Tong Liu1,2,3,4, Zhirong Tan1,2,3,4, Jing Yu1,2,3,4, Peng Feng1,2,3,4, Jiwei Guo1,2,3,4, Wenhui Meng1,2,3,4, Yao Chen1,2,3,4, Tai Rao1,2,3,4, Zhaoqian Liu1,2,3,4, Jingbo Peng1,2,3,4. 1. Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha 410008, P. R. China. 2. Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha 410078, P. R. China. 3. Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha 410078, P. R. China. 4. National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha 410008, Hunan, P.R. China.
Abstract
Background: Colorectal cancer (CRC) represents a third leading cause of cancer-related death worldwide. The reliable diagnostic biomarkers for detecting CRC at early stage is critical for decreasing the mortality.Method: A conjunctive lipidomic approach was employed to investigate the differences in plasma lipid profiles of CRC patients (n = 101) and healthy volunteers (n = 52). Based on UHPLC-Q-TOF MS and UHPLC-QQQ MS platforms, a total of 235 lipids were structurally detected. Multivariate data analysis was conducted including partial least squared discriminant analysis (PLS-DA), fold change performance and Mann-Whitney U test. Results: A total of 11 lipid species, including 1 Glycerophosphoethanolamine (PE), 3 ethanolamine plasmalogens (PlsEtn), 1 plasmanyl glycerophosphatidylethanolamine (PE-O), 3 fatty acids (FFA), 1 Fatty acid ester of hydroxyl fatty acid (FAHFA), and 2 Diacylglycerophosphates (PA) were identified to distinguish the CRC patients at early stage from healthy controls. In addition, these potential lipid biomarkers achieved an estimated AUC=0.981 in a validation set for univariate ROC analysis. Conclusion: By combining Q-TOF MS and QQQ MS analysis, the 11 lipids exhibited good performance in differentiating early-stage CRC and healthy control. This study also demonstrated that the lipidomics is a powerful tool in discovering new potential biomarkers for cancer diagnosis.
Background: Colorectal cancer (CRC) represents a third leading cause of cancer-related death worldwide. The reliable diagnostic biomarkers for detecting CRC at early stage is critical for decreasing the mortality.Method: A conjunctive lipidomic approach was employed to investigate the differences in plasma lipid profiles of CRCpatients (n = 101) and healthy volunteers (n = 52). Based on UHPLC-Q-TOF MS and UHPLC-QQQ MS platforms, a total of 235 lipids were structurally detected. Multivariate data analysis was conducted including partial least squared discriminant analysis (PLS-DA), fold change performance and Mann-Whitney U test. Results: A total of 11 lipid species, including 1 Glycerophosphoethanolamine (PE), 3 ethanolamine plasmalogens (PlsEtn), 1 plasmanyl glycerophosphatidylethanolamine (PE-O), 3 fatty acids (FFA), 1 Fatty acid ester of hydroxyl fatty acid (FAHFA), and 2 Diacylglycerophosphates (PA) were identified to distinguish the CRCpatients at early stage from healthy controls. In addition, these potential lipid biomarkers achieved an estimated AUC=0.981 in a validation set for univariate ROC analysis. Conclusion: By combining Q-TOF MS and QQQ MS analysis, the 11 lipids exhibited good performance in differentiating early-stage CRC and healthy control. This study also demonstrated that the lipidomics is a powerful tool in discovering new potential biomarkers for cancer diagnosis.
Authors: Sahar Baig; Kamala Vanarsa; Huihua Ding; Anto Sam Crosslee Louis Sam Titus; Maureen McMahon; Chandra Mohan Journal: Front Cardiovasc Med Date: 2022-05-16
Authors: Claudiu Răchieriu; Dan Tudor Eniu; Emil Moiş; Florin Graur; Carmen Socaciu; Mihai Adrian Socaciu; Nadim Al Hajjar Journal: Biomolecules Date: 2021-03-11