A conjunctive lipidomic approach reveals plasma ethanolamine plasmalogens and fatty acids as early diagnostic biomarkers for colorectal cancer patients
Autor: | Wenhui Meng, Yao Chen, Tong Liu, Zhirong Tan, Jingbo Peng, Jiwei Guo, Zhaoqian Liu, Tai Rao, Jing Yu, Feng Peng |
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Rok vydání: | 2020 |
Předmět: |
Male
0301 basic medicine Oncology medicine.medical_specialty Colorectal cancer Plasmalogens Ceramides Biochemistry 03 medical and health sciences chemistry.chemical_compound Sphingosine Internal medicine Healthy control Lipidomics medicine Humans Diagnostic biomarker Ethanolamine plasmalogen Molecular Biology Early Detection of Cancer Triglycerides Aged chemistry.chemical_classification 030102 biochemistry & molecular biology business.industry Lysophosphatidylcholines Fatty acid ester Fatty acid Cancer Middle Aged medicine.disease Lipoproteins LDL Cholesterol 030104 developmental biology chemistry Female Lysophospholipids Colorectal Neoplasms Lipoproteins HDL business |
Zdroj: | Expert Review of Proteomics. 17:233-242 |
ISSN: | 1744-8387 1478-9450 |
Popis: | Background: Colorectal cancer (CRC) represents a third leading cause of cancer-related death worldwide. The reliable diagnostic biomarkers for detecting CRC at early stage is critical for decreasing the mortality.Method: A conjunctive lipidomic approach was employed to investigate the differences in plasma lipid profiles of CRC patients (n = 101) and healthy volunteers (n = 52). Based on UHPLC-Q-TOF MS and UHPLC-QQQ MS platforms, a total of 236 lipids were structurally detected. Multivariate data analysis was conducted for biomarkers discovery.Results: A total of 11 lipid species, including 1 Glycerophosphoethanolamine (PE), 3 ethanolamine plasmalogens (PlsEtn), 1 plasmanyl glycerophosphatidylethanolamine (PE-O), 3 fatty acids (FFA), 1 Fatty acid ester of hydroxyl fatty acid (FAHFA) and 2 Diacylglycerophosphates (PA) were identified to distinguish the CRC patients at early stage from healthy controls. In addition, these potential lipid biomarkers achieved an estimated AUC=0.981 in a validation set for univariate ROC analysis.Conclusion: By combining Q-TOF MS and QQQ MS analysis, the 11 lipids exhibited good performance in differentiating early-stage CRC and healthy control. This study also demonstrated that lipidomics is a powerful tool in discovering new potential biomarkers for cancer diagnosis. |
Databáze: | OpenAIRE |
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