Department of General Surgery, The First Affiliated Hospital of Bengbu Medical College, No. 287, Changhuai Road, Longzihu District, Bengbu, 233000, Anhui, China.
Sci Rep. 2023 Feb 23;13(1):3177. doi: 10.1038/s41598-023-27603-6.
It is difficult to directly obtain pathological diagnosis of perihilar cholangiocarcinoma (pCCA). Analysis of bile in the pCCA microenvironment, based on metabolomics and statistical methods, can help in clinical diagnosis. Clinical information, bile samples, blood liver function, blood CA199, CEA, and other indicators were collected from 33 patients with pCCA and 16 patients with gallstones. Bile samples were analyzed using untargeted metabolomics methods. A combination of multivariate and univariate analyses were used to screen for potential differential metabolites Through Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment and differential metabolite remodeling, we explored changes in the pCCA pathway and potential therapeutic targets. There were significant differences in patient blood TBIL, ALT, AST, TBA, CA19-9, and CEA indices (p < 0.05, |log2(fc)| ≥ 1) between two groups. A significant correlation was found between these different indicators by Spearman's analysis. The clinical parameters were correlated with mass-to-charge ratios of 305 (Positive Ion Mode, POS) and 246 (Negative Ion Mode, NEG) in the metabolic group (|r| ≥ 0.7, P ≤ 10). The result of this study indicated that bile untargeted metabolomics combined with statistical analysis techniques may be used for diagnose and treatment of pCCA.
难以直接获得肝门部周围性胆管癌（pCCA）的病理诊断。基于代谢组学和统计学方法分析 pCCA 微环境中的胆汁，可以辅助临床诊断。本研究共纳入 33 例 pCCA 患者和 16 例胆囊结石患者，采集患者临床资料、胆汁样本、血肝功能、血 CA199、CEA 等指标，采用非靶向代谢组学方法分析胆汁样本。采用多元和单变量分析相结合的方法筛选潜在差异代谢物。通过京都基因与基因组百科全书（KEGG）富集和差异代谢物重塑，探讨 pCCA 通路变化和潜在治疗靶点。两组患者的血液 TBIL、ALT、AST、TBA、CA19-9 和 CEA 指标存在显著差异（p < 0.05，|log2(fc)| ≥ 1）。Spearman 分析发现这些不同指标之间存在显著相关性。代谢组学中代谢物的临床参数与 305（正离子模式，POS）和 246（负离子模式，NEG）的质荷比呈正相关（|r| ≥ 0.7，P ≤ 10）。本研究结果表明，胆汁非靶向代谢组学联合统计分析技术可能用于 pCCA 的诊断和治疗。
