Title A plasma lipidomics strategy reveals perturbed lipid metabolic pathways and potential lipid biomarkers of human colorectal cancer
Authors Shen, Sensen
Yang, Li
Li, Linnan
Bai, Yu
Cai, Chun
Liu, Huwei
Affiliation Peking Univ, Key Lab Bioorgan Chem & Mol Engn, Beijing Natl Lab Mol Sci, Minist Educ,Inst Analyt Chem,Coll Chem & Mol Engn, Beijing 100871, Peoples R China.
Guangdong Med Univ, Analyt Ctr, Zhanjiang 524023, Peoples R China.
Peking Univ, Key Lab Bioorgan Chem & Mol Engn, Beijing Natl Lab Mol Sci, Minist Educ,Inst Analyt Chem,Coll Chem & Mol Engn, Beijing 100871, Peoples R China.
Cai, C (reprint author), Guangdong Med Univ, Analyt Ctr, Zhanjiang 524023, Peoples R China.
Keywords Colorectal cancer
Lipidomics
Biomarker
2D LC-QToF/MS
POLYUNSATURATED FATTY-ACIDS
FLIGHT MASS-SPECTROMETRY
HUMAN COLON-CANCER
SERUM
BREAST
SPHINGOLIPIDS
EXPRESSION
ADENOMAS
RECTUM
TUMOR
Issue Date 2017
Publisher JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
Citation JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES. 2017, 1068, 41-48.
Abstract To explore underlying molecular mechanisms and identify novel lipid biomarkers promising for colorectal cancer (CRC) diagnosis, a continuous-flow two dimensional liquid chromatography-quadrupole time-of-flight mass spectrometry (2D LC-QToF/MS) method was employed to comprehensively measure lipid species in human plasma of CRC patients and healthy controls. With a total of 427 annotated lipid species, we identified 64 lipid species with corrected p value less than 0.05 and fold change more than 1.5. These significantly altered lipid species were mainly involved in glycerolipids and glycerophospholipids metabolism and sphingolipids metabolism. After the diagnosis ability evaluation based on the receiver operating characteristic (ROC) curve, phosphatidylglycerol (34:0), sphingomyelin (42:2), ceramide (44:5), lysophosphatidylcholine (18:3), lysophosphatidylcholine (18:2), phosphatidylethanolamine (O-36:3), phosphatidylethanolamine (O-38:3) and sphingomyelin (38:8) were finally proposed as the potential biomarkers with the area under the curve (AUC) more than 0.900. These results suggest that this 2D LC-QToF/MS-based lipidomics profiling has great potential as a noninvasive diagnostic method in detecting CRC and hopefully provide new clues to understand its underlying mechanism.
URI http://hdl.handle.net/20.500.11897/500840
ISSN 1570-0232
DOI 10.1016/j.jchromb.2017.10.004
Indexed SCI(E)
EI
PubMed
Medline
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生物有机与分子工程教育部重点实验室

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