The Journal of Practical Medicine ›› 2025, Vol. 41 ›› Issue (11): 1742-1750.doi: 10.3969/j.issn.1006-5725.2025.11.020

• New Technology and New Method • Previous Articles    

Lipidomic profile of serum in colorectal cancer patients and its diagnostic significance

Xiao YANG1,Tao WANG2,Wei WANG2,Yaohui PENG2,Yan CHEN2,Haiping ZENG2,Bao YANG1()   

  1. *.Hubei Provincial Key Laboratory of Occurrence and Intervention of Rheumatic Diseases,Hubei Minzu University,Enshi 445000,Hubei,China
  • Received:2025-03-05 Online:2025-06-10 Published:2025-06-19
  • Contact: Bao YANG E-mail:ybsept@hbmzu.edu.cn

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 spectrometry, 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 phosphatidylcholine (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 colorectal cancer.

Key words: colorectal cancer, ultra performance liquid chromatography-time of flight mass spectrometry, lipidomics, early screening, biomarkers

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