Evidence map›Paper›PMID 41922722›Full record

ReviewNature reviews. Gastroenterology & hepatology2026

Pathophysiology of colitis-associated colorectal cancer.

Clemens Neufert, Markus F Neurath

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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

2 authors.

Clemens NeufertUniversitätsklinikum Erlangen, First Department of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. clemens.neufert@uk-erlangen.de.ORCID http://orcid.org/0000-0003-1418-7921
Markus F NeurathUniversitätsklinikum Erlangen, First Department of Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colitis-associated colorectal cancer (caCRC) is a subset of lower gastrointestinal tract malignancies that occurs in patients with inflammatory bowel disease (IBD), such as ulcerative colitis and Crohn's disease. The global prevalence of IBD is increasing, putting more individuals at risk of developing caCRC. The pathophysiological mechanisms that underlie the initiation and growth of caCRC remain to be fully elucidated. Nevertheless, studies have provided novel insights into the pathophysiology of caCRC, underscoring the distinguishing characteristics of caCRC compared with sporadic forms of CRC. In this Review, we describe the key mechanisms that drive caCRC. Starting from a clinical perspective and highlighting key features of the tumour epithelium, we discuss typical caCRC-related characteristics among subtypes of CRC, with a particular focus on the role of stromal cells in the tumour microenvironment. In addition, we review the contributions of immune cells to tumour control versus tumour promotion, and how signals from the gut microbiome might influence tumour development in caCRC. We also discuss various aspects of the pathophysiological heterogeneity of caCRC. Finally, we outline potential implications for therapy, and how these findings could be translated into future strategies of personalized medicine targeting caCRC.

Indexed as

Colitis-Associated NeoplasmsColorectal NeoplasmsGastrointestinal MicrobiomeHumansTumor Microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
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.