Sharma Nupur, Bhat Sadam H, Mathew Babu, Yadav Manisha, Tripathi Gaurav, Bindal Vasundhra, Yadav Sanju, Sharma Neha, Pandey Sushmita, Hemati Hami, Bohra Deepika, Rana Rashmi, Sharma Narendra Kumar, Falari Sanyam, Pamecha Viniyendra, Maras Jaswinder Singh
Department of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40506, USA.
Mol Ther Oncol. 2024 Nov 6;32(4):200904. doi: 10.1016/j.omton.2024.200904. eCollection 2024 Dec 19.
Carcinoma of the gall bladder (CAGB) has a poor prognosis. Molecular analysis of bile could classify indicators of CAGB. Bile samples ( = 87; training cohort) were screened for proteomics and metabolomics signatures of cancer detection. In bile, CAGB showed distinct proteomic (217 upregulated, 258 downregulated) and metabolomic phenotypes (111 upregulated, 505 downregulated, < 0.05, fold change > 1.5, false discovery rate <0.01) linked to significantly increased inflammation (coagulation, arachidonic acid, bile acid) and alternate energy pathways (pentose-phosphate pathway, amino acids, lipid metabolism); and decreased glycolysis, cholesterol metabolism, PPAR, RAS, and RAP1 signaling, oxidative phosphorylation, and others compared to gallstone or healthy controls ( < 0.05). Bile proteins/metabolites signatures showed significant correlation ( > 0.5, < 0.05) with clinical parameters. Metabolite/protein signature-based probability of detection for CAGB (cancer) was >90% ( < 0.05), with area under the receiver operating characteristic curve >0.94. Validation of the top four metabolites-toluene, 5,6-DHET, creatine, and phenylacetaldehyde-in separate cohorts ( = 80; bile [T1] and paired plasma [T2]) showed accuracy (99%) and sensitivity/specificity (>98%) for CAGB detection. Tissue validation showed bile 5,6-DHET positively correlated with tissue PCNA (proliferation), and caspase-3 linked to cancer development ( >0.5, < 0.05). In conclusion, the bile molecular landscape provides critical molecular understanding and outlines metabolomic indicator panels for early CAGB detection.
胆囊癌(CAGB)预后较差。胆汁的分子分析可以对胆囊癌指标进行分类。对87份胆汁样本(训练队列)进行筛查,以寻找癌症检测的蛋白质组学和代谢组学特征。在胆汁中,胆囊癌表现出与炎症(凝血、花生四烯酸、胆汁酸)显著增加以及能量代谢途径改变(磷酸戊糖途径、氨基酸、脂质代谢)相关的独特蛋白质组学(217个上调,258个下调)和代谢组学表型(111个上调,505个下调,P<0.05,变化倍数>1.5,错误发现率<0.01);与胆结石或健康对照相比,糖酵解、胆固醇代谢、PPAR、RAS和RAP1信号传导、氧化磷酸化等降低(P<0.05)。胆汁蛋白质/代谢物特征与临床参数显著相关(r>0.5,P<0.05)。基于代谢物/蛋白质特征的胆囊癌检测概率>90%(P<0.05),受试者工作特征曲线下面积>0.94。在单独的队列(n=80;胆汁[T1]和配对血浆[T2])中对前四种代谢物——甲苯、5,6-DHET、肌酸和苯乙醛进行验证,结果显示对胆囊癌检测的准确率为99%,敏感性/特异性>98%。组织验证显示胆汁5,6-DHET与组织PCNA(增殖)呈正相关,caspase-3与癌症发展相关(r>0.5,P<0.05)。总之,胆汁分子图谱为早期胆囊癌检测提供了关键的分子认识,并勾勒出代谢组学指标面板。