Lipidomic profile of serum in colorectal cancer patients and its diagnostic significance
10.3969/j.issn.1006-5725.2025.11.020
- VernacularTitle:结直肠癌患者的血清脂质组学特点及其诊断价值
- Author:
Xiao YANG
1
;
Tao WANG
;
Wei WANG
;
Yaohui PENG
;
Yan CHEN
;
Haiping ZENG
;
Bao YANG
Author Information
1. 湖北民族大学风湿性疾病发生与干预湖北省重点实验室(湖北恩施 445000)
- Publication Type:Journal Article
- Keywords:
colorectal cancer;
ultra performance liquid chromatography-time of flight mass spectrom-etry;
lipidomics;
early screening;
biomarkers
- From:
The Journal of Practical Medicine
2025;41(11):1742-1750
- CountryChina
- Language:Chinese
-
Abstract:
Objective This study examines serum lipid metabolism characteristics in colorectal cancer patients and its diagnostic potential.Methods Serum samples from 57 colorectal cancer patients and 54 healthy controls underwent lipidomic analysis using ultra-high performance liquid chromatography-time-of-flight mass spec-trometry,combined with principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA).Differential lipids were identified based on criteria of P<0.05,VIP>1,and fold change<0.67 or>1.5.These lipids were further evaluated using receiver operating characteristic(ROC)analysis to identify biomarkers with strong diagnostic value.Results Five classes and 66 differential lipids were identified,with phos-phatidylcholine(PC)and triglyceride(TG)comprising 59.09%.KEGG pathway enrichment indicated involvement in glycerophospholipid and glycerol ester metabolism pathways.ROC analysis identified Sphinganine,MG(19∶0),LysoPC(18∶2),PA(42∶6),PC(36∶5),PC(36∶4),PC(38∶6),and PC(40∶8)as having areas under the curve greater than 0.85.Conclusion The lipid metabolic profile of colorectal cancer(CRC)patients can be systematically analyzed through the efficient enrichment of lipid metabolites in serum using the UPLC-Q/TOF-MS technique,in conjunction with a modified Bligh-Dyer method.The identification of eight specific lipids including Sphinganine,MG(19∶0),LysoPC(18∶2),PA(42∶6),PC(36∶5),PC(36∶4),PC(38∶6),and PC(40∶8)offer novel insights and parameters for differentiating between healthy individuals and those diagnosed with colorec-tal cancer.
