Molecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Department of Endoscopy and Ultrasound Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Biomarkers. 2021 Jul;26(5):462-467. doi: 10.1080/1354750X.2021.1917663. Epub 2021 Apr 30.
Colonoscopy is the gold standard for detecting earlier stages of CRC, although screening of patients is difficult because of invasiveness, low compliance and procedural health risks. Therefore, the need for new screening methods for CRC is rising. Previous studies have demonstrated the diagnostic ability of serum BAs; however, the results have been inconsistent. In this study, we conducted a comprehensive analysis of serum BAs from patients with CRC and verified their diagnostic ability to detect CRC.
A total of 56 CRC patients ( = 14 each of stages I-IV), 59 patients with colonic adenoma and 60 healthy controls were included. Age and sex were matched for each group. Serum BA compositions were measured by LC-MS/MS and serum concentration of 30 types of BAs were analysed by discriminant analysis with multidimensional scaling method.
Free CA, 3epi-DCA&CDCA, 3-dehydro CA, GCA and TCA were extracted as principal component (PC) 1 and free 3-dehydroDCA as PC 2 by canonical discriminant function coefficients. The verification of discriminability using cross-validation method revealed that the correct classification rate was 66.3% for original data and 52.6% for cross-validation data.
A combined analysis using comprehensive serum BA concentration can be an efficient method for screening CRC.
结肠镜检查是检测 CRC 早期阶段的金标准,尽管由于侵袭性、低依从性和程序健康风险,对患者进行筛查较为困难。因此,对 CRC 新的筛查方法的需求不断增加。先前的研究已经证明了血清 BAs 的诊断能力,但是结果并不一致。在这项研究中,我们对 CRC 患者的血清 BAs 进行了综合分析,并验证了其检测 CRC 的诊断能力。
共纳入 56 例 CRC 患者(I-IV 期各 14 例)、59 例结肠腺瘤患者和 60 例健康对照者。每组的年龄和性别相匹配。通过 LC-MS/MS 测定血清 BA 组成,通过多维尺度法的判别分析对 30 种血清 BA 浓度进行分析。
通过典型判别函数系数提取游离 CA、3epi-DCA&CDCA、3-去氢 CA、GCA 和 TCA 作为主成分 (PC) 1,游离 3-去氢 DCA 作为 PC 2。使用交叉验证法验证判别能力的结果显示,原始数据的正确分类率为 66.3%,交叉验证数据的正确分类率为 52.6%。
使用综合血清 BA 浓度的联合分析可能是一种有效的 CRC 筛查方法。