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Abstract
Several studies have demonstrated the cost-effectiveness of genetic testing for surveillance and treatment of carriers of germline pathogenic variants associated with hereditary breast/ovarian cancer syndrome (HBOC). In Brazil, seventy percent of the population is assisted by the public Unified Health System (SUS), where genetic testing is still unavailable. And few studies were performed regarding the prevalence of HBOC pathogenic variants in this context. Here, we estimated the prevalence of germline pathogenic variants in BRCA1, BRCA2 and TP53 genes in Brazilian patients suspected of HBOC and referred to public healthcare service. Predictive power of risk prediction models for detecting mutation carriers was also evaluated. We found that 41 out of 257 tested patients (15.9%) were carriers of pathogenic variants in the analyzed genes. Most frequent pathogenic variant was the founder Brazilian mutation TP53 c.1010G > A (p.Arg337His), adding to the accumulated evidence that supports inclusion of TP53 in routine testing of Brazilian HBOC patients. Surprisingly, BRCA1 c.5266dupC (p.Gln1756fs), a frequently reported pathogenic variant in Brazilian HBOC patients, was not observed. Regarding the use of predictive models, we found that familial history of cancer might be used to improve selection or prioritization of patients for genetic testing, especially in a context of limited resources.
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1 Instituto Nacional de Câncer (INCA), Programa de Genética e Virologia Tumoral, Rio de Janeiro, Brazil (GRID:grid.419166.d)
2 Instituto Nacional de Câncer (INCA), Programa de Genética e Virologia Tumoral, Rio de Janeiro, Brazil (GRID:grid.419166.d); Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron Barcelona Hospital Campus, Hereditary Cancer Genetics Group, Barcelona, Spain (GRID:grid.411083.f) (ISNI:0000 0001 0675 8654)
3 Instituto Nacional de Câncer (INCA), Programa de Genética e Virologia Tumoral, Rio de Janeiro, Brazil (GRID:grid.419166.d); Universidade Federal do Rio de Janeiro (UFRJ), Programa de Pós-Graduação em Genética, Rio de Janeiro, Brazil (GRID:grid.8536.8) (ISNI:0000 0001 2294 473X)
4 Instituto Nacional de Câncer (INCA), Centro de Transplante de Medula Óssea, Rio de Janeiro, Brazil (GRID:grid.419166.d)
5 Instituto Nacional de Câncer (INCA), Programa de Genética e Virologia Tumoral, Rio de Janeiro, Brazil (GRID:grid.419166.d); NIH, Tumor Virus RNA Biology Section, HIV DRP, National Cancer Institute, Frederick, USA (GRID:grid.94365.3d) (ISNI:0000 0001 2297 5165)
6 Instituto Nacional de Câncer (INCA), Laboratório de Bioinformática e Biologia Computacional, Rio de Janeiro, Brazil (GRID:grid.419166.d)