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口腔微生物群作为预测不确定的肺结节中恶性瘤风险的生物标志物:一项前性多中心研究

Qiong Ma¹, Chun-Xia Huang¹, Jia-Wei He¹

¹Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.

International journal of surgery (London, England)

|December 27, 2024

概括

唾液中的口腔微生物群可以预测不确定的肺结节 (IPN) 中的恶性肺结节 (MPN). 这种非侵入性方法有助于IPN的手术决策,区分良性肺结节 (BPN) 和MPN.

科学领域:

微生物组研究的研究.
在瘤学瘤学.
生物信息学是一种生物信息学.

背景情况:

区分良性和恶性不确定性肺结节 (IPN) 是一个临床挑战.
口腔微生物群的相互作用与肺癌 (LC) 病原发生有关,这表明它有可能成为IPN的非侵入性生物标志物.
了解口腔微生物群概况可以帮助早期诊断和风险分层.

研究的目的:

研究口腔微生物群作为预测生物标志物的实用性,以区分患有IPN的患者的恶性肺结节 (MPN) 和良性肺结节 (BPN).
确定最佳样本类型并开发用于准确MPN预测的机器学习模型.
发现与MPN相关的微生物生物标志物并验证它们的特异性.

主要方法:

收集了来自1040名IPN患者和70名健康对照者的唾液,喉拭子和舌头涂层样本.
采用了16S rRNA测序,生物信息学,光在位杂交 (FISH) 和七个机器学习算法.
使用LightGBM算法开发和评估了一个MPN预测模型,并在外部队列中验证了生物标志物.

主要成果:

唾液微生物群显示出对疾病状况的最高预测潜力.
唾液-LightGBM模型实现了0.887的AUC,确定了特定的细菌属作为MPN生物标志物.
微生物生物标志物在MPN中显示了丰富的物种间联系,可能有助于病变发生.

结论:

已经建立了一个新的,非侵入性预测策略,使用口腔微生物群来检测IPN患者的MPN.
这种方法支持IPN的临床决策,特别是在手术干预方面.
这些发现突显了口腔微生物群在肺癌发展中的作用,并提供了一个有前途的诊断工具.

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