Evidence map›Paper›PMID 24830819›Full record

ArticlePloS one2014

The validation and clinical implementation of BRCAplus: a comprehensive high-risk breast cancer diagnostic assay.

Hansook Kim Chong, Tao Wang, Hsiao-Mei Lu, Sara Seidler, Hong Lu, Steven Keiles, Elizabeth C Chao, A J Stuenkel, Xiang Li, Aaron M Elliott

Erratum issuedOpen access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2014. 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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
14.5field-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

34 citing papers in PubMed, 86 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genotype-phenotype associations among panel-based TP53+ subjects.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  7. Detection of structural variation using target captured next-generation sequencing data for genetic diagnostic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  8. Review
  9. Article
  10. Article
  11. Inherited Cancer in the Age of Next-Generation Sequencing.Biological research for nursing · 2018
    Review
  12. Reliable Biomarkers to Identify New and Recurrent Cancer.European journal of breast health · 2017
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Hansook Kim ChongDepartment of Research and Development, Ambry Genetics, Aliso Viejo, California, United States of America.
Tao WangDepartment of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America.
Hsiao-Mei LuDepartment of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America.
Sara SeidlerDepartment of Research and Development, Ambry Genetics, Aliso Viejo, California, United States of America.
Hong LuDepartment of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America.
Steven KeilesDepartment of Clinical Genetics, Ambry Genetics, Aliso Viejo, California, United States of America.
Elizabeth C ChaoDepartment of Clinical Genetics, Ambry Genetics, Aliso Viejo, California, United States of America.
A J StuenkelDepartment of Clinical Genetics, Ambry Genetics, Aliso Viejo, California, United States of America.
Xiang LiDepartment of Bioinformatics, Ambry Genetics, Aliso Viejo, California, United States of America.
Aaron M ElliottDepartment of Research and Development, Ambry Genetics, Aliso Viejo, California, United States of America.
Ambry Genetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most commonly diagnosed cancer in women, with 10% of disease attributed to hereditary factors. Although BRCA1 and BRCA2 account for a high percentage of hereditary cases, there are more than 25 susceptibility genes that differentially impact the risk for breast cancer. Traditionally, germline testing for breast cancer was performed by Sanger dideoxy terminator sequencing in a reflexive manner, beginning with BRCA1 and BRCA2. The introduction of next-generation sequencing (NGS) has enabled the simultaneous testing of all genes implicated in breast cancer resulting in diagnostic labs offering large, comprehensive gene panels. However, some physicians prefer to only test for those genes in which established surveillance and treatment protocol exists. The NGS based BRCAplus test utilizes a custom tiled PCR based target enrichment design and bioinformatics pipeline coupled with array comparative genomic hybridization (aCGH) to identify mutations in the six high-risk genes: BRCA1, BRCA2, PTEN, TP53, CDH1, and STK11. Validation of the assay with 250 previously characterized samples resulted in 100% detection of 3,025 known variants and analytical specificity of 99.99%. Analysis of the clinical performance of the first 3,000 BRCAplus samples referred for testing revealed an average coverage greater than 9,000X per target base pair resulting in excellent specificity and the sensitivity to detect low level mosaicism and allele-drop out. The unique design of the assay enabled the detection of pathogenic mutations missed by previous testing. With the abundance of NGS diagnostic tests being released, it is essential that clinicians understand the advantages and limitations of different test designs.

Indexed as

Genes, BRCA2AlgorithmsAllelesBRCA2 ProteinBreast NeoplasmsComparative Genomic HybridizationComputational BiologyDNA PrimersEarly Detection of CancerFemaleGenetic Predisposition to DiseaseHumansMutationPolymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificityBRCA2 ProteinBRCA2 protein, humanDNA Primers

Identifiers

PMID24830819
PMCPMC4022661
OpenAlexW2102766081

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.