Evidence map›Paper›PMID 25136594›Full record

ArticleBioMed research international2014

Genetic testing in hereditary breast and ovarian cancer using massive parallel sequencing.

Anna Ruiz, Gemma Llort, Carmen Yagüe, Neus Baena, Marina Viñas, Montse Torra, Anna Brunet, Miquel A Seguí, Eugeni Saigí, Miriam Guitart

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Targeted resequencing and variant validation using pxlence PCR assays.Biomolecular detection and quantification · 2016
    Article
  5. Review
  6. Article
  7. Hereditary ovarian cancer: not only BRCA 1 and 2 genes.BioMed research international · 2015
    Review
  8. Review
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

10 authors at 1 institution in 1 country.

Anna RuizLaboratorio de Genética, UDIAT-Centre Diagnòstic, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.ORCID 0000-0001-7314-5962
Gemma LlortUnidad de Consejo Genético, Institut Oncològic del Vallès, Corporació Sanitària Parc Taulí, Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Carmen YagüeUnidad de Consejo Genético, Institut Oncològic del Vallès, Corporació Sanitària Parc Taulí, Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Neus BaenaLaboratorio de Genética, UDIAT-Centre Diagnòstic, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.ORCID 0000-0003-0677-240X
Marina ViñasLaboratorio de Genética, UDIAT-Centre Diagnòstic, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Montse TorraLaboratorio de Genética, UDIAT-Centre Diagnòstic, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Anna BrunetDepartamento de Investigación Oncológica, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Miquel A SeguíDepartamento de Oncología Médica, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Eugeni SaigíDepartamento de Oncología Médica, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Miriam GuitartLaboratorio de Genética, UDIAT-Centre Diagnòstic, Corporació Sanitària Parc Taulí Institut Universitari (UAB), Parc Taulí s/n, Sabadell, 08208 Barcelona, Spain.
Corporació Sanitària Parc Taulí · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High throughput methods such as next generation sequencing are increasingly used in molecular diagnosis. The aim of this study was to develop a workflow for the detection of BRCA1 and BRCA2 mutations using massive parallel sequencing in a 454 GS Junior bench top sequencer. Our approach was first validated in a panel of 23 patients containing 62 unique variants that had been previously Sanger sequenced. Subsequently, 101 patients with familial breast and ovarian cancer were studied. BRCA1 and BRCA2 exon enrichment has been performed by PCR amplification using the BRCA MASTR kit (Multiplicom). Bioinformatic analysis of reads is performed with the AVA software v2.7 (Roche). In total, all 62 variants were detected resulting in a sensitivity of 100%. 71 false positives were called resulting in a specificity of 97.35%. All of them correspond to deletions located in homopolymeric stretches. The analysis of the homopolymers stretches of 6 bp or longer using the BRCA HP kit (Multiplicom) increased the specificity of the detection of BRCA1 and BRCA2 mutations to 99.99%. We show here that massive parallel pyrosequencing can be used as a diagnostic strategy to test for BRCA1 and BRCA2 mutations meeting very stringent sensitivity and specificity parameters replacing traditional Sanger sequencing with a lower cost.

Indexed as

High-Throughput Nucleotide SequencingMutationBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsDNA Mutational AnalysisFemaleHumansOvarian NeoplasmsSensitivity and SpecificityBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, human

Identifiers

PMID25136594
PMCPMC4098986
OpenAlexW2124945523

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.