首页|First Affiliated Hospital of Wenzhou Medical University Reports Findings in Lary ngeal Cancer (Molecular characterization, immunocorrelation analysis, WGCNA anal ysis and machine learning modeling of genes associated with copper death subtype s of ...)
First Affiliated Hospital of Wenzhou Medical University Reports Findings in Lary ngeal Cancer (Molecular characterization, immunocorrelation analysis, WGCNA anal ysis and machine learning modeling of genes associated with copper death subtype s of ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Laryngeal C ancer is the subject of a report. According to news reporting out of Wenzhou, Pe ople's Republic of China, by NewsRx editors, research stated, "Laryngeal cancer is a malignant tumor that originates from the mucous membrane of the larynx. Cur rently, the specific involvement mechanism of copper death in laryngeal cancer p atients has not been deeply studied." Our news journalists obtained a quote from the research from the First Affiliate d Hospital of Wenzhou Medical University, "This study aims to explore the molecu lar characteristics and clinical survival significance of copper death-related g enes in laryngeal cancer. Relevant transcriptomes and clinical data were retriev ed and downloaded from the GEO database. Differential expression genes related t o laryngeal cancer and copper death were selected, and the immune function, clin ical risk correlation, and survival prognosis were analyzed. The differential an alysis results showed that the differential expression genes related to laryngea l cancer and Cu-proptosis included SLC31A1 and ATP7B, and there was interaction between the immune cell groups in the differential genes of copper death in lary ngeal cancer. Decreasing the expression of the gene ANXA5 or increasing the expr ession of the gene SERPINH1 can increase the susceptibility to laryngeal cancer. Copper death-related genes can affect the survival prognosis of laryngeal cance r patients."
WenzhouPeople's Republic of ChinaAsi aCancerCyborgsEmerging TechnologiesGeneticsHealth and MedicineLaryng eal CancerLaryngeal NeoplasmsMachine LearningOncology
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