Cheng Feng, Fan Weimin, Gui Ling, Liu Yixian, Ling Yu, Huang Rong, Wen Zhifa, Chen Yajun
Department of Clinical Laboratory, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, No 123, Tianfei Lane, Mochou Road, Qinhuai District, Nanjing, 210000, Jiangsu, China.
Anal Bioanal Chem. 2023 Apr;415(10):1841-1854. doi: 10.1007/s00216-023-04586-x. Epub 2023 Feb 17.
Nowadays, screening for endometrial cancer (EC) primarily relies on clinical symptoms and imaging, which makes it difficult to detect early-stage disease. Here, we conducted a widely targeted lipidomic analysis of 38 human serum samples in a discovery set and 40 human serum samples in a validation set to profile the dysregulated lipid species and establish lipid biomarkers for early-stage EC. This comprehensive lipidomic determination of 616 serum lipids indicated significant differences between early-stage EC patients and healthy controls. Three phases of lipid biomarker investigation (discovery, validation, and determination of the lipid biomarker panel) were performed, which revealed the upregulation of some sphingolipid, glycerophospholipid, and glycerolipids and downregulation of some carnitine. Consistently, the perturbation of sphingolipid and glycerophospholipid metabolism was also observed from pathway enrichment analysis. Moreover, a lipid biomarker panel, including ursodeoxycholic acid, PC(O-14:0_20:4), and Cer(d18:1/18:0), was established. This panel was assessed as an effective diagnostic model to distinguish early-stage EC patients from healthy controls and atypical endometrial hyperplasia patients within the area under the receiver operating characteristic curve (AUC) reaching 0.903 and 0.928, respectively. In particular, the comparison results of the diagnostic efficacy indicated that the lipid biomarker panel was superior to clinically established indicators for EC diagnosis, including HE4, CA125, CA153, and CA199, suggesting that it could be used as an excellent supplementary method for the diagnosis of early-stage EC. In conclusion, we established a novel and non-invasive lipid biomarker for early-stage EC detection and these findings may provide new insight into the pathological mechanisms of EC.
如今,子宫内膜癌(EC)的筛查主要依赖于临床症状和影像学检查,这使得早期疾病难以被检测出来。在此,我们对发现集中的38份人类血清样本和验证集中的40份人类血清样本进行了广泛靶向脂质组学分析,以描绘失调的脂质种类并建立早期EC的脂质生物标志物。对616种血清脂质进行的这种全面脂质组学测定表明,早期EC患者与健康对照之间存在显著差异。进行了脂质生物标志物研究的三个阶段(发现、验证和脂质生物标志物面板的确定),结果显示一些鞘脂、甘油磷脂和甘油酯上调,而一些肉碱下调。同样,从通路富集分析中也观察到鞘脂和甘油磷脂代谢的扰动。此外,还建立了一个脂质生物标志物面板,包括熊去氧胆酸、PC(O-14:0_20:4)和Cer(d18:1/18:0)。该面板被评估为一种有效的诊断模型,用于区分早期EC患者与健康对照以及非典型子宫内膜增生患者,受试者工作特征曲线(AUC)下面积分别达到0.903和0.928。特别是,诊断效能的比较结果表明,脂质生物标志物面板优于临床上用于EC诊断的既定指标,包括HE4、CA125、CA153和CA199,这表明它可作为早期EC诊断的一种优秀补充方法。总之,我们建立了一种用于早期EC检测的新型非侵入性脂质生物标志物,这些发现可能为EC的病理机制提供新的见解。