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口腔微生物群特征可预测结直肠癌的预后。

Oral microbiota signature predicts the prognosis of colorectal carcinoma.

作者信息

Zhou Shi-Hao, Du Yan, Xue Wen-Qiong, He Min-Jun, Zhou Ting, Zhao Zhi-Yang, Pei Lu, Chen Yi-Wei, Xie Jin-Ru, Huang Chang-Ling, He Yong-Qiao, Wang Tong-Min, Liao Ying, Jia Wei-Hua

机构信息

School of Public Health, Sun Yat-sen University, Guangzhou, China.

State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R, China.

出版信息

NPJ Biofilms Microbiomes. 2025 May 5;11(1):71. doi: 10.1038/s41522-025-00702-0.

Abstract

Emerging evidence links oral-derived gut microbes to colorectal cancer (CRC) development, but CRC prognosis-related microbial alterations in oral remain underexplored. In a retrospective study of 312 CRC patients, we examined the oral microbiota using 16S rRNA gene full-length amplicon sequencing to identify prognostic microbial biomarkers for CRC. Neisseria oralis and Campylobacter gracilis increased CRC progression risk (HR = 2.63 with P = 0.007, HR = 2.27 with P = 0.001, respectively), while Treponema medium showed protective effects (HR = 0.41, P = 0.0002). A microbial risk score (MRS) incorporating these species effectively predicted CRC progression risk (C-index = 0.68, 95% CI = 0.61-0.76). When compared to a model constructed solely from clinical factors, including tumor stage, lymphatic metastasis, and perineural invasion, the predictive accuracy significantly improved with the addition of the MRS, resulting in a C-index rising to 0.77 (P = 2.33 × 10). Our findings suggest that oral microbiota biomarkers may contribute to personalized CRC monitoring strategies, their implementation in clinical surveillance necessitates confirmatory studies.

摘要

新出现的证据将口腔来源的肠道微生物与结直肠癌(CRC)的发生联系起来,但口腔中与CRC预后相关的微生物变化仍未得到充分研究。在一项对312例CRC患者的回顾性研究中,我们使用16S rRNA基因全长扩增子测序来检查口腔微生物群,以确定CRC的预后微生物生物标志物。口腔奈瑟菌和纤细弯曲菌增加了CRC进展风险(HR分别为2.63,P = 0.007;HR为2.27,P = 0.001),而中间密螺旋体则显示出保护作用(HR = 0.41,P = 0.0002)。纳入这些菌种的微生物风险评分(MRS)有效地预测了CRC进展风险(C指数 = 0.68,95% CI = 0.61 - 0.76)。与仅由临床因素构建的模型(包括肿瘤分期、淋巴转移和神经周围浸润)相比,加入MRS后预测准确性显著提高,C指数升至0.77(P = 2.33×10)。我们的研究结果表明,口腔微生物群生物标志物可能有助于个性化的CRC监测策略,但其在临床监测中的应用需要进行验证性研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cbf/12053567/334f01aab25c/41522_2025_702_Fig1_HTML.jpg

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