Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, 34753Sichuan University, Chengdu, Sichuan, China.
Research Center of Regeneration Medicine, West China Hospital, Sichuan University, Chengdu, China.
Technol Cancer Res Treat. 2021 Jan-Dec;20:15330338211041472. doi: 10.1177/15330338211041472.
This review aims to identify lipid biomarkers of non-small cell lung cancer (NSCLC) in human tissue samples and discuss the roles of lipids in tissue molecular identification, the discovery of potential biomarkers, and surgical margin assessment. A review of the literature focused on lipid-related research using mass spectrometry (MS) techniques in human NSCLC tissues from January 1, 2015, to November 20, 2020, was conducted. The quality of included studies was assessed using the QUADAS-2 tool. Twelve studies met the inclusion criteria and were included in the review. The risk of bias was unclear in the majority of the studies. The contents of lipids including fatty acids, phosphatidyl choline, phosphatidyl ethanolamine, phosphatidyl inositol, cardiolipin, phosphatidyl serine, phosphatidyl glycerol, ceramide, lysophosphatidylethanolamine, lysophosphatidylcholine, and lysophosphatidylglycerol differed significantly between cancer and healthy tissues. The sensitivity or specificity of the discrimination model was reported in 8 studies, and the sensitivity and specificity varied among the reported methods. The lipid profiles differed between adenocarcinoma and squamous cell carcinoma NSCLC subtypes. In preclinical studies, MS analysis and multiple discrimination models can be combined to distinguish NSCLC tissues from healthy tissues based on lipid profiles, which provides a new opportunity to evaluate the surgical margin and cancer subtype intraoperatively. Future studies should provide guidance for selecting patients and discrimination models to develop an improved method for clinical application.
本综述旨在鉴定人类组织样本中非小细胞肺癌(NSCLC)的脂质生物标志物,并讨论脂质在组织分子鉴定、潜在生物标志物发现以及手术切缘评估中的作用。对 2015 年 1 月 1 日至 2020 年 11 月 20 日期间使用质谱(MS)技术在人类 NSCLC 组织中进行的与脂质相关的研究进行了文献回顾。使用 QUADAS-2 工具评估纳入研究的质量。符合纳入标准的 12 项研究被纳入综述。大多数研究的偏倚风险不明确。癌症组织和健康组织之间的脂质含量(包括脂肪酸、磷脂酰胆碱、磷脂酰乙醇胺、磷脂酰肌醇、心磷脂、磷脂酰丝氨酸、磷脂酰甘油、神经酰胺、溶血磷脂酰乙醇胺、溶血磷脂酰胆碱和溶血磷脂酰甘油)存在显著差异。8 项研究报告了区分模型的敏感性或特异性,并且报告的方法之间存在差异。腺癌和鳞状细胞癌 NSCLC 亚型之间的脂质谱存在差异。在临床前研究中,MS 分析和多个判别模型可以结合起来,根据脂质谱区分 NSCLC 组织和健康组织,这为术中评估手术切缘和癌症亚型提供了新的机会。未来的研究应该为选择患者和判别模型提供指导,以开发出一种改进的临床应用方法。