Evidence map›Paper›PMID 40434363›Full record

ReviewClinical and translational gastroenterology2025

The Enteric Microbiome in Early-Onset Colorectal Cancer: A Comprehensive Review of Its Role as a Biomarker of Disease.

Jesús M Luévano, Julia Liu, Thaddeus Stappenbeck

Abstract readReview
In one paragraph

Review in Clinical and translational gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Jesús M LuévanoDivision of Gastroenterology, Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-5836-661
Julia LiuDivision of Gastroenterology, Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia, USA.
Thaddeus StappenbeckDepartment of Inflammation and Immunity, Learner Research Institute, Cleveland Clinic College of Medicine, Cleveland, Ohio, USA .

Funding

American Cancer Society DICRIDG-21-072-01
6 · The paper itself

Abstract

Early-onset colorectal cancer (EoCRC), a distinct entity from late-onset colorectal cancer (LoCRC), continues to increase in incidence. Known risk factors for LoCRC have been explored to explain this trend, but do not account for it completely. The gastrointestinal microbiome has been associated with LoCRC and additional risk factors of disease; however, it is only now being investigated in the context of EoCRC. A better understanding of the microbiome's function in EoCRC could elucidate its role in the increasing incidence of EoCRC. This article reviews the state of literature related to studies specifically isolating microbiome-related changes in EoCRC compared with LoCRC and age-matched controls. Several studies reviewed in this article highlight the varied results of overall diversity and specific bacteria that are influenced by EoCRC, and the utility of these unique changes to predict for EoCRC. Although the microbiome can be useful in understanding EoCRC, to better predict for disease the microbiome must be studied in more diverse populations and with deeper, more functional characterization in a manner that allows for transference of findings among future studies. These studies indicate that the enteric microbiome holds significant potential as a biomarker for disease but has yet to fully meet an understanding necessary for direct clinical utilization.

Indexed as

Biomarkers, TumorColorectal NeoplasmsGastrointestinal MicrobiomeAge of OnsetCase-Control StudiesHumansIncidenceRisk FactorsBiomarkers, Tumorbiomarkerearly-onset colorectal cancermicrobiomereview

Identifiers

PMID40434363
PMCPMC12377310

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Registered trials

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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.