Population prevalence of hereditary breast cancer phenotypes and implementation of a genetic cancer risk assessment program in southern Brazil

Autor: Edenir I. Palmero, Maira Caleffi, Lavínia Schüler-Faccini, Fernanda L. Roth, Luciane Kalakun, Cristina Brinkmann Oliveira Netto, Giovana Skonieski, Juliana Giacomazzi, Bernadete Weber, Roberto Giugliani, Suzi A. Camey, Patricia Ashton-Prolla

Publikováno v: Genetics and Molecular Biology, Vol 32, Iss 3, Pp 447-455 (2009)

In 2004, a population-based cohort (the Núcleo Mama Porto Alegre - NMPOA Cohort) was started in Porto Alegre, southern Brazil and within that cohort, a hereditary breast cancer study was initiated, aiming to determine the prevalence of hereditary br

Externí odkaz: https://doaj.org/article/c0c640b4078949199f7dc6945aa124a9

Prevalence of the STK15 F31I polymorphism and its relationship with mammographic density

Autor: Patricia Ashton-Prolla, Juliana Giacomazzi, Lavinia Schuler-Faccini, Maria Luiza Saraiva-Pereira, Edenir Inêz Palmero, Suzi Alves Camey, Aishameriane Venes Schmidt, Roberto Giugliani, Hugo Bock, Giovana Skonieski, Maira Caleffi, D. Duarte Filho, Ernestina Silva de Aguiar

Publikováno v: Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Brazilian Journal of Medical and Biological Research v.44 n.4 2011
Brazilian Journal of Medical and Biological Research
Associação Brasileira de Divulgação Científica (ABDC)
instacron:ABDC
Brazilian Journal of Medical and Biological Research, Vol 44, Iss 4, Pp 291-296 (2011)
ResearcherID
Brazilian Journal of Medical and Biological Research, Volume: 44, Issue: 4, Pages: 291-296, Published: APR 2011

Several studies have identified the single nucleotide polymorphism STK15 F31I as a low-penetrance risk allele for breast cancer, but its prevalence and risk association in the Brazilian population have not been determined. The goal of this study was

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2512e72bbeac0162e93bff0bffaebf30

A model to optimize public health care and downstage breast cancer in limited-resource populations in southern Brazil. (Porto Alegre Breast Health Intervention Cohort)

Autor: Márcia Silveira Graudenz, Luciane R Franco, Juliana M Zignani, Philip Kivitz, Ademar J. Bedin, Dakir L Duarte Filho, Jefferson G. Fernandes, Patricia Ashton-Prolla, Giovana Skonieski, Maira Caleffi, Rodrigo Antonini Ribeiro, Paula R. Pohlmann, Juliana Giacomazzi, B. Weber

Publikováno v: Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
BMC Public Health
BMC Public Health, Vol 9, Iss 1, p 83 (2009)

Background Breast cancer (BC) is a major public health problem, with rising incidence in many regions of the globe. Although mortality has recently dropped in developed countries, death rates are still increasing in some developing countries, as seen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86470b853c46f1590cf1e01d4e895985

Adherence to mammographic screening in a centralized breast health program in South Brazil: preliminary results

Autor: B. Weber, Maira Caleffi, JV Butzke, P Kivitz, D Duarte, A. Bedin, Giovana Skonieski, Rodrigo Antonini Ribeiro

Publikováno v: Cancer Research. 69:5092

Abstract #5092 Background: There are scarce data on adherence to population-based screening mammography (MMG) in Brazil. A survey conducted with a large nationwide sample (Lima-Costa et al, Cad Saude Publica, 2007) showed a high rate of women that ne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6925cf6701373b7031a52b0d5046e0d7
https://doi.org/10.1158/0008-5472.sabcs-5092

Breast cancer risk estimates using the Gail Model in women from an annual screening program in Southern Brazil

Autor: Patricia Ashton-Prolla, Edenir Inêz Palmero, Luciane Kalakun, Roberto Giugliani, L. Schuler-Faccini, Maira Caleffi, Giovana Skonieski, V. Belo Reyes, A. Bedin, J. M. Zignani

Publikováno v: Journal of Clinical Oncology. 24:20045-20045

20045 Background: The Gail model is widely used to estimate breast cancer (BC) risk. It has been validated as a reliable risk predictor in North America, but very few studies have been done in other countries. This study intends to examine the estima

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6be59fe7e66f6f4e1e92b69d60575abd
https://doi.org/10.1200/jco.2006.24.18_suppl.20045