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基于脂质组学分析鉴定食管鳞癌生物标志物的脂质。

Lipid Identification of Biomarkers in Esophageal Squamous Cell Carcinoma by Lipidomic Analysis.

机构信息

Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.

Department of Kidney Medicine, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.

出版信息

Nutr Cancer. 2024;76(7):608-618. doi: 10.1080/01635581.2024.2350097. Epub 2024 May 16.

Abstract

Lipids participate in many important biological functions through energy storage, membrane structure stabilization, signal transduction, and molecular recognition. Previous studies have shown that patients with esophageal squamous cell carcinoma (ESCC) have abnormal lipid metabolism. However, studies characterizing lipid metabolism in ESCC patients through lipidomics are limited. Plasma lipid profiles of 65 ESCC patients and 42 healthy controls (HC) were characterized by lipidomics-based ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Single-factor and multi-factor statistical analysis were used to screen the differences in blood lipids between groups, and combined with component ratio analysis and receiver operating characteristic (ROC) curve diagnostic efficiency assessment, to reveal the potential mechanisms and biomarkers of ESCC. There were significant differences in lipid profiles between the ESCC and HC groups. Thirty-six differential lipids (11 up-regulated and 25 down-regulated) were selected based on the criteria of  < .05 and fold change > 1.3 or < 0.77. Glycerophospholipids were the major differential lipids, suggesting that these lipid metabolic pathways exhibit a significant imbalance that may contribute to the development of esophageal squamous cell carcinoma. Among them, the seven candidate biomarkers for esophageal squamous cell carcinoma with the highest diagnostic value are three phosphatidylserine (PS), three fatty acids (FA) and one phosphatidylcholine (PC).

摘要

脂质通过储存能量、稳定膜结构、信号转导和分子识别等方式参与许多重要的生物学功能。先前的研究表明,食管鳞状细胞癌(ESCC)患者存在异常的脂质代谢。然而,通过脂质组学对 ESCC 患者的脂质代谢进行研究的报道有限。采用基于脂质组学的超高效液相色谱四极杆飞行时间质谱法(UPLC-Q-TOF-MS)对 65 例 ESCC 患者和 42 例健康对照(HC)的血浆脂质谱进行了分析。采用单因素和多因素统计分析筛选组间血脂差异,并结合成分比值分析和受试者工作特征(ROC)曲线诊断效率评估,揭示 ESCC 的潜在机制和生物标志物。ESCC 组和 HC 组的脂质谱存在显著差异。根据 <.05 和倍数变化 > 1.3 或 < 0.77 的标准,选择了 36 种差异脂质(11 种上调和 25 种下调)。甘油磷脂是主要的差异脂质,提示这些脂质代谢途径存在明显失衡,可能有助于食管鳞状细胞癌的发生发展。其中,七种具有最高诊断价值的食管鳞状细胞癌候选生物标志物分别为三种磷脂酰丝氨酸(PS)、三种脂肪酸(FA)和一种磷脂酰胆碱(PC)。

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