Evidence map›Paper›PMID 22851115›Full record

ArticleJAMA2012

Prevalence and phenotypes of APC and MUTYH mutations in patients with multiple colorectal adenomas.

Shilpa Grover, Fay Kastrinos, Ewout W Steyerberg, E Francis Cook, Akriti Dewanwala, Lynn Anne Burbidge, Richard J Wenstrup, Sapna Syngal

Open access · greenAbstract read
In one paragraph

Article in JAMA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 9 pooled it
10.1field-weighted citation impact, top 1% 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

106 citing papers in PubMed, 9 syntheses or guidelines pooled it, 238 citations in OpenAlex.

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  11. Adenomatous Polyposis Coli Gene Polyposis-Related Syndromes.The American journal of gastroenterology · 2026
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46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Shilpa Grover *Division of Gastroenterology, Brigham and Women's Hospital, Boston, MA.
Fay Kastrinos *Columbia University Medical Center, New York, NY.
Ewout W SteyerbergCenter for Medical Decision Making, Erasmus Medical Center, Rotterdam, Netherlands.
E Francis CookHarvard School of Public Health, Boston, MA.
Akriti DewanwalaPopulation Sciences Division, Dana-Farber Cancer Institute, Boston, MA.
Lynn Anne BurbidgeMyriad Genetic Laboratories Inc., Salt Lake City, UT.
Richard J WenstrupMyriad Genetic Laboratories Inc., Salt Lake City, UT.
Sapna SyngalDivision of Gastroenterology, Brigham and Women's Hospital, Boston, MA.
Brigham and Women's Hospital · USMyriad Genetics · USColumbia University Irving Medical Center · USDana-Farber Cancer Institute · USHarvard University · US

Funding

Program in Cancer Research Outcomes Training (PCORT)R25CA092203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GAZELLE, G SCOTT · 2002 to 2016
$8.2M
The Genetics and Prevention of Gastrointestinal CancersK24CA113433 · NCI · DANA-FARBER CANCER INSTITUTE · PI SYNGAL, SAPNA · 2005 to 2014
$1.7M
Assessment of Inherited Colon Cancer Prediction Models in Diverse PopulationsK07CA151769 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KASTRINOS, FAY · 2010 to 2014
$855k
NCI NIH HHS K07 CA151769NCI NIH HHS K24 CA113433NCI NIH HHS R25 CA 092203NCI NIH HHS R25 CA092203PHS HHS K24113433
6 · The paper itself

Abstract

contextPatients with multiple colorectal adenomas may carry germline mutations in the APC or MUTYH genes.

objectivesTo determine the prevalence of pathogenic APC and MUTYH mutations in patients with multiple colorectal adenomas who had undergone genetic testing and to compare the prevalence and clinical characteristics of APC and MUTYH mutation carriers. DESIGN, SETTING, AND

participantsCross-sectional study conducted among 8676 individuals who had undergone full gene sequencing and large rearrangement analysis of the APC gene and targeted sequence analysis for the 2 most common MUTYH mutations (Y179C and G396D) between 2004 and 2011. Individuals with either mutation underwent full MUTYH gene sequencing. APC and MUTYH mutation prevalence was evaluated by polyp burden; the clinical characteristics associated with a pathogenic mutation were evaluated using logistic regression analyses.

main outcome measurePrevalence of pathogenic mutations in APC and MUTYH genes.

resultsColorectal adenomas were reported in 7225 individuals; 1457 with classic polyposis (≥100 adenomas) and 3253 with attenuated polyposis (20-99 adenomas). The prevalence of pathogenic APC and biallelic MUTYH mutations was 95 of 119 (80% [95% CI, 71%-87%]) and 2 of 119 (2% [95% CI, 0.2%-6%]), respectively, among individuals with 1000 or more adenomas, 756 of 1338 (56% [95% CI, 54%-59%]) and 94 of 1338 (7% [95% CI, 6%-8%]) among those with 100 to 999 adenomas, 326 of 3253 (10% [95% CI, 9%-11%]) and 233 of 3253 (7% [95% CI, 6%-8%]) among those with 20 to 99 adenomas, and 50 of 970 (5% [95% CI, 4%-7%]) and 37 of 970 (4% [95% CI, 3%-5%]) among those with 10 to 19 adenomas. Adenoma count was strongly associated with a pathogenic mutation in multivariable analyses.

conclusionsAmong patients with multiple colorectal adenomas, pathogenic APC and MUTYH mutation prevalence varied considerably by adenoma count, including within those with a classic polyposis phenotype. APC mutations predominated in patients with classic polyposis, whereas prevalence of APC and MUTYH mutations was similar in attenuated polyposis. These findings require external validation.

Indexed as

MutationAdenomaAdenomatous Polyposis ColiAdenomatous Polyposis Coli ProteinAdultColorectal NeoplasmsCross-Sectional StudiesDNA GlycosylasesDNA Mutational AnalysisFemaleHumansMaleMiddle AgedPhenotypeSequence Analysis, DNAAdenomatous Polyposis Coli ProteinAPC protein, humanDNA GlycosylasesmutY adenine glycosylase

Identifiers

PMID22851115
PMCPMC3770297
OpenAlexW2124802452

What OpenQuestion holds

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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.