cancer and glioblastoma, highlighting its potential as a focus for novel therapeutic strategies.

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Molecular Insights and Prognosis Associated With RBM8A in Glioblastoma

Cited by 8 publications

References 56 publications

Identification of Candidate Genes Associated With Prognosis in Glioblastoma

Identification of Candidate Genes Associated With Prognosis in Glioblastoma

Weighted gene co-expression network analysis reveals the hub genes associated with pulmonary hypertension

Mechanism of Notch Signaling Pathway in Malignant Progression of Glioblastoma and Targeted Therapy

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