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中国医药导刊 ›› 2022, Vol. 24 ›› Issue (2): 131-139.

• 论著 • 上一篇    下一篇

尿液非极性代谢物中筛选结直肠癌诊断与化疗毒性标志物

林泽帅1, 晏涛2, 陈佳妮3a, 姚厚山3b, 陈伟3a, 张凤3a, 李明明3a, 姚佳1*, 陈万生3a*   

  1. 1.山西医科大学生物化学与分子生物学教研室, 山西 太原 030001;  2.宜春学院, 江西 宜春 336000;  3.中国人民解放军海军军医大学第二附属医院药剂科a, 外科b, 上海 200003
  • 收稿日期:2022-02-11 出版日期:2022-02-28 发布日期:2022-02-28
  • 基金资助:
    国家国际科技合作专项项目(项目编号:2015DFA31810;项目名称:肿瘤个体化治疗新型生物标志物的发现与应用);上海市科学技术委员会科研计划项目(项目编号:19QB1404500;项目名称:结直肠肿瘤靶向代谢组标志物的系统研究);上海申康医院发展中心临床科技创新项目(项目编号:SHDC12015120;项目名称:结直肠癌术后辅助化疗新型生物标志物的发现与应用);长征医院人才建设三年行动计划——“金字塔人才工程”拔尖学科带头人项目

Screening of Toxic Markers for Diagnosis and Chemotherapy of Colorectal Cancer from Urine Non-Polar Metabolites

  1. 1.Department of Biochemistry and Molecular Biology,Shanxi Medical University, Shanxi Taiyuan 030001, China;  2.Yichun University, Jiangxi Yichun 33600, China;  3.Department of Pharmacya, Department of Surgeryb, Changzheng Hospital, Naval Medical University(Second Military Medical University), Shanghai 200003, China
  • Received:2022-02-11 Online:2022-02-28 Published:2022-02-28
  • Contact: yao yao jiajia E-mail:yaojia2006@163.com

摘要: 目的:从结直肠癌(CRC)患者尿液中的内源性代谢物,寻找潜在的诊断生物标志物和卡培他滨相关不良反应(CRAE)的生物标志物。方法:采用超高效液相色谱结合四极杆飞行时间质谱(UHPLC-Q-TOF-MS)的方法,分析148例CRC患者和50例非肿瘤对照者的尿液代谢谱。对数据进行生物信息学分析并建立CRC预测模型。结果:CRC潜在诊断标志物包括3-Hexenedioic acid、Salicylic acid、(R)-Athanagrandione、PC (15∶0/20∶4)和(9E,11E)-Octadecadienoic等与脂类代谢相关的非极性代谢物。ROC曲线显示训练集的曲线下面积(area under curve, AUC)为0.980(95% CI:0.949-0.999),敏感度98.4%,特异度92.6%;测试集的AUC为1(95% CI:1-1),敏感度98.6%,特异度100%。(R)-Athanagrandione和Salicylic acid联合预测腹泻时,AUC为0.773(95% CI:0.617-0.921),敏感度为83.3%,特异度为68.2%。结论:尿液中非极性代谢标志物模型在CRC的早期诊断和CRAE的预测方面具有较高的临床价值。

关键词: font-size:medium, ">尿液;结直肠癌;脂类;非靶向代谢组学;非极性代谢物;卡培他滨;不良反应

Abstract: Objective:To identify potential diagnostic biomarkers and capecitabine-related adverse effect (CRAE) biomarkers from urinary endogenous metabolites in Chinese colorectal cancer (CRC) patients. Methods:The metabolic profiles of 148 CRC patients and 50 non-neoplastic controls were analyzed using ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS).The data were bioinformatically analyzed and established a CRC predictive model. Results:A series of diagnostic markers for CRC were found, including 3-Hexenedioic acid, Salicylic acid, (R)-Athanagrandione, PC (15∶0/20∶4) and (9E, 11 E)-Octadecadienoic, which are non-polar metabolites related to lipid metabolism using.The ROC curve shows the area under the curve(AUC) of the training set is 0.980, (95%CI:0.949-0.999; Sensitivity:98.4%; Specificity:92.6%), the AUC of the test set is 1, (Sensitivity:98.6%; Specificity:100%). In addition, (R)-athanagrandione and Salicylic acid can be combined to predict diarrhea, with an AUC of 0.773(95% CI:0.617-0.921, sensitivity:83.3%, specificity:68.2%). Conclusion:The constructed models based on urine non-polar metabolites have both great clinical values in the early detection of CRC and the prediction of CRAE.

Key words: Urine, Colorectal cancer, Lipids, Untargeted metabolomics, Non-polar metabolites, Capecitabine, Adverse effects

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