Evidence map›Paper›PMID 26446593›Full record

ArticleFamilial cancer2016

Contribution of APC and MUTYH mutations to familial adenomatous polyposis susceptibility in Hungary.

Janos Papp, Marietta Eva Kovacs, Zoltan Matrai, Enikő Orosz, Miklós Kásler, Anne-Lise Børresen-Dale, Edith Olah

Open access · hybridAbstract read
In one paragraph

Article in Familial cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Analysis ofFrontiers in oncology · 2026
    Article
  2. Article
  3. Complex Characterization of Germline Large Genomic Rearrangements of theInternational journal of molecular sciences · 2020
    Article
  4. PathogenicMedicina (Kaunas, Lithuania) · 2019
    Article
  5. Article
  6. Tumor suppressor genes in familial adenomatous polyposis.Gastroenterology and hepatology from bed to bench · 2017
    Review
  7. The genetic basis of colonic adenomatous polyposis syndromes.Hereditary cancer in clinical practice · 2017
    Review
  8. Three novel mutations of APC gene in Chinese patients with familial adenomatous polyposis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  9. 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 at 2 institutions in 3 countries.

Janos PappDepartment of Molecular Genetics, National Institute of Oncology, Rath Gy. u. 7-9, Budapest, 1122, Hungary.
Marietta Eva KovacsDepartment of Molecular Genetics, National Institute of Oncology, Rath Gy. u. 7-9, Budapest, 1122, Hungary.
Zoltan MatraiDepartment of General Surgery, National Institute of Oncology, Budapest, Hungary.
Enikő OroszDepartment of Clinical Central Laboratory, National Institute of Oncology, Budapest, Hungary.
Miklós KáslerMultidisciplinary Centre of Head and Neck Oncology, National Institute of Oncology, Budapest, Hungary.
Anne-Lise Børresen-DaleDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway.
Edith OlahDepartment of Molecular Genetics, National Institute of Oncology, Rath Gy. u. 7-9, Budapest, 1122, Hungary. e.olah@oncol.hu.
National Institute of Oncology · HUOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Familial adenomatous polyposis (FAP) is a colorectal cancer predisposition syndrome with considerable genetic and phenotypic heterogeneity, defined by the development of multiple adenomas throughout the colorectum. FAP is caused either by monoallelic mutations in the adenomatous polyposis coli gene APC, or by biallelic germline mutations of MUTYH, this latter usually presenting with milder phenotype. The aim of the present study was to characterize the genotype and phenotype of Hungarian FAP patients. Mutation screening of 87 unrelated probands from FAP families (21 of them presented as the attenuated variant of the disease, showing <100 polyps) was performed using DNA sequencing and multiplex ligation-dependent probe amplification. Twenty-four different pathogenic mutations in APC were identified in 65 patients (75 %), including nine cases (37.5 %) with large genomic alterations. Twelve of the point mutations were novel. In addition, APC-negative samples were also tested for MUTYH mutations and we were able to identify biallelic pathogenic mutations in 23 % of these cases (5/22). Correlations between the localization of APC mutations and the clinical manifestations of the disease were observed, cases with a mutation in the codon 1200-1400 region showing earlier age of disease onset (p < 0.003). There were only a few, but definitive dissimilarities between APC- and MUTYH-associated FAP in our cohort: the age at onset of polyposis was significantly delayed for biallelic MUTYH mutation carriers as compared to patients with an APC mutation. Our data represent the first comprehensive study delineating the mutation spectra of both APC and MUTYH in Hungarian FAP families, and underscore the overlap between the clinical characteristics of APC- and MUTYH-associated phenotypes, necessitating a more appropriate clinical characterization of FAP families.

Indexed as

Genes, APCAdenomatous Polyposis ColiAdenomatous Polyposis Coli ProteinAdolescentAdultBase SequenceChildDNA GlycosylasesDNA Mutational AnalysisFemaleGenetic Predisposition to DiseaseGenotypeHumansHungaryMaleMiddle AgedAdenomatous Polyposis Coli ProteinAPC protein, humanDNA GlycosylasesmutY adenine glycosylaseAPCColorectal cancerFamilial adenomatous polyposisGenotype–phenotype correlationsGermline mutationsMUTYH

Identifiers

PMID26446593
PMCPMC4698287
OpenAlexW1840863984

What OpenQuestion 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 OpenQuestion graph.