用于多种癌症检测和胃癌筛查的循环microRNA面板:利用网络生物学方法。

IF 2.1 4区 医学 Q3 GENETICS & HEREDITY
Leila Kamkar, Samaneh Saberi, Mehdi Totonchi, Kaveh Kavousi
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引用次数: 0

摘要

背景:筛查试验,特别是循环mirna的液体活检,在症状出现之前具有非侵入性癌症检测的巨大潜力。方法:本研究旨在寻找具有高灵敏度和特异性的生物标志物,用于多种和特异性癌症的筛查。使用加权miRNA共表达网络分析比较了13种癌症类型和健康个体的972个血清miRNA谱。为了确定miRNA的优先级,采用了模块隶属度测量和miRNA特征显著性。随后,对于特定的癌症筛查,胃癌被重点关注,使用类似的策略和进一步的保存分析。然后应用机器学习技术来评估两个不同的miRNA组:一个用于多癌筛查,另一个用于胃癌分类。结果:第一组(hsa-miR-8073, hsa-miR-614, hsa-miR-548ah-5p, hsa-miR-1258)在多癌筛查中准确率为96.1%,特异性为96%,灵敏度为98.6%。第二组(hsa-miR-1228-5p, hsa-miR-1343-3p, hsa-miR-6765-5p, hsa-miR-6787-5p)显示出检测胃癌的希望,准确率为87%,特异性为90%,灵敏度为89%。结论:在诊断和预后方面,这两种方法都显示出患者分类的潜力,突出了液体活检在推进癌症筛查方法方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circulating microRNA panels for multi-cancer detection and gastric cancer screening: leveraging a network biology approach.

Background: Screening tests, particularly liquid biopsy with circulating miRNAs, hold significant potential for non-invasive cancer detection before symptoms manifest.

Methods: This study aimed to identify biomarkers with high sensitivity and specificity for multiple and specific cancer screening. 972 Serum miRNA profiles were compared across thirteen cancer types and healthy individuals using weighted miRNA co-expression network analysis. To prioritize miRNAs, module membership measure and miRNA trait significance were employed. Subsequently, for specific cancer screening, gastric cancer was focused on, using a similar strategy and a further step of preservation analysis. Machine learning techniques were then applied to evaluate two distinct miRNA panels: one for multi-cancer screening and another for gastric cancer classification.

Results: The first panel (hsa-miR-8073, hsa-miR-614, hsa-miR-548ah-5p, hsa-miR-1258) achieved 96.1% accuracy, 96% specificity, and 98.6% sensitivity in multi-cancer screening. The second panel (hsa-miR-1228-5p, hsa-miR-1343-3p, hsa-miR-6765-5p, hsa-miR-6787-5p) showed promise in detecting gastric cancer with 87% accuracy, 90% specificity, and 89% sensitivity.

Conclusions: Both panels exhibit potential for patient classification in diagnostic and prognostic applications, highlighting the significance of liquid biopsy in advancing cancer screening methodologies.

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来源期刊
BMC Medical Genomics
BMC Medical Genomics 医学-遗传学
CiteScore
3.90
自引率
0.00%
发文量
243
审稿时长
3.5 months
期刊介绍: BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.
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