Dataset Information

M6A RNA Methylation Regulator HNRNPC Contributes to Tumorigenesis and Predicts Prognosis in Glioblastoma Multiforme.

ABSTRACT: Glioblastoma multiforme (GBM) is the most malignant glioma with a high death rate. N6-methyladenosine (m6A) RNA methylation plays an increasingly important role in tumors. The current study aimed to determine the function of the regulators of m6A RNA methylation in GBM. We evaluated the difference, interaction, and correlation of these regulators with TCGA database. HNRNPC, WTAP, YTHDF2 and, YTHDF1 were significantly upregulated in GBM. To explore the expression characteristics of regulators in GBM, we defined two subgroups through consensus cluster. HNRNPC, WTAP, and YTHDF2 were significantly upregulated in the cluster2 which had a good overall survival (OS). To investigate the prognostic value of regulators, we used lasso cox regression algorithm to screen an independent prognostic risk characteristic based on the expression of HNRNPC, ZC3H13, and YTHDF2. The prognostic feature between the low and high-risk groups was significantly different (P < 0.05), which could predict significance of prognosis (area under the curve (AUC) = 0.819). Moreover, we used western blot, RT-PCR, and immunohistochemical staining to verify the expression of HNRNPC was associated with malignancy and development of gliomas. Similarly, the high expression of HNRNPC had a good prognosis. In conclusion, HNRNPC is a vital participant in the malignant progression of GBM and might be valuable for prognosis.

SUBMITTER: Wang LC

PROVIDER: S-EPMC7578363 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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M6A RNA Methylation Regulator HNRNPC Contributes to Tumorigenesis and Predicts Prognosis in Glioblastoma Multiforme.

Wang Li-Chong LC Chen Shu-Hui SH Shen Xiao-Li XL Li Dang-Chi DC Liu Hai-Yun HY Ji Yu-Long YL Li Min M Yu Kai K Yang Huan H Chen Jun-Jun JJ Qin Chong-Zhen CZ Luo Ming-Ming MM Lin Qian-Xia QX Lv Qiao-Li QL

Frontiers in oncology 20201008

Glioblastoma multiforme (GBM) is the most malignant glioma with a high death rate. N6-methyladenosine (m6A) RNA methylation plays an increasingly important role in tumors. The current study aimed to determine the function of the regulators of m6A RNA methylation in GBM. We evaluated the difference, interaction, and correlation of these regulators with TCGA database. <i>HNRNPC, WTAP, YTHDF2</i> and, <i>YTHDF1</i> were significantly upregulated in GBM. To explore the expression characteristics of ...[more]

PMID: 33134160

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Project description:BackgroundPatients with mid-stage HCC (hepatocellular carcinoma) may benefit from transcatheter arterial chemoembolization (TACE). However, patient efficacy varies widely, and the detailed assessment index is unknown. The most general methylation alteration in mRNA (Messenger RNA), N6-methyladenosine (m6A), is controlled by the m6A regulator, which is associated with the emergence of tumors. To include the molecular causes of cancer, competition with ceRNA (endogenous RNA) networks is crucial. However, the exact processes they contribute to TACE HCC remain uncertain. The purpose of this study was tantamount to investigating the possible function of ceRNA networks and m6A regulators in patients with TACE HCC.MethodsGenes Associated with m6A were discovered using the TACE GEO (Gene Expression Omnibus) dataset. An additional estimate of M6A-associated DEGs (differentially expressed genes) was used to create a predictive response model, which is required. LncRNA-miRNA and miRNA-mRNA interactions were then predicted, the regulatory ceRNA network was set up using Cytoscape software, and target genes were identified using GEPIA online analysis. The connection between immunological checkpoints, immune cell marker genes, and target genes for immune cells was also examined.ResultsThe detection of 4 m6A-associated DEGs, the development and evaluation of 2 Machine learning models, and the development of risk models that accurately predicted the response rate of specific patients. Additionally, we obtained two miRNAs (micro RNAs)and six lncRNAs (Long non-coding RNAs), forming an 8-pair ceRNA network, and the target gene LRPPRC deletion of one copy number and gene expression was highly correlated with the amount of Tregs immune cells. LRPPRC was related positively with NRP1, IRF5, and ITGAM and negatively with CCR7 and CD8B among immune cell marker genes. We also discovered that LRPPRC correlates positively with immune checkpoint CD274 cells.ConclusionThe response of HCC patients to TACE therapy may be predicted using a model based on four gene expression data. We also developed a ceRNA network for TACE HCC related to m6A, which offered suggestions for more research into its molecular processes and possible prognostic indicators.

Dataset Information

M6A RNA Methylation Regulator HNRNPC Contributes to Tumorigenesis and Predicts Prognosis in Glioblastoma Multiforme.

Publications

M6A RNA Methylation Regulator HNRNPC Contributes to Tumorigenesis and Predicts Prognosis in Glioblastoma Multiforme.

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