首页|Shandong Vocational Animal Science and Veterinary College Reports Findings in Li ver Cancer (Machine learning-based disulfidptosis-related lncRNA signature predi cts prognosis,immune infiltration and drug sensitivity in hepatocellular carcin oma)
Shandong Vocational Animal Science and Veterinary College Reports Findings in Li ver Cancer (Machine learning-based disulfidptosis-related lncRNA signature predi cts prognosis,immune infiltration and drug sensitivity in hepatocellular carcin oma)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Liver Cance r is the subject of a report.According to news originating from Shandong,Peopl e's Republic of China,by NewsRx correspondents,research stated,"Disulfidptosi s a new cell death mode,which can cause the death of Hepatocellular Carcinoma ( HCC) cells.However,the significance of disulfidptosis-related Long non-coding RNAs (DRLs) in the prognosis and immunotherapy of HCC remains unclear." Funders for this research include National Natural Science Foundation of China,East China Normal University Interdisciplinary Advancement Project.Our news journalists obtained a quote from the research from Shandong Vocational Animal Science and Veterinary College,"Based on The Cancer Genome Atlas (TCGA) database,we used Least Absolute Shrinkage and Selection Operator (LASSO) and C ox regression model to construct DRL Prognostic Signature (DRLPS)-based risk sco res and performed Gene Expression Omnibus outside validation.Survival analysis was performed and a nomogram was constructed.Moreover,we performed functional enrichment annotation,immune infiltration and drug sensitivity analyses.Five D RLs (AL590705.3,AC072054.1,AC069307.1,AC107959.3 and ZNF232-AS1) were identif ied to construct prognostic signature.DRLPSbased risk scores exhibited better predictive efficacy of survival than conventional clinical features.The nomogra m showed high congruence between the predicted survival and observed survival.G ene set were mainly enriched in cell proliferation,differentiation and growth f unction related pathways.Immune cell infiltration in the low-risk group was sig nificantly higher than that in the high-risk group.Additionally,the high-risk group exhibited higher sensitivity to Afatinib,Fulvestrant,Gefitinib,Osimerti nib,Sapitinib,and Taselisib."
ShandongPeople's Republic of ChinaAs iaCancerCarcinomasCyborgsDrugs and TherapiesEmerging TechnologiesHea lth and MedicineLiver CancerMachine LearningOncology
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