Evidence map›Paper›PMID 18824701›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2008

Clinically applicable models to characterize BRCA1 and BRCA2 variants of uncertain significance.

Andrew D Spearman, Kevin Sweet, Xiao-Ping Zhou, Jane McLennan, Fergus J Couch, Amanda Ewart Toland

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 81 citations in OpenAlex.

  1. Reclassification ofCurrent oncology (Toronto, Ont.) · 2026
    Article
  2. Genes · 2024
    Article
  3. Article
  4. Observational
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  9. Review
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  11. Review
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  13. Review
  14. Article
  15. Article
  16. Clinically Significant Unclassified Variants inCancer research and treatment · 2017
    Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Andrew D SpearmanDepartment of Biology and Pathology, Division of Human Cancer Genetics, The Ohio State University, Columbus, OH 43210, USA.
Kevin Sweet
Xiao-Ping Zhou
Jane McLennan
Fergus J Couch
Amanda Ewart Toland
Cancer Genetics (United States) · US

Funding

BRCA2 missense mutations and breast cancerR01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
NCI NIH HHS P50 CA582017NCI NIH HHS R01 CA116167
6 · The paper itself

Abstract

purposeTwenty percent of individuals with a strong family and/or personal history of breast and ovarian cancer carry a deleterious mutation in BRCA1 or BRCA2. Identification of mutations in these genes is extremely beneficial for patients pursuing risk reduction strategies. Approximately 7% of individuals who have genetic testing of BRCA1 and BRCA2 carry a variant of uncertain significance (VUS), making clinical management less certain. The majority of identified VUS occur only in one to two individuals; these variants are not able to be classified using current classification models with segregation analysis components.

methodsTo develop a clinically applicable method that can predict the pathogenicity of VUS that does not require familial information or segregation analysis, we identified characteristics of breast or ovarian tumors that distinguished sporadic tumors from tumors with BRCA1 or BRCA2 mutations. Study participants included individuals with known deleterious mutations in BRCA1 or BRCA2 and individuals with classified or unclassified BRCA variants.

resultsWe applied the models to 57 tumors with 43 different deleterious BRCA mutations and 57 tumors with 54 unique classified and unclassified BRCA variants. Of the 33 previously unclassified VUS studied, we found evidence of neutrality for 21.

conclusionOur models showed 98% sensitivity and 76% specificity for predicting classified DNA changes. We classified 64% of unknown variants as neutral. Classification of VUS as neutral will have immediate benefit for those individuals and their family members. These models are adaptable for the clinic and will be useful for individuals with limited available family history.

Indexed as

Genes, BRCA1Genes, BRCA2Models, StatisticalMutationBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansLoss of HeterozygosityOvarian NeoplasmsRNA Splice SitesRNA Splice Sites

Identifiers

PMID18824701
PMCPMC2651073
OpenAlexW2147415481

What OpenQuestion holds

Textmetadata
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.