The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
Association of Dietary Patterns With Risk of Colorectal Cancer Subtypes Classified by Fusobacterium nucleatum in Tumor Tissue
Open accessAbstract
IMPORTANCE: Fusobacterium nucleatum appears to play a role in colorectal carcinogenesis through suppression of the hosts' immune response to tumor. Evidence also suggests that diet influences intestinal F nucleatum. However, the role of F nucleatum in mediating the relationship between diet and the risk of colorectal cancer is unknown. OBJECTIVE: To test the hypothesis that the associations of prudent diets (rich in whole grains and dietary fiber) and Western diets (rich in red and processed meat, refined grains, and desserts) with colorectal cancer risk may differ according to the presence of F nucleatum in tumor tissue. DESIGN, SETTING, AND PARTICIPANTS: A prospective cohort study was conducted using data from the Nurses' Health Study (June 1, 1980, to June 1, 2012) and the Health Professionals Follow-up Study (June 1, 1986, to June 1, 2012) on a total of 121 700 US female nurses and 51 529 US male health professionals aged 30 to 55 years and 40 to 75 years, respectively (both predominantly white individuals), at enrollment. Data analysis was performed from March 15, 2015, to August 10, 2016. EXPOSURES: Prudent and Western diets. MAIN OUTCOMES AND MEASURES: Incidence of colorectal carcinoma subclassified by F nucleatum status in tumor tissue, determined by quantitative polymerase chain reaction. RESULTS: Of the 173 229 individuals considered for the study, 137 217 were included in the analysis, 47 449 were male (34.6%), and mean (SD) baseline age for men was 54.0 (9.8) years and for women, 46.3 (7.2) years. A total of 1019 incident colon and rectal cancer cases with available F nucleatum data were documented over 26 to 32 years of follow-up, encompassing 3 643 562 person-years. The association of prudent diet with colorectal cancer significantly differed by tissue F nucleatum status (P = .01 for heterogeneity); prudent diet score was associated with a lower risk of F nucleatum-positive cancers (P = .003 for trend; multivariable hazard ratio of 0.43; 95% CI, 0.25-0.72, for the highest vs the lowest prudent score quartile) but not with F nucleatum-negative cancers (P = .47 for trend, the corresponding multivariable hazard ratio of 0.95; 95% CI, 0.77-1.17). There was no significant heterogeneity between the subgroups in relation to Western dietary pattern scores. CONCLUSIONS AND RELEVANCE: Prudent diets rich in whole grains and dietary fiber are associated with a lower risk for F nucleatum-positive colorectal cancer but not F nucleatum-negative cancer, supporting a potential role for intestinal microbiota in mediating the association between diet and colorectal neoplasms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A large prospective study found that the association of dietary fiber with reduced risk of CRC had a larger effect on tumors with detectable F nucleatum than those without F nucleatum.140”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [140]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Linking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513
The Microbial Metabolites, Short-Chain Fatty Acids, Regulate Colonic T reg Cell Homeostasis
Smith, P. M., Howitt, M. R., Panikov, N., Michaud, M., Gallini, C. A., Bohlooly-Y, M., Glickman, J. N., & Garrett, W. S. (2013) · Science · doi:10.1126/science.1241165 · Cited by 5,413
Self-citationRichness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis
Koeth, R. A., Wang, Z., Levison, B. S., Buffa, J. A., Org, E., Sheehy, B. T., Britt, E. B., Fu, X., Wu, Y., Li, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3145 · Cited by 4,386
Gut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314
Rubinstein, M. R., Wang, X., Liu, W., Hao, Y., Cai, G., & Han, Y. W. (2013) · Cell Host & Microbe · doi:10.1016/j.chom.2013.07.012 · Cited by 2,476
Rimm, E. B., Giovannucci, E. L., Stampfer, M. J., Colditz, G. A., Litin, L. B., & Willett, W. C. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116211 · Cited by 2,104
Self-citationFusobacterium nucleatum infection is prevalent in human colorectal carcinoma
Castellarin, M., Warren, R. L., Freeman, J. D., Dreolini, L., Krzywinski, M., Strauss, J., Barnes, R., Watson, P., Allen-Vercoe, E., Moore, R. A., et al. (2012) · Genome Research · doi:10.1101/gr.126516.111 · Cited by 2,043
Genomic analysis identifies association of Fusobacterium with colorectal carcinoma
Kostic, A. D., Gevers, D., Pedamallu, C. S., Michaud, M., Duke, F., Earl, A. M., Ojesina, A. I., Jung, J., Bass, A. J., Tabernero, J., et al. (2012) · Genome Research · doi:10.1101/gr.126573.111 · Cited by 1,960
Self-citationDietary intervention impact on gut microbial gene richness
Cotillard, A., Kennedy, S. P., Kong, L. C., Prifti, E., Pons, N., Le Chatelier, E., Almeida, M., Quinquis, B., Levenez, F., Galleron, N., et al. (2013) · Nature · doi:10.1038/nature12480 · Cited by 1,832
Cited by
Sorted by citations
Items 301–324 of 324
Kalkbrenner, A. E., Zheng, C., Yu, J. D., Jenson, T. E., Kuhlwein, T., Ladd‐Acosta, C., Grove, J., & Schendel, D. (2023) · medRxiv · doi:10.1101/2023.08.20.23294335
Park, W., Bang, Y. H., Choi, J. H., Park, K., Lim, J., Lee, B., Han, K. Y., Pyo, D. H., Cho, Y. B., Kim, T., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3375190/v1
How the Microbiome Affects the Risk for Colon Cancer
Drewes, J. L., & Bhatt, A. P. (2023) · Springer eBooks · doi:10.1007/978-3-031-46712-7_7
Inferring Food Preferences and Dietary Structures of the Americans with Transfer Learning
Chen, Y., Jiang, L., & Tan, Z. W. (2024) · Artificial intelligence · doi:10.5772/intechopen.114931
Dietary Pattern Linking to Intestinal Microbial Characteristics and Colorectal Cancer Risk
Sun, J. (2024) · Gastroenterology · doi:10.1053/j.gastro.2024.08.012
Microbiome and colorectal cancer drug resistance
Miya, T. V., Belancio, V. P., & Dlamini, Z. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-33475-7.00016-0
Artale, S., Filiali, F., Beretta, E., Arosio, F., Cazzaniga, F., Tersalvi, C., Sofia, M., Tagliabue, P. F., Pozzi, P., Colombo, A., et al. (2025) · JMIR Research Protocols · doi:10.2196/72950
Acid-Resistant Oral Microbiome on Oral Cancer Development—Reply
Barber, B. R., & Harris, H. R. (2025) · JAMA Otolaryngology–Head & Neck Surgery · doi:10.1001/jamaoto.2025.3047
Decoding the Influence of Gut Microbial Enzymes on Drug Metabolism: Insights and Strategies
Palanisamy, H., & Vidyalakshmi, S. (2025) · Biology Bulletin Reviews · doi:10.1134/s2079086425600419
Hill, C. M., Malen, R. C., Reedy, A. M., Kahsai, O. J., Curtis, K. R., Ma, N., Randolph, T. W., Ma, J., Thomas, C. E., Ogino, S., et al. (2026) · Cancer Causes & Control · doi:10.1007/s10552-026-02133-4 · Cited by 1
Self-citationRole of the gut microbiome in the development of colorectal cancer
Shanbhag, A. P. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40483-2.00040-6
Useche, M., Gomez-Castillo, L., Cushing‐Haugen, K. L., Ferrandino, R. M., Futran, N. D., Marchiano, E. J., Rodriguez, C. P., Harris, H. R., & Barber, B. R. (2026) · Head & Neck · doi:10.1002/hed.70317
Sobti, R. C., Negi, R. K., & Rana, A. (2026) · Springer eBooks · doi:10.1007/978-981-95-9031-5_1
Site‐ and age‐dependent associations between Fusobacterium nucleatum and colorectal cancer mortality
Lorona, N. C., LaBrie, S. D., Thomas, C. E., Yin, H., Huyghe, J. R., Qu, C., Thomas, S., Nayemi, S., Ammar, H., Kahsai, O. J., et al. (2026) · Cancer · doi:10.1002/cncr.70484
Gut microbiota as a drug discovery target: Mechanistic insights and therapeutic potential
Mondal, S., Chowdhury, S., Kar, K., Mazumder, K., & Chakraborty, P. (2026) · Gut Microbiome and Health · doi:10.1016/j.gmh.2026.100002
The Gut–Nutrient–Genome Axis: A Host-Integrated Perspective on Genomic Instability in Cancer
Owen, R. H., & Ravindran, S. (2026) · Onco · doi:10.3390/onco6030032
Aging and the Microbiome: precondition for gastrointestinal carcinogenesis
Wizenty, J., & Sigal, M. (2026) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2026.102122
Fusobacterium nucleatum in cancer: prognostic relevance and clinical implications
Lehr, K., Thon, C., & Link, A. (2026) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2026.102124
Xingyong, F., Long, J., & Wang, W. (2026) · Medicine · doi:10.1097/md.0000000000049915
Nutrition as Modulator of Oxidative Stress in Cancer Prevention and Treatment
Vallorani, L., Balashova, T., Cremon, C., Vivarelli, F., Canistro, D., Morosini, C., Paolini, M., & Rossi, A. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27157047
Host–Microbe Mechanisms of Fusobacterium nucleatum in Colorectal Cancer
Leite, H. L. A., & Lopes, F. F. (2026) · Molecular Oral Microbiology · doi:10.1111/omi.70038
ZHANG, Y.-F., Ran, X. U. E., & Lin, S. H. E. N. (2026) · Shengming kexue · doi:10.3724/cbls.2026124
Dietary exposures, microbial ecology and carcinogenesis: An integrated review
Kang, X., Soh, W. S., & Wong, S. H. (2026) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2026.102155
Metadata
- Authors
- Mehta, R. S., Nishihara, R., Cao, Y., Song, M., Mima, K., Qian, Z. R., Nowak, J. A., Kosumi, K., Hamada, T., Masugi, Y., Bullman, S., Drew, D. A., Kostic, A. D., Fung, T. T., Garrett, W. S., Huttenhower, C., Wu, K., Meyerhardt, J. A., Zhang, X., Willett, W. C., Giovannucci, E. L., Fuchs, C. S., Chan, A. T., & Ogino, S.
- Affiliations
- Harvard University (US)
- Broad Institute (US)
- Brigham and Women's Hospital (US)
- Simmons University (US)
- Corresponding author
- Ogino, Shuji
- ORCID
- Nishihara, Reiko
- Cao, Yin
- Song, Mingyang
- Mima, Kosuke
- Qian, Zhi Rong
- Nowak, Jonathan A.
- Kosumi, Keisuke
- Hamada, Tsuyoshi
- Masugi, Yohei
- Bullman, Susan
- Drew, David A.
- Kostic, Aleksandar D.
- Fung, Teresa T.
- Garrett, Wendy S.
- Huttenhower, Curtis
- Wu, Kana
- Meyerhardt, Jeffrey A.
- Zhang, Xuehong
- Willett, Walter C.
- Giovannucci, Edward L.
- Fuchs, Charles S.
- Chan, Andrew T.
- Ogino, Shuji
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2017-07-01
- Volume
- 3
- Issue
- 7
- Pages
- 921
- ISSN
- 2374-2437 (ISSN-L)
- PMC
- PMC5502000
- OpenAlex
- W2584619074
- Cited by
- 325
- References
- 51
- Citations by year
- 2026: 20 · 2025: 34 · 2024: 28 · 2023: 28 · 2022: 43 · 2021: 44 · 2020: 39 · 2019: 33 · 2018: 42 · 2017: 12
- FWCI
- 32.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Oncology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Entertainment Industry Foundation
- Gary Bennett Family Fund
- National Institutes of Health (CA-167552, CA 87969, CA55075, UL1TR001863)
- National Cancer Institute (P50CA127003, K07CA188126, R01CA202704, R01CA151993, R01CA118553, R01CA137178, R35CA197735, P01CA087969, R01CA169141, P01CA055075, UM1CA186107, UM1CA167552, K07CA190673, R01CA154426)
- National Institute of Diabetes and Digestive and Kidney Diseases (K24DK098311, P30DK036836, P30DK043351)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Keywords
- Fusobacterium nucleatum, colorectal cancer, prudent diet, Western diet, dietary habits, colorectal cancer subtypes, tumor tissue, whole grains, dietary fiber, red and processed meat, colorectal carcinogenesis, antitumor immunity, Nurses' Health Study, Health Professionals Follow-up Study, colon cancer, rectal cancer, cancer risk factors, gut microbiota
- MeSH terms
- Whole Grains, Gastrointestinal Microbiome, Diet, Healthy, Adult, Aged, Carcinoma, Diet, Dietary Fiber, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prospective Studies, Risk Factors, United States, Viral Proteins, Colorectal Neoplasms, Cohort Studies, Incidence, Proportional Hazards Models, Fusobacterium nucleatum, Diet, Western
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
