Gut microbiome mediates the associations between lifestyle factors and risk of colorectal high-risk adenoma: results from a population-based cohort study
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI Uniform resource identifier for web resources.
Authors
Song K., Luo J., Zhang Y., Wu D., Chen H., Dai M.
Journal
mSystems
Year
2025
Keywords:
colorectum, gut microbiota, lifestyle, mediation, precancerous lesions
Lifestyle factors exert influence on the risk of colorectal cancer (CRC) and its precursors. However, the interaction between gut microbiota and lifestyle factors concerning colorectal high-risk adenomas (HRAs), as well as the specific microbial taxa implicated, remains underexplored. Here, we aimed to investigate the impact of common lifestyle factors on HRAs and to explore the potential mediating roles of gut microbiota in these effects. A total of 3,827 participants were enrolled from our multicenter CRC screening cohort. Lifestyle factors over the 12 months preceding enrollment were assessed via questionnaires. Fecal samples were collected upon enrollment and analyzed using 16S rRNA sequencing. Multivariate analyses were used to identify lifestyle-related risk factors for HRA, followed by the application of the multivariate association with linear models (MaAsLin2) to explore associations between microbiota and lifestyle risk factors, with causal mediation analysis employed to evaluate the gut microbiota's mediating effect between lifestyle factors and HRA risk. A total of 272 patients with HRA and 1,253 controls were included. Independent risk factors for HRA were identified as high body mass index, number of pack-years smoked >30, alcohol consumption >4 units/week. These lifestyle factors were significantly associated with the relative abundance of various microbial genera. Notably, genus Fusobacterium and Tyzzerella 4 were found to partially mediate the increased risk of HRA due to alcohol and cigarette consumption, respectively. These findings provide new insights for microbiota-targeted interventions or lifestyle-based prevention strategies to reduce the risk of CRC, offering a novel and actionable approach to early prevention.IMPORTANCELifestyle choices, such as diet, smoking, and alcohol consumption, are known to influence colorectal cancer risk, but the role of gut bacteria in mediating this process remains underestimated. To address this gap, our study aimed to explore the connections between lifestyle factors, gut microbes, and colorectal precancerous growths, referred to as high-risk adenomas (HRAs). We observed a dual association whereby obesity, heavy smoking, and excessive alcohol consumption were linked to both an increased risk of HRAs and distinct changes in gut bacteria. Importantly, smoking and alcohol consumption are associated with increased cancer risk, in part, through certain bacteria such as genus Fusobacterium and Tyzzerella 4. These findings reveal how gut microbes may act as a hidden bridge between lifestyle and disease development. Our discovery of these microbial mediators reveals novel opportunities for HRA prevention through lifestyle modifications or probiotic interventions targeting this carcinogenic pathway prior to malignant transformation.CLINICAL TRIALSThis study is registered with the Chinese Clinical Trial Registry as ChiCTR1800015506.
Experiment 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Colorectal cancer cancer of colorectum,cancer of large bowel,cancer of large intestine,cancer of the large bowel,colon cancer,colorectal cancer,colorectum cancer,CRC,large intestine cancer,malignant colorectal neoplasm,malignant colorectal tumor,malignant colorectum neoplasm,malignant large bowel neoplasm,malignant large bowel tumor,malignant large intestine neoplasm,malignant large intestine tumor,malignant neoplasm of colorectum,malignant neoplasm of large bowel,malignant neoplasm of large intestine,malignant neoplasm of the large bowel,malignant neoplasm of the large intestine,malignant tumor of large bowel,malignant tumor of large intestine,malignant tumor of the large bowel,malignant tumor of the large intestine,Colorectal cancer
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Control group
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High-risk adenomas
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Patients who have colorectal cancer with high-risk adenomas
- Group 0 sample size Number of subjects in the control (unexposed) group
- 1253
- Group 1 sample size Number of subjects in the case (exposed) group
- 272
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V4
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- log transformation
- Statistical test
- MaAsLin2
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.05
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- Yes
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, alcohol consumption measurement, family history of cancer, polyp, smoking behavior, Confounders controlled for: "NSAIDs use" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.NSAIDs use, Confounders controlled for: "disease status" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.disease status, Confounders controlled for: "recruitment region of participants" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.recruitment region of participants, sex
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 3A
Description: Analysis of the differential microbiota between high-risk adenomas (HRA) and control group
Abundance in Group 1: increased abundance in High-risk adenomas
| NCBI | Quality Control | Links |
|---|---|---|
| Fusobacterium | ||
| Gemella | ||
| Tyzzerella 4Tyzzerella 4 |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 3A
Description: Analysis of the differential microbiota between high-risk adenomas (HRA) and control group
Abundance in Group 1: decreased abundance in High-risk adenomas
| NCBI | Quality Control | Links |
|---|---|---|
| Pediococcus | ||
| Proteus | ||
| Pseudomonas | ||
| Staphylococcus | ||
| Lachnospiraceae UCG 004Lachnospiraceae UCG 004 | ||
| Lachnospiraceae UCG 003Lachnospiraceae UCG 003 |
Revision editor(s): Temmie
Experiment 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Alcohol consumption measurement Alcohol consumption measurement,alcohol consumption measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Low Alcohol Consumption
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High Alcohol Consumption
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Participants with high levels of alcohol consumption
- Group 0 sample size Number of subjects in the control (unexposed) group
- Not specified
- Group 1 sample size Number of subjects in the case (exposed) group
- Not specified
Lab analysis
Statistical Analysis
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, body mass index, family history of cancer, polyp, Confounders controlled for: "NSAID use" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.NSAID use, Confounders controlled for: "disease status" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.disease status, Confounders controlled for: "recruitment region of participants" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.recruitment region of participants, sex
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2A
Description: Association between the gut genera and the lifestyle factor (alcohol consumption) in the Chinese Cohort
Abundance in Group 1: increased abundance in High Alcohol Consumption
| NCBI | Quality Control | Links |
|---|---|---|
| Fusobacterium | ||
| Holdemanella | ||
| Megamonas | ||
| Negativibacillus | ||
| Slackia | ||
| Prevotella 9Prevotella 9 | ||
| Tyzzerella 3Tyzzerella 3 | ||
| Clostridium |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2A
Description: Association between the gut genera and the lifestyle factor (alcohol consumption) in the Chinese Cohort
Abundance in Group 1: decreased abundance in High Alcohol Consumption
Revision editor(s): Temmie
Experiment 3
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Body mass index BMI,Quetelet's Index,Body mass index,body mass index
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Low Body mass index
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High Body mass index
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Participants with high body mass index
Lab analysis
Statistical Analysis
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, body mass index, family history of cancer, polyp, sex, Confounders controlled for: "NSAID use" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.NSAID use, Confounders controlled for: "disease status" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.disease status, Confounders controlled for: "recruitment region of participants" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.recruitment region of participants
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2A
Description: Association between gut genera and lifestyle risk factor (body mass index) in the Chinese cohort
Abundance in Group 1: increased abundance in High Body mass index
| NCBI | Quality Control | Links |
|---|---|---|
| Allisonella | ||
| Megamonas | ||
| Agathobacter | ||
| Collinsella | ||
| Weissella | ||
| Tyzzerella 3Tyzzerella 3 |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2A
Description: Association between gut genera and lifestyle risk factor (body mass index) in the Chinese cohort
Abundance in Group 1: decreased abundance in High Body mass index
Revision editor(s): Temmie
Experiment 4
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Smoking status measurement Smoking status measurement,smoking status measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Low Cigarette consumption
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High Cigarette consumption
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Participants with a high level of cigarette consumption
Lab analysis
Statistical Analysis
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, alcohol consumption measurement, family history of cancer, polyp, smoking behavior, Confounders controlled for: "NSAIDs use" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.NSAIDs use, Confounders controlled for: "disease status" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.disease status, Confounders controlled for: "recruitment region of participants" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.recruitment region of participants, sex
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2A
Description: Association between gut genera and lifestyle risk factor (CIGARETTE CONSUMPTION) in the Chinese cohort
Abundance in Group 1: increased abundance in High Cigarette consumption
| NCBI | Quality Control | Links |
|---|---|---|
| Actinomyces | ||
| Bilophila | ||
| Mediterraneibacter gnavus |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2A
Description: Association between gut genera and lifestyle risk factor (CIGARETTE CONSUMPTION) in the Chinese cohort
Abundance in Group 1: decreased abundance in High Cigarette consumption
| NCBI | Quality Control | Links |
|---|---|---|
| Haemophilus | ||
| Lachnospiraceae UCG 003Lachnospiraceae UCG 003 |
Revision editor(s): Temmie
Experiment 5
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Alcohol consumption measurement Alcohol consumption measurement,alcohol consumption measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Low Alcohol Consumption (Japanese cohort)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High Alcohol Consumption (Japanese cohort)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Participants with high levels of alcohol consumption in the Japanese cohort
Lab analysis
Statistical Analysis
- Matched on Factors on which subjects have been matched on in a case-control study
- age, body mass index, sex
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, alcohol consumption measurement, body mass index, sex, Confounders controlled for: "disease status" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.disease status, Confounders controlled for: "Brinkman index of smoking" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.Brinkman index of smoking
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2B
Description: Association between gut genera and lifestyle risk factor (ALCOHOL CONSUMPTION) in the EXTERNAL Japanese cohort
Abundance in Group 1: increased abundance in High Alcohol Consumption (Japanese cohort)
| NCBI | Quality Control | Links |
|---|---|---|
| Allisonella | ||
| Megamonas | ||
| Megasphaera | ||
| Paratractidigestivibacter | ||
| Fusobacterium | ||
| Intestinibacillus |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2B
Description: Association between gut genera and lifestyle risk factor (ALCOHOL CONSUMPTION) in the external Japanese cohort
Abundance in Group 1: decreased abundance in High Alcohol Consumption (Japanese cohort)
| NCBI | Quality Control | Links |
|---|---|---|
| Dialister | ||
| Faecalibacterium | ||
| Bifidobacterium |
Revision editor(s): Temmie
Experiment 6
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Body mass index BMI,Quetelet's Index,Body mass index,body mass index
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Low Body mass index (Japanese cohort)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High Body mass index (Japanese cohort)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Participants with high body mass index in the Japanese cohort
Lab analysis
Statistical Analysis
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, body mass index, Confounders controlled for: "disease status" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.disease status, Confounders controlled for: "Brinkman index of smoking" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.Brinkman index of smoking, sex, alcohol consumption measurement
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2B
Description: Association between gut genera and lifestyle risk factor (BODY MASS INDEX) in the EXTERNAL Japanese cohort.
Abundance in Group 1: increased abundance in High Body mass index (Japanese cohort)
| NCBI | Quality Control | Links |
|---|---|---|
| Acidaminococcus | ||
| Allisonella | ||
| Fusobacterium | ||
| unclassified Clostridium | ||
| Granulicatella |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2B
Description: Association between gut genera and lifestyle risk factor (BODY MASS INDEX) based on an EXTERNAL Japanese cohort
Abundance in Group 1: decreased abundance in High Body mass index (Japanese cohort)
Revision editor(s): Temmie
Experiment 7
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Smoking status measurement Smoking status measurement,smoking status measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- High Cigarette consumption (Japanese cohort)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Low Cigarette consumption (Japanese cohort)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Participants with high levels of cigarette consumption in the Japanese Cohort
Lab analysis
Statistical Analysis
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2B
Description: Association between gut genera and lifestyle risk factor (CIGARETTE CONSUMPTION) in the EXTERNAL Japanese c\ohort
Abundance in Group 1: increased abundance in Low Cigarette consumption (Japanese cohort)
| NCBI | Quality Control | Links |
|---|---|---|
| Brachyspira | ||
| Solibaculum | ||
| unclassified Erysipelotrichaceae |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 2B
Description: Association between gut genera and lifestyle risk factor (CIGARETTE CONSUMPTION) in the EXTERNAL Japanese cohort
Abundance in Group 1: decreased abundance in Low Cigarette consumption (Japanese cohort)
| NCBI | Quality Control | Links |
|---|---|---|
| Fusobacterium | ||
| Lacrimispora | ||
| Merdimmobilis |
Revision editor(s): Temmie
Experiment 8
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Differences from previous experiment shown
Subjects
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Colorectal cancer cancer of colorectum,cancer of large bowel,cancer of large intestine,cancer of the large bowel,colon cancer,colorectal cancer,colorectum cancer,CRC,large intestine cancer,malignant colorectal neoplasm,malignant colorectal tumor,malignant colorectum neoplasm,malignant large bowel neoplasm,malignant large bowel tumor,malignant large intestine neoplasm,malignant large intestine tumor,malignant neoplasm of colorectum,malignant neoplasm of large bowel,malignant neoplasm of large intestine,malignant neoplasm of the large bowel,malignant neoplasm of the large intestine,malignant tumor of large bowel,malignant tumor of large intestine,malignant tumor of the large bowel,malignant tumor of the large intestine,Colorectal cancer
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Control group
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- High-risk adenomas
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Patients who have high-risk adenomas
- Group 0 sample size Number of subjects in the control (unexposed) group
- 1253
- Group 1 sample size Number of subjects in the case (exposed) group
- 272
Lab analysis
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- Statistical test
- LEfSe
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- No
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 2
- Matched on Factors on which subjects have been matched on in a case-control study
- Not specified
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- Not specified
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 3B
Description: LefSe analysis of the differences in genera in the high-risk adenoma group and control group
Abundance in Group 1: increased abundance in High-risk adenomas
| NCBI | Quality Control | Links |
|---|---|---|
| Actinomyces | ||
| Fusobacterium | ||
| Gemella | ||
| Phascolarctobacterium | ||
| Terrisporobacter | ||
| Tyzzerella 4Tyzzerella 4 | ||
| Ruminococcaceae UCG-004Ruminococcaceae UCG-004 |
Revision editor(s): Temmie
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2025-10-21
Source: Figure 3B
Description: LefSe analysis of the differences in genera between the high-risk adenoma group and the control group
Abundance in Group 1: decreased abundance in High-risk adenomas
| NCBI | Quality Control | Links |
|---|---|---|
| Dialister | ||
| Faecalibacterium | ||
| Lachnospira | ||
| Oscillibacter | ||
| Parasutterella | ||
| Lachnospiraceae UCG-004Lachnospiraceae UCG-004 | ||
| Ruminococcaceae UCG-003Ruminococcaceae UCG-003 | ||
| Prevotellaceae |
Revision editor(s): Temmie
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