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Urine-NMR metabolomics for screening of advanced colorectal adenoma and early stage colorectal cancer

机译:尿核磁共振代谢组学筛查晚期大肠腺瘤和早期大肠癌

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摘要

Although colorectal cancer (CRC) is considered one of the most preventable cancers, no non-invasive, accurate diagnostic tool to screen CRC exists. We explored the potential of urine nuclear magnetic resonance (NMR) metabolomics as a diagnostic tool for early detection of CRC, focusing on advanced adenoma and stage 0 CRC. Urine metabolomics profiles from patients with colorectal neoplasia (CRN; 36 advanced adenomas and 56 CRCs at various stages, n = 92) and healthy controls (normal, n = 156) were analyzed by NMR spectroscopy. Healthy and CRN groups were statistically discriminated using orthogonal projections to latent structure discriminant analysis (OPLS-DA). The class prediction model was validated by three-fold cross-validation. The advanced adenoma and stage 0 CRC were grouped together as pre-invasive CRN. The OPLS-DA score plot showed statistically significant discrimination between pre-invasive CRN as well as advanced CRC and healthy controls with a Q2 value of 0.746. In the prediction validation study, the sensitivity and specificity for diagnosing pre-invasive CRN were 96.2% and 95%, respectively. The grades predicted by the OPLS-DA model showed that the areas under the curve were 0.823 for taurine, 0.783 for alanine, and 0.842 for 3-aminoisobutyrate. In multiple receiver operating characteristics curve analyses, taurine, alanine, and 3-aminoisobutyrate were good discriminators for CRC patients. NMR-based urine metabolomics profiles significantly and accurately discriminate patients with pre-invasive CRN as well as advanced CRC from healthy individuals. Urine-NMR metabolomics has potential as a screening tool for accurate diagnosis of pre-invasive CRN.
机译:尽管结直肠癌(CRC)被认为是最可预防的癌症之一,但不存在用于筛查CRC的非侵入性,准确诊断工具。我们探讨了尿液核磁共振(NMR)代谢组学作为早期发现CRC的诊断工具的潜力,重点是晚期腺瘤和0期CRC。通过核磁共振波谱分析了大肠肿瘤(CRN; 36个不同阶段的晚期腺瘤和56个CRC,n = 92)和健康对照(正常,n = 156)患者的尿代谢组学谱。使用正交投影对潜在结构判别分析(OPLS-DA)进行统计学区分健康和CRN组。通过三重交叉验证对班级预测模型进行验证。晚期腺瘤和0期CRC合并为浸润前CRN。 OPLS-DA评分图显示了在浸润前CRN以及晚期CRC与健康对照之间的统计学显着差异,Q2值为0.746。在预测验证研究中,诊断浸润前CRN的敏感性和特异性分别为96.2%和95%。 OPLS-DA模型预测的等级显示,曲线下的面积为牛磺酸0.823,丙氨酸0.783和3-氨基异丁酸酯0.842。在多接收器的工作特性曲线分析中,牛磺酸,丙氨酸和3-氨基异丁酸酯是CRC患者的良好判别器。基于NMR的尿液代谢组学谱可显着,准确地将浸润前CRN和晚期CRC与健康个体区分开来。尿NMR代谢组学有潜力作为准确诊断浸润前CRN的筛查工具。

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