Chen Yu-Nung, Shih Cheng-Yen, Guo Shu-Lin, Liu Chih-Yi, Shen Ming-Hung, Chang Shih-Chang, Ku Wei-Chi, Huang Chi-Cheng, Huang Chi-Jung
Division of Colorectal Surgery, Department of Surgery, Cathay General Hospital, Taipei 10630, Taiwan, R.O.C.
Division of Gastroenterology, Department of Internal Medicine, Sijhih Cathay General Hospital, New Taipei 22174, Taiwan, R.O.C.
Biomed Rep. 2023 Feb 7;18(3):22. doi: 10.3892/br.2023.1604. eCollection 2023 Mar.
Colorectal cancer (CRC) is the most common gastrointestinal malignancy worldwide. The poor specificity and sensitivity of the fecal occult blood test has prompted the development of CRC-related genetic markers for CRC screening and treatment. Gene expression profiles in stool specimens are effective, sensitive and clinically applicable. Herein, a novel advantage of using cells shed from the colon is presented for cost-effective CRC screening. Molecular panels were generated through a series of leave-one-out cross-validation and discriminant analyses. A logistic regression model following reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry was used to validate a specific panel for CRC prediction. The panel, consisting of ubiquitin-conjugating enzyme E2 N (UBE2N), inosine monophosphate dehydrogenase 1 (IMPDH1), dynein cytoplasmic 1 light intermediate chain 1 (DYNC1LI1) and phospholipase A and acyltransferase 2 (HRASLS2), accurately recognized patients with CRC and could thus be further investigated as a potential prognostic and predictive biomarker for CRC. UBE2N, IMPDH1 and DYNC1LI1 expression levels were upregulated and HRASLS2 expression was downregulated in CRC tissues. The predictive power of the panel was 96.6% [95% confidence interval (CI), 88.1-99.6%] sensitivity and 89.7% (95% CI, 72.6-97.8%) specificity at a predicted cut-off value at 0.540, suggesting that this four-gene panel testing of stool specimens can faithfully mirror the state of the colon. On the whole, the present study demonstrates that screening for CRC or cancer detection in stool specimens collected non-invasively does not require the inclusion of an excessive number of genes, and colonic defects can be identified via the detection of an aberrant protein in the mucosa or submucosa.
结直肠癌(CRC)是全球最常见的胃肠道恶性肿瘤。粪便潜血试验特异性和敏感性较差,促使人们研发用于CRC筛查和治疗的相关基因标志物。粪便标本中的基因表达谱有效、敏感且具有临床适用性。本文提出了利用结肠脱落细胞进行经济高效的CRC筛查的新优势。通过一系列留一法交叉验证和判别分析生成了分子面板。采用逆转录定量聚合酶链反应(RT-qPCR)和免疫组织化学后的逻辑回归模型来验证用于CRC预测的特定面板。该面板由泛素结合酶E2 N(UBE2N)、肌苷单磷酸脱氢酶1(IMPDH1)、动力蛋白胞质1轻中间链1(DYNC1LI1)和磷脂酶A和酰基转移酶2(HRASLS2)组成,能够准确识别CRC患者,因此可作为CRC潜在的预后和预测生物标志物作进一步研究。在CRC组织中,UBE2N、IMPDH1和DYNC1LI1的表达水平上调,而HRASLS2的表达下调。该面板在预测临界值为0.540时的预测能力为敏感性96.6%[95%置信区间(CI),88.1 - 99.6%],特异性89.7%(95%CI,72.6 - 97.8%),这表明对粪便标本进行这四个基因的面板检测能够如实反映结肠状态。总体而言,本研究表明,对非侵入性收集的粪便标本进行CRC筛查或癌症检测无需纳入过多基因,通过检测黏膜或黏膜下层的异常蛋白即可识别结肠病变。