Establishment of a prognosis predictive model for liver cancer based on expression of genes involved in the ubiquitin-proteasome pathway
作者机构：Department of EndoscopyTianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for CancerKey Laboratory of Cancer Prevention and Therapy of TianjinTianjin’s Clinical Research Center for CancerTianjin 300060China Department of Critical Care MedicineDingzhou City People’s HospitalDingzhou 073000Hebei ProvinceChina Department of OncologyTianjin Academy of Traditional Chinese Medicine Affiliated HospitalTianjin 300120China Tianjin Marvel Medical LaboratoryTianjin Marvelbio Technology Co.LtdTianjin 300180China Department of Intelligent TechnologyTianjin Yunquan Intelligent Technology Co.LtdTianjin 300381China Department of OncologyTianjin Huanhu HospitalTianjin 300350China
出 版 物：《World Journal of Clinical Oncology》 (世界临床肿瘤学杂志（英文版）)
年 卷 期：2024年第15卷第3期
页 面：434-446页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金：the Tianjin Municipal Natural Science Foundation No.21JCYBJC01110
主 题：Liver cancer Ubiquitin-proteasome pathway Prognosis prediction Gene expression Immune infiltration
摘 要：BACKGROUND The ubiquitin-proteasome pathway(UPP)has been proven to play important roles in *** To investigate the prognostic significance of genes involved in the UPP and develop a predictive model for liver cancer based on the expression of these *** In this study,UPP-related E1,E2,E3,deubiquitylating enzyme,and proteasome gene sets were obtained from the Kyoto Encyclopedia of Genes and Genomes(KEGG)database,aiming to screen the prognostic genes using univariate and multivariate regression analysis and develop a prognosis predictive model based RESULTS Five genes(including autophagy related 10,proteasome 20S subunit alpha 8,proteasome 20S subunit beta 2,ubiquitin specific peptidase 17 like family member 2,and ubiquitin specific peptidase 8)were proven significantly correlated with prognosis and used to develop a prognosis predictive model for liver *** training,validation,and Gene Expression Omnibus sets,the overall survival differed significantly between the high-risk and low-risk *** expression of the five genes was significantly associated with immunocyte infiltration,tumor stage,and postoperative recurrence.A total of 111 differentially expressed genes(DEGs)were identified between the high-risk and low-risk groups and they were enriched in 20 and 5 gene ontology and KEGG *** division cycle 20,Kelch repeat and BTB domain containing 11,and DDB1 and CUL4 associated factor 4 like 2 were the DEGs in the E3 gene set that correlated with *** We have constructed a prognosis predictive model in patients with liver cancer,which contains five genes that associate with immunocyte infiltration,tumor stage,and postoperative recurrence.
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