Environmental Factors, Gut Microbiota, and Colorectal Cancer Prevention
Open accessAbstract
The substantial burden of colorectal cancer and increasing trend in young adults highlight the importance of lifestyle modification as a complement to screening for colorectal cancer prevention. Several dietary and lifestyle factors have been implicated in the development of colorectal cancer, possibly through the intricate metabolic and inflammatory mechanisms. Likewise, as a key metabolic and immune regulator, the gut microbiota has been recognized to play an important role in colorectal tumorigenesis. Increasing data support that environmental factors are crucial determinants for the gut microbial composition and function, whose alterations induce changes in the host gene expression, metabolic regulation, and local and systemic immune response, thereby influencing cancer development. Here, we review the epidemiologic and mechanistic evidence regarding the links between diet and lifestyle and the gut microbiota in the development of colorectal cancer. We focus on factors for which substantial data support their importance for colorectal cancer and their potential role in the gut microbiota, including overweight and obesity, physical activity, dietary patterns, fiber, red and processed meat, marine omega-3 fatty acid, alcohol, and smoking. We also briefly describe other colorectal cancer-preventive factors for which the links with the gut microbiota have been suggested but remain to be mechanistically characterized, including vitamin D status, dairy consumption, and metformin use. Given limitations in available evidence, we highlight the need for further investigations in the relationship between environmental factors, gut microbiota, and colorectal cancer, which may lead to development and clinical translation of potential microbiota-based strategies for cancer prevention.
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Increasing data indicate that changes in the intestinal microbiome allow environmental risk factors to initiate and promote colorectal cancer.
“Increasing data indicate that changes in the intestinal microbiome allow environmental risk factors to initiate and promote CRC.6, 7”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [6]
Associations have been found between components of the intestinal microbiome and colorectal cancer risk.
“Researchers have discovered associations between elements of the intestinal microbiome (including specific microbes, signaling pathways, and microbiota-related metabolites) and risk of colorectal cancer (CRC).”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [6]
The anti-colorectal cancer effects of fiber could be related to its effects on the gut microbiota.
“The anti-CRC effects of fiber could be related to its effects on the gut microbiota.6”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [6]
Fiber is fermented by bacteria to produce short-chain fatty acids, which regulate the immune system and metabolism and reduce colorectal cancer risk.
“Fiber is fermented by bacteria to produce SCFAs, which regulate the immune system and metabolism and reduce risk of CRC.6, 88, 94, 123–125”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [6]
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Cited by
Sorted by citations
Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer
Song, M., Chan, A. T., & Sun, J. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.06.048 · Cited by 752 · see citing works
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Colorectal Cancer Screening in a Changing World
Bresalier, R. S. (2022) · Gastroenterology Clinics of North America · doi:10.1016/j.gtc.2022.05.002 · Cited by 29 · see citing works
Cai, J.-A., Zhang, Y.-Z., Yu, E.-D., Ding, W.-Q., Jiang, Q.-W., Cai, Q.-C., & Zhong, L. (2023) · Nutrients · doi:10.3390/nu15132940 · Cited by 9 · see citing works
- Authors
- Song, M., & Chan, A. T.
- Affiliations
- Harvard University (US)
- Broad Institute (US)
- Corresponding author
- Song, Mingyang
- Venue
- Clinical Gastroenterology and Hepatology
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 17
- Issue
- 2
- Pages
- 275-289
- ISSN
- 1542-3565 (ISSN-L)
- PMC
- PMC6314893
- OpenAlex
- W2882993821
- Cited by
- 355
- References
- 135
- Citations by year
- 2026: 26 · 2025: 52 · 2024: 74 · 2023: 60 · 2022: 61 · 2021: 42 · 2020: 22 · 2019: 17 · 2018: 1
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Gastroenterology and Hepatology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- American Cancer Society (MRSG-17-220-01)
- AACR-AstraZeneca Fellowship in Immuno-oncology Research
- National Institutes of Health (K99 CA215314, R00 CA215314, K24 DK098311, R01 CA137178, R01 CA202704, R01 CA176726)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Keywords
- colorectal cancer prevention, gut microbiota, environmental factors, lifestyle modification, diet, obesity, physical activity, dietary fiber, red and processed meat, omega-3 fatty acids, alcohol, smoking, vitamin D, dairy consumption, metformin, colorectal carcinogenesis, inflammation
- MeSH terms
- Gastrointestinal Microbiome, Host Microbial Interactions, Diet, Environmental Exposure, Humans, Life Style, Colorectal Neoplasms, Carcinogenesis, Microbiota, Dysbiosis
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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