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一个机器学习模型用于在狗中查癌症,使用全面的循环microRNA配置文件

Ruisa Nishida¹, Masashi Takahashi², Kaori Ide³

¹Research and Development Division, ARKRAY, Inc., Kyoto 602-0008, Japan.

Journal of veterinary internal medicine

|February 26, 2026

概括

使用microRNA (miRNA) 配置文件和机器学习的新诊断模型可以准确地检测狗的癌症. 这种液体活检方法在兽医实践中显示出作为查工具的前景.

科学领域:

兽医瘤学兽医瘤学
分子诊断学分子诊断学
生物信息学是一种生物信息学.

背景情况:

微RNA (miRNA) 是癌症发展中的关键非编码RNA.
目前的诊断方法在区分犬癌与其他疾病方面缺乏特异性.
使用miRNA检测犬癌的液体活检在很大程度上仍未被探索.

研究的目的:

开发和验证用于犬癌症检测的诊断模型.
为了区分患有癌症的狗与健康的狗以及患有非恶性疾病的狗.
评估下一代测序 (NGS) 和机器学习在犬癌诊断中的实用性.

主要方法:

从574只狗 (168只癌症,138只非恶性疾病,268只健康) 的血样本使用NGS进行了分析.
使用机器学习 (DataRobot) 创建和分析了全面的miRNA配置文件.
使用50个表达最高的miRNAs构建了一个模型,通过5倍交叉验证进行了优化.

主要成果:

基于miRNA的诊断模型实现了曲线下的面积 (AUC) 为0.907.
该模型表现出高精度,灵敏度和特异性均为0.85.5.
它成功地将患有癌症的狗与健康的对照犬以及非恶性疾病的狗区分开来.

结论:

整合NGS衍生miRNA配置文件和机器学习的诊断模型对犬癌症检测有效.
这种方法可以将受癌症影响的狗与健康和非恶性疾病群体区分开来.
这些发现支持该模型作为兽医环境中的非侵入性查测试的潜在使用.

关键词:

液体活检活检液体活检这是下一代测序.没有编码的RNA.瘤学在瘤学方面.

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相关概念视频

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...