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
作者机构：Nursing DepartmentRenmin Hospital of Wuhan UniversityWuhan430060China Oncology DepartmentRenmin Hospital of Wuhan UniversityWuhan430060China Department of Engineering Structure and MechanicsSchool of ScienceWuhan University of TechnologyWuhan430070China
出 版 物：《BIOCELL》 (生物细胞（英文）)
年 卷 期：2023年第47卷第3期
页 面：581-592页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：SPP1 Hepatocellular carcinoma BPNN Survival Immune cells
摘 要：Hepatocellular carcinoma(HCC)is associated with poor prognosis and fluctuations in immune *** studies have found that secreted phosphoprotein 1(SPP1)is involved in HCC progression,its independent prognostic value and immune-mediated role remain *** The Cancer Genome Atlas and Gene Expression Omnibus data,we found that low expression of SPP1 is significantly associated with improved survival of HCC patients and that SPP1 expression is correlated with clinical *** and multivariate Cox regression confirmed that SPP1 is an independent prognostic factor of ***,we found that T cell CD4 memory-activated monocytes,M0 macrophages,and resting mast cells showed significant differences in penetration in the high and low SPP1 expression ***,we used the Weighted Gene Co-Expression Network and Least Absolute Shrinkage Sum Selection Operator algorithms to construct a risk score for the 9-immune-related genes *** risk score showed a good ability to identify high and low-risk patients and improved survival *** also used multivariate Cox regression to validate that risk score was significantly correlated with SPP1 and overall ***,the Back-Propagation Neural Network confirmed the reliability of the results of multiple *** conclusion,the findings suggest that SPP1 is an independent marker of HCC survival and immunotherapy.
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