评估微生物群落在预测喉癌复发中的预后价值:一项多中心病例对照研究。

IF 9.2 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Chi-Yao Hsueh, Xiaohui Yuan, Huiying Huang, Yujie Shen, Qiang Huang, Weida Dong, Danhui Li, Hui-Ching Lau, Xinhui Mao, Simin Liang, Lei Tao, Ming Zhang, Ji Sun, Hongli Gong
{"title":"评估微生物群落在预测喉癌复发中的预后价值:一项多中心病例对照研究。","authors":"Chi-Yao Hsueh, Xiaohui Yuan, Huiying Huang, Yujie Shen, Qiang Huang, Weida Dong, Danhui Li, Hui-Ching Lau, Xinhui Mao, Simin Liang, Lei Tao, Ming Zhang, Ji Sun, Hongli Gong","doi":"10.1038/s41522-025-00789-5","DOIUrl":null,"url":null,"abstract":"<p><p>Laryngeal squamous cell carcinoma (LSCC) presents significant treatment challenges, especially regarding recurrence after larynx-preservation therapy. We identified distinct microbial community structures between recurrence and non-recurrence groups, particularly highlighting the genera abundance of Fusobacterium and Serratia. However, larynx-preserving therapy did not significantly alter microbial diversity in recurrent patients. Survival analysis identified Fusobacterium and Serratia as independent prognostic factors for recurrence, leading to the development of a Serratia-Fusobacterium (SF) prognostic scoring model. The SF model achieved an AUC of 81.37% for predicting recurrence, outperforming the TNM staging system. LSCC patients classified as high-risk by the SF model exhibited significantly shorter disease-free survival (DFS) compared to low-risk patients in the LSCC cohort. Furthermore, the SF model demonstrated an AUC of 78.48% in the multi-center cohort for predicting recurrence. In conclusion, the Serratia-Fusobacterium prognostic scoring model can predict LSCC recurrence after larynx-preserving therapy and provide valuable insights to inform recommendations for LSCC surveillance.</p>","PeriodicalId":19370,"journal":{"name":"npj Biofilms and Microbiomes","volume":"11 1","pages":"159"},"PeriodicalIF":9.2000,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335459/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evaluating the prognostic value of microbial communities in predicting recurrence of laryngeal carcinoma: a multicenter case-control study.\",\"authors\":\"Chi-Yao Hsueh, Xiaohui Yuan, Huiying Huang, Yujie Shen, Qiang Huang, Weida Dong, Danhui Li, Hui-Ching Lau, Xinhui Mao, Simin Liang, Lei Tao, Ming Zhang, Ji Sun, Hongli Gong\",\"doi\":\"10.1038/s41522-025-00789-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Laryngeal squamous cell carcinoma (LSCC) presents significant treatment challenges, especially regarding recurrence after larynx-preservation therapy. We identified distinct microbial community structures between recurrence and non-recurrence groups, particularly highlighting the genera abundance of Fusobacterium and Serratia. However, larynx-preserving therapy did not significantly alter microbial diversity in recurrent patients. Survival analysis identified Fusobacterium and Serratia as independent prognostic factors for recurrence, leading to the development of a Serratia-Fusobacterium (SF) prognostic scoring model. The SF model achieved an AUC of 81.37% for predicting recurrence, outperforming the TNM staging system. LSCC patients classified as high-risk by the SF model exhibited significantly shorter disease-free survival (DFS) compared to low-risk patients in the LSCC cohort. Furthermore, the SF model demonstrated an AUC of 78.48% in the multi-center cohort for predicting recurrence. In conclusion, the Serratia-Fusobacterium prognostic scoring model can predict LSCC recurrence after larynx-preserving therapy and provide valuable insights to inform recommendations for LSCC surveillance.</p>\",\"PeriodicalId\":19370,\"journal\":{\"name\":\"npj Biofilms and Microbiomes\",\"volume\":\"11 1\",\"pages\":\"159\"},\"PeriodicalIF\":9.2000,\"publicationDate\":\"2025-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335459/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj Biofilms and Microbiomes\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1038/s41522-025-00789-5\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Biofilms and Microbiomes","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41522-025-00789-5","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

喉鳞状细胞癌(LSCC)提出了重大的治疗挑战,特别是在喉保存治疗后复发。我们确定了复发组和非复发组之间不同的微生物群落结构,特别突出梭杆菌和沙雷菌属的丰度。然而,喉保留治疗并没有显著改变复发患者的微生物多样性。生存分析发现梭菌和沙雷菌是复发的独立预后因素,导致了沙雷菌-梭菌(SF)预后评分模型的发展。SF模型预测复发的AUC为81.37%,优于TNM分期系统。SF模型分类为高风险的LSCC患者与LSCC队列中的低风险患者相比,无病生存期(DFS)显着缩短。此外,SF模型在多中心队列中预测复发的AUC为78.48%。总之,沙雷特-梭杆菌预后评分模型可以预测喉保留治疗后LSCC的复发,并为LSCC监测建议提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the prognostic value of microbial communities in predicting recurrence of laryngeal carcinoma: a multicenter case-control study.

Laryngeal squamous cell carcinoma (LSCC) presents significant treatment challenges, especially regarding recurrence after larynx-preservation therapy. We identified distinct microbial community structures between recurrence and non-recurrence groups, particularly highlighting the genera abundance of Fusobacterium and Serratia. However, larynx-preserving therapy did not significantly alter microbial diversity in recurrent patients. Survival analysis identified Fusobacterium and Serratia as independent prognostic factors for recurrence, leading to the development of a Serratia-Fusobacterium (SF) prognostic scoring model. The SF model achieved an AUC of 81.37% for predicting recurrence, outperforming the TNM staging system. LSCC patients classified as high-risk by the SF model exhibited significantly shorter disease-free survival (DFS) compared to low-risk patients in the LSCC cohort. Furthermore, the SF model demonstrated an AUC of 78.48% in the multi-center cohort for predicting recurrence. In conclusion, the Serratia-Fusobacterium prognostic scoring model can predict LSCC recurrence after larynx-preserving therapy and provide valuable insights to inform recommendations for LSCC surveillance.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
npj Biofilms and Microbiomes
npj Biofilms and Microbiomes Immunology and Microbiology-Microbiology
CiteScore
12.10
自引率
3.30%
发文量
91
审稿时长
9 weeks
期刊介绍: npj Biofilms and Microbiomes is a comprehensive platform that promotes research on biofilms and microbiomes across various scientific disciplines. The journal facilitates cross-disciplinary discussions to enhance our understanding of the biology, ecology, and communal functions of biofilms, populations, and communities. It also focuses on applications in the medical, environmental, and engineering domains. The scope of the journal encompasses all aspects of the field, ranging from cell-cell communication and single cell interactions to the microbiomes of humans, animals, plants, and natural and built environments. The journal also welcomes research on the virome, phageome, mycome, and fungome. It publishes both applied science and theoretical work. As an open access and interdisciplinary journal, its primary goal is to publish significant scientific advancements in microbial biofilms and microbiomes. The journal enables discussions that span multiple disciplines and contributes to our understanding of the social behavior of microbial biofilm populations and communities, and their impact on life, human health, and the environment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信