Identification and Validation of Nicotinamide metabolism-Related Gene Signatures as a Novel Prognostic Model for hepatocellular carcinoma

Author:

Yang Sijia1,Li Ang1,Lv Lihong2,Duan Jinxin1,Zheng Zhihua1,Yang Weibang3,Zhuo Wenfeng4,Min Jun2,Wei Jinxing2

Affiliation:

1. Sun Yat-sen University

2. Sun Yat-sen Memorial Hospital

3. Second Affiliated Hospital of Guangzhou Medical University

4. Fifth Affiliated Hospital of Sun Yat-sen University

Abstract

Abstract Background Nicotinamide (NAM) regulates redox and metabolic activities in the mitochondria. The intention of the research was to identify key genes that relate to nicotinamide in hepatocellular carcinoma (HCC). Methods Relevant clinical information were collected as well as RNA-seq data using the Cancer Genome Atlas (TCGA) database. Differential analysis was used to discover the genes that were differently expressed. On the key genes associated with NAM, functional enrichment analysis were carried out. Next, receiver operating characteristic (ROC) and prognosis Kaplan-Meier (K-M) curve analyses were used to evaluate the importance of important gene expression, respectively. The immune cell signatures were estimated using the CIBERSORT algorithm. The key genes were validated using clinical RT-qPCR finally, and experiments were performed to verify inhibitory effect of NAM on HCC. Results Six prognostic key genes (NAXE, NADSYN1, NT5C, NT5C3A, PNP and NT5E) were identified. There is an association between the level of key gene expression and the clinical prognosis. Four key genes (NAXE, NADSYN1, NT5C and NT5C3A) have statistical significance of survival prognosis. Finally, the expression of NAM-related genes and the inhibitory effect of NAM on HCC were verified by experiments. Conclusion The study first found some Nicotinamide metabolism-related differentially expressed genes (NMRDEGs) that are related to HCC can contribute to predicting survival and monitoring the treatment.

Publisher

Research Square Platform LLC

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