ABSTRACT
BACKGROUND AND PURPOSE: This large population-based, retrospective, single-center study aimed to identify prognostic factors in patients with brain metastases (BM) from gynecological cancers. MATERIAL AND METHODS: One hundred and forty four patients with BM from gynecological cancer treated with radiotherapy (RT) were identified. Primary cancer diagnosis, age, performance status, number of BM, presence of extracranial disease, and type of BM treatment were assessed. Overall survival (OS) was calculated using the Kaplan-Meier method and the Cox proportional hazards regression model was used for multivariable analysis. A prognostic index (PI) was developed based on scores from independent predictors of OS. RESULTS: Median OS for the entire study population was 6.2 months. Forty per cent of patients died within 3 months after start of RT. Primary cancer with the origin in cervix or vulva (p = 0.001), Eastern Cooperative Oncology Group (ECOG) 3-4 (p < 0.001), and the presence of extracranial disease (p = 0.001) were associated with significantly shorter OS. The developed PI based on these factors, categorized patients into three risk groups with a median OS of 13.5, 4.0, and 2.4 months for the good, intermediate, and poor prognosis group, respectively. INTERPRETATION: Patients with BM from gynecological cancers carry a poor prognosis. We identified prognostic factors and developed a scoring tool to select patients with better or worse prognosis. Patients in the high-risk group have a particular poor prognosis, and omission of RT could be considered.
Subject(s)
Brain Neoplasms , Genital Neoplasms, Female , Humans , Female , Brain Neoplasms/secondary , Brain Neoplasms/radiotherapy , Brain Neoplasms/mortality , Middle Aged , Retrospective Studies , Aged , Genital Neoplasms, Female/radiotherapy , Genital Neoplasms, Female/pathology , Genital Neoplasms, Female/mortality , Prognosis , Adult , Aged, 80 and over , Kaplan-Meier Estimate , Cranial Irradiation/methods , Proportional Hazards Models , Survival RateABSTRACT
BACKGROUND: Patients with esophageal cancer seldom achieve long-term survival. This prospective cohort study investigated the selection of patients likely to benefit from curative treatment and whether information on patients' health-related quality of life (HRQL) would assist treatment decisions in the multidisciplinary team. METHODS: Consecutive patients completed HRQL assessments and clinical data were collected before start of treatment. Logistic regression analyses identified clinical factors associated with treatment intent in patients with stage-III disease. Kaplan-Meier method was used for survival analyses and Cox proportional hazards models were used to assess the impact of clinical factors and HRQL on survival in patients planned for curative treatment. RESULTS: Patients with curative treatment intent (n = 90) were younger, had better WHO performance status and less fatigue than patients with palliative treatment intent (n = 89). Median survival for the total cohort (n = 179) and patients with palliative or curative treatment intent was nine, five and 19 months, respectively. In multivariate Cox regression analyses, performance status (0-1 favorable) and comorbidity (ASA I favorable) were factors of importance for survival, whereas measures of HRQL were not. CONCLUSIONS: Patients performance status and comorbidity must be considered in addition to stage of disease to avoid extensive curative treatment in patients with short life expectancy. This study did not provide evidence to support that information on patients HRQL adds value to the multidisciplinary team's treatment decision process.
