INCA (Instituto Nacional do Câncer). Estimativa 2018. Incidência do Câncer no Brasil. INCA. 1nd ed. Rio de Janeiro, 2017.
Graffeo R, Livraghi L, Pagani O, Goldhirsch A, Partridge AH, Garber JE. Time to incorporate germline multigene panel testing into breast and ovarian cancer patient care. Breast Cancer Res Treat. 2016;160:393–410.
Article
CAS
PubMed
Google Scholar
NCCN—National Comprehensive Cancer Network. Clinical practice guidelines in oncology. genetic/familial high-risk assessment: breast and ovarian (version 2.2017). 2016. https://www.nccn.org/professionals/physician_gls/f_guidelines.asp. Accessed 15 Dec 2017.
Palmero EI, Schuler-Faccini L, Caleffi M, Achatz MI, Olivier M, Martel-Planche G, et al. Detection of R337H, a germline TP53 mutation predisposing to multiple cancers, in asymptomatic women participating in a breast cancer screening program in Southern Brazil. Cancer Lett. 2008;261:21–5.
Article
CAS
PubMed
Google Scholar
Achatz MI, Olivier M, Le Calvez F, Martel-Planche G, Lopes A, Rossi BM, et al. The TP53 mutation, R337H, is associated with Li-Fraumeni and Li-Fraumeni-like syndromes in Brazilian families. Cancer Lett. 2007;245:96–102.
Article
CAS
PubMed
Google Scholar
Assumpcao JG, Seidinger AL, Mastellaro MJ, Ribeiro RC, Zambetti GP, Ganti R, et al. Association of the germline TP53 R337H mutation with breast cancer in southern Brazil. BMC Cancer. 2008;8:357.
Article
CAS
PubMed
PubMed Central
Google Scholar
Gomes MC, Kotsopoulos J, de Almeida GL, Costa MM, Vieira R, Filho Fde A, et al. The R337H mutation in TP53 and breast cancer in Brazil. Hered Cancer Clin Pract. 2012;10:3.
Article
CAS
PubMed
PubMed Central
Google Scholar
Giacomazzi J, Graudenz MS, Osorio CA, Koehler-Santos P, Palmero EI, Zagonel-Oliveira M, et al. Prevalence of the TP53 p.R337H mutation in breast cancer patients in Brazil. PLoS One. 2014;9:e99893.
Article
CAS
PubMed
PubMed Central
Google Scholar
Cury NM, Ferraz VE, Silva WA. Jr. TP53 p.R337H prevalence in a series of Brazilian hereditary breast cancer families. Hered Cancer Clin Pract. 2014;12:8.
Article
CAS
PubMed
PubMed Central
Google Scholar
Weischer M, Bojesen SE, Ellervik C, Tybjaerg-Hansen A, Nordestgaard BG. CHEK2*1100delC genotyping for clinical assessment of breast cancer risk: meta-analyses of 26,000 patient cases and 27,000 controls. J Clin Oncol. 2008;26:542–8.
Article
PubMed
Google Scholar
Bogdanova N, Enssen-Dubrowinskaja N, Feshchenko S, Lazjuk GI, Rogov YI, Dammann O, et al. Association of two mutations in the CHEK2 gene with breast cancer. Int J Cancer. 2005;116:263–6.
Article
CAS
PubMed
Google Scholar
Liu C, Wang Y, Wang QS, Wang YJ. The CHEK2 I157T variant and breast cancer susceptibility: a systematic review and meta-analysis. Asian Pac J Cancer Prev. 2012;13:1355–60.
Article
PubMed
Google Scholar
Dufloth RM, Carvalho S, Heinrich JK, Shinzato JY, dos Santos CC, Zeferino LC, et al. Analysis of BRCA1 and BRCA2 mutations in Brazilian breast cancer patients with positive family history. Sao Paulo Med J. 2005;123:192–7.
Article
PubMed
Google Scholar
Gomes MC, Costa MM, Borojevic R, Monteiro AN, Vieira R, Koifman S, et al. Prevalence of BRCA1 and BRCA2 mutations in breast cancer patients from Brazil. Breast Cancer Res Treat. 2007;103:349–53.
Article
CAS
PubMed
Google Scholar
Esteves VF, Thuler LC, Amendola LC, Koifman RJ, Koifman S, Frankel PP, et al. Prevalence of BRCA1 and BRCA2 gene mutations in families with medium and high risk of breast and ovarian cancer in Brazil. Braz J Med Biol Res. 2009;42:453–7.
Article
CAS
PubMed
Google Scholar
Ewald IP, Izetti P, Vargas FR, Moreira MA, Moreira AS, Moreira-Filho CA, et al. Prevalence of the BRCA1 founder mutation c.5266dupin Brazilian individuals at-risk for the hereditary breast and ovarian cancer syndrome. Hered Cancer Clin Pract. 2011;9:12.
Article
CAS
PubMed
PubMed Central
Google Scholar
Dillenburg CV, Bandeira IC, Tubino TV, Rossato LG, Dias ES, Bittelbrunn AC, et al. Prevalence of 185delAG and 5382insC mutations in BRCA1, and 6174delT in BRCA2 in women of Ashkenazi Jewish origin in southern Brazil. Genet Mol Biol. 2012;35:599–602.
Article
CAS
PubMed
PubMed Central
Google Scholar
Felix GE, Abe-Sandes C, Machado-Lopes TM, Bomfim TF, Guindalini RS, Santos VC, et al. Germline mutations in BRCA1, BRCA2, CHEK2 and TP53 in patients at high-risk for HBOC: characterizing a Northeast Brazilian Population. Hum Genome Var. 2014;1:14012.
Article
CAS
PubMed
PubMed Central
Google Scholar
Carraro DM, Koike Folgueira MA, Garcia Lisboa BC, Ribeiro Olivieri EH, Vitorino Krepischi AC, de Carvalho AF, et al. Comprehensive analysis of BRCA1, BRCA2 and TP53 germline mutation and tumor characterization: a portrait of early-onset breast cancer in Brazil. PLoS One. 2013;8:e57581.
Article
CAS
PubMed
PubMed Central
Google Scholar
Silva FC, Lisboa BC, Figueiredo MC, Torrezan GT, Santos EM, Krepischi AC, et al. Hereditary breast and ovarian cancer: assessment of point mutations and copy number variations in Brazilian patients. BMC Med Genet. 2014;15:55.
Article
CAS
PubMed
PubMed Central
Google Scholar
Fernandes GC, Michelli RA, Galvao HC, Paula AE, Pereira R, Andrade CE, et al. Prevalence of BRCA1/BRCA2 mutations in a Brazilian population sample at-risk for hereditary breast cancer and characterization of its genetic ancestry. Oncotarget. 2016;7:80465–81.
PubMed
PubMed Central
Google Scholar
Oliveira ES, Soares BL, Lemos S, Rosa RC, Rodrigues AN, Barbosa LA, et al. Screening of the BRCA1 gene in Brazilian patients with breast and/or ovarian cancer via high-resolution melting reaction analysis. Fam Cancer. 2016;15:173–81.
Article
CAS
PubMed
Google Scholar
Bastien R, Lewis TB, Hawkes JE, Quackenbush JF, Robbins TC, Palazzo J, et al. High-throughput amplicon scanning of the TP53 gene in breast cancer using high-resolution fluorescent melting curve analyses and automatic mutation calling. Hum Mutat. 2008;29:757–64.
Article
CAS
PubMed
Google Scholar
Borun P, Salanowski K, Godlewski D, Walkowiak J, Plawski A. Rapid detection method for the four most common CHEK2 mutations based on melting profile analysis. Mol Diagn Ther. 2015;19:419–25.
Article
CAS
PubMed
PubMed Central
Google Scholar
Tavtigian SV, Deffenbaugh AM, Yin L, Judkins T, Scholl T, Samollow PB, et al. Comprehensive statistical study of 452 BRCA1 missense substitutions with classification of eight recurrent substitutions as neutral. J Med Genet. 2006;43:295–305. (Online Server: http://agvgd.iarc.fr/. Accessed Mar 2017).
Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, et al. A method and server for predicting damaging missense mutations. Nat Methods 2010;7:248–249. (Online Server: http://genetics.bwh.harvard.edu/pph2/. Accessed Mar 2017).
Ng PC, Henikoff S. Predicting deleterious amino acid substitutions. Genome Res. 2001;11:863–74. (Online Server: http://siftdna.org/www/SIFT_dbSNP.html. Accessed Mar 2017).
Reva B, Antipin Y, Sander C. Predicting the functional impact of protein mutations: application to cancer genomics. Nucleic Acids Res. 2011;39:e118. (Online Server: http://mutationassessor.org/r3/. Acessed: Mar 2017).
Capriotti E, Calabrese R, Casadio R. Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information. Bioinformatics 2006;22:2729–34. (Online Server: http://snps.biofold.org/phd-snp/phd-snp.html. Acessed Mar 2017).
Bava KA, Gromiha MM, Uedaira H, Kitajima K, Sarai A, ProTherm, version 4.0: thermodynamic database for proteins and mutants. Nucleic acids research 2004;32:D120–1. (Online Server: http://folding.biofold.org/i-mutant/i-mutant2.0.html. Acessed Mar 2017).
Wang M, Marin A. Characterization and prediction of alternative splice sites. Gene 2006; 366:219–27. (Online Server: http://www.wangcomputing.com/assp/index.html. Acessed Mar 2017).
Desmet FO, Hamroun D, Lalande M, Collod-Beroud G, Claustres M, Beroud C. Human splicing finder: an online bioinformatics tool to predict splicing signals. Nucleic Acids Res. 2009;37:e67. (Online Server: http://www.umd.be/HSF3/HSF.shtml, Acessed Mar 2017).
Dogan RI, Getoor L, Wilbur WJ, Mount SM. SplicePort—an interactive splice-site analysis tool. Nucleic Acids Res 2007;35:W285–291. (Online Server: http://spliceport.cbcb.umd.edu/. Acessed Mar 2017).
Hall MJ, Reid JE, Wenstrup RJ. Prevalence of BRCA1 and BRCA2 mutations in women with breast carcinoma In Situ and referred for genetic testing. Cancer Prev Res. 2010;3:1579–85.
Article
Google Scholar
Kim H, Cho DY, Choi DH, Choi SY, Shin I, Park W, et al. Characteristics and spectrum of BRCA1 and BRCA2 mutations in 3,922 Korean patients with breast and ovarian cancer. Breast Cancer Res Treat. 2012;134:1315–26.
Article
CAS
PubMed
Google Scholar
Farooq A, Naveed AK, Azeem Z, Ahmad T. Breast and ovarian cancer risk due to prevalence of BRCA1 and BRCA2 variants in Pakistani population: a Pakistani database report. J Oncol 2011;2011:632870.
Article
CAS
PubMed
PubMed Central
Google Scholar
Andrade KC, Santiago KM, Fortes FP, Mambelli LI, Nobrega AF, Achatz MI. Early-onset breast cancer patients in the South and Southeast of Brazil should be tested for the TP53 p.R337H mutation. Genet Mol Biol. 2016;39:199–202.
Article
CAS
PubMed
PubMed Central
Google Scholar
Cai Z, Chehab NH, Pavletich NP. Structure and activation mechanism of the CHK2 DNA damage checkpoint kinase. Mol Cell. 2009;35:818–29.
Article
CAS
PubMed
Google Scholar
Kryukov GV, Pennacchio LA, Sunyaev SR. Most rare missense alleles are deleterious in humans: implications for complex disease and association studies. Am J Hum Genet. 2007;80:727–39.
Article
CAS
PubMed
PubMed Central
Google Scholar