Zhai Qingzhi, Zhao Luyang, Wang Mingyang, Li Li, Li Li-An, Ye Mingxia, Li Mingxia, Xu Chengfeng, Meng Yuanguang
Department of Obstetrics and Gynecology, The Seven Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
Emergency Department, The Fourth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
Front Cell Infect Microbiol. 2025 May 8;15:1556153. doi: 10.3389/fcimb.2025.1556153. eCollection 2025.
Cervical carcinoma (CC) remains one of the significant cancers threatening women's health globally. Increasing evidence suggests that alterations in the microbiota are closely associated with cancer development. However, the understanding of reliable biomarkers and underlying mechanisms during the aggravation of cervical neoplasia such as cervical intraepithelial neoplasia (CIN) and CC is still relatively limited.
In this study, cervical swab samples from 53 healthy controls, 51 high-grade squamous intraepithelial lesion (HSIL), and 52 CC patients were subjected to 16S rDNA sequencing and metabolomics analysis.
We observed significant differences in the cervical microbiota between CC patients and healthy controls or HSIL groups. Compared to the healthy controls, CC patients exhibited increased microbial diversity, decreased abundance of , and notable changes in microbial composition. Metabolomics analysis revealed significantly elevated levels of the inflammatory mediator Prostaglandin E2 (PGE2) in CC samples. Through random forest modeling and ROC curve analysis, we identified a combination of key microbiota (, ) and metabolites (Cellopentaose, PGE2) as diagnostic biomarkers with high diagnostic value for CC. Furthermore, we found a significant correlation between the cervical microbiota and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.
These findings indicate that alterations in cervical microbiota and metabolites may be closely associated with the occurrence and aggravation of cervical neoplasia, providing new insights for further understanding the mechanisms of cervical neoplasia progression and developing novel diagnostic markers and therapeutic approaches.
宫颈癌（CC）仍然是全球威胁女性健康的主要癌症之一。越来越多的证据表明，微生物群的改变与癌症发展密切相关。然而，对于宫颈上皮内瘤变（CIN）和CC等宫颈肿瘤加重过程中可靠的生物标志物及潜在机制的理解仍然相对有限。
在本研究中，对53名健康对照者、51名高级别鳞状上皮内病变（HSIL）患者和52名CC患者的宫颈拭子样本进行16S rDNA测序和代谢组学分析。
我们观察到CC患者与健康对照者或HSIL组之间宫颈微生物群存在显著差异。与健康对照者相比，CC患者的微生物多样性增加， 丰度降低，微生物组成有显著变化。代谢组学分析显示CC样本中炎症介质前列腺素E2（PGE2）水平显著升高。通过随机森林建模和ROC曲线分析，我们确定了关键微生物群（ ， ）和代谢物（纤维五糖、PGE2）的组合作为对CC具有高诊断价值的诊断生物标志物。此外，我们发现宫颈微生物群与代谢物PGE2之间存在显著相关性，表明关键微生物群在诱导炎症中可能发挥作用。
这些发现表明，宫颈微生物群和代谢物的改变可能与宫颈肿瘤的发生和加重密切相关，为进一步理解宫颈肿瘤进展机制以及开发新的诊断标志物和治疗方法提供了新的见解。
