Construction of a serum diagnostic signature based on m5C-related miRNAs for cancer detection.
Construction of a serum diagnostic signature based on m5C-related miRNAs for cancer detection.
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DOI：
10.3389/fendo.2023.1099703
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发表时间：
2023
影响因子：
5.2
通讯作者：
中科院分区：
文献类型：
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作者：
目前，没有临床相关的非侵入性生物标志物可用于多种癌症类型的筛查。在这项研究中，我们开发了一种基于5-甲基胞嘧啶（m5 C）相关的miRNA（m5 C-miRNAs）的血清诊断标记，用于多种癌症的检测。从Gene Expression Omnibus数据库收集患者的血清miRNA表达数据和相应的临床信息。然后将血清样本以1：1的比例随机分配至训练或验证队列。使用所鉴定的m5 C-miRNA，使用支持向量机算法建立用于癌症检测的m5 C-miRNA签名。构建的m5 C-miRNA标签显示出优异的准确性，其曲线下面积在训练队列、验证队列和组合训练和验证队列中分别为0.977、0.934和0.965。此外，m5 C-miRNA特征的诊断能力不受患者年龄、性别或非癌性疾病的影响。m5 C-miRNA标签也显示出区分肿瘤类型的令人满意的性能。重要的是，在早期癌症的检测中，m5 C-miRNA特征的诊断性能明显优于传统肿瘤生物标志物的诊断性能，具有上级优势。总之，这项工作揭示了血清m5 C-miRNAs在癌症检测中的价值，并为开发用于大规模癌症筛查的非侵入性和成本有效的工具提供了新的策略。
Currently, no clinically relevant non-invasive biomarkers are available for screening of multiple cancer types. In this study, we developed a serum diagnostic signature based on 5-methylcytosine (m5C)-related miRNAs (m5C-miRNAs) for multiple-cancer detection. Serum miRNA expression data and the corresponding clinical information of patients were collected from the Gene Expression Omnibus database. Serum samples were then randomly assigned to the training or validation cohort at a 1:1 ratio. Using the identified m5C-miRNAs, an m5C-miRNA signature for cancer detection was established using a support vector machine algorithm. The constructed m5C-miRNA signature displayed excellent accuracy, and its areas under the curve were 0.977, 0.934, and 0.965 in the training cohort, validation cohort, and combined training and validation cohort, respectively. Moreover, the diagnostic capability of the m5C-miRNA signature was unaffected by patient age or sex or the presence of noncancerous disease. The m5C-miRNA signature also displayed satisfactory performance for distinguishing tumor types. Importantly, in the detection of early-stage cancers, the diagnostic performance of the m5C-miRNA signature was obviously superior to that of conventional tumor biomarkers. In summary, this work revealed the value of serum m5C-miRNAs in cancer detection and provided a new strategy for developing non-invasive and cost effective tools for large-scale cancer screening.
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