在与环境相关的样本类型中探索口腔状细胞癌中的口腔微生物组
Zizheng Wang1,2,3, Yilong Chen1,2, Haoning Li4
1West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Microbiology spectrum
|February 27, 2025
概括
这一元分析揭示了口腔状细胞癌 (OSCC) 中不同样本类型的口腔微生物组特征. 使用扫描样本的诊断模型显示,对早期OSCC检测有希望.
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) 中口腔微生物组的作用是公认的,但缺乏系统的评估.
- 以前对口腔微生物组和OSCC的研究主要是单中心的,这限制了概括性.
- 了解跨OSCC表型的微生物组变化对于癌症进展的洞察至关重要.
研究的目的:
- 对与OSCC相关的16S rRNA基因数据进行全面的元分析,以描述口腔微生物组的动态.
- 在各种样本类型和OSCC表型中调查口腔微生物组合的差异.
- 开发和验证基于口腔微生物特征的OSCC检测诊断模型.
主要方法:
- 进行了1255个样本的元分析,这些样本来自与OSCC相关的16S rRNA基因数据集.
- 分析了样本类型 (活检,抽样) 和OSCC组 (癌症,正常邻近组织,纤维皮质多) 之间的微生物群差异.
- 使用抽样样本开发了一个随机森林诊断模型,并在单独的测序平台上验证了它.
主要成果:
- 在不同表型的活检和抽样样之间观察到不同的口腔微生物群特征.
- 活检样本显示癌症和正常邻近组织 (NAT) 组之间的相似性较高,而不是纤维细胞多体 (FEP) 样本.
- 诊断模型在抽样样本上达到0.918的AUC,在独立数据集上达到0.849,表明了诊断潜力.
结论:
- 口腔微生物组的组成因样本类型和OSCC进展阶段而异.
- 抽样样本有可能为OSCC开发可靠的诊断工具.
- 本研究提供了OSCC口腔微生物组动态的全面概述,有助于早期检测和治疗策略.
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