Ferlizza Enea, Solmi Rossella, Miglio Rossella, Nardi Elena, Mattei Gabriella, Sgarzi Michela, Lauriola Mattia
Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Via Belmeloro 8, 40126 Bologna, Italy.
Department of Statistical Sciences, University of Bologna, Via Belle Arti 42, 40100 Bologna, Italy.
J Adv Res. 2020 Mar 3;24:99-107. doi: 10.1016/j.jare.2020.03.001. eCollection 2020 Jul.
Prevention is essential to reduce Colorectal Cancer (CRC) mortality. We previously reported a panel of four genes: able to discriminate patients with CRC. Here, we assessed the CELTiC panel by quantitative polymerase chain reaction, in the blood of 174 healthy subjects, who resulted negative to the faecal immunochemical test (FITN). Using non-parametric statistic and multinomial logistic models, the FITN were compared to previously analysed subjects: 36 false positive FIT (NFIT), who were negative at colonoscopy, 36 patients with low risk lesions (LR) and 92 patients with high risk lesions or CRC (HR/CRC). FITN showed a significantly lower expression of the four genes when compared to HR/CRC. Moreover, FITN showed a significantly lower expression of and compared to NFIT and LR patients. The multinomial logistic model confirmed that alone specifically discriminated FITN from NFIT, LR and HR/CRC, while was able to differentiate FITN from false positive FIT. Finally, ROC curves analysis of the comparisons between FITN and HR/CRC, LR or NFIT reported AUC greater than 0.87, with a sensitivity and specificity of 83% and 76%, respectively. The CELTiC panel was confirmed a useful tool to identify CRC patients and to discriminate false FIT positive subjects.
预防对于降低结直肠癌（CRC）死亡率至关重要。我们之前报告了一组四个基因，能够区分CRC患者。在此，我们通过定量聚合酶链反应在174名粪便免疫化学检测（FITN）结果为阴性的健康受试者血液中评估了CELTiC检测组。使用非参数统计和多项逻辑模型，将FITN与之前分析的受试者进行比较：36名结肠镜检查阴性的粪便免疫化学检测假阳性（NFIT）、36名低风险病变患者（LR）和92名高风险病变或CRC患者（HR/CRC）。与HR/CRC相比，FITN显示四个基因的表达显著降低。此外，与NFIT和LR患者相比，FITN显示 和 的表达显著降低。多项逻辑模型证实，单独的 能够特异性地将FITN与NFIT、LR和HR/CRC区分开来，而 能够将FITN与假阳性FIT区分开来。最后，FITN与HR/CRC、LR或NFIT之间比较的ROC曲线分析报告AUC大于0.87，敏感性和特异性分别为83%和76%。CELTiC检测组被证实是识别CRC患者和区分粪便免疫化学检测假阳性受试者的有用工具。
