生物                        
                
                                
                        
                            细胞                        
                
                                
                        
                            癌症研究                        
                
                                
                        
                            边距(机器学习)                        
                
                                
                        
                            免疫学                        
                
                                
                        
                            细胞生物学                        
                
                                
                        
                            遗传学                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            机器学习                        
                
                        
                    
            作者
            
                Benjamin Ruf,Matthias Bruhns,Sepideh Babaei,Noémi Kedei,Lichun Ma,Mahler Revsine,Mohamed-Reda Benmebarek,Chi Ma,Bernd Heinrich,Varun Subramanyam,Jonathan Qi,Simon Wabitsch,Benjamin L. Green,Kylynda C. Bauer,Yuta Myojin,Layla T. Greten,Justin McCallen,Patrick Huang,Rajiv Trehan,Xin Wei Wang            
         
                    
            出处
            
                                    期刊:Cell
                                                         [Cell Press]
                                                        日期:2023-08-01
                                                        卷期号:186 (17): 3686-3705.e32
                                                        被引量:109
                                 
         
        
    
            
            标识
            
                                    DOI:10.1016/j.cell.2023.07.026
                                    
                                
                                 
         
        
                
            摘要
            
            Summary
 Mucosal-associated invariant T (MAIT) cells represent an abundant innate-like T cell subtype in the human liver. MAIT cells are assigned crucial roles in regulating immunity and inflammation, yet their role in liver cancer remains elusive. Here, we present a MAIT cell-centered profiling of hepatocellular carcinoma (HCC) using scRNA-seq, flow cytometry, and co-detection by indexing (CODEX) imaging of paired patient samples. These analyses highlight the heterogeneity and dysfunctionality of MAIT cells in HCC and their defective capacity to infiltrate liver tumors. Machine-learning tools were used to dissect the spatial cellular interaction network within the MAIT cell neighborhood. Co-localization in the adjacent liver and interaction between niche-occupying CSF1R+PD-L1+ tumor-associated macrophages (TAMs) and MAIT cells was identified as a key regulatory element of MAIT cell dysfunction. Perturbation of this cell-cell interaction in ex vivo co-culture studies using patient samples and murine models reinvigorated MAIT cell cytotoxicity. These studies suggest that aPD-1/aPD-L1 therapies target MAIT cells in HCC patients.
         
            
 
                 
                
                    
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