A Risk Score Model Incorporating Three m6A RNA Methylation Regulators and a Related Network of miRNAs-m6A Regulators-m6A Target Genes to Predict the Prognosis of Patients With Ovarian Cancer.
Qian Li,Qian Li,Chen-Chen Ren,Chen-Chen Ren,Yan-Nan Chen,Yan-Nan Chen,Li Yang,Li Yang,Feng Zhang,Feng Zhang,Baojin Wang,Yuan-Hang Zhu,Yuan-Hang Zhu,Fei-Yan Li,Fei-Yan Li,Jun Yang,Jun Yang,Zhen-An Zhang,Zhen-An Zhang +18 more
TLDR
In this paper, a risk score model based on the three selected m6A regulators (VIRMA, IGF2BP1, and HNRNPA2B1) was built by performing a LASSO regression analysis, and the moderate accuracy of the risk score models to predict the prognosis of patients with ovarian cancer was examined by performing ROC curve, nomogram, and univariate and multivariate Cox regression analyses.Abstract:
Ovarian cancer (OC) is the leading cause of cancer-related death among all gynecological tumors. N6-methyladenosine (m6A)-related regulators play essential roles in various tumors, including OC. However, the expression of m6A RNA methylation regulators and the related regulatory network in OC and their correlations with prognosis remain largely unknown. In the current study, we obtained the genome datasets of OC from GDC and GTEx database and analyzed the mRNA levels of 21 key m6A regulators in OC and normal human ovarian tissues. The expression levels of 7 m6A regulators were lower in both the OC tissues and the high-stage group. Notably, the 5-year survival rate of patients with OC presenting low VIRMA expression or high HNRNPA2B1 expression was higher than that of the controls. Next, a risk score model based on the three selected m6A regulators (VIRMA, IGF2BP1, and HNRNPA2B1) was built by performing a LASSO regression analysis, and the moderate accuracy of the risk score model to predict the prognosis of patients with OC was examined by performing ROC curve, nomogram, and univariate and multivariate Cox regression analyses. In addition, a regulatory network of miRNAs-m6A regulators-m6A target genes, including 2 miRNAs, 3 m6A regulators, and 47 mRNAs, was constructed, and one of the pathways, namely, miR-196b-5p-IGF2BP1-PTEN, was initially validated based on bioinformatic analysis and assay verification. These results demonstrated that the risk score model composed of three m6A RNA methylation regulators and the related network of miRNAs-m6A regulators-m6A target genes is valuable for predicting the prognosis of patients with OC, and these molecules may serve as potential biomarkers or therapeutic targets in the future.read more
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Downregulation of Methyltransferase-Like 14 Promotes Ovarian Cancer Cell Proliferation Through Stabilizing TROAP mRNA
Yize Li,Hongyan Peng,Peng Jiang,Jiarui Zhang,Yongmei Zhao,Xuelian Feng,Cui Pang,J. L. Ren,Hongmei Zhang,W. Bai,Wenchao Liu +10 more
TL;DR: Analysis of m6A methylation regulators using The Cancer Genome Atlas and Gene Expression Omnibus datasets confirmed that METTL14 is a negative regulator of ovarian cancer cell proliferation via TROAP expression and that m 6A RNA methylation regulates TRO AP mRNA stability.
Journal ArticleDOI
LncRNA PELATON, a Ferroptosis Suppressor and Prognositic Signature for GBM
TL;DR: PELATON is a long noncoding RNA also known as long intergenic nonprotein coding RNA 1272 (LINC01272) as discussed by the authors , which is a promising target for the prognosis and treatment of GBM.
Journal ArticleDOI
HNRNPA2B1 Demonstrates Diagnostic and Prognostic Values Based on Pan-Cancer Analyses
TL;DR: It is found that HNRNPA2B1 with different methylation levels causes a varied prognosis in lung adenocarcinoma (LUAD) and is highly valued in the diagnosis of LUAD, lung squamous cell carcinoma, breast invasive carcinomas, esophageal carcinoma and liver hepatocellular carcinoma.
Journal ArticleDOI
Roles of N6-methyladenosine (m6A) modifications in gynecologic cancers: mechanisms and therapeutic targeting
Jia-Hua Chen,Bao Guo,Xiaojing Liu,Jing Zhang,Junhui Zhang,Yuan Fang,Suding Zhu,Bing Wei,Yunxia Cao,Lei Zhang +9 more
TL;DR: In this article , the role of m 6 A in gynecologic cancers is discussed and a review of the recent advancements in m 6A modification is presented to improve the understanding of the occurrence, diagnosis, treatment, and prognosis of gynecological cancers.
Journal ArticleDOI
N6-methyladenosine methylation regulator FTO promotes oxidative stress and induces cell apoptosis in ovarian cancer.
Jun Wu,Xiaoqin Wang,Xin Li +2 more
TL;DR: In this paper , a risk score model was constructed to predict the prognosis of patients with ovarian cancer based on The Cancer Genome Atlas, Genotype-Tissue Expression and Gene Expression Omnibus databases.
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