Evidence map›Paper›PMID 20516115›Full record

ArticleCancer research2010

Comprehensive analysis of missense variations in the BRCT domain of BRCA1 by structural and functional assays.

Megan S Lee, Ruth Green, Sylvia M Marsillac, Nicolas Coquelle, R Scott Williams, Telford Yeung, Desmond Foo, D Duong Hau, Ben Hui, Alvaro N A Monteiro and 1 more

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

103 citing papers in PubMed, 164 citations in OpenAlex.

  1. Article
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  4. Genetic background shapes AI-predicted variant effects.bioRxiv : the preprint server for biology · 2026
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  11. Reversion of pathogeniciScience · 2024
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  12. Review
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  20. Review

43 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

11 authors at 3 institutions in 3 countries.

Megan S LeeDepartment of Biochemistry, School of Systems Molecular Medicine, University of Alberta, Edmonton, Alberta, Canada.
Ruth Green
Sylvia M Marsillac
Nicolas Coquelle
R Scott Williams
Telford Yeung
Desmond Foo
D Duong Hau
Ben Hui
Alvaro N A Monteiro
J N Mark Glover
Moffitt Cancer Center · USUniversity of Alberta · CAUniversidade Federal do Rio de Janeiro · BR

Funding

BRCA2 missense mutations and breast cancerR01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
BRCA1 and BRCA2 missense mutations and breast cancer riskU01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2013 to 2017
$2.7M
Howard Hughes Medical InstituteNCI NIH HHS CA116167NCI NIH HHS R01 CA116167NCI NIH HHS U01 CA116167
6 · The paper itself

Abstract

Genetic screening of the breast and ovarian cancer susceptibility gene BRCA1 has uncovered a large number of variants of uncertain clinical significance. Here, we use biochemical and cell-based transcriptional assays to assess the structural and functional defects associated with a large set of 117 distinct BRCA1 missense variants within the essential BRCT domain of the BRCA1 protein that have been documented in individuals with a family history of breast or ovarian cancer. In the first method, we used limited proteolysis to assess the protein folding stability of each of the mutants compared with the wild-type. In the second method, we used a phosphopeptide pull-down assay to assess the ability of each of the variants to specifically interact with a peptide containing a pSer-X-X-Phe motif, a known functional target of the BRCA1 BRCT domain. Finally, we used transcriptional assays to assess the ability of each BRCT variant to act as a transcriptional activation domain in human cells. Through a correlation of the assay results with available family history and clinical data, we define limits to predict the disease risk associated with each variant. Forty-two of the variants show little effect on function and are likely to represent variants with little or no clinical significance; 50 display a clear functional effect and are likely to represent pathogenic variants; and the remaining 25 variants display intermediate activities. The excellent agreement between the structure/function effects of these mutations and available clinical data supports the notion that functional and structure information can be useful in the development of models to assess cancer risk.

Indexed as

BRCA1 ProteinBreast NeoplasmsFemaleGenetic VariationHumansMutation, MissensePhosphopeptidesProtein FoldingProtein Structure, TertiaryTranscriptional ActivationTranscription, GeneticBRCA1 ProteinPhosphopeptides

Identifiers

PMID20516115
PMCPMC3040717
OpenAlexW2119891255

What OpenQuestion holds

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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.