OBJECTIVE: Treatment-free interval has been confirmed as a significant prognostic factor in recurrent gynecological cancers. However, treatment-free interval has not been evaluated in previous studies investigating brain metastasis from gynecological malignancies. The aim of the study was to establish a predictive model of survival period after brain metastasis from gynecological cancer. METHODS: Of a total of 2848 patients with gynecological cancer, patients with brain metastasis were included in the study. Data at the time of brain metastasis diagnosis, which included primary origin, presence of extracranial metastasis, the Eastern Cooperative Oncology Group (ECOG) performance status, the number of brain metastases, brain-metastasis free-interval, treatment-free interval and treatment for brain metastasis were collected. Survival data were analyzed using Kaplan-Meier methods and Cox proportional hazards models. RESULTS: Incidences of brain metastasis were 1.7% (47/2848). Median survival period after diagnosis of brain metastasis was 20 weeks (4-5 months). The 6-, 12- and 24-month survival rates after brain metastasis were 44.0%, 22.0% and 16.5%, respectively. Cox regression analysis showed that extracranial metastasis (hazard ratio [HR], 5.2; 95% confidence interval [CI]: 1.04-26.3), ECOG performance status of 3-4 (HR, 3.1; 95% CI: 1.20-7.91), treatment-free interval of <6 months (HR, 3.8; 95% CI: 1.09-13.1), and no anti-cancer treatment for brain metastasis (HR, 3.6; 95% CI: 1.34-9.41) were significantly and independently related to poor survival. CONCLUSION: Treatment-free interval should be assessed in a future study to verify prognostic predictors of brain metastasis from gynecological cancer.
OBJECTIVE: Treatment-free interval has been confirmed as a significant prognostic factor in recurrent gynecological cancers. However, treatment-free interval has not been evaluated in previous studies investigating brain metastasis from gynecological malignancies. The aim of the study was to establish a predictive model of survival period after brain metastasis from gynecological cancer. METHODS: Of a total of 2848 patients with gynecological cancer, patients with brain metastasis were included in the study. Data at the time of brain metastasis diagnosis, which included primary origin, presence of extracranial metastasis, the Eastern Cooperative Oncology Group (ECOG) performance status, the number of brain metastases, brain-metastasis free-interval, treatment-free interval and treatment for brain metastasis were collected. Survival data were analyzed using Kaplan-Meier methods and Cox proportional hazards models. RESULTS: Incidences of brain metastasis were 1.7% (47/2848). Median survival period after diagnosis of brain metastasis was 20 weeks (4-5 months). The 6-, 12- and 24-month survival rates after brain metastasis were 44.0%, 22.0% and 16.5%, respectively. Cox regression analysis showed that extracranial metastasis (hazard ratio [HR], 5.2; 95% confidence interval [CI]: 1.04-26.3), ECOG performance status of 3-4 (HR, 3.1; 95% CI: 1.20-7.91), treatment-free interval of <6 months (HR, 3.8; 95% CI: 1.09-13.1), and no anti-cancer treatment for brain metastasis (HR, 3.6; 95% CI: 1.34-9.41) were significantly and independently related to poor survival. CONCLUSION: Treatment-free interval should be assessed in a future study to verify prognostic predictors of brain metastasis from gynecological cancer.
Authors: A N van den Pol; X Zhang; E Lima; M Pitruzzello; N Albayrak; A Alvero; J N Davis; G Mor Journal: Virology Date: 2020-11-12 Impact factor: 3.616
Authors: Alexandre André Balieiro Anastácio da Costa; Elizabeth Santana Dos Santos; Deborah Porto Cotrim; Natasha Carvalho Pandolfi; Marcelle Goldner Cesca; Henrique Mantoan; Solange Moraes Sanches; Adriana Regina Gonçalves Ribeiro; Louise de Brot; Graziele Bonvolim; Paulo Issamu Sanematsu; Ronaldo Pereira de Souza; Joyce Maria Lisboa Maya; Fabrício de Souza Castro; João Paulo da Nogueira Silveira Lima; Michael Jenwel Chen; Andrea Paiva Gadelha Guimarães; Glauco Baiocchi Journal: BMC Cancer Date: 2019-12-05 Impact factor: 4.430