ABSTRACT OBJECTIVE: To analyze the cost effectiveness of the diagnostic program for the germline mutation in BRCA1/2 genes and of preventative strategies for the relatives of patients diagnosed with ovarian cancer associated with this mutation. METHODS: The study analyzed the cost effectiveness by developing an analysis of the Markov decision process from the perspective of the National Health System. The strategies compared reflect upon the adoption of genetic testing and preventative strategies for relatives or the usual care currently proposed. The incremental cost-effectiveness ratio was expressed in terms of cost per case avoided. The sensitivity analysis was performed in a univariate and deterministic manner. RESULTS: The study showed increments for effectiveness and for costs when performing genetic testing and adopting prophylactic measures for family members. The incremental cost-effectiveness ratio was estimated at R$908.58 per case of cancer avoided, a figure considered lower than the study's cost-effectiveness threshold (R$7,543.50). CONCLUSIONS: The program analyzed should be considered a cost-effective strategy for the national situation. Studies in various other countries have reached similar conclusions. One possible ramification of this research might the need to perform a budgetary-impact analysis of making the program one of the country's health policies.

ABSTRACT OBJECTIVE: To analyze the cost effectiveness of the diagnostic program for the germline mutation in BRCA1/2 genes and of preventative strategies for the relatives of patients diagnosed with ovarian cancer associated with this mutation. METHODS: The study analyzed the cost effectiveness by developing an analysis of the Markov decision process from the perspective of the National Health System. The strategies compared reflect upon the adoption of genetic testing and preventative strategies for relatives or the usual care currently proposed. The incremental cost-effectiveness ratio was expressed in terms of cost per case avoided. The sensitivity analysis was performed in a univariate and deterministic manner. RESULTS: The study showed increments for effectiveness and for costs when performing genetic testing and adopting prophylactic measures for family members. The incremental cost-effectiveness ratio was estimated at R$908.58 per case of cancer avoided, a figure considered lower than the study's cost-effectiveness threshold (R$7,543.50). CONCLUSIONS: The program analyzed should be considered a cost-effective strategy for the national situation. Studies in various other countries have reached similar conclusions. One possible ramification of this research might the need to perform a budgetary-impact analysis of making the program one of the country's health policies.

Resumo Objetivo: avaliar se mutações somáticas em câncer de mama e seroso de ovário estão associados com pacientes jovens. Métodos: com base no COSMIC, foram selecionados os cinco genes mais frequentes mutados em câncer de mama e seroso de ovário. Em seguida, realizou-se uma revisão sistemática no PubMed. Pacientes jovens foram classificadas com ≤35 anos e ≤40 anos para câncer de mama e seroso de ovário, respectivamente. Classificaram-se também as pacientes em grupos etários de ≤30 anos, separados a cada 10 anos. Resultados: vinte e seis (1.980 pacientes, 111 jovens) e 16 estudos (598, 41 jovens) foram selecionados para câncer de mama e seroso de ovário, respectivamente. Em câncer de mama, pacientes jovens apresentaram baixa frequência de mutações somáticas em PIK3CA. Tumor HER2 negativo foi associado a mutações somáticas em PIK3CA no grupo etário mais avançado, e em tumores ER positivos foi observada uma tendência a essa associação. Mutações somáticas em TP53 foram observadas em 20% dos tumores, em ambos os grupos (≤35 anos vs. ≥35 anos). Mutações somáticas em PTEN, CDH1 e GATA3 foram analisadas em 16 pacientes e apenas uma apresentou mutação em PTEN. Em câncer seroso de ovário, mutações somáticas em TP53 foram detectadas em mais que 50% dos tumores; entretanto, foram mais frequentes em pacientes idosas. Conclusão: a frequência de mutações somáticas nos genes selecionados não foi associada com pacientes jovens. Embora muito comum em pacientes com câncer seroso de ovário, mutações somáticas em TP53 foram mais frequentes em pacientes mais velhas.

Summary Objective: our aim was to evaluate whether somatic mutations in five genes were associated with an early age at presentation of breast cancer (BC) or serous ovarian cancer (SOC). Methods: COSMIC database was searched for the five most frequent somatic mutations in BC and SOC. A systematic review of PubMed was performed. Young age for BC and SOC patients was set at ≤35 and ≤40 years, respectively. Age groups were also classified in <30years and every 10 years thereafter. Results: twenty six (1,980 patients, 111 younger) and 16 studies (598, 41 younger), were analyzed for BC and SOC, respectively. In BC, PIK3CA wild type tumor was associated with early onset, not confirmed in binary regression with estrogen receptor (ER) status. In HER2-negative tumors, there was increased frequency of PIK3CA somatic mutation in older age groups; in ER-positive tumors, there was a trend towards an increased frequency of PIK3CA somatic mutation in older age groups. TP53 somatic mutation was described in 20% of tumors from both younger and older patients; PTEN, CDH1 and GATA3 somatic mutation was investigated only in 16 patients and PTEN mutation was detected in one of them. In SOC, TP53 somatic mutation was rather common, detected in more than 50% of tumors, however, more frequently in older patients. Conclusion: frequency of somatic mutations in specific genes was not associated with early-onset breast cancer. Although very common in patients with serous ovarian cancer diagnosed at all ages, TP53 mutation was more frequently detected in older women.

Resumo Objetivos: analisar fatores que possam indicar uma predisposição familiar ao câncer de ovário em pacientes com este diagnóstico. Métodos: em estudo de coorte prospectiva realizado no Instituto do Câncer do Estado de São Paulo (ICESP), foram incluídas 51 mulheres diagnosticadas com câncer de ovário entre janeiro de 2009 e dezembro de 2011. Predisposição familiar para câncer de ovário foi definida como um risco maior de 10% de apresentar uma mutação em BRCA1/2, de acordo com o sistema de pontes de Manchester, um método validado para avaliar a probabilidade de detecção de mutação nesses genes. Cada paciente foi entrevistada com um questionário padronizado, abordando fatores de risco para câncer de ovário e outros fatores que pudessem influenciar o risco de desenvolver a doença. O impacto dos fatores avaliados na probabilidade de detecção da mutação foi avaliado com regressões logísticas. Resultados: dezessete das 51 pacientes referiram história familiar de câncer de mama e/ou ovário, quatro pacientes apresentavam antecedente pessoal de câncer de mama ou endométrio, 11 haviam sido diagnosticadas antes dos 50 anos e 12 apresentaram um risco maior que 10% de predisposição familiar a câncer de ovário. Pacientes com comorbidades como hipertensão, diabetes, disfunções hormonais, dislipidemia e distúrbios psiquiátricos apresentaram menor risco de predisposição familiar ao câncer de ovário (OR: 0.22; IC 95%: 0.06-0.88; p=0.03). Conclusão: neste estudo, apresentar alguma comorbidade foi associado a um menor risco de ter uma predisposição familiar ao câncer de ovário. Outros fatores associados ao risco de câncer de ovário não tiveram nenhum impacto sobre esta predisposição.

Summary Objectives: to analyze factors that might indicate familial predisposition for ovarian cancer in patients diagnosed with this disease. Methods: in a prospective single center cohort study at the Institute of Cancer of the State of São Paulo (ICESP), 51 women diagnosed with ovarian cancer were included. Familial predisposition for ovarian cancer was defined as having a higher than 10% chance of having a BRCA1/2 mutation according to the Manchester scoring system, a validated method to assess the likelihood of mutation detection. Each patient was interviewed with a standardized questionnaire on established risk factors for ovarian cancer and other factors that might influence the risk to develop ovarian cancer. Logistic regression analyses were performed to estimate the impact of the evaluated factors on the likelihood of mutation detection, by calculating odds ratios and 95% confidence intervals. Results: seventeen out of 51 patients had a family history of breast and/or ovarian cancer, four patients had a history of breast or endometrial cancer, 11 were diagnosed before the age of 50, and 12 presented a risk of familial predisposition to ovarian cancer higher than 10%. Patients with comorbidities, such as hypertension, diabetes, hormonal disorders, dyslipidemia and psychiatric conditions, presented a lower chance of having a familial predisposition for ovarian cancer (OR: 0.22; 95% CI: 0.06-0.88; p=0.03). Conclusion: in this study, having comorbidities was associated with a lower risk of having a familial predisposition for ovarian cancer. Other factors associated with the risk of ovarian cancer did not have an impact on this predisposition.