评估微生物群落在预测喉癌复发中的预后价值:一个多中心病例控制研究
Chi-Yao Hsueh1, Xiaohui Yuan1, Huiying Huang1
1ENT institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China.
NPJ biofilms and microbiomes
|August 9, 2025
概括
一个新的Serratia-Fusobacterium评分模型预测喉状细胞癌在喉保护疗法后复发. 该模型提供了比TNM患者监测阶段系统更好的预后见解.
科学领域:
- 在瘤学瘤学.
- 微生物组研究 微生物组研究
- 基因组学就是基因组学.
背景情况:
- 喉状细胞癌 (LSCC) 在治疗后复发带来了挑战.
- 喉保护疗法旨在维持功能,但复发仍然是一个问题.
- 微生物社区的改变可能会影响LSCC复发风险.
研究的目的:
- 为了确定微生物生物标志物,预测LSCC的喉保护疗法后的复发.
- 开发和验证LSCC复发的预后模型.
- 将模型的预测性能与TNM分期系统进行比较.
主要方法:
- 复发性与非复发性LSCC患者中微生物群落的比较分析.
- 生存分析以确定预后性微生物因素.
- 开发和验证一个Serratia-Fusobacterium (SF) 预后评分模型.
- 用于模型性能评估的曲线下面面积 (AUC) 分析.
主要成果:
- 显著的微生物结构,特别是Fusobacterium和Serratia的丰富性,与复发有关.
- Fusobacterium和Serratia被确定为LSCC复发的独立预后因素.
- 在预测复发时,SF模型实现了高AUC (81.37%和78.48%),超过了TNM分期.
- 通过SF模型识别的高风险患者的无病存活时间显著缩短.
结论:
- 塞拉提亚-Fusobacterium预后评分模型有效预测喉保护疗法后LSCC复发.
- SF模型为指导LSCC监控策略提供了有价值的预后信息.
- 基于微生物组的模型有望改善LSCC患者的风险分层.
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