Fecal occult blood affects intestinal microbial community structure in colorectal cancer
Abstract Background Gut microbes have been used to predict CRC risk. Fecal occult blood test (FOBT) has been recommended for population screening of CRC. Objective To analyze the effects of fecal occult blood test (FOBT) on gut microbes. Methods Fecal samples from 107 healthy individuals (FOBT-negat...
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BMC
2025-01-01
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| Series: | BMC Microbiology |
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| Online Access: | https://doi.org/10.1186/s12866-024-03721-7 |
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| author | Wu Guodong Wu Yinhang Wu Xinyue Shen Hong Chu Jian Qu Zhanbo Han Shuwen |
| author_facet | Wu Guodong Wu Yinhang Wu Xinyue Shen Hong Chu Jian Qu Zhanbo Han Shuwen |
| author_sort | Wu Guodong |
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| description | Abstract Background Gut microbes have been used to predict CRC risk. Fecal occult blood test (FOBT) has been recommended for population screening of CRC. Objective To analyze the effects of fecal occult blood test (FOBT) on gut microbes. Methods Fecal samples from 107 healthy individuals (FOBT-negative) and 111 CRC patients (39 FOBT-negative and 72 FOBT-positive) were included for 16 S ribosomal RNA sequencing. Based on the results of different FOBT, the community structure and diversity of intestinal bacteria in healthy individuals and CRC patients were analyzed. Characteristic gut bacteria were screened, and various machine learning algorithms were applied to construct CRC risk prediction models. Results The gut microbiota of healthy people and CRC patients with different fecal occult blood were mapped. There was no statistical difference in diversity between CRC patients with negative FOBT and positive FOBT. Bacteroides, Blautia and Escherichia-Shigella were more correlated to healthy individuals, while Streptococcus showed higher correlation with CRC patients with negative FOBT. The accuracy of CRC risk prediction model based on the support vector machines (SVM) algorithm was the highest (89.71%). Subsequently, FOBT was included as a characteristic element in the model construction, and the prediction accuracy of the model was all increased. Similarly, the CRC risk prediction model based on SVM algorithm had the highest accuracy (92%). Conclusion FOB affects the community composition of gut microbes. When predicting CRC risk based on gut microbiome, considering the influence of FOBT is expected to improve the accuracy of CRC risk prediction. |
| format | Article |
| id | doaj-art-2106ddf99ccc4621aba5f48cf91947a6 |
| institution | Kabale University |
| issn | 1471-2180 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
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| series | BMC Microbiology |
| spelling | doaj-art-2106ddf99ccc4621aba5f48cf91947a62025-01-26T12:18:01ZengBMCBMC Microbiology1471-21802025-01-0125111610.1186/s12866-024-03721-7Fecal occult blood affects intestinal microbial community structure in colorectal cancerWu Guodong0Wu Yinhang1Wu Xinyue2Shen Hong3Chu Jian4Qu Zhanbo5Han Shuwen6Huzhou Central Hospital, Affiliated Central Hospital Huzhou UniversityHuzhou Central Hospital, Affiliated Central Hospital Huzhou UniversityHuzhou Central Hospital, Affiliated Central Hospital Huzhou UniversityHuzhou Central Hospital, Affiliated Central Hospital Huzhou UniversityHuzhou Central Hospital, Affiliated Central Hospital Huzhou UniversityHuzhou Central Hospital, Affiliated Central Hospital Huzhou UniversityHuzhou Central Hospital, Affiliated Central Hospital Huzhou UniversityAbstract Background Gut microbes have been used to predict CRC risk. Fecal occult blood test (FOBT) has been recommended for population screening of CRC. Objective To analyze the effects of fecal occult blood test (FOBT) on gut microbes. Methods Fecal samples from 107 healthy individuals (FOBT-negative) and 111 CRC patients (39 FOBT-negative and 72 FOBT-positive) were included for 16 S ribosomal RNA sequencing. Based on the results of different FOBT, the community structure and diversity of intestinal bacteria in healthy individuals and CRC patients were analyzed. Characteristic gut bacteria were screened, and various machine learning algorithms were applied to construct CRC risk prediction models. Results The gut microbiota of healthy people and CRC patients with different fecal occult blood were mapped. There was no statistical difference in diversity between CRC patients with negative FOBT and positive FOBT. Bacteroides, Blautia and Escherichia-Shigella were more correlated to healthy individuals, while Streptococcus showed higher correlation with CRC patients with negative FOBT. The accuracy of CRC risk prediction model based on the support vector machines (SVM) algorithm was the highest (89.71%). Subsequently, FOBT was included as a characteristic element in the model construction, and the prediction accuracy of the model was all increased. Similarly, the CRC risk prediction model based on SVM algorithm had the highest accuracy (92%). Conclusion FOB affects the community composition of gut microbes. When predicting CRC risk based on gut microbiome, considering the influence of FOBT is expected to improve the accuracy of CRC risk prediction.https://doi.org/10.1186/s12866-024-03721-7Colorectal cancerGut microbesFecal occult blood test16S ribosomal RNA sequencingArtificial intelligenceRisk prediction |
| spellingShingle | Wu Guodong Wu Yinhang Wu Xinyue Shen Hong Chu Jian Qu Zhanbo Han Shuwen Fecal occult blood affects intestinal microbial community structure in colorectal cancer BMC Microbiology Colorectal cancer Gut microbes Fecal occult blood test 16S ribosomal RNA sequencing Artificial intelligence Risk prediction |
| title | Fecal occult blood affects intestinal microbial community structure in colorectal cancer |
| title_full | Fecal occult blood affects intestinal microbial community structure in colorectal cancer |
| title_fullStr | Fecal occult blood affects intestinal microbial community structure in colorectal cancer |
| title_full_unstemmed | Fecal occult blood affects intestinal microbial community structure in colorectal cancer |
| title_short | Fecal occult blood affects intestinal microbial community structure in colorectal cancer |
| title_sort | fecal occult blood affects intestinal microbial community structure in colorectal cancer |
| topic | Colorectal cancer Gut microbes Fecal occult blood test 16S ribosomal RNA sequencing Artificial intelligence Risk prediction |
| url | https://doi.org/10.1186/s12866-024-03721-7 |
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