Diagnostic value of serum sphingolipids in patients with colorectal cancer.
Ziyue PanZuojian HuLi GuanLei ZhangXia GaoLujie YangTianqi GongYanling HuYanping ZhaoHongxiu YuPublished in: The Analyst (2022)
Background : Abnormal lipid metabolism affects the regulation of tumor progression, though use of serum lipids and sphingolipids for disease progression identification is uncertain. Methods : Serum samples from 51 healthy volunteers and 76 patients were collected and analyzed by liquid chromatography tandem mass spectrometry. Results : Levels of serum total cholesterol and high-density lipoprotein were significantly lower in colorectal cancer patients. Multivariate analysis demonstrated distinct sphingolipid profiles between healthy individuals and patients. Of 106 sphingolipids, 15 metabolites that showed statistical significance were selected, and receiver operating characteristic analysis of these metabolites yielded an area under the curve of 0.868 to 0.9 by machine learning algorithms for distinguishing colorectal cancer from a healthy status. Conclusions : Healthy individuals, polyps patients and colorectal cancer patients have different serum sphingolipid signatures. Serum sphingolipids might be used as biomarkers for early detection or prediction of colorectal cancer.
Keyphrases
- machine learning
- end stage renal disease
- ejection fraction
- liquid chromatography tandem mass spectrometry
- newly diagnosed
- prognostic factors
- ms ms
- patient reported outcomes
- gene expression
- dna methylation
- artificial intelligence
- simultaneous determination
- poor prognosis
- solid phase extraction
- tandem mass spectrometry