Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community
IntroductionThe dysregulation of intestinal microbiota has been implicated in the pathogenesis of colorectal cancer (CRC). However, the utilization of intestinal microbiota for identify the lesions in different procedures in CRC screening populations remains limited.MethodsA total of 529 high-risk i...
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Frontiers Media S.A.
2025-02-01
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| author | Gairui Li Gairui Li Dan Zhao Binfa Ouyang Yinggang Chen Yashuang Zhao |
| author_facet | Gairui Li Gairui Li Dan Zhao Binfa Ouyang Yinggang Chen Yashuang Zhao |
| author_sort | Gairui Li |
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| description | IntroductionThe dysregulation of intestinal microbiota has been implicated in the pathogenesis of colorectal cancer (CRC). However, the utilization of intestinal microbiota for identify the lesions in different procedures in CRC screening populations remains limited.MethodsA total of 529 high-risk individuals who underwent CRC screening were included, comprising 13 advanced adenomas (Aade), 5 CRC, 59 non-advanced adenomas (Nade), 129 colon polyps (Pol), 99 cases of colorectal inflammatory disease (Inf), and 224 normal controls (Nor). 16S rRNA gene sequencing was used to profile the intestinal microbiota communities. The Gut Microbiota Health Index (GMHI) and average variation degree (AVD) were employed to assess the health status of the different groups.ResultsOur findings revealed that the Nor group exhibited significantly higher GMHIs and the lowest AVD compared to the four Lesion groups. The model incorporating 13 bacterial genera demonstrated optimal efficacy in distinguishing CRC and Aade from Nor, with an area under the curve (AUC) of 0.81 and a 95% confidence interval (CI) of 0.72 to 0.89. Specifically, the 55 bacterial genera combination model exhibited superior performance in differentiating CRC from Nor (AUC 0.98; 95% CI, 0.96-1), the 25 bacterial genera combination showed superior performance in distinguishing Aade from Nor (AUC 0.95). Additionally, the 27 bacterial genera combination demonstrated superior efficacy in differentiating Nade from Nor (AUC 0.82). The 13 bacterial genera combination exhibited optimal performance in distinguishing Inf from Nor (AUC 0.71).DiscussionOur study has identified specific microbial biomarkers that can differentiate between colorectal lesions and healthy individuals. The intestinal microbiota markers identified may serve as valuable tools in community-based CRC screening programs. |
| format | Article |
| id | doaj-art-ea867cce0300467191c93da6ccc93ec7 |
| institution | Kabale University |
| issn | 1664-302X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Microbiology |
| spelling | doaj-art-ea867cce0300467191c93da6ccc93ec72025-02-07T17:17:02ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-02-011610.3389/fmicb.2025.15298581529858Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in communityGairui Li0Gairui Li1Dan Zhao2Binfa Ouyang3Yinggang Chen4Yashuang Zhao5Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, ChinaShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, ChinaShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, ChinaShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, ChinaNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, ChinaDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, ChinaIntroductionThe dysregulation of intestinal microbiota has been implicated in the pathogenesis of colorectal cancer (CRC). However, the utilization of intestinal microbiota for identify the lesions in different procedures in CRC screening populations remains limited.MethodsA total of 529 high-risk individuals who underwent CRC screening were included, comprising 13 advanced adenomas (Aade), 5 CRC, 59 non-advanced adenomas (Nade), 129 colon polyps (Pol), 99 cases of colorectal inflammatory disease (Inf), and 224 normal controls (Nor). 16S rRNA gene sequencing was used to profile the intestinal microbiota communities. The Gut Microbiota Health Index (GMHI) and average variation degree (AVD) were employed to assess the health status of the different groups.ResultsOur findings revealed that the Nor group exhibited significantly higher GMHIs and the lowest AVD compared to the four Lesion groups. The model incorporating 13 bacterial genera demonstrated optimal efficacy in distinguishing CRC and Aade from Nor, with an area under the curve (AUC) of 0.81 and a 95% confidence interval (CI) of 0.72 to 0.89. Specifically, the 55 bacterial genera combination model exhibited superior performance in differentiating CRC from Nor (AUC 0.98; 95% CI, 0.96-1), the 25 bacterial genera combination showed superior performance in distinguishing Aade from Nor (AUC 0.95). Additionally, the 27 bacterial genera combination demonstrated superior efficacy in differentiating Nade from Nor (AUC 0.82). The 13 bacterial genera combination exhibited optimal performance in distinguishing Inf from Nor (AUC 0.71).DiscussionOur study has identified specific microbial biomarkers that can differentiate between colorectal lesions and healthy individuals. The intestinal microbiota markers identified may serve as valuable tools in community-based CRC screening programs.https://www.frontiersin.org/articles/10.3389/fmicb.2025.1529858/fullintestinal microbiotacolorectal cancer screeningadenomacolorectal lesions16S rRNA |
| spellingShingle | Gairui Li Gairui Li Dan Zhao Binfa Ouyang Yinggang Chen Yashuang Zhao Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community Frontiers in Microbiology intestinal microbiota colorectal cancer screening adenoma colorectal lesions 16S rRNA |
| title | Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community |
| title_full | Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community |
| title_fullStr | Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community |
| title_full_unstemmed | Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community |
| title_short | Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community |
| title_sort | intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community |
| topic | intestinal microbiota colorectal cancer screening adenoma colorectal lesions 16S rRNA |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2025.1529858/full |
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