| Background: Liver,one of the largest digestive organs in the human body,participates in the metabolism of many substances.More and more evidence show that metabolic changes have important guiding significance for the diagnosis,treatment and prognosis of HCC.But the effects of metabolism-related genes(MRGs)on HCC have not been well studied.Method: Expression profiles from MRGs in 374 HCC patients were retrieved from the TCGA database(https://portal.gdc.cancer.gov).Differentially expressed MRGs and MRGs related to overall patient survival were identified.Cox proportional-hazard models were used to investigate the association between MRG expression profiles and patient prognosis.Results: Twenty-seven MRGs were significantly associated with the overall survival of HCC patients.Seven of these MRGs had a mutation rate≥ 3%.Patients were divided into two parts.Patient with high risk score joined high-risk part and with low risk score joined low-risk part.Risk score was based on Cox regression analysis of 8 MRGs(Risk score =[Expression level of DTYMK ×(0.26965)] + [Expression level of LCAT ×(-0.11710)] + [Expression level of LPCAT1 ×(0.34110)] + [Expression level of TK1 ×(-0.29311)] + [Expression level of PKM ×(-0.16456)] +[Expression level of PFKFB4 ×(0.39436)] + [Expression level of RRM2 ×(0.20864)] + [Expression level of UCK2 ×(0.42270)]).Low-risk patients had a significantly longer survival time than high-risk patients(p < 0.001).Univariate and multivariate Cox regression analysis showed that the resulting risk score,which was associated with infiltration depth and tumor stage,could be an independent predictor of patient survival.A nomogram was established to predict 1-,3-,and 5-year survival of HCC patients based on 5 independent prognosis factors,including the risk score.Conclusion: The 8 MRGs can be used to predict the prognosis of patients and provide information for their individualized treatment. |
