Evidence mapPaperPMID 39948421Full record

ReviewEMBO molecular medicine2025

Model systems to study tumor-microbiome interactions in early-onset colorectal cancer.

Katharina M Richter, Marius Wrage, Carolin Krekeler, Tiago De Oliveira, Lena-Christin Conradi, Kerstin Menck, Annalen Bleckmann

Abstract readReview
In one paragraph

Review in EMBO molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

7 authors.

Katharina M RichterDepartment of Medicine A, University of Muenster, 48149, Muenster, Germany.
Marius WrageDepartment of Medicine A, University of Muenster, 48149, Muenster, Germany.
Carolin KrekelerDepartment of Medicine A, University of Muenster, 48149, Muenster, Germany.ORCID 0009-0000-1808-5928
Tiago De OliveiraDepartment of General, Visceral and Pediatric Surgery, University Medical Center Goettingen, 37075, Goettingen, Germany.ORCID 0000-0002-2502-7897
Lena-Christin ConradiDepartment of General, Visceral and Pediatric Surgery, University Medical Center Goettingen, 37075, Goettingen, Germany.
Kerstin Menck *Department of Medicine A, University of Muenster, 48149, Muenster, Germany.
Annalen Bleckmann *Department of Medicine A, University of Muenster, 48149, Muenster, Germany. annalen.bleckmann@ukmuenster.de.ORCID 0000-0002-0863-9840

Funding

Bundesministerium für Bildung und Forschung (BMBF) 01KD2101FDeutsche Forschungsgemeinschaft (DFG) 493624047
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a major health problem, with an alarming increase of early-onset CRC (EO-CRC) cases among individuals under 50 years of age. This trend shows the urgent need for understanding the underlying mechanisms leading to EO-CRC development and progression. There is significant evidence that the gut microbiome acts as a key player in CRC by triggering molecular changes in the colon epithelium, leading to tumorigenesis. However, a comprehensive collection and comparison of methods to study such tumor-microbiome interactions in the context of EO-CRC is sparse. This review provides an overview of the available in vivo, ex vivo as well as in vitro approaches to model EO-CRC and assess the effect of gut microbes on tumor development and growth. By comparing the advantages and limitations of each model system, it highlights that, while no single model is perfect, each is suitable for studying specific aspects of microbiome-induced tumorigenesis. Taken together, multifaceted approaches can simulate the human body's complexity, aiding in the development of effective treatment and prevention strategies for EO-CRC.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeAge of OnsetAnimalsCarcinogenesisHumansCancer Cell LinesCo-culture SystemsEarly-onset Colorectal CancerMicrobiomeMouse Models

Identifiers

PMID39948421
PMCPMC11903813

What Socratic 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 Socratic graph.