CUX2 prevents the malignant progression of gliomas by enhancing ADCY1 transcription

Yao, Guojun; Le, Shihai; Min, Sufang; Gao, Zhiqiang; Cai, Chuanxing; Deng, Ling

doi:10.1007/s00221-022-06481-w

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Previous studies have not found that ADCY1 is associated with epilepsy. ADCY1 regulate distinct aspects of synaptic and cognitive exibility, glioma development and Fragile X syndrome [40][41][42]. NeuroD6-mediated transcriptional regulatory pathways linking neuronal differentiation to survival [43].…”

Section: Discussionmentioning

confidence: 99%

Identification of pericyte loss and neutrophils infiltration in Focal cortical dysplasia by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing

Wang,

et al. 2024

Preprint

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Introduction Epilepsy is one of the most common serious brain conditions. Focal cortical dysplasia(FCD) is the most common diagnosis in children among patients with drug-resistant epilepsy who require surgical treatment. However, the pathogenic genes and the interaction between different cells of FCD are not clear, especially the immune mechanism of FCD remains nascent. We further analyze FCD data in terms of genes, cellular changes and immune infiltration by integrating bulk and single-cell sequencing data. Methods The scRNA-seq dataset GSE201048 and bulk RNA-seq dataset GSE62019 were combined to perform deconvolution to infer the cell composition ratio of samples in bulk RNA-seq of FCD. We used AUCell analysis, GO and KEGG enrichment analysis, cell communication analysis and WGCNA to analyze pericyte function and pericyte cell communication. PPI was used to identify hub genes. GSVA and The Pearson correlation analysis were used to identify relationships between hub genes and pericyte. We used logistic regression to construct a diagnostic model based on hub genes. Finally, we performed immune infiltration analysis. Results Pericytes were significantly reduced in FCD. Neutrophils cells were significantly different between the FCD group and the control group ( p < 0.05 ), and the degree of immune infiltration was higher in the FCD group. PPI network analysis identified 5 hub genes related to pericytes. Through LASSO regression analysis, we established a risk score model containing five genes. Conclusion This study provides a new perspective to study the molecular mechanism and cell changes in FCD. It was found for the first time that pericytes play an important role in FCD.

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Section: Discussionmentioning

confidence: 99%

Identification of pericyte loss and neutrophils infiltration in Focal cortical dysplasia by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing

Wang,

et al. 2024

Preprint

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“…SLC6A1 was up-regulated in colorectal cancer and can be used as an independent marker for colorectal cancer prognosis ( 29 ). Adenylyl cyclase 1 (ADCY1) overexpression inhibited glioma cell invasion, migration, and proliferation ( 30 ). Low expression of ADCY1 was related to pancreatic adenocarcinoma patients’ overall survival, and it was an independent risk factor for pancreatic adenocarcinoma ( 31 ).…”

Section: Discussionmentioning

confidence: 99%

A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer

et al. 2023

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BackgroundGamma-aminobutyric acid (GABA) participates in the migration, differentiation, and proliferation of tumor cells. However, the GABA-related risk signature has never been investigated. Hence, we aimed to develop a reliable gene signature based on GABA pathways-related genes (GRGs) to predict the survival prognosis of breast cancer patients.MethodsGABA-related gene sets were acquired from the MSigDB database, while mRNA gene expression profiles and corresponding clinical data of breast cancer patients were downloaded from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Univariate Cox regression analysis was used to identify prognostic-associated GRGs. Subsequently, LASSO analysis was applied to establish a risk score model. We also constructed a clinical nomogram to perform the survival evaluation. Besides, ESTIMATE and ssGSEA algorithms were used to assess the immune cell infiltration among the risk score subgroups.ResultsA GRGs-related risk score model was constructed in the TCGA cohort, and validated in the GSE21653 cohort. The risk score was significantly related to the overall survival of breast cancer patients, which could predict the survival prognosis of breast cancer patients independently of other clinical features. Breast cancer patients in the low-risk score group exhibited higher immune cell infiltration levels.ConclusionA novel prognostic model containing five GRGs could accurately predict the survival prognosis and immune infiltration of breast cancer patients. Our findings provided a novel insight into investigating the immunoregulation roles of GRGs.

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CUX2 prevents the malignant progression of gliomas by enhancing ADCY1 transcription

Cited by 2 publications

References 22 publications

Identification of pericyte loss and neutrophils infiltration in Focal cortical dysplasia by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing

Identification of pericyte loss and neutrophils infiltration in Focal cortical dysplasia by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing

A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer

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