Identification and validation of a prognostic signature of m(5)C-related genes for esophageal cancer

鉴定和验证m(5)C相关基因的食管癌预后特征

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Abstract

BACKGROUND: Esophageal cancer (ESCA) is one of the most common malignancies, and has a poor prognosis. The role of 5-methylcytosine (m(5)C) regulators has been linked to carcinogenesis in a number of cancers. However, the role of m(5)C regulators in ESCA is unclear. This study sought to examine the relationships between m(5)C regulators and the tumorigenesis of ESCA. METHODS: Based on the expression of the m(5)C regulators in 11 normal tissue and 142 tumor tissue samples from The Cancer Genome Atlas (TCGA) database, two ESCA subtypes were identified. The two ESCA subtypes, normal and tumor tissue samples from TCGA, and normal and tumor tissue samples from validation datasets were analyzed to identify the differentially expressed genes (DEGs). To investigate the biological function of the m(5)C regulators in ESCA, a functional analysis was conducted, and a prognostic model was established. Using reverse transcription-quantitative polymerase chain reaction (RT-qPCR), PLA2G2F, HHIP, TNXB, and STK31 expression was detected in the ESCA and adjacent esophageal tissues. RESULTS: The m(5)C regulators, including TRDMT1, NSUN2, NSUN4, NSUN6, DNMT1, ALYREF, and YBX1, were upregulated in the ESCA subtype 2 group. Further, the gene set variation analysis (GSVA) and correlation analysis revealed that the m(5)C regulators were positively correlated with the E2 promoter-binding factor (E2F) transcription factor 1 targets and the G2 phase to M phase checkpoint (G2M), and were negatively correlated with tumor necrosis factor-signaling via nuclear factor kappa beta pathways. Four independent prognostic genes (i.e., PLA2G2F, HHIP, TNXB, and STK31) were selected to construct a model to predict the prognosis of ESCA patients. According to the RT-qPCR analysis, PLA2G2 expression was higher in the ESCA tissues than the adjacent tissues, while STK31, HHIP, and TNXB expression was lower. CONCLUSIONS: Two subtypes of m(5)C regulators in ESCA patients were explored. Our findings may improve the understanding of m(5)C regulators in the biology of ESCA.

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