Evidence map›Paper›PMID 28174420›Full record

ReviewNature reviews. Gastroenterology & hepatology2017

Clonal evolution of colorectal cancer in IBD.

Chang-Ho R Choi, Ibrahim Al Bakir, Ailsa L Hart, Trevor A Graham

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 3 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

99 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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39 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

4 authors.

Chang-Ho R ChoiEvolution and Cancer Laboratory, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Ibrahim Al BakirEvolution and Cancer Laboratory, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
Ailsa L HartInflammatory Bowel Disease Unit, Level 4 St Mark's Hospital, Watford Road, London HA1 3UJ, UK.
Trevor A GrahamEvolution and Cancer Laboratory, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.

Funding

Cancer Research UK 19771Medical Research Council MR/P00122X/1
6 · The paper itself

Abstract

Optimizing the management of colorectal cancer (CRC) risk in IBD requires a fundamental understanding of the evolutionary process underpinning tumorigenesis. In IBD, clonal evolution begins long before the development of overt neoplasia, and is probably accelerated by the repeated cycles of epithelial wounding and repair that are characteristic of the condition. Here, we review the biological drivers of mutant clone selection in IBD with particular reference to the unique histological architecture of the intestinal epithelium coupled with the inflammatory microenvironment in IBD, and the unique mutation patterns seen in IBD-driven neoplasia when compared with sporadic adenomas and CRC. How these data can be leveraged as evolutionary-based biomarkers to predict cancer risk is discussed, as well as how the efficacy of CRC surveillance programmes and the management of dysplasia can be improved. From a research perspective, the longitudinal surveillance of patients with IBD provides an under-exploited opportunity to investigate the biology of the human gastrointestinal tract over space and time.

Indexed as

Genetic Predisposition to DiseaseBiomarkers, TumorCell Transformation, NeoplasticColorectal NeoplasmsHumansInflammatory Bowel DiseasesBiomarkers, Tumor

Identifiers

PMID28174420

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.