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Early-onset breast cancer patients in the South and Southeast of Brazil should be tested for the TP53 p.R337H mutation

Overview of attention for article published in Genetics and Molecular Biology, May 2016
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Title
Early-onset breast cancer patients in the South and Southeast of Brazil should be tested for the TP53 p.R337H mutation
Published in
Genetics and Molecular Biology, May 2016
DOI 10.1590/1678-4685-gmb-2014-0343
Pubmed ID
Authors

Kelvin C. Andrade, Karina M. Santiago, Fernanda P. Fortes, Lisley I. Mambelli, Amanda F. Nóbrega, Maria I. Achatz

Abstract

Germline TP53 mutations are associated with Li-Fraumeni syndrome (LFS), a disease that predisposes carriers to a wide variety of early onset tumors. In southern and southeastern Brazil, a high frequency of a germline TP53 mutation, p.R337H, was diagnosed in 0,3% of the population due to a founder effect. Carriers are at risk for developing cancer but the penetrance is lower than in typical DNA binding domain mutations. To date, only a few families were detected and diagnosis of carriers remains a challenge. Therefore, the inclusion of additional criteria to detect p.R337H carriers is necessary for the Brazilian population. We assessed the A.C. Camargo Cancer Center Oncogenetics Department database in search of common characteristics associated with p.R337H families that did not fulfill LFS/LFL clinical criteria. Among 42 p.R337H families, three did not meet any LFS/LFL criteria. All cases were young female patients with breast cancer diagnosed before age 45 and with no family history of LFS linked-cancers. Our results suggest that screening for the germline TP53 p.R337H mutation should be indicated, along with BRCA1 and BRCA2 genetic testing, for this group of patients, especially in the South and Southeast of Brazil.

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Mendeley readers

Mendeley readers

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 %
Student > Master 13 33%
Student > Bachelor 7 18%
Student > Doctoral Student 4 10%
Researcher 3 8%
Professor 2 5%
Other 5 13%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 11 28%
Agricultural and Biological Sciences 5 13%
Nursing and Health Professions 3 8%
Environmental Science 1 3%
Other 0 0%
Unknown 9 23%
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 30 August 2018.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Genetics and Molecular Biology
#551
of 771 outputs
Outputs of similar age
#265,645
of 348,784 outputs
Outputs of similar age from Genetics and Molecular Biology
#6
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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