Journal
ONCOTARGETS AND THERAPY
Volume 13, Issue -, Pages 10785-10795Publisher
DOVE MEDICAL PRESS LTD
DOI: 10.2147/OTT.S276239
Keywords
gastric cancer; prognosis; least absolute shrinkage and selection operator; survival analysis; RNA methylation
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Funding
- Cancer Research Program of National Cancer Center [NCC2017A14]
- Medical-Industrial Cross research Fund [LD202025, LD202027]
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Background: 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. Methods: 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. Results: 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. Conclusion: The two-methylase combination model was an independent prognostic factor of GC.
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