Lipidomic study and diagnosis of hepatocellular carcinoma tumor with rapid evaporative ionization mass spectrometry

Lipidomic study and diagnosis of hepatocellular carcinoma tumor with rapid evaporative ionization mass spectrometry
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DOI:
10.1002/elps.202300007
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发表时间:
2023-04
期刊:
影响因子:
2.9
通讯作者:
Haixing Wang;Ting Li;Qing Shen;Zhifang Liu;You-Wei Chen;Darong Huang;Jiancheng Yu;Long Wang-Long-Wan
Haixing Wang;Ting Li;Qing Shen;Zhifang Liu;You-Wei Chen;Darong Huang;Jiancheng Yu;Long Wang-Long-Wan
中科院分区:
生物学3区
文献类型:
--
作者:
Haixing Wang;Ting Li;Qing Shen;Zhifang Liu;You-Wei Chen;Darong Huang;Jiancheng Yu;Long Wang-Long-Wan

文献摘要

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肝癌通常被认为是全球癌症死亡的主要原因,而肝细胞癌(HCC)占肝癌的90%以上。改变脂质代谢的快速癌细胞生长和肿瘤形成已被频繁证明。在这项研究中,一种敞开式电离质谱技术,快速蒸发电离质谱(REIMS)使用单极电刀,称为iKnife,系统优化和采用离体分析12人肝癌肿瘤组织标本连同配对癌旁组织(PT)和非癌肝组织(NCT)标本。根据提取物质量和/或串联质谱,初步鉴定了9种游离脂肪酸和34种磷脂。用统计学方法分析了7种游离脂肪酸和10种磷脂在3种肝组织标本中的分布差异(95%可信区间)。箱形图显示这些特征性脂质代谢产物在PT、HCC和NCT中不同。与PT和NCT相比,在HCC标本中发现四种常见脂肪酸FA 18:0、FA 20:4、FA 16:0和FA 18:1以及磷脂PC 36:1、PE 38:3、PE(18:0/20:4)、PA(O-36:1)、PC(32:1)、PC 32:0、PE 34:0和PC(16:0/18:1)的上调。所建立的统计模型对真实的实时HCC肿瘤诊断的敏感性和特异性分别为100%和90.5%。该研究表明,所描述的REIMS技术是一种用于HCC肿瘤组织的快速脂质组学分析和表征的潜在方法。
Liver cancer is generally considered the leading cause of cancer deaths worldwide, and hepatocellular carcinoma (HCC) contributes to more than 90% of liver cancers. The altered lipid metabolism for rapid cancer cell growth and tumor formation has been frequently proven. In this study, an ambient ionization mass spectrometry technique, rapid evaporative ionization mass spectrometry (REIMS) using a monopolar electric knife, called iKnife, was systematically optimized and employed for ex vivo analysis of 12 human HCC tumor tissue specimens together with the paired paracancerous tissue (PT) and noncancerous liver tissue (NCT) specimens. Nine free fatty acids and 34 phospholipids were tentatively identified according to their extract masses and/or tandem mass spectra. With the help of statistical methods, 7 free fatty acids and 10 phospholipids were distributed differently in 3 types of liver tissue specimens (95% confidence interval). The box plots showed these characterized lipid metabolites varied in PT, HCC, and NCT. Compared with PT and NCT, the upregulations of four common fatty acids FA 18:0, FA 20:4, FA 16:0, and FA 18:1, together with phospholipids PC 36:1, PE 38:3, PE (18:0/20:4), PA (O‐36:1), PC (32:1), PC 32:0, PE 34:0, and PC (16:0/18:1), were found in HCC specimens. The sensitivity and specificity of the established statistic model for real‐time HCC tumor diagnosis were 100% and 90.5%, respectively. This study demonstrated that the described REIMS technique is a potential method for rapid lipidomic analysis and characterization of HCC tumor tissue.