Zhou Dehua, Mu Di, Cheng Ming, Dou Yuting, Zhang Xianwei, Feng Zhensheng, Qiu Guangting, Yu Hua, Chen Yang, Xu Hong, Sun Jian, Zhou Ling
Master, Department of General Surgery, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China. Statistical analysis, conception and design of the study, manuscript preparation.
Master, Department of Clinical Laboratory, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China. Acquisition, analysis and interpretation of data; statistical analysis; conception and design of the study; manuscript preparation.
Acta Cir Bras. 2020 Jul 6;35(5):e202000508. doi: 10.1590/s0102-865020200050000008.
To analyze the plasma lipid spectrum between healthy control and patients with pancreatic cancer and to select differentially expressed tumor markers for early diagnosis.
In total, 20 patents were divided into case group and healthy control group according to surgical pathology. Of almost 1206 plasma lipid molecules harvested from 20 patients were measured by HILIC using the normal phase LC/MS. Heat map presented the relative levels of metabolites and lipids in the healthy control group and patients with pancreatic cancer. The PCA model was constructed to find out the difference in lipid metabolites. The principal components were drawn in a score plot and any clustering tendency could be observed. PLS-DA were performed to distinguish the healthy control group and pancreatic cancer according to the identified lipid profiling datasets. The volcano plot was used to visualize all variables with VIP>1 and presented the important variables with P<0.01 and |FC|>2.
The upregulated lipid metabolites in patients with pancreatic cancer contained 9 lipids; however, the downregulated lipid metabolites contained 79 lipids.
There were lipid metabolomic differences in patients with pancreatic cancer, which could serve as potential tumor markers for pancreatic cancer.
分析健康对照组与胰腺癌患者的血脂谱，筛选差异表达的肿瘤标志物用于早期诊断。
将20例患者根据手术病理分为病例组和健康对照组。使用正相液相色谱/质谱联用的亲水作用色谱法（HILIC）对从20例患者中采集的近1206种血浆脂质分子进行测定。热图展示了健康对照组和胰腺癌患者中代谢物和脂质的相对水平。构建主成分分析（PCA）模型以找出脂质代谢物的差异。主成分绘制在得分图中，可观察到任何聚类趋势。根据鉴定出的脂质谱数据集，进行偏最小二乘判别分析（PLS-DA）以区分健康对照组和胰腺癌。火山图用于可视化所有变量重要性投影（VIP）>1的变量，并呈现P<0.01且|倍数变化（FC）|>2的重要变量。
胰腺癌患者中上调的脂质代谢物包含9种脂质；然而，下调的脂质代谢物包含79种脂质。
胰腺癌患者存在脂质代谢组学差异，这可能作为胰腺癌潜在的肿瘤标志物。
