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在口腔状细胞癌中,通过PI3K/AKT/mTOR途径调节的复发是口腔微生物特征的基础

Da-Woon Kwack¹, Zeba Praveen², Yeon-Hee Kim²

¹Oral Oncology Clinic, Research Institute & Hospital, National Cancer Center, Gyeonggi-do, Republic of Korea.

Journal of oral microbiology

|September 24, 2025

概括

口腔微生物组分析预测口腔状细胞癌 (OSCC) 的复发. 特定的细菌如Eubacterium和Lactobacillus与复发有关,而Veillonella则表明更好的预后,为患者的结果提供潜在的生物标志物.

科学领域:

微生物学微生物学
在瘤学瘤学.
基因组学就是基因组学.

背景情况:

口腔状细胞癌 (OSCC) 经常复发,影响患者的存活率.
口腔微生物组在OSCC复发和预后中的作用仍然不清楚.
这项研究旨在确定与OSCC复发相关的口腔微生物特征.

研究的目的:

调查口腔微生物组在预测OSCC复发中的预后价值.
确定与复发性OSCC和患者存活率相关的特定细菌物种.
探索OSCC中受口腔微生物群影响的功能途径.

主要方法:

从133名OSCC患者收集了唾液样本.
进行了16S rRNA基因测序,用于微生物分析.
使用XGBoost进行微生物特征预测,使用PICRUSt2进行功能性元基因组预测.

主要成果:

确定了欧细菌,乳杆菌,金氏菌,Paludibacter,Parvimonas,葡萄球菌和Veillonella作为OSCC复发的预测因素.
欧细菌和乳杆菌的丰富与更高的复发率和更差的存活率相关.
葡萄球菌和Veillonella的丰富性与非复发性疾病和良好的预后有关.
基于微生物组的模型 (AUC=0.741) 的表现优于临床N阶段模型 (AUC=0.66).
欧细菌和乳杆菌与PI3K/AKT/mTOR通路基因具有正相关性,而Veillonella则显示出负相关性.

结论:

独特的口腔唾液微生物组模式与OSCC复发有关.
丰富的Eubacterium和乳杆菌,和较低的Veillonella丰度可能会通过PI3K/AKT/mTOR途径驱动复发.
基于唾液的微生物生物标志物对OSCC具有显著的预后潜力.

关键词:

口腔状细胞癌的癌症.在PI3K/AKT/mTOR路径中.机器学习是机器学习.口腔微生物组是口腔的微生物组.预后预后预后复发性复发性复发性

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