Evidence map›Paper›PMID 31582724›Full record

ArticleExperimental & molecular medicine2019

Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis.

Jinho Yang, Andrea McDowell, Eun Kyoung Kim, Hochan Seo, Won Hee Lee, Chang-Mo Moon, Sung-Min Kym, Dong Ho Lee, Young Soo Park, Young-Koo Jee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Experimental & molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 162 citations in OpenAlex.

  1. Article
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  5. Article
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  8. Frontiers in microbiology · 2025
    Article
  9. Article
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  11. Article
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  13. Microorganisms · 2024
    Article
  14. Review
  15. Article
  16. Effects ofFrontiers in cellular and infection microbiology · 2024
    Review
  17. Review
  18. Article
  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Jinho Yang *MD Healthcare Inc., Seoul, Republic of Korea.
Andrea McDowell *MD Healthcare Inc., Seoul, Republic of Korea.
Eun Kyoung KimMD Healthcare Inc., Seoul, Republic of Korea.
Hochan SeoMD Healthcare Inc., Seoul, Republic of Korea.
Won Hee LeeMD Healthcare Inc., Seoul, Republic of Korea.
Chang-Mo MoonDepartment of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Sung-Min KymDepartment of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
Dong Ho LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-6376-410X
Young Soo ParkDepartment of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea.
Young-Koo JeeDepartment of Internal Medicine, Dankook University College of Medicine, Cheonan, Republic of Korea. ykjee@dankook.ac.kr.
Yoon-Keun KimMD Healthcare Inc., Seoul, Republic of Korea. ykkim@mdhc.kr.
Seoul National University Bundang Hospital · KRDankook University · KREwha Womans University · KRInje University Haeundae Paik Hospital · KRKorea University · KRNational University College · PR

Funding

Ministry of Health and Welfare (Ministry of Health, Welfare and Family Affairs) H17C1996National Research Foundation of Korea (NRF) NRF-2016M3A9B6901516National Research Foundation of Korea (NRF) NRF-2017M3A9F3047497
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common form of cancer and poses a critical public health threat due to the global spread of westernized diets high in meat, cholesterol, and fat. Although the link between diet and colorectal cancer has been well established, the mediating role of the gut microbiota remains elusive. In this study, we sought to elucidate the connection between the gut microbiota, diet, and CRC through metagenomic analysis of bacteria isolated from the stool of CRC (n = 89) and healthy (n = 161) subjects. This analysis yielded a dozen genera that were significantly altered in CRC patients, including increased Bacteroides, Fusobacterium, Dorea, and Porphyromonas prevalence and diminished Pseudomonas, Prevotella, Acinetobacter, and Catenibacterium carriage. Based on these altered genera, we developed two novel CRC diagnostic models through stepwise selection and a simplified model using two increased and two decreased genera. As both models yielded strong AUC values above 0.8, the simplified model was applied to assess diet-based CRC risk in mice. Mice fed a westernized high-fat diet (HFD) showed greater CRC risk than mice fed a regular chow diet. Furthermore, we found that nonglutinous rice, glutinous rice, and sorghum consumption reduced CRC risk in HFD-fed mice. Collectively, these findings support the critical mediating role of the gut microbiota in diet-induced CRC risk as well as the potential of dietary grain intake to reduce microbiota-associated CRC risk. Further study is required to validate the diagnostic prediction models developed in this study as well as the preventive potential of grain consumption to reduce CRC risk.

Indexed as

AgedAnimalsBacteriaCholesterolColorectal NeoplasmsDiet, High-FatFecesFemaleGastrointestinal MicrobiomeHumansMaleMetagenomeMiceMicrobiotaMiddle AgedRisk AssessmentCholesterol

Identifiers

PMID31582724
PMCPMC6802675
OpenAlexW2977997490

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.