&lt;p&gt;Long Non-Coding RNA AGAP2-AS1/miR-628-5p/PTN Axis Modulates Proliferation, Migration, Invasion, and Apoptosis of Glioma Cells&lt;/p&gt;

Yang, Yan; Wang, Yiping; Liu, Yuxia; Chen, Tao; Zhu, Yaoli; Li, Huiqing; Kong, Fangen

doi:10.2147/cmar.s250890

Cited by 5 publications

(2 citation statements)

References 32 publications

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“…Yan et al. confirmed that AGAP2-AS1 regulated the migration, invasion, proliferation and apoptosis of glioma cells via the miR-628-5p/PTN axis ( 46 ). We found that AGAP2-AS1 modulated the proliferation, migration and invasion of CCA, and Ji et al.…”

Section: Discussionmentioning

confidence: 98%

Identification of therapeutic targets and prognostic biomarkers in cholangiocarcinoma via WGCNA

Xiao

et al. 2022

Front. Oncol.

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BackgroundCholangiocarcinoma (CCA) is a highly aggressive malignant tumor for which limited treatment methods and prognostic signatures are available. This study aims to identify potential therapeutic targets and prognostic biomarkers for CCA.MethodsBased on differentially expressed genes (DEGs) identified from The Cancer Genome Atlas (TCGA) data, our study identified key gene modules correlated with CCA patient survival by weighted gene coexpression network analysis (WGCNA). Cox regression analysis identified survival-related genes in the key gene modules. The biological properties of the survival-related genes were evaluated by CCK-8 and transwell assays. Then, these genes were used to construct a prognostic signature that was internally and externally validated. Additionally, by combining clinical characteristics with the gene−based prognostic signature, a nomogram for survival prediction was built.ResultsWGCNA divided the 1531 DEGs into four gene modules, and the yellow gene module was significantly associated with overall survival (OS) and histologic neoplasm grade. Our study identified the lncRNA AGAP2−AS1 and a novel gene, GOLGA7B, that are closely related to survival. GOLGA7B downregulation promoted the invasion, migration and proliferation of CCA cells, but AGAP2−AS1 had the opposite effect. AGAP2−AS1 and GOLGA7B were integrated into a gene−based prognostic signature, and both internal and external validation studies confirmed that this two-gene prognostic signature and nomogram could accurately predict CCA patient prognosis.ConclusionAGAP2−AS1 and GOLGA7B are potential therapeutic targets and prognostic biomarkers for CCA.

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Section: Discussionmentioning

confidence: 98%

Identification of therapeutic targets and prognostic biomarkers in cholangiocarcinoma via WGCNA

Xiao

et al. 2022

Front. Oncol.

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“…23 Furthermore, a study showed that glioma cells proliferation, migration and invasion were promoted, and apoptosis was suppressed by the long non-coding RNA AGAP2-AS1 through miR-628-PTN axis regulation. 24 All these studies have indicated that miR-764 and miR-628 are associated with apoptosis and are closely linked to drug resistance. Moreover, our study found that circ-0007312 and miR-764 can be detected in plasma, indicating their potential to be prognostic biomarkers.…”

Section: Discussionmentioning

confidence: 99%

Construction of a circRNA-miRNA-mRNA Regulated Pathway Involved in EGFR-TKI Lung Adenocarcinoma Resistance

Dai

Liu

et al. 2021

Technol Cancer Res Treat

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Objectives: Epidermal growth factor receptor-tyrosine kinase inhibitors are widely used for lung epidermal growth factor receptor-positive lung adenocarcinomas, but acquired resistance is inevitable. Although non-coding RNAs, such as circular RNA and microRNA, are known to play vital roles in epidermal growth factor receptor-tyrosine kinase inhibitor resistance, comprehensive analysis is lacking. Thus, this study aimed to explore the circular RNA-microRNA-messenger RNA regulatory network involved in epidermal growth factor receptor-tyrosine kinase inhibitor resistance. Methods: To identify differentially expressed genes between the epidermal growth factor receptor-tyrosine kinase inhibitor sensitive cell line PC9 and resistant cell line PC9/ epidermal growth factor receptor-tyrosine kinase inhibitor resistance(PC9/ER), circular RNA, microRNA and messenger RNA microarrays were performed. Candidates were then identified to construct a circular RNA-microRNA-messenger RNA network using bioinformatics. Additionally, Gene Oncology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were conducted to evaluate the network messenger RNA, setting up a protein-protein interaction network for hub-gene identification. Afterwards, RNA immunoprecipitation was performed to enrich microRNA, and quantitative real-time PCR was used to estimated gene expression levels. Results: In total, 603, 377, and 1863 differentially expressed circular RNA, microRNA, messenger RNAs, respectively, were identified using microarray analysis, constructing a circular RNA-microRNA-messenger RNA network containing 18 circular RNAs, 17 microRNAs and 175 messenger RNAs. Moreover, Gene Oncology and Kyoto Encyclopedia of Genes and Genomes pathway analyses showed that the most enriched biological process terms and pathways were related to epidermal growth factor receptor-tyrosine kinase inhibitor resistance, including Wnt and Hippo signaling pathways. Based on the competing endogenous RNA and protein-protein interaction network, circ-0007312 was showed to interact with miR-764 and both circ-0003748 and circ-0001398 were shown to interact with miR-628; both these microRNAs targeted MAPK1. Furthermore, circ-0007312, circ-0003748, circ-0001398, and MAPK1 were up-regulated, whereas miR-764 and miR-628 were downregulated in PC9/ER cells as compared to parental PC9 cells. We also found that circ-0007312 and miR-764 were positively expressed in plasma. Conclusions: Our original study associated with mechanism of target therapy in lung cancer provided a systematic and comprehensive regulation of circular RNA, microRNA and messenger RNA in epidermal growth factor receptor-tyrosine kinase inhibitor resistance. It was found that circ-0007312- miR-764-MAPK1, circ-0003748-miR-628-MAPK1, and circ-0001398-miR-628-MAPK1 axis may play key roles in epidermal growth factor receptor-tyrosine kinase inhibitor resistance.

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Novel signature of ferroptosis-related long non-coding RNA to predict lower-grade glioma overall survival

Wu,

Zhong

et al. 2024

Discov Onc

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<p>Long Non-Coding RNA AGAP2-AS1/miR-628-5p/PTN Axis Modulates Proliferation, Migration, Invasion, and Apoptosis of Glioma Cells</p>

Cited by 5 publications

References 32 publications

Identification of therapeutic targets and prognostic biomarkers in cholangiocarcinoma via WGCNA

Identification of therapeutic targets and prognostic biomarkers in cholangiocarcinoma via WGCNA

Construction of a circRNA-miRNA-mRNA Regulated Pathway Involved in EGFR-TKI Lung Adenocarcinoma Resistance

Novel signature of ferroptosis-related long non-coding RNA to predict lower-grade glioma overall survival

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