PMID- 36677015 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20230201 IS - 2218-1989 (Print) IS - 2218-1989 (Electronic) IS - 2218-1989 (Linking) VI - 13 IP - 1 DP - 2023 Jan 6 TI - Simultaneous Quantification of Serum Lipids and Their Association with Type 2 Diabetes Mellitus-Positive Hepatocellular Cancer. LID - 10.3390/metabo13010090 [doi] LID - 90 AB - Type 2 diabetes mellitus (T2DM) has been recognized as one of the most important and independent risk factors for hepatocellular cancer (HCC). However, there is still a lack of ideal tumor markers for HCC detection in the T2DM population. Serum lipids have been revealed as potential tumor markers for HCC. In this study, our objective was to develop a novel liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to detect several lipids including 8,15-dihydroxy-5,9,11,13-eicosatetraenoic acid (8,15-DiHETE), hexadecanedioic acid (HDA), 15-keto-13,14-dihydroprostaglandin A2 (DHK-PGA2), ricinoleic acid (RCL), octadecanedioic acid (OA) and 16-hydroxy hexadecanoic acid (16OHHA) in serum and explore their diagnostic potential for T2DM-positive [T2DM(+)] HCC. A robust LC-MS/MS method was established for the measurement of 8,15-DiHETE, HDA, DHK-PGA2, RCL, OA, and 16OHHA. The methodology validation was conducted, and the results suggested the reliability of this LC-MS/MS method for targeted lipids. Several serum lipids, including 8,15-DiHETE, HDA, DHK-PGA2, and OA were increased in T2DM(+) HCC patients. A biomarker signature that incorporated HDA, DHK-PGA2, and AFP was established and showed good diagnostic potential for T2DM(+) HCC, and the area under the ROC curve (AUC) was 0.87 for diagnosing T2DM(+) HCC from T2DM individuals. Additionally, the biomarker signature diagnosed small-size (AUC = 0.88) and early-stage (AUC = 0.79) tumors with high efficacy. Moreover, the biomarker signature could differentiate T2DM(+) HCC from other T2DM(+) tumors, including pancreatic, gastric and colorectal cancer (AUC = 0.88) as well. In conclusion, our study develops a novel tool for early diagnosis of T2DM(+) HCC in T2DM patients. FAU - Yue, Zhihong AU - Yue Z AD - Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China. FAU - Pei, Lin AU - Pei L AD - Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China. FAU - Meng, Guangyan AU - Meng G AD - Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China. FAU - Zhang, Aimin AU - Zhang A AD - Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China. FAU - Li, Meng AU - Li M AD - Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing 100044, China. FAU - Jia, Mei AU - Jia M AD - Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China. FAU - Wang, Hui AU - Wang H AD - Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China. FAU - Cao, Linlin AU - Cao L AD - Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China. LA - eng GR - RDJP2022-57/Peking University People's Hospital Scientific Research Development Funds/ PT - Journal Article DEP - 20230106 PL - Switzerland TA - Metabolites JT - Metabolites JID - 101578790 PMC - PMC9865394 OTO - NOTNLM OT - 15-keto-13,14-dihydroprostaglandin A2 OT - biomarker signature OT - hepatocellular cancer OT - hexadecanedioic acid OT - serum lipids OT - type 2 diabetes mellitus COIS- The authors declare no conflict of interest. EDAT- 2023/01/22 06:00 MHDA- 2023/01/22 06:01 PMCR- 2023/01/06 CRDT- 2023/01/21 01:39 PHST- 2022/11/20 00:00 [received] PHST- 2022/12/16 00:00 [revised] PHST- 2022/12/21 00:00 [accepted] PHST- 2023/01/21 01:39 [entrez] PHST- 2023/01/22 06:00 [pubmed] PHST- 2023/01/22 06:01 [medline] PHST- 2023/01/06 00:00 [pmc-release] AID - metabo13010090 [pii] AID - metabolites-13-00090 [pii] AID - 10.3390/metabo13010090 [doi] PST - epublish SO - Metabolites. 2023 Jan 6;13(1):90. doi: 10.3390/metabo13010090.