SPP1 and the risk score model to improve the survival prediction of patients with hepatocellular carcinoma based on multiple algorithms and back propagation neural networks

Hepatocellular carcinoma (HCC) is associated with poor prognosis and fluctuations in immune status. Although studies have found that secreted phosphoprotein 1 (SPP1) involved HCC progression, its independent prognostic value immune-mediated role remain unclear. Using The Cancer Genome Atlas Gene Expression Omnibus data, we low expression of SPP1 significantly improved survival patients correlated clinical characteristics. Univariate multivariate Cox regression confirmed an factor HCC. Subsequently, T cell CD4 memory-activated monocytes, M0 macrophages, resting mast cells showed significant differences penetration the high groups. Next, used Weighted Co-Expression Network Least Absolute Shrinkage Sum Selection Operator algorithms to construct a risk score for 9-immune-related genes signature. good ability identify low-risk prediction. We also validate was overall survival. Lastly, Back-Propagation Neural reliability results multiple algorithms. In conclusion, findings suggest marker immunotherapy.