类有机物                        
                
                                
                        
                            蛋白质基因组学                        
                
                                
                        
                            癌症研究                        
                
                                
                        
                            转录组                        
                
                                
                        
                            CDKN2A                        
                
                                
                        
                            干细胞                        
                
                                
                        
                            医学                        
                
                                
                        
                            计算生物学                        
                
                                
                        
                            癌症                        
                
                                
                        
                            内科学                        
                
                                
                        
                            基因组学                        
                
                                
                        
                            基因组                        
                
                                
                        
                            生物                        
                
                                
                        
                            基因                        
                
                                
                        
                            遗传学                        
                
                                
                        
                            基因表达                        
                
                        
                    
            作者
            
                Soo Young Cho,Heeyoun Hwang,Yun‐Hee Kim,Byong Chul Yoo,Nayoung Han,Sun‐Young Kong,Min Jeong Baek,Kyung‐Hee Kim,Mi Rim Lee,Jae Gwang Park,Sung‐Sik Han,Woo Jin Lee,Charny Park,Jong Bae Park,Jin Young Kim,Sang‐Jae Park,Sang Myung Woo            
         
                    
            出处
            
                                    期刊:Gastroenterology
                                                         [Elsevier BV]
                                                        日期:2023-03-09
                                                        卷期号:164 (7): 1293-1309
                                                        被引量:34
                                 
         
        
    
            
            标识
            
                                    DOI:10.1053/j.gastro.2023.02.045
                                    
                                
                                 
         
        
                
            摘要
            
            Intrahepatic cholangiocarcinomas (iCCs) are characterized by their rarity, difficult diagnosis, and overall poor prognosis. The iCC molecular classification for developing precision medicine strategies was investigated.Comprehensive genomic, transcriptomic, proteomic, and phosphoproteomic analyses were performed on treatment-naïve tumor samples from 102 patients with iCC who underwent surgical resection with curative intent. An organoid model was constructed for testing therapeutic potential.Three clinically supported subtypes (stem-like, poorly immunogenic, and metabolism) were identified. NCT-501 (aldehyde dehydrogenase 1 family member A1 [ALDH1A1] inhibitor) exhibited synergism with nanoparticle albumin-bound-paclitaxel in the organoid model for the stem-like subtype. The oncometabolite dysregulations were associated with different clinical outcomes in the stem-like and metabolism subtypes. The poorly immunogenic subtype harbors the non-T-cell tumor infiltration. Integrated multiomics analysis not only reproduced the 3 subtypes but also showed heterogeneity in iCC.This large-scale proteogenomic analysis provides information beyond that obtained with genomic analysis, allowing the functional impact of genomic alterations to be discerned. These findings may assist in the stratification of patients with iCC and in developing rational therapeutic strategies.
         
            
 
                 
                
                    
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