Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.
Serum microRNA signatures and metabolomics have high diagnostic value in colorectal cancer using two novel methods.
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DOI：
10.1111/cas.13514
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发表时间：
2018-04
期刊：
影响因子：
5.7
通讯作者：
Shen XZ
中科院分区：
文献类型：
--
作者：
Liu HN;Liu TT;Wu H;Chen YJ;Tseng YJ;Yao C;Weng SQ;Dong L;Shen XZ
近年来，许多新的诊断生物标志物已被开发用于结直肠癌。本研究选择了2种诊断效率较高的方法，即血清microRNA检测法和基于气相色谱/质谱（GC/MS）的代谢组学方法，旨在建立合适的模型。我们回顾了以前诊断测试鉴定的所有microRNA的诊断价值。我们选择合适的microRNA来验证它们的诊断效率，并确定最佳组合。我们选取85例结直肠癌（CRC）患者和78例健康对照者（HC），检测microRNA的表达。采用GC/MS分析，并采用3种多元统计方法建立诊断模型。检测癌胚抗原（CEA）和糖类抗原19 - 9（CA 19 - 9）的浓度，以与新模型进行比较。最终，62项已发表的研究和63种microRNA被纳入本综述。选择miR-21、miR-29 a、miR-92 a、miR-125 b和miR-223进一步验证其诊断价值。CRC患者血清中5种microRNA水平均显著高于HC患者。miR-21、miR-29 a、miR-92 a和miR-125 b的组合具有最高的曲线下面积（AUC），为0.952，灵敏度为84.7%，特异性为98.7%。GC/MS分析显示出良好的诊断价值，AUC达到1.0。对于传统生物标志物，CEA和CA 19 - 9的AUC分别为0.808和0.705。microRNA和代谢组学作为新的诊断方法，与传统的生物标志物相比具有较高的诊断价值，应用前景良好。
Recently, many new diagnostic biomarkers have been developed for colorectal cancer. We chose 2 methods with high diagnostic efficiency, the detection of serum microRNA and metabolomics based on gas chromatography/mass spectrometry (GC/MS), and aimed to establish appropriate models. We reviewed the diagnostic value of all microRNA identified by previous diagnostic tests. We selected appropriate microRNA to validate their diagnostic efficiency, and determined the optimal combination. We included 85 patients with colorectal cancer (CRC) and 78 healthy controls (HC) and detected the expression of the microRNA. GC/MS analysis was conducted, and we used 3 multivariate statistical methods to establish diagnostic models. The concentrations of carcinoembryonic antigen (CEA) and carbohydrate antigen 19‐9 (CA19‐9) were detected for comparison with the novel models. Ultimately, 62 published studies and 63 microRNA were included in this review. MiR‐21, miR‐29a, miR‐92a, miR‐125b and miR‐223 were selected to further validate their diagnostic value. The serum levels of the 5 microRNA in CRC patients were significantly higher than those in the HC. The combination of miR‐21, miR‐29a, miR‐92a and miR‐125b had the highest area under the curve (AUC) at 0.952, with a sensitivity of 84.7% and a specificity of 98.7%. The GC/MS analysis exhibited an excellent diagnostic value and the AUC reached 1.0. With regard to traditional biomarkers, the AUC of CEA and CA19‐9 were 0.808 and 0.705, respectively. The application prospects are good for microRNA and metabolomics as new diagnostic methods because of their high diagnostic value compared with traditional biomarkers.
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