To Develop and Validate the Combination of RNA Methylation Regulators for the Prognosis of Patients with Gastric Cancer

Gastric cancer (GC) accounts for high mortality. RNA methylation has recently gained interest as markers in specific tumors. This study aimed to uncover the function of the roles of 25 RNA methylation regulators in GC. RNA sequence and clinical data were downloaded from The Cancer Genome Atlas (TCGA...

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Bibliographic Details
Published in:OncoTargets and therapy 2020-01, Vol.13, p.10785-10795
Main Authors: Zhang, Jun, Piao, Hai-Yan, Wang, Yue, Meng, Xiang-Yu, Yang, Dong, Zhao, Yan, Zheng, Zhi-Chao
Format: Article
Language:English
Subjects:
Body fat
Cell culture
Cluster analysis
Enzymes
Epigenetics
Gastric cancer
Gene expression
Genomes
Immunohistochemistry
Medical prognosis
Methylase
Methylation
N6-methyladenosine
Nucleotide sequence
Original Research
Polymerase chain reaction
Prediction models
Principal components analysis
Proteins
RBM15 protein
Ribonucleic acid
RNA
Tumors
Writers
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Summary:Gastric cancer (GC) accounts for high mortality. RNA methylation has recently gained interest as markers in specific tumors. This study aimed to uncover the function of the roles of 25 RNA methylation regulators in GC. RNA sequence and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. "STRING" and R were performed to analyze the correlation among the methylase. COX and LASSO were performed to screen for prognostic associated RNA methylation regulators. A prognostic model was established based on the expression of methylase. RT-PCR and immunohistochemistry detected the expression of methylase in GC cells and tissue. Kaplan-Meier curve and Cox analysis were applied to evaluate the effectiveness of the model. The prediction model was established based on the expression of m6A RNA methylation regulators FTO (fat mass and obesity-associated) and RBM15 (RNA binding motif protein 15). Based on the model, GC patients were divided into "high risk" and "low risk" groups to compare the differences in survival. The model was re-evaluated with the clinical data of our center. The two-methylase combination model was an independent prognostic factor of GC.
ISSN:1178-6930
1178-6930
DOI:10.2147/OTT.S276239