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血清脂质的同步定量及其与2型糖尿病阳性肝细胞癌的关联

Simultaneous Quantification of Serum Lipids and Their Association with Type 2 Diabetes Mellitus-Positive Hepatocellular Cancer.

作者信息

Yue Zhihong, Pei Lin, Meng Guangyan, Zhang Aimin, Li Meng, Jia Mei, Wang Hui, Cao Linlin

机构信息

Department of Clinical Laboratory, Peking University People's Hospital, Beijing 100044, China.

Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing 100044, China.

出版信息

Metabolites. 2023 Jan 6;13(1):90. doi: 10.3390/metabo13010090.

Abstract

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 our study develops a novel tool for early diagnosis of T2DM(+) HCC in T2DM patients.

摘要

2型糖尿病(T2DM)已被公认为肝细胞癌(HCC)最重要的独立危险因素之一。然而,在T2DM人群中,仍缺乏用于HCC检测的理想肿瘤标志物。血清脂质已被发现是HCC的潜在肿瘤标志物。在本研究中,我们的目标是开发一种新型液相色谱-串联质谱(LC-MS/MS)方法,以检测血清中的几种脂质,包括8,15-二羟基-5,9,11,13-二十碳四烯酸(8,15-DiHETE)、十六烷二酸(HDA)、15-酮-13,14-二氢前列腺素A2(DHK-PGA2)、蓖麻油酸(RCL)、十八烷二酸(OA)和16-羟基十六烷酸(16OHHA),并探索它们对T2DM阳性[T2DM(+)] HCC的诊断潜力。建立了一种可靠的LC-MS/MS方法用于测定8,15-DiHETE、HDA、DHK-PGA2、RCL、OA和16OHHA。进行了方法学验证,结果表明该LC-MS/MS方法用于靶向脂质的可靠性。包括8,15-DiHETE、HDA、DHK-PGA2和OA在内的几种血清脂质在T2DM(+) HCC患者中升高。建立了一种包含HDA、DHK-PGA2和甲胎蛋白(AFP)的生物标志物特征,其对T2DM(+) HCC显示出良好的诊断潜力,从T2DM个体诊断T2DM(+) HCC的ROC曲线下面积(AUC)为0.87。此外,该生物标志物特征对小尺寸(AUC = 0.88)和早期(AUC = 0.79)肿瘤具有高效诊断能力。此外,该生物标志物特征还能够将T2DM(+) HCC与其他T2DM(+)肿瘤,包括胰腺癌、胃癌和结直肠癌(AUC = 0.88)区分开来。在我们的研究中,开发了一种用于T2DM患者中T2DM(+) HCC早期诊断的新型工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c5b/9865394/5be6c3ca9ec5/metabolites-13-00090-g001.jpg

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