Evidence map›Paper›PMID 15860134›Full record

ArticleBMC cancer2005

A novel duplication polymorphism in the FANCA promoter and its association with breast and ovarian cancer.

Ella Thompson, Rebecca L Dragovic, Sally-Anne Stephenson, Diana M Eccles, Ian G Campbell, Alexander Dobrovic

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Ella ThompsonDepartment of Pathology, Peter MacCallum Cancer Centre, Locked Bag 1 A'Beckett St, Melbourne, Victoria 8006, Australia. ella.thompson@petermac.org
Rebecca L Dragovic
Sally-Anne Stephenson
Diana M Eccles
Ian G Campbell
Alexander Dobrovic
Peter MacCallum Cancer Centre · AUUniversity of Adelaide · AUPrincess Anne Hospital · GBQueen Elizabeth Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThe FANCA gene is one of the genes in which mutations lead to Fanconi anaemia, a rare autosomal recessive disorder characterised by congenital abnormalities, bone marrow failure, and predisposition to malignancy. FANCA is also a potential breast and ovarian cancer susceptibility gene. A novel allele was identified which has a tandem duplication of a 13 base pair sequence in the promoter region.

methodsWe screened germline DNA from 352 breast cancer patients, 390 ovarian cancer patients and 256 normal controls to determine if the presence of either of these two alleles was associated with an increased risk of breast or ovarian cancer.

resultsThe duplication allele had a frequency of 0.34 in the normal controls. There was a non-significant decrease in the frequency of the duplication allele in breast cancer patients. The frequency of the duplication allele was significantly decreased in ovarian cancer patients. However, when malignant and benign tumours were considered separately, the decrease was only significant in benign tumours.

conclusionThe allele with the tandem duplication does not appear to modify breast cancer risk but may act as a low penetrance protective allele for ovarian cancer.

Indexed as

Gene DuplicationGenetic Predisposition to DiseasePolymorphism, GeneticAdultAgedAllelesBreast NeoplasmsFanconi Anemia Complementation Group A ProteinFemaleGenetic VariationGenotypeHumansMiddle AgedModels, GeneticOvarian NeoplasmsPolymorphism, Single-Stranded ConformationalFANCA protein, humanFanconi Anemia Complementation Group A Protein

Identifiers

PMID15860134
PMCPMC1112586
OpenAlexW1510717040

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LicenceCC BY
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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.