Impact of Treatment Type on Overall Survival in Elderly Brazilian Women with Breast Cancer

Autor: Bello, Marcelo Adeodato, de Menezes, Raquel Ferreira, Silva, Brunna de Sousa, da Silva, Rafael de Carvalho, Cavalcanti, Rousiane Silva, Moraes, Thayane de Fátima da Costa, Tonellotto, Fabiana, de Aguiar, Suzana Sales, Martucci, Renata Brum, Bergmann, Anke, Thuler, Luiz Claudio Santos
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Asian Pacific Journal of Cancer Prevention : APJCP
ISSN: 2476-762X
1513-7368
Popis: Objective: To analyze the survival of elderly patients with breast cancer according to the type of treatment used. Methods: A cohort study of women aged 80 or over with breast cancer registered with the Brazilian National Cancer Institute (Instituto Nacional do Câncer - INCA) between 2008 and 2009 was conducted. Prognosis was analyzed according to the cancer treatment performed: surgery, radiotherapy, or hormone therapy. Analysis of the overall 5-year survival rate was performed using the Kaplan - Meier method, and comparisons of curves were undertaken using the log-rank test. For multiple regression analysis, Cox regression was used, adjusting for age and clinical stage, considering values of p < 0.05 as significant. Data were all analyzed using the statistical package SPSS version 20. Results: 70 women with a mean age of 84.0 ± 3.7 years at diagnosis participated in the study. The median follow-up time was 37.1 months (range 0.5–75.5), and 31 deaths (44.3%) occurred during this time. The median survival time was 51.2 months (95% CI, 44.9–57.4), higher in those who underwent surgery (p = 0.012) and those who had hormone therapy (p=0.001). Treatment with surgery reduced the risk of death by 61.7% (HR 0.3; 95% CI, 0.1–0.6; p = 0.001) when adjusted for clinical stage and age at diagnosis. However, there was no significant benefit from radiotherapy (HR 1.2; 95% CI, 0.5–2.5; p = 0.694). Conclusion: Treatment with surgery and hormone therapy increased the survival of our Brazilian patients with breast cancer aged 80 or over.
Databáze: OpenAIRE
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