Department of Clinical Laboratory, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Department of Medical Oncology, The First Affiliated Hospital of Hainan Medical University, Haikou, China.
Mol Biotechnol. 2024 Sep;66(9):2254-2261. doi: 10.1007/s12033-023-00855-3. Epub 2023 Aug 23.
This study aimed to explore the role of plasma methylated SEPT9 (mSEPT9) in predicting liver metastasis (LM) in colorectal cancer (CRC) patients. The clinicopathological information of 115 consecutive CRC patients were collected. The differences of clinical characteristics and several biomarkers between CRC patients with LM and those with non-liver metastasis (NM) were analyzed. Multivariate logistic regression analysis was used to identify the risk factors for predicting LM in CRC patients. Receiver operating characteristic curve (ROC) analysis was applied to investigate the sensitivity and specificity of potential biomarkers in indicating the presence of LM in CRC. Compared with the CRC without LM, the levels of plasma mSEPT9 and carcinoembryonic antigen (CEA) were significantly increased in CRC with LM. Multivariate logistic regression analysis showed that plasma mSEPT9 was an independent risk factor for predicting LM in CRC. ROC curves showed that mSEPT9 and CEA could efficiently distinguish LM from NM in CRC. The area under the curve (AUC) of mSEPT9 was 0.850, which was slightly higher than that of CEA (0.842). The optimal cut-off value of mSEPT9 was 35.09 with a sensitivity of 81.82% and a specificity of 73.33%, both similar with that of CEA (sensitivity 87.27% and specificity 75.00%). In addition, the combination of mSEPT9 and CEA had a higher specificity than CEA alone (81.70% Vs 75.00%). Our findings suggest, for the first time, that plasma mSEPT9 might serve as a potential biomarker to predict LM in CRC, which deserves further in-depth study.
本研究旨在探讨血浆甲基化 SEPT9（mSEPT9）在预测结直肠癌（CRC）患者肝转移（LM）中的作用。收集了 115 例连续的 CRC 患者的临床病理信息。分析了 LM 与非肝转移（NM）CRC 患者的临床特征和几种生物标志物的差异。采用多变量逻辑回归分析确定预测 CRC 患者 LM 的危险因素。应用受试者工作特征曲线（ROC）分析探讨潜在生物标志物在指示 CRC 中 LM 存在的敏感性和特异性。与无 LM 的 CRC 相比，LM 组的血浆 mSEPT9 和癌胚抗原（CEA）水平显著升高。多变量逻辑回归分析显示，血浆 mSEPT9 是预测 CRC 中 LM 的独立危险因素。ROC 曲线显示，mSEPT9 和 CEA 可有效区分 CRC 中的 LM 与 NM。mSEPT9 的曲线下面积（AUC）为 0.850，略高于 CEA（0.842）。mSEPT9 的最佳截断值为 35.09，其敏感性为 81.82%，特异性为 73.33%，与 CEA 的敏感性（87.27%）和特异性（75.00%）相似。此外，mSEPT9 与 CEA 的组合比 CEA 单独具有更高的特异性（81.70%比 75.00%）。我们的研究结果首次表明，血浆 mSEPT9 可能作为预测 CRC 中 LM 的潜在生物标志物，值得进一步深入研究。
