Departments of Clinical Laboratory, Shantou Central Hospital, Shantou, China.
Departments of Clinical Laboratory, The First Affiliated Hospital of Shantou University Medical College, China.
Dis Markers. 2021 Nov 22;2021:1171239. doi: 10.1155/2021/1171239. eCollection 2021.
Accurate analysis of intestinal microbiota will facilitate establishment of an evaluating system for assessing colorectal cancer (CRC) risk and prognosis. This study evaluates the potential role of () and with a gene () in early CRC diagnosis.
We recruited 139 patients, including CRC ( = 60), colorectal adenomatous polyposis (CAP) ( = 37), and healthy individuals ( = 42) based on their colonoscopy examinations. We collected stool and serum samples from the participants and measured the relative abundance of and in fecal samples by quantitative PCR. Receiver operating characteristic curve (ROC) analyses were used to analyze the diagnostic value of single or combined biomarkers.
Fecal and levels were higher in the CRC group in either the CAP group or healthy controls ( = 0.02; 0.01). There was no statistical difference in the distribution of and in patients with different tumor sites ( > 0.05). The combination of ++CEA+CA19-9+FOBT was chosen as the optimal panel in differentiating both CRC and CAP from the controls. The combination of , , and FOBT improved diagnostic efficiency. However, there was difficulty in differentiating CRC from CAP.
Our results suggested that combining bacterial markers with conventional tumor markers improves the diagnostic efficiency for noninvasive diagnosis of CRC.
准确分析肠道微生物群将有助于建立评估结直肠癌(CRC)风险和预后的评估系统。本研究评估了()和()基因()在早期 CRC 诊断中的潜在作用。
我们根据结肠镜检查结果招募了 139 名患者,包括 CRC(=60)、结直肠腺瘤性息肉(CAP)(=37)和健康个体(=42)。我们从参与者中收集粪便和血清样本,并通过定量 PCR 测量粪便样本中()和()的相对丰度。受试者工作特征曲线(ROC)分析用于分析单个或组合生物标志物的诊断价值。
CRC 组的粪便()和()水平高于 CAP 组或健康对照组(=0.02;0.01)。不同肿瘤部位患者的()和()分布无统计学差异(>0.05)。++CEA+CA19-9+FOBT 的组合被选为区分 CRC 和 CAP 与对照组的最佳组合。()、()和 FOBT 的组合提高了诊断效率。然而,区分 CRC 与 CAP 存在困难。
我们的结果表明,将细菌标志物与传统肿瘤标志物相结合,可提高非侵入性诊断 CRC 的诊断效率。