Gut microbial subtypes and clinicopathological value for colorectal cancer
Abstract Background Gut bacteria are related to colorectal cancer (CRC) and its clinicopathologic characteristics. Objective To develop gut bacterial subtypes and explore potential microbial targets for CRC. Methods Stool samples from 914 volunteers (376 CRCs, 363 advanced adenomas, and 175 normal c...
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Wiley
2024-09-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.70180 |
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| author | Shuwen Han Jing Zhuang Yifei Song Xinyue Wu Xiaojian Yu Ye Tao Jian Chu Zhanbo Qu Yinhang Wu Shugao Han Xi Yang |
| author_facet | Shuwen Han Jing Zhuang Yifei Song Xinyue Wu Xiaojian Yu Ye Tao Jian Chu Zhanbo Qu Yinhang Wu Shugao Han Xi Yang |
| author_sort | Shuwen Han |
| collection | DOAJ |
| description | Abstract Background Gut bacteria are related to colorectal cancer (CRC) and its clinicopathologic characteristics. Objective To develop gut bacterial subtypes and explore potential microbial targets for CRC. Methods Stool samples from 914 volunteers (376 CRCs, 363 advanced adenomas, and 175 normal controls) were included for 16S rRNA sequencing. Unsupervised learning was used to generate gut microbial subtypes. Gut bacterial community composition and clustering effects were plotted. Differences of gut bacterial abundance were analyzed. Then, the association of CRC‐associated bacteria with subtypes and the association of gut bacteria with clinical information were assessed. The CatBoost models based on gut differential bacteria were constructed to identify the diseases including CRC and advanced adenoma (AA). Results Four gut microbial subtypes (A, B, C, D) were finally obtained via unsupervised learning. The characteristic bacteria of each subtype were Escherichia‐Shigella in subtype A, Streptococcus in subtype B, Blautia in subtype C, and Bacteroides in subtype D. Clinical information (e.g., free fatty acids and total cholesterol) and CRC pathological information (e.g., tumor depth) varied among gut microbial subtypes. Bacilli, Lactobacillales, etc., were positively correlated with subtype B. Positive correlation of Blautia, Lachnospiraceae, etc., with subtype C and negative correlation of Coriobacteriia, Coriobacteriales, etc., with subtype D were found. Finally, the predictive ability of CatBoost models for CRC identification was improved based on gut microbial subtypes. Conclusion Gut microbial subtypes provide characteristic gut bacteria and are expected to contribute to the diagnosis of CRC. |
| format | Article |
| id | doaj-art-7c8c17236938455cbf8ecfbbe48f648d |
| institution | Kabale University |
| issn | 2045-7634 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj-art-7c8c17236938455cbf8ecfbbe48f648d2025-02-07T09:08:08ZengWileyCancer Medicine2045-76342024-09-011317n/an/a10.1002/cam4.70180Gut microbial subtypes and clinicopathological value for colorectal cancerShuwen Han0Jing Zhuang1Yifei Song2Xinyue Wu3Xiaojian Yu4Ye Tao5Jian Chu6Zhanbo Qu7Yinhang Wu8Shugao Han9Xi Yang10Huzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaThe Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou ChinaHuzhou Central Hospital, Affiliated Central Hospital Huzhou University Huzhou ChinaAbstract Background Gut bacteria are related to colorectal cancer (CRC) and its clinicopathologic characteristics. Objective To develop gut bacterial subtypes and explore potential microbial targets for CRC. Methods Stool samples from 914 volunteers (376 CRCs, 363 advanced adenomas, and 175 normal controls) were included for 16S rRNA sequencing. Unsupervised learning was used to generate gut microbial subtypes. Gut bacterial community composition and clustering effects were plotted. Differences of gut bacterial abundance were analyzed. Then, the association of CRC‐associated bacteria with subtypes and the association of gut bacteria with clinical information were assessed. The CatBoost models based on gut differential bacteria were constructed to identify the diseases including CRC and advanced adenoma (AA). Results Four gut microbial subtypes (A, B, C, D) were finally obtained via unsupervised learning. The characteristic bacteria of each subtype were Escherichia‐Shigella in subtype A, Streptococcus in subtype B, Blautia in subtype C, and Bacteroides in subtype D. Clinical information (e.g., free fatty acids and total cholesterol) and CRC pathological information (e.g., tumor depth) varied among gut microbial subtypes. Bacilli, Lactobacillales, etc., were positively correlated with subtype B. Positive correlation of Blautia, Lachnospiraceae, etc., with subtype C and negative correlation of Coriobacteriia, Coriobacteriales, etc., with subtype D were found. Finally, the predictive ability of CatBoost models for CRC identification was improved based on gut microbial subtypes. Conclusion Gut microbial subtypes provide characteristic gut bacteria and are expected to contribute to the diagnosis of CRC.https://doi.org/10.1002/cam4.70180clinicopathological featurescolorectal cancergut bacteriagut microbial subtypesunsupervised clustering |
| spellingShingle | Shuwen Han Jing Zhuang Yifei Song Xinyue Wu Xiaojian Yu Ye Tao Jian Chu Zhanbo Qu Yinhang Wu Shugao Han Xi Yang Gut microbial subtypes and clinicopathological value for colorectal cancer Cancer Medicine clinicopathological features colorectal cancer gut bacteria gut microbial subtypes unsupervised clustering |
| title | Gut microbial subtypes and clinicopathological value for colorectal cancer |
| title_full | Gut microbial subtypes and clinicopathological value for colorectal cancer |
| title_fullStr | Gut microbial subtypes and clinicopathological value for colorectal cancer |
| title_full_unstemmed | Gut microbial subtypes and clinicopathological value for colorectal cancer |
| title_short | Gut microbial subtypes and clinicopathological value for colorectal cancer |
| title_sort | gut microbial subtypes and clinicopathological value for colorectal cancer |
| topic | clinicopathological features colorectal cancer gut bacteria gut microbial subtypes unsupervised clustering |
| url | https://doi.org/10.1002/cam4.70180 |
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