{"title":"胆汁分子景观提供病理洞察和分类特征预测胆囊癌。","authors":"Nupur Sharma, Sadam H Bhat, Babu Mathew, Manisha Yadav, Gaurav Tripathi, Vasundhra Bindal, Sanju Yadav, Neha Sharma, Sushmita Pandey, Hami Hemati, Deepika Bohra, Rashmi Rana, Narendra Kumar Sharma, Sanyam Falari, Viniyendra Pamecha, Jaswinder Singh Maras","doi":"10.1016/j.omton.2024.200904","DOIUrl":null,"url":null,"abstract":"<p><p>Carcinoma of the gall bladder (CAGB) has a poor prognosis. Molecular analysis of bile could classify indicators of CAGB. Bile samples (<i>n</i> = 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, <i>p</i> < 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 (<i>p</i> < 0.05). Bile proteins/metabolites signatures showed significant correlation (<i>r</i> <sup><i>2</i></sup> > 0.5, <i>p</i> < 0.05) with clinical parameters. Metabolite/protein signature-based probability of detection for CAGB (cancer) was >90% (<i>p</i> < 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 (<i>n</i> = 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 (<i>r</i> <sup><i>2</i></sup> >0.5, <i>p</i> < 0.05). In conclusion, the bile molecular landscape provides critical molecular understanding and outlines metabolomic indicator panels for early CAGB detection.</p>","PeriodicalId":519884,"journal":{"name":"Molecular therapy. Oncology","volume":"32 4","pages":"200904"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11617464/pdf/","citationCount":"0","resultStr":"{\"title\":\"Bile molecular landscape provides pathological insight and classifies signatures predictive of carcinoma of the gall bladder.\",\"authors\":\"Nupur Sharma, Sadam H Bhat, Babu Mathew, Manisha Yadav, Gaurav Tripathi, Vasundhra Bindal, Sanju Yadav, Neha Sharma, Sushmita Pandey, Hami Hemati, Deepika Bohra, Rashmi Rana, Narendra Kumar Sharma, Sanyam Falari, Viniyendra Pamecha, Jaswinder Singh Maras\",\"doi\":\"10.1016/j.omton.2024.200904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Carcinoma of the gall bladder (CAGB) has a poor prognosis. Molecular analysis of bile could classify indicators of CAGB. Bile samples (<i>n</i> = 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, <i>p</i> < 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 (<i>p</i> < 0.05). Bile proteins/metabolites signatures showed significant correlation (<i>r</i> <sup><i>2</i></sup> > 0.5, <i>p</i> < 0.05) with clinical parameters. Metabolite/protein signature-based probability of detection for CAGB (cancer) was >90% (<i>p</i> < 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 (<i>n</i> = 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 (<i>r</i> <sup><i>2</i></sup> >0.5, <i>p</i> < 0.05). In conclusion, the bile molecular landscape provides critical molecular understanding and outlines metabolomic indicator panels for early CAGB detection.</p>\",\"PeriodicalId\":519884,\"journal\":{\"name\":\"Molecular therapy. 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Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.omton.2024.200904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/19 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
胆囊癌(CAGB)预后不良。胆汁分子分析可对CAGB指标进行分类。胆汁样本(n = 87;培训队列)筛查癌症检测的蛋白质组学和代谢组学特征。在胆汁中,CAGB表现出不同的蛋白质组学表型(217例上调,258例下调)和代谢组学表型(111例上调,505例下调,p . 1.5,错误发现率p . 2bb0.5, p . 90% (p . 0.94)。在单独的队列中验证前四种代谢物-甲苯,5,6-二氢二乙烷,肌酸和苯乙醛(n = 80;胆汁[T1]和配对血浆[T2]检测CAGB的准确性(99%)和敏感性/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,而caspase-3与癌症发展相关(r 2 bb0 0.5, p
Bile molecular landscape provides pathological insight and classifies signatures predictive of carcinoma of the gall bladder.
Carcinoma of the gall bladder (CAGB) has a poor prognosis. Molecular analysis of bile could classify indicators of CAGB. Bile samples (n = 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, p < 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 (p < 0.05). Bile proteins/metabolites signatures showed significant correlation (r2 > 0.5, p < 0.05) with clinical parameters. Metabolite/protein signature-based probability of detection for CAGB (cancer) was >90% (p < 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 (n = 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 (r2 >0.5, p < 0.05). In conclusion, the bile molecular landscape provides critical molecular understanding and outlines metabolomic indicator panels for early CAGB detection.