生物                        
                
                                
                        
                            癌症                        
                
                                
                        
                            新陈代谢                        
                
                                
                        
                            脆弱性(计算)                        
                
                                
                        
                            癌症研究                        
                
                                
                        
                            突变                        
                
                                
                        
                            遗传学                        
                
                                
                        
                            内分泌学                        
                
                                
                        
                            基因                        
                
                                
                        
                            计算机安全                        
                
                                
                        
                            计算机科学                        
                
                        
                    
            作者
            
                Yanfeng Liu,Fan Wang,Guoquan Yan,Yu Tong,Wenyun Guo,Songling Li,Yifei Qian,Qianyu Li,Yu Shu,Lei Zhang,Yonglong Zhang,Qiang Xia            
         
                    
            出处
            
                                    期刊:Cancer Letters
                                                         [Elsevier BV]
                                                        日期:2024-05-31
                                                        卷期号:595: 217006-217006
                                                        被引量:14
                                 
         
        
    
            
            标识
            
                                    DOI:10.1016/j.canlet.2024.217006
                                    
                                
                                 
         
        
                
            摘要
            
            Driver genomic mutations in tumors define specific molecular subtypes that display distinct malignancy competence, therapeutic resistance and clinical outcome. Although TP53 mutation has been identified as the most common mutation in hepatocellular carcinoma (HCC), current understanding on the biological traits and therapeutic strategies of this subtype has been largely unknown. Here, we reveal that fatty acid β oxidation (FAO) is remarkable repressed in TP53 mutant HCC and which links to poor prognosis in HCC patients. We further demonstrate that carnitine palmitoyltransferase 1 (CPT1A), the rate-limiting enzyme of FAO, is universally downregulated in liver tumor tissues, and which correlates with poor prognosis in HCC and promotes HCC progression in the de novo liver tumor and xenograft tumor models. Mechanically, hepatic Cpt1a loss disrupts lipid metabolism and acetyl-CoA production. Such reduction in acetyl-CoA reduced histone acetylation and epigenetically reprograms branched-chain amino acids (BCAA) catabolism, and leads to the accumulation of cellular BCAAs and hyperactivation of mTOR signaling. Importantly, we reveal that genetic ablation of CPT1A renders TP53 mutant liver cancer mTOR-addicted and sensitivity to mTOR inhibitor AZD-8055 treatment. Consistently, Cpt1a loss in HCC directs tumor cell therapeutic response to AZD-8055. Conclusion: Our results show genetic evidence for CPT1A as a metabolic tumor suppressor in HCC and provide a therapeutic approach for TP53 mutant HCC patients.
         
            
 
                 
                
                    
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