Identification of crucial genes of pyrimidine metabolism as biomarkers for gastric cancer prognosis

鉴定嘧啶代谢关键基因作为胃癌预后的生物标志物

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作者:Zhengxin Wu #, Jinshui Tan #, Yifan Zhuang #, Mengya Zhong, Yubo Xiong, Jingsong Ma, Yan Yang, Zhi Gao, Jiabao Zhao, Zhijian Ye, Huiwen Zhou, Yuekun Zhu, Haijie Lu, Xuehui Hong

Background

Metabolic reprogramming has been reported in various kinds of cancers and is related to clinical prognosis, but the prognostic role of pyrimidine metabolism in gastric cancer (GC) remains unclear.

Conclusion

In a word, our research found that pyrimidine metabolism is dysregulated in GC and established a prognostic model of GC based on genes differentially expressed in pyrimidine metabolism.

Methods

Here, we employed DEG analysis to detect the differentially expressed genes (DEGs) in pyrimidine metabolic signaling pathway and used univariate Cox analysis, Lasso-penalizes Cox regression analysis, Kaplan-Meier survival analysis, univariate and multivariate Cox regression analysis to explore their prognostic roles in GC. The DEGs were experimentally validated in GC cells and clinical samples by quantitative real-time PCR.

Results

Through DEG analysis, we found NT5E, DPYS and UPP1 these three genes are highly expressed in GC. This

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