Open AccessSerum Untargeted UHPLC-HRMS-Based Lipidomics to Discover the Potential Biomarker of Colorectal Advanced Adenoma
Author(s) -
Yifan Zhu,
Lisheng Wang,
Yanying g,
Yunxiao Liang,
Zongsheng Huang,
Pingchuan Zhu,
Qisong Zhang
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s336322
Subject(s) - lipidomics , receiver operating characteristic , biomarker , metabolomics , lipid metabolism , colorectal cancer , medicine , biomarker discovery , differential diagnosis , univariate analysis , multivariate analysis , bioinformatics , chromatography , oncology , cancer , pathology , chemistry , biology , biochemistry , proteomics , gene
As a key precancerous lesion, colorectal advanced adenoma (CAA) is closely related to the occurrence and development of colorectal cancer (CRC). Effective identification of CAA-related biomarkers can prevent CRC morbidity and mortality. Lipids, as an important endogenous substance, have been proved to be involved in the occurrence and development of CRC. Lipidomics is an advanced technique that studies lipid metabolism and biomarkers of diseases. However, there are no lipidomics studies based on large serum samples to explore diagnostic biomarkers for CAA.