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A New Rapid Methodological Strategy to Assess BRCA Mutational Status

Overview of attention for article published in Molecular Biotechnology, January 2013
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Title
A New Rapid Methodological Strategy to Assess BRCA Mutational Status
Published in
Molecular Biotechnology, January 2013
DOI 10.1007/s12033-012-9646-0
Pubmed ID
Authors

Emilia Vuttariello, Marco Borra, Celeste Calise, Elvira Mauriello, Stefano Greggi, Aldo Vecchione, Elio Biffali, Gennaro Chiappetta

Abstract

Hereditary cancers account for approximately 10 % of breast and ovarian cancers. Mutations of the BRCA1 and BRCA2 genes, encoding two proteins involved in DNA repair, underlie most cases of such hereditary cancers. Women with BRCA mutations develop breast cancer in 50-80 % of cases and ovarian cancer in 10-40 % of cases. Assessing BRCA mutational status is needed to direct the clinical management of women with predisposition to these hereditary cancers. However, BRCA screening constitutes a bottleneck in terms of costs and time to deliver results. We developed a PCR-based assay using 73 primer pairs covering the entire coding regions of BRCA1 and BRCA2. PCR primers, containing at the 5' end the universal M13 primer sequences, were pre-spotted in 96-well plates. Following PCR, direct sequencing was performed using M13 primers, allowing to standardize the conditions. PCR amplification and sequencing were successful for each amplicon. We tested and validated the assay on 10 known gDNAs from patients with Hereditary breast and ovarian cancer (HBOC). Our strategy is a promising time and cost-effective method to detect BRCA mutations in the clinical setting, which is essential to formulate a personalized therapy for patients with HBOC.

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The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Bachelor 7 18%
Student > Master 7 18%
Student > Postgraduate 5 13%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 25%
Medicine and Dentistry 9 23%
Biochemistry, Genetics and Molecular Biology 8 20%
Computer Science 2 5%
Engineering 2 5%
Other 2 5%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2014.
All research outputs
#15,299,491
of 22,753,345 outputs
Outputs from Molecular Biotechnology
#644
of 957 outputs
Outputs of similar age
#181,662
of 281,712 outputs
Outputs of similar age from Molecular Biotechnology
#6
of 6 outputs
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So far Altmetric has tracked 957 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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