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Tissue imaging and serum lipidomic profiling for screening potential biomarkers of thyroid tumors by matrix-assisted laser desorption/ionization-Fourier transform ion cyclotron resonance mass spectrometry

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机构: [1]Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China [2]Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China [3]Department of Clinical Laboratory, Heze Municipal Hospital, Shandong 274031, China [4]Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China [5]Key Laboratory of Otolaryngology, Head and Neck Surgery, Capital Medical University, Beijing 100730, China
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关键词: Mass spectrometry imaging Thyroid tumor Lipids Biomarker panel Y-scatterplot Serum

摘要:
Changes in serum lipidome and in tissue lipidome are associated with cancer. In this study, tissue mass spectrometry imaging (MSI) and serum lipid profiling by matrix-assisted laser desorption/ionization-Fourier transform ion cyclotron resonance mass spectrometry (MALDI-FTICR MS) were performed to investigate significantly changed lipids in both tumor (malignant thyroid cancer (MTC) and benign thyroid tumor (BTT)) tissues and sera. Y-scatterplots of variable importance in the projection (VIP) values vs. fold change values indicate that change trends in the levels of ten lipids (i.e., phosphatidylcholine (PC)(34:1), PC(36:1), PC(38:6), phosphatidic acid (PA) (36:2), PA(36:3), PA(38:3), PA(38:4), PA(38:5), PA(40:5), and sphingomyelin (SM)(34:1)) in both tissues and sera from MTC patients, BTT patients, and normal individuals are significantly associated with these three types of pathophysiological status. In order to examine their diagnostic ability, 289 serum samples from 124 MTC patients, 43 BTT patients, and 122 normal controls were randomly divided into the training set and validation set. A biomarker of PC(34:1) exhibited excellent diagnostic ability to differentiate both MTC and BTT patients from normal individuals, with an area under the receiver operating characteristic (ROC) curve value of 0.984, a sensitivity of 96.4 %, and a specificity of 92.7 %. A panel which included PA(36:3) and SM(34:1) could distinguish between MTC and BTT, with an area under receiver operating characteristic curve (AUC) of 0.961, a sensitivity of 87.8 %, and a specificity of 92.9 %. It is worth noting that a panel consisting of PC(34:1), PA(36:3), and SM(34:1) could differentiate MTC patients from both BTT patients and normal individuals, with an AUC of 0.841, a sensitivity of 86.6 %, and a specificity of 75.5 %.

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出版当年[2013]版:
大类 | 3 区 化学
小类 | 2 区 分析化学 3 区 生化研究方法
最新[2025]版:
大类 | 2 区 化学
小类 | 3 区 生化研究方法 3 区 分析化学
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出版当年[2012]版:
Q1 BIOCHEMICAL RESEARCH METHODS Q1 CHEMISTRY, ANALYTICAL
最新[2023]版:
Q1 BIOCHEMICAL RESEARCH METHODS Q1 CHEMISTRY, ANALYTICAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2012版] 出版当年五年平均 出版前一年[2011版] 出版后一年[2013版]

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第一作者机构: [1]Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
通讯作者:
通讯机构: [4]Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China [5]Key Laboratory of Otolaryngology, Head and Neck Surgery, Capital Medical University, Beijing 100730, China
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