Evidence map›Paper›PMID 37921412›Full record

ArticleCancer research communications2023

Risk Prediction of Metachronous Colorectal Cancer from Molecular Features of Adenomas: A Nested Case-Control Study.

Henriette C Jodal, Eddymurphy U Akwiwu, Margriet Lemmens, Pien M Delis-van Diemen, Dagmar Klotz, Leticia G Leon, Soufyan Lakbir, Meike de Wit, Remond J A Fijneman, Monique E van Leerdam and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

17 authors at 5 institutions in 2 countries.

Henriette C Jodal *Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway.ORCID 0000-0001-6957-9469
Eddymurphy U Akwiwu *Department of Epidemiology and Data Science, Amsterdam Public Health Research Group, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, the Netherlands.ORCID 0000-0001-9730-7073
Margriet LemmensDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0009-0008-2004-0532
Pien M Delis-van DiemenDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0009-0001-3600-720X
Dagmar KlotzClinical Effectiveness Research Group, University of Oslo, Oslo, Norway.ORCID 0009-0009-5949-3528
Leticia G LeonDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0001-8781-7424
Soufyan LakbirDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-8521-4408
Meike de WitDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-1850-0831
Remond J A FijnemanDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-2076-5521
Monique E van LeerdamDepartment of Gastrointestinal Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-5719-3208
Evelien DekkerDepartment of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, the Netherlands.ORCID 0000-0002-4363-0745
Manon C W SpaanderDepartment of Gastroenterology and Hepatology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-9103-9757
Gerrit A MeijerDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-0330-3130
Magnus LøbergClinical Effectiveness Research Group, University of Oslo, Oslo, Norway.ORCID 0000-0003-2231-1304
Veerle M H CoupéDepartment of Epidemiology and Data Science, Amsterdam Public Health Research Group, Amsterdam University Medical Centers, Location VU Medical Center, Amsterdam, the Netherlands.ORCID 0000-0002-9553-9791
Mette KalagerClinical Effectiveness Research Group, University of Oslo, Oslo, Norway.ORCID 0000-0003-2504-108X
Beatriz Carvalho *Department of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-4903-399X
Dutch Cancer Society · NLOslo University Hospital · NOAmsterdam University Medical Centers · NLErasmus MC · NLLeiden University Medical Center · NL

Funding

Norges Forskningsråd (Forskningsrådet) 231920Norges Forskningsråd (Forskningsrådet) 250256ZonMw (Netherlands Organisation for Health Research and Development) 531002023
6 · The paper itself

Abstract

Current morphologic features defining advanced adenomas (size ≥10 mm, high-grade dysplasia or ≥25% villous component) cannot optimally distinguish individuals at high risk or low risk of metachronous colorectal cancer (me-CRC), which may result in suboptimal surveillance. Certain DNA copy-number alterations (CNAs) are associated with adenoma-to-carcinoma progression. We aimed to evaluate whether these molecular features can better predict an individual's risk of me-CRC than the morphologic advanced adenoma features.In this nested case-control study, 529 individuals with a single adenoma at first colonoscopy were selected from a Norwegian adenoma cohort. DNA copy-number profiles were determined, by low-coverage whole-genome sequencing. Prevalence of CNAs in advanced and non-advanced adenomas and its association (OR) with me-CRC was assessed. For the latter, cases (with me-CRC) were matched to controls (without me-CRC) on follow-up, age and sex.CNAs associated with adenoma-to-carcinoma progression were observed in 85/267 (32%) of advanced adenomas and in 27/262 (10%) of non-advanced adenomas. me-CRC was statistically significantly associated, also after adjustment for other variables, with age at baseline [OR, 1.14; 95% confidence interval CI), 1.03-1.26; P = 0.012], advanced adenomas (OR, 2.46; 95% CI, 1.50-4.01; P < 0.001) and with the presence of ≥3 DNA copy-number losses (OR, 1.90; 95% CI. 1.02-3.54; P = 0.043).Molecularly-defined high-risk adenomas were associated with me-CRC, but the association of advanced adenoma with me-CRC was stronger. SIGNIFICANCE: Identifying new biomarkers may improve prediction of me-CRC for individuals with adenomas and optimize surveillance intervals to reduce risk of colorectal cancer and reduce oversurveillance of patients with low risk of colorectal cancer. Use of DNA CNAs alone does not improve prediction of me-CRC. Further research to improve risk classification is required.

Indexed as

AdenomaCarcinomaColorectal NeoplasmsCase-Control StudiesDNAHumansDNA

Identifiers

PMID37921412
PMCPMC10642372
OpenAlexW4388291296

What OpenQuestion holds

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LicenceCC BY
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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.